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"doi": "10.1109/WACV56688.2023.00258",
"title": "Separating Partially-Polarized Diffuse and Specular Reflection Components under Unpolarized Light Sources",
"normalizedTitle": "Separating Partially-Polarized Diffuse and Specular Reflection Components under Unpolarized Light Sources",
"abstract": "Separating diffuse and specular reflection components observed on an object surface is important for preprocessing of various computer vision techniques. Conventionally, diffuse-specular separation based on the polarimetric and color clues assumes that the diffuse/specular reflection components are unpolarized/partially polarized under unpolarized light sources. However, the diffuse reflection component is partially polarized in fact, because the diffuse reflectance is maximal when the polarization direction is parallel to the outgoing plane. Accordingly, we propose a method for separating partially-polarized diffuse and specular reflection components on the basis of the polarization reflection model and the dichromatic reflection model. In particular, our method enables us not only to achieve diffuse-specular separation but also to estimate the polarimetric properties of the object surface from a single color polarization image. We experimentally confirmed that our method performs better than the method assuming unpolarized diffuse reflection components.",
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"content": "Separating diffuse and specular reflection components observed on an object surface is important for preprocessing of various computer vision techniques. Conventionally, diffuse-specular separation based on the polarimetric and color clues assumes that the diffuse/specular reflection components are unpolarized/partially polarized under unpolarized light sources. However, the diffuse reflection component is partially polarized in fact, because the diffuse reflectance is maximal when the polarization direction is parallel to the outgoing plane. Accordingly, we propose a method for separating partially-polarized diffuse and specular reflection components on the basis of the polarization reflection model and the dichromatic reflection model. In particular, our method enables us not only to achieve diffuse-specular separation but also to estimate the polarimetric properties of the object surface from a single color polarization image. We experimentally confirmed that our method performs better than the method assuming unpolarized diffuse reflection components.",
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"affiliation": "Kyushu Institute of Technology,Department of Artificial Intelligence,Fukuoka,Japan,820-8502",
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"doi": "10.1109/ICMEW53276.2021.9455963",
"title": "A No-Reference Visual Quality Metric For 3D Color Meshes",
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"abstract": "To improve the viewers’ quality of experience (QoE) in computer graphics applications, the visual quality assessment (VQA) of 3D meshes is becoming a popular task in the multimedia area. Since 3D meshes are quite sensitive to the processing operations like simplification and compression, many studies concerning the VQA of 3D meshes have been carried out to measure the caused degradations. However, the previous studies mostly utilize full-reference metrics and focus mainly on the geometry attributes. While in some application scenarios such as 3D reconstruction, digital entertainment, and medical modeling, the reference 3D mesh is not always available and the color information can not be ignored. Therefore, in this paper, we propose a no-reference visual quality metric for 3D color meshes, which is based on the statistical parameters and entropy estimated from the probability distributions of curvature, dihedral angles, face area, face angle, and diffuse color information. The performance of the proposed method is validated on a database specially built for VQA of 3D color meshes. Experimental results show that our metric operates stably and achieves the highest correlation with subjective judgement.",
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"content": "To improve the viewers’ quality of experience (QoE) in computer graphics applications, the visual quality assessment (VQA) of 3D meshes is becoming a popular task in the multimedia area. Since 3D meshes are quite sensitive to the processing operations like simplification and compression, many studies concerning the VQA of 3D meshes have been carried out to measure the caused degradations. However, the previous studies mostly utilize full-reference metrics and focus mainly on the geometry attributes. While in some application scenarios such as 3D reconstruction, digital entertainment, and medical modeling, the reference 3D mesh is not always available and the color information can not be ignored. Therefore, in this paper, we propose a no-reference visual quality metric for 3D color meshes, which is based on the statistical parameters and entropy estimated from the probability distributions of curvature, dihedral angles, face area, face angle, and diffuse color information. The performance of the proposed method is validated on a database specially built for VQA of 3D color meshes. Experimental results show that our metric operates stably and achieves the highest correlation with subjective judgement.",
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"Entropy",
"Image Colour Analysis",
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"affiliation": "Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,China",
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"affiliation": "Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,China",
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"affiliation": "Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,China",
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"abstract": "The authors describe an implemented system for touching 3D objects depicted in visual images using a two-dimensional, force-reflecting haptic interface. The system constructs 3D geometric models from real 2D stereo images. The force feedback at each position is computed to provide the sensation of moving a small ball over the surface of the 3D object.",
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"content": "The authors describe an implemented system for touching 3D objects depicted in visual images using a two-dimensional, force-reflecting haptic interface. The system constructs 3D geometric models from real 2D stereo images. The force feedback at each position is computed to provide the sensation of moving a small ball over the surface of the 3D object.",
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"affiliation": "Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada",
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"title": "VRRobot: Robot actuated props in an infinite virtual environment",
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"abstract": "We present the design and development of a fully immersive virtual reality (VR) system that can provide prop-based haptic feedback in an infinite virtual environment. It is conceived as a research tool for studying topics related to haptics in VR and based on off-the-shelf components. A robotic arm moves physical props, dynamically matching pose and location of an object in the virtual world. When the user reaches for the virtual object, his or her hands also encounter it in the real physical space. The interaction is not limited to specific body parts and does not rely on an external structure like an exoskeleton. In combination with a locomotion platform for close-to-natural walking, this allows unrestricted haptic interaction in a natural way in virtual environments of unlimited size. We describe the concept, the hardware and software architecture in detail. We establish safety design guidelines for human-robot interaction in VR. Our technical evaluation shows good response times and accuracy. We report on a user study conducted with 34 participants indicating promising results, and discuss the potential of our system.",
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"abstract": "Our study investigates the effects of (non-)isometric mappings between physical movements and virtual motions in the virtual environment (VE) on walking biomechanics of older adults. Three primary domains (pace, base of support and phase) of spatio-temporal and temporo-phasic parameters were used to evaluate gait performance. Our results show similar results in pace and phasic domains when older adults walk in the VE in the isometric mapping condition compared to the corresponding parameters in the real world. We found significant differences in base of support for our user group between walking in the VE and real world. For non-isometric mappings we found an increased divergence of gait parameters in all domains correlating with the up-or down-scaled velocity of visual self-motion feedback.",
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"title": "2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)",
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"title": "Investigation of gait characteristics in glaucoma patients with a shoe-integrated sensing system",
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"abstract": "Many studies have reported that older adults with glaucoma experience mobility issues due to gait difficulties. These include walking slowly and bumping into obstacles, which increase the risk of falls in glaucoma patients. In this paper, we design and develop a shoe-integrated sensing system as well as signal processing and machine learning algorithms to objectively quantify gait patterns in glaucoma patients. The sensor platform was utilized in a randomized clinical trial involving 9 glaucoma patients and 10 age-matched healthy participants performing a series of gait tests. Sensor signals are collected wirelessly and processed on a local computer. With the captured data, we develop data analysis techniques to make a comparison between gait characteristics in older adults with or without glaucoma. Our results demonstrate that the proposed system achieved an accuracy of more than 90% in distinguishing gait patterns of those with glaucoma from healthy individuals for various gait analysis tests.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Many studies have reported that older adults with glaucoma experience mobility issues due to gait difficulties. These include walking slowly and bumping into obstacles, which increase the risk of falls in glaucoma patients. In this paper, we design and develop a shoe-integrated sensing system as well as signal processing and machine learning algorithms to objectively quantify gait patterns in glaucoma patients. The sensor platform was utilized in a randomized clinical trial involving 9 glaucoma patients and 10 age-matched healthy participants performing a series of gait tests. Sensor signals are collected wirelessly and processed on a local computer. With the captured data, we develop data analysis techniques to make a comparison between gait characteristics in older adults with or without glaucoma. Our results demonstrate that the proposed system achieved an accuracy of more than 90% in distinguishing gait patterns of those with glaucoma from healthy individuals for various gait analysis tests.",
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"normalizedAbstract": "Many studies have reported that older adults with glaucoma experience mobility issues due to gait difficulties. These include walking slowly and bumping into obstacles, which increase the risk of falls in glaucoma patients. In this paper, we design and develop a shoe-integrated sensing system as well as signal processing and machine learning algorithms to objectively quantify gait patterns in glaucoma patients. The sensor platform was utilized in a randomized clinical trial involving 9 glaucoma patients and 10 age-matched healthy participants performing a series of gait tests. Sensor signals are collected wirelessly and processed on a local computer. With the captured data, we develop data analysis techniques to make a comparison between gait characteristics in older adults with or without glaucoma. Our results demonstrate that the proposed system achieved an accuracy of more than 90% in distinguishing gait patterns of those with glaucoma from healthy individuals for various gait analysis tests.",
"fno": "07134077",
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"affiliation": "UCLA Stein Eye Inst., Univ. of California, Los Angeles, Los Angeles, CA, USA",
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"abstract": "Active living in older adults reduces disabilities and increases quality of life. Adherence to physical activity is low in older adults, therefore new possibilities to motivate to exercise must be explored. One of this new possibilities is to use exergaming. In this paper, we present an assistive tool for monitoring daily, physical activities in older adults with access to exergaming in their home environments. The proposed system employs the Kinect device and allows one to analyse the body movements. From a pilot study, we proved that the system can detect movements through exergaming. In the future we plan to implement the developed monitoring tool as well as exergaming in nursing homes.",
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"title": "2022 International Conference on Wearables, Sports and Lifestyle Management (WSLM)",
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"title": "Correlation analysis of gait variability and center of pressure during stance in healthy older adults",
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"abstract": "Objectives: Gait variability has the potential to be an indicator of fall risk in healthy older adults, however, little is known about its association with the indicator of standing balance. Analyzing the correlation of gait variability and center of pressure during stance will help to explore the control mechanisms of dynamic and static balance, and clarify whether the standing balance ability that is easily measured can be extrapolated to walking dynamic balance ability. Methods: Forty-two healthy older adults (67.2±3.4 years) were recruited. Zebris FDM(Germany) electronic walkway gait analysis system collects 7 gait parameters of 5–7 consecutive steps: stride variability, step variability, step width variability, stride time variability, support phase variability, swing phase variability and double support phase variability, meanwhile, collects center of pressure (COP) ellipse area of natural standing with eyes open. The correlation and partial correlation analysis are conducted between gait variability and standing COP ellipse area. Results: Among the 7 gait variabilities, the stride and step variabilities are associated with the COP ellipse area, correlation coefficients were 0.45 (P<0.01) and 0.46 (P<0.01), respectively. The other 5 variability are uncorrelated with COP ellipse area. Conclusion: There is a moderate correlation between longitudinal step, stride variability and standing COP ellipse area. The lateral step width variability and all of temporal gait variability don't correlate to the COP ellipse area. It shows that the static standing stability could reflect the longitudinal stability of walking, to a certain extent, but couldn't be extrapolated to the walking dynamic stability that associated with step width variability and temporal gait variability. It is suggested that gait variability should be a necessary complement to the assessment of falls risk in healthy older adults.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Objectives: Gait variability has the potential to be an indicator of fall risk in healthy older adults, however, little is known about its association with the indicator of standing balance. Analyzing the correlation of gait variability and center of pressure during stance will help to explore the control mechanisms of dynamic and static balance, and clarify whether the standing balance ability that is easily measured can be extrapolated to walking dynamic balance ability. Methods: Forty-two healthy older adults (67.2±3.4 years) were recruited. Zebris FDM(Germany) electronic walkway gait analysis system collects 7 gait parameters of 5–7 consecutive steps: stride variability, step variability, step width variability, stride time variability, support phase variability, swing phase variability and double support phase variability, meanwhile, collects center of pressure (COP) ellipse area of natural standing with eyes open. The correlation and partial correlation analysis are conducted between gait variability and standing COP ellipse area. Results: Among the 7 gait variabilities, the stride and step variabilities are associated with the COP ellipse area, correlation coefficients were 0.45 (P<0.01) and 0.46 (P<0.01), respectively. The other 5 variability are uncorrelated with COP ellipse area. Conclusion: There is a moderate correlation between longitudinal step, stride variability and standing COP ellipse area. The lateral step width variability and all of temporal gait variability don't correlate to the COP ellipse area. It shows that the static standing stability could reflect the longitudinal stability of walking, to a certain extent, but couldn't be extrapolated to the walking dynamic stability that associated with step width variability and temporal gait variability. It is suggested that gait variability should be a necessary complement to the assessment of falls risk in healthy older adults.",
"__typename": "ArticleAbstractType"
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"normalizedAbstract": "Objectives: Gait variability has the potential to be an indicator of fall risk in healthy older adults, however, little is known about its association with the indicator of standing balance. Analyzing the correlation of gait variability and center of pressure during stance will help to explore the control mechanisms of dynamic and static balance, and clarify whether the standing balance ability that is easily measured can be extrapolated to walking dynamic balance ability. Methods: Forty-two healthy older adults (67.2±3.4 years) were recruited. Zebris FDM(Germany) electronic walkway gait analysis system collects 7 gait parameters of 5–7 consecutive steps: stride variability, step variability, step width variability, stride time variability, support phase variability, swing phase variability and double support phase variability, meanwhile, collects center of pressure (COP) ellipse area of natural standing with eyes open. The correlation and partial correlation analysis are conducted between gait variability and standing COP ellipse area. Results: Among the 7 gait variabilities, the stride and step variabilities are associated with the COP ellipse area, correlation coefficients were 0.45 (P<0.01) and 0.46 (P<0.01), respectively. The other 5 variability are uncorrelated with COP ellipse area. Conclusion: There is a moderate correlation between longitudinal step, stride variability and standing COP ellipse area. The lateral step width variability and all of temporal gait variability don't correlate to the COP ellipse area. It shows that the static standing stability could reflect the longitudinal stability of walking, to a certain extent, but couldn't be extrapolated to the walking dynamic stability that associated with step width variability and temporal gait variability. It is suggested that gait variability should be a necessary complement to the assessment of falls risk in healthy older adults.",
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"authors": [
{
"affiliation": "Smart health promote laboratory, Huaihua University,Huaihua,China",
"fullName": "Kai Tan",
"givenName": "Kai",
"surname": "Tan",
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{
"affiliation": "Smart health promote laboratory, Huaihua University,Huaihua,China",
"fullName": "Xiaodong Li",
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"affiliation": "School of physical education and sport science, Fujian Normal University,Fujian,China",
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"title": "Older Adults Priority and Depressive Symptoms of Older Adults in China Based on SPSS22.0",
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"abstract": "This study aimed to investigate the association between older adults priority and depressive symptoms of Chinese older adults, and whether intergenerational support mediated such association. Secondary data were drawn from Chinese Longitudinal Aging Social Survey (CLASS) 2014 (N = 6., 687). Depressive symptoms were measured by 12-item version of the Centre for Epidemiological Studies Depression scale (CES-D). Intergenerational support was measured by emotional, instrumental, and financial support. PROCESS 3.0 for SPSS22.0 was used to conduct the mediation analyses. The results from hierarchical linear regression revealed that older adults priority was significantly associated with lower levels of depressive symptoms. Findings of mediation analyses also showed that financial support from adult children played a mediating role between older adults priority and depressive symptoms. Findings from this study enrich our theoretical and practical understanding of the roles of intergenerational support, and offer implications for social security policy, social work, and family support interventions for older adults in China.",
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"content": "This study aimed to investigate the association between older adults priority and depressive symptoms of Chinese older adults, and whether intergenerational support mediated such association. Secondary data were drawn from Chinese Longitudinal Aging Social Survey (CLASS) 2014 (N = 6., 687). Depressive symptoms were measured by 12-item version of the Centre for Epidemiological Studies Depression scale (CES-D). Intergenerational support was measured by emotional, instrumental, and financial support. PROCESS 3.0 for SPSS22.0 was used to conduct the mediation analyses. The results from hierarchical linear regression revealed that older adults priority was significantly associated with lower levels of depressive symptoms. Findings of mediation analyses also showed that financial support from adult children played a mediating role between older adults priority and depressive symptoms. Findings from this study enrich our theoretical and practical understanding of the roles of intergenerational support, and offer implications for social security policy, social work, and family support interventions for older adults in China.",
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"affiliation": "The School of Public administration, Xiangtan University of China,Xiangtan City,Hunan Province,China",
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"affiliation": "The School of Public administration, Xiangtan University of China,Xiangtan City,Hunan Province,China",
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"title": "Revisiting Crisis Maps with Geo-temporal Tag Visualization",
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"abstract": "Crowd sourced crisis mapping is a relatively new phenomenon and platform that enables the collection and visualization of real-time crisis data submitted by users through social media tools and cellular technologies. Crisis maps are generally used by both state and non-state actors for sense-making and as a reference point for action. The current crisis map visualizations only show the location from which documents such as reports or short messages have been generated. Such a limited representation fails to immediately show important content, such as themes from a document and their changes over time. As a result, sense-making becomes time-consuming and cognitively demanding. We present a new visualization approach, Geo-Temporal Tag Visualization (GTViz), which treats the tags on the crowd sourced reports as spatio-temporal textual datasets. GTViz embeds a map to represent the spatial properties of the dataset and compactly shows the changes of key terms from the data source over time. We demonstrate the value of GTViz through two case studies and a controlled user study.",
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"title": "2014 IEEE Conference on Visual Analytics Science and Technology (VAST)",
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"title": "StretchPlot: Interactive visualization of multi-dimensional trajectory data",
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"abstract": "The visualization of space-time trajectory data is challenging due to the fact that, in most cases, the data inherently exists in more than two dimensions. In many space-time visualizations, additional variables must be mapped into other visual attributes such as color or size. Given that substantive analyses of trajectory data will likely be concerned with variables beyond space and time, we propose a method that allows trajectory positions to be determined by an arbitrary number of variables in a multi-dimensional space-time dataset. Our method is based on Star Coordinates [5], a prior technique for interactively positioning multi-dimensional data. Our technique is catered specifically to multi-dimensional space-time trajectory data. The technique is demonstrated using a large multidimensional space-time dataset related to touring musicians.",
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"affiliation": "University of Illinois at Chicago",
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"normalizedAbstract": "In remote display protocols, screen image compression plays an important role to improve quality of experience (QoE) of users and reduce the bandwidth consumption. Not all image elements on the display have the same type, so it is wise to apply a screen image classification for compression decision. In this paper, we propose a novel efficient approach for screen image classification that separate the captured screen into 2 types of blocks: text and non-text block. Our method is a 2-stage process that is different from other works because of the appearance of text localization in the screen image as the first stage. This text localization is mainly based on edge feature and morphological operation in which we experiment with many kinds of edge detection methods. Then block-based classification categorizes the screen image blocks based on the positions of the detected text regions. The experimental results of high accuracy rate and low time consumption state our method is efficient in remote display protocol.",
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"affiliation": "Dept. of Comput. Eng., Kyung Hee Univ. Suwon, Suwon, South Korea",
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"affiliation": "Dept. of Comput. Eng., Kyung Hee Univ. Suwon, Suwon, South Korea",
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"affiliation": "Dept. of Comput. Eng., Kyung Hee Univ. Suwon, Suwon, South Korea",
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"abstract": "Block-based compression causes severe pseudo structures. We find that the pseudo structures of images compressed by different levels show some degree of similarity. So we propose to evaluate the quality of compressed images via the similarity between pseudo structures of two images. To obtain a “reference” image, we introduce the most distorted image (MDI), which is derived from the distorted image and suffers from the highest degree of compression. The proposed pseudo structural similarity (PSS) model calculates the similarity between pseudo structures of the distorted image and MDI. Pseudo structures of the distorted image become similar to the MDI's under the condition of severe compression. Via comparative tests, the proposed PSS model, on one hand, is shown to be comparable to state-of-the-art competitors, and on the other hand, it is not only good at assessing natural scene images but also performs the best in the hotly-researched screen content image (SCI) database. It deserves to mention that PSS is able to boost the performance of mainstream general-purpose no-reference (NR) quality measures.",
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"content": "Block-based compression causes severe pseudo structures. We find that the pseudo structures of images compressed by different levels show some degree of similarity. So we propose to evaluate the quality of compressed images via the similarity between pseudo structures of two images. To obtain a “reference” image, we introduce the most distorted image (MDI), which is derived from the distorted image and suffers from the highest degree of compression. The proposed pseudo structural similarity (PSS) model calculates the similarity between pseudo structures of the distorted image and MDI. Pseudo structures of the distorted image become similar to the MDI's under the condition of severe compression. Via comparative tests, the proposed PSS model, on one hand, is shown to be comparable to state-of-the-art competitors, and on the other hand, it is not only good at assessing natural scene images but also performs the best in the hotly-researched screen content image (SCI) database. It deserves to mention that PSS is able to boost the performance of mainstream general-purpose no-reference (NR) quality measures.",
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{
"affiliation": "Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, China",
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"normalizedAbstract": "In recent years, with the rise of various online learning plat-forms and game live broadcasting industry, screen content video is explosively increasing. There is an urgent demand to reduce the inevitable compression artifacts produced by traditional lossy compression method. However, there do not exist any research on compressed Screen Content Video (SCV) quality enhancement. Since SCV frames always con-sist of two main types of contents with different characteris-tics, i.e., text and graphic, a Content Adaptive model based on Two branches (CAT) is proposed in this paper. For en-hancing graphic, we utilize temporal information by motion compensation, while for enhancing text, we explore spatial relevance in horizontal and vertical directions to recover sharp edges. Furthermore, a content adaptive block is used to select content related features for the collaborative enhancement of both contents. We build a large SCV dataset compressed by H.266/VVC Test Model (VTM 12.1). On this dataset, experi-mental results demonstrate that the proposed method achieves the state-of-the-art performance on 10 different kinds of SCV test sequences.",
"fno": "09859602",
"keywords": [
"Computer Graphics",
"Data Compression",
"Edge Detection",
"Feature Selection",
"Image Enhancement",
"Motion Compensation",
"Text Detection",
"Video Coding",
"Content Adaptive Block",
"Online Learning",
"Lossy Compression",
"Content Adaptive Compressed Screen Content Video Quality Enhancement",
"Content Adaptive Compressed SCV Quality Enhancement",
"Content Adaptive Model Based On Two Branches",
"CAT",
"Motion Compensation",
"Text Enhancement",
"Feature Selection",
"H 266 VVC Test Model",
"Game Live Broadcasting Industry",
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"Sharp Edge Recovery",
"Graphics",
"Industries",
"Adaptation Models",
"Streaming Media",
"Motion Compensation",
"Quality Assessment",
"Multimedia Communication",
"Screen Content Video",
"Compressed Video Quality Enhancement",
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],
"authors": [
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"affiliation": "University of Electronic Science and Technology of China,Chengdu,China,611731",
"fullName": "Yu Liu",
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"surname": "Liu",
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"affiliation": "University of Electronic Science and Technology of China,Chengdu,China,611731",
"fullName": "Mao Ye",
"givenName": "Mao",
"surname": "Ye",
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{
"affiliation": "Shandong University,Jinan,China,250000",
"fullName": "Yanbo Gao",
"givenName": "Yanbo",
"surname": "Gao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Shandong University,Jinan,China,250000",
"fullName": "Shuai Li",
"givenName": "Shuai",
"surname": "Li",
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{
"affiliation": "Shandong University,Jinan,China,250000",
"fullName": "Yu Zhao",
"givenName": "Yu",
"surname": "Zhao",
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{
"affiliation": "The University of Queensland,Brisbane,Australia",
"fullName": "Xue Li",
"givenName": "Xue",
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"abstract": "Screen content video gradually penetrates into all aspects of people's daily life due to the popularity of the emerging applications such as real-time video conferencing and online gaming with the rapid development of Internet. Thus, it is worth paying close attention to the compression and transmission of screen content video. It has been confirmed that intra block copy (IBC) is an effective coding technology for screen content coding (SCC). In this paper, we implement IBC with several key features on HPM3.2, which is the reference software platform of AVS3. Different simulation tests and performance analysis are also demonstrated. The experimental results show that IBC can greatly improve the coding performance with acceptable time complexity for SCC sequences in AVS3.",
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{
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"content": "Screen content video gradually penetrates into all aspects of people's daily life due to the popularity of the emerging applications such as real-time video conferencing and online gaming with the rapid development of Internet. Thus, it is worth paying close attention to the compression and transmission of screen content video. It has been confirmed that intra block copy (IBC) is an effective coding technology for screen content coding (SCC). In this paper, we implement IBC with several key features on HPM3.2, which is the reference software platform of AVS3. Different simulation tests and performance analysis are also demonstrated. The experimental results show that IBC can greatly improve the coding performance with acceptable time complexity for SCC sequences in AVS3.",
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"normalizedAbstract": "Screen content video gradually penetrates into all aspects of people's daily life due to the popularity of the emerging applications such as real-time video conferencing and online gaming with the rapid development of Internet. Thus, it is worth paying close attention to the compression and transmission of screen content video. It has been confirmed that intra block copy (IBC) is an effective coding technology for screen content coding (SCC). In this paper, we implement IBC with several key features on HPM3.2, which is the reference software platform of AVS3. Different simulation tests and performance analysis are also demonstrated. The experimental results show that IBC can greatly improve the coding performance with acceptable time complexity for SCC sequences in AVS3.",
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"Image Sequences",
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"Standards",
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"Time Complexity",
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"affiliation": "Wuhan University, China; Tencent Media Lab, USA",
"fullName": "Ye Hu",
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"affiliation": "Wuhan University, China",
"fullName": "Yiming Li",
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"affiliation": "Wuhan University, China",
"fullName": "Zhenzhong Chen",
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"fullName": "Xiaozhong Xu",
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"affiliation": "Tencent Media Lab, USA",
"fullName": "Shan Liu",
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"title": "The Assessment of Parametric Rolling for Motor Vessel \"YU KUN\"",
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"abstract": "This paper has shown a numerical simulation method which can be employed to assess the parametric rolling of MV(motor vessel) \"YU KUN\". The assessment tool includes the susceptibility criteria for parametric rolling proposed by ABS(American Bureau of Shipping) and the mathematic model recommended by ITTC(International Towing Tank Conference) which can judge the occurrence and forecast the amplitude of parametric rolling, respectively. The strip theory is adopted to figure out the GM-variation and roll decay test is conducted to obtain the roll damping in this paper. Then the mathematic model is simulated in the Matlab environment to solve the rolling motion differential equations. The simulate result shows that the parametric rolling will occur on MV \"YU KUN\" in her navigation conditions, moreover, the roll amplitude will more than 25 degrees.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper has shown a numerical simulation method which can be employed to assess the parametric rolling of MV(motor vessel) \"YU KUN\". The assessment tool includes the susceptibility criteria for parametric rolling proposed by ABS(American Bureau of Shipping) and the mathematic model recommended by ITTC(International Towing Tank Conference) which can judge the occurrence and forecast the amplitude of parametric rolling, respectively. The strip theory is adopted to figure out the GM-variation and roll decay test is conducted to obtain the roll damping in this paper. Then the mathematic model is simulated in the Matlab environment to solve the rolling motion differential equations. The simulate result shows that the parametric rolling will occur on MV \"YU KUN\" in her navigation conditions, moreover, the roll amplitude will more than 25 degrees.",
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"normalizedAbstract": "This paper has shown a numerical simulation method which can be employed to assess the parametric rolling of MV(motor vessel) \"YU KUN\". The assessment tool includes the susceptibility criteria for parametric rolling proposed by ABS(American Bureau of Shipping) and the mathematic model recommended by ITTC(International Towing Tank Conference) which can judge the occurrence and forecast the amplitude of parametric rolling, respectively. The strip theory is adopted to figure out the GM-variation and roll decay test is conducted to obtain the roll damping in this paper. Then the mathematic model is simulated in the Matlab environment to solve the rolling motion differential equations. The simulate result shows that the parametric rolling will occur on MV \"YU KUN\" in her navigation conditions, moreover, the roll amplitude will more than 25 degrees.",
"fno": "07832248",
"keywords": [
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"Damping",
"Differential Equations",
"Numerical Analysis",
"Parametric Rolling Assessment",
"YU KUN Motor Vessel",
"Numerical Simulation Method",
"YU KUN MV",
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"ABS",
"American Bureau Of Shipping",
"Mathematic Model",
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"International Towing Tank Conference",
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"fullName": "Su Zuojing",
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"fullName": "Zhang Yuxi",
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"title": "Proceedings 1992 IEEE International Conference on Robotics and Automation",
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"title": "The role of damping and low pass filtering in the stability of discrete time implemented robot force control",
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"abstract": "The authors report on the stability characteristics of force-controlled manipulators with a discrete-time implementation. For a rigid arm, three conclusions are derived. Firstly, the system has linear damping, the amount of damping plays a key role in stability. Typically, a rise in contact stiffness can make damping insufficient, causing instability even in the case of a low feedback gain and sampling frequency well above the Nyquist frequency. Secondly, the role of Coulomb friction and stiction in closed-loop stability is clarified. For the case in which Coulomb friction is the dominant source of damping, a sufficient condition for maintaining stability is given. Thirdly, low-pass filtering can eliminate the instability caused by an insufficient sampling frequency, provided there is linear or nonlinear damping in the system. Experiments on a single-degree-of-freedom arm confirmed the conclusions.<>",
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"content": "The authors report on the stability characteristics of force-controlled manipulators with a discrete-time implementation. For a rigid arm, three conclusions are derived. Firstly, the system has linear damping, the amount of damping plays a key role in stability. Typically, a rise in contact stiffness can make damping insufficient, causing instability even in the case of a low feedback gain and sampling frequency well above the Nyquist frequency. Secondly, the role of Coulomb friction and stiction in closed-loop stability is clarified. For the case in which Coulomb friction is the dominant source of damping, a sufficient condition for maintaining stability is given. Thirdly, low-pass filtering can eliminate the instability caused by an insufficient sampling frequency, provided there is linear or nonlinear damping in the system. Experiments on a single-degree-of-freedom arm confirmed the conclusions.<>",
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"doi": "10.1109/ICICTA.2011.12",
"title": "A Method for Identification of Short Hanger Tension Considering Damper",
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"abstract": "The hanger is a critical part of arch bridges which decides the security of the bridge. The tension of hanger is the major parameter to evaluate the structural behavior during the health monitoring. Besides, the damper which used for reducing the vibration significantly affects the tension of hanger. The flexural rigidity and damping stiffness should be considered in order to get accurate tension. The four unknown parameters are calculated by utilizing the additional mass method. The Genetic Algorithm is applied to solve the difficult inverse calculation of multi-parameters. It is proved that the additional mass method is feasible to identify the hanger tension accurately through the numerical simulation.",
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{
"abstractType": "Regular",
"content": "The hanger is a critical part of arch bridges which decides the security of the bridge. The tension of hanger is the major parameter to evaluate the structural behavior during the health monitoring. Besides, the damper which used for reducing the vibration significantly affects the tension of hanger. The flexural rigidity and damping stiffness should be considered in order to get accurate tension. The four unknown parameters are calculated by utilizing the additional mass method. The Genetic Algorithm is applied to solve the difficult inverse calculation of multi-parameters. It is proved that the additional mass method is feasible to identify the hanger tension accurately through the numerical simulation.",
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"Bridges Structures",
"Condition Monitoring",
"Damping",
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"Vibration Control",
"Short Hanger Tension",
"Dampers",
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"Bridge Security",
"Structural Health Monitoring",
"Vibration",
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"Damping Stiffness",
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"affiliation": null,
"fullName": "Xie Xu",
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"fullName": "Yuan Pei",
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"fullName": "Shen Yonggang",
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"title": "Proceedings of the 39th IEEE Conference on Decision and Control",
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"doi": "10.1109/CDC.2000.914174",
"title": "Global output tracking control of a class of Euler-Lagrange systems",
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"abstract": "We address the problem of output feedback tracking control of a class of Euler-Lagrange systems subject to nonlinear dissipative loads. By imposing a monotone damping condition on the nonlinearities of the unmeasured states, the common restriction that the nonlinearities be globally Lipschitz is removed. The proposed observer-controller scheme renders the origin of the error dynamics uniformly globally asymptotically stable.",
"abstracts": [
{
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"content": "We address the problem of output feedback tracking control of a class of Euler-Lagrange systems subject to nonlinear dissipative loads. By imposing a monotone damping condition on the nonlinearities of the unmeasured states, the common restriction that the nonlinearities be globally Lipschitz is removed. The proposed observer-controller scheme renders the origin of the error dynamics uniformly globally asymptotically stable.",
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"normalizedAbstract": "We address the problem of output feedback tracking control of a class of Euler-Lagrange systems subject to nonlinear dissipative loads. By imposing a monotone damping condition on the nonlinearities of the unmeasured states, the common restriction that the nonlinearities be globally Lipschitz is removed. The proposed observer-controller scheme renders the origin of the error dynamics uniformly globally asymptotically stable.",
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"abstract": "Under the influence of internal structure and external factors, the radial dynamic bearing is prone to instability during high speed operation, which leads to low processing precision or waste products. The paper studies the feasibility of the internal pressurization mode to change the stability of dynamic pressure bearing. The pressure control equation of active control dynamic pressure bearing is established, the dynamic characteristics of hydrodynamic bearing under different eccentricity are calculated, and the results show that the active pressure bearing can not only reduce the cross stiffness but also not damage the direct damping, At the same time can effectively improve the stability of dynamic pressure bearing.",
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"content": "Theoretical modeling research was carried out on the integrated structure of air spring shock absorbers, the elasticity and stiffness characteristics of the gas spring were deduced, in order to improve the accuracy of the simulation calculation, the damping characteristics of the damping valve were divided into three stages according to the valve opening state, and the analytic expressions of the damping coefficients of the compression and recovery strokes of each section were derived respectively. By programmatically simulating the characteristic curve of the air spring, the effects of excitation frequency, amplitude and initial inflation pressure on the characteristics of the spring were compared and analyzed, the results could be used to guide the design of the air spring.",
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"abstract": "Performing large scale hypothesis testing on brain imaging data to identify group-wise differences (e.g., between healthy and diseased subjects) typically leads to a large number of tests (one per voxel). Multiple testing adjustment (or correction) is necessary to control false positives, which may lead to lower detection power in detecting true positives. Motivated by the use of socalled \"independent filtering\" techniques in statistics (for genomics applications), this paper investigates the use of independent filtering for manifold-valued data (e.g., Diffusion Tensor Imaging, Cauchy Deformation Tensors) which are broadly used in neuroimaging studies. Inspired by the concept of variance of a Riemannian Gaussian distribution, a type of non-specific data-dependent Riemannian variance filter is proposed. In practice, the filter will select a subset of the full set of voxels for performing the statistical test, leading to a more appropriate multiple testing correction. Our experiments on synthetic/simulated manifoldvalued data show that the detection power is improved when the statistical tests are performed on the voxel locations that \"pass\" the filter. Given the broadening scope of applications where manifold-valued data are utilized, the scheme can serve as a general feature selection scheme.",
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{
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"content": "Performing large scale hypothesis testing on brain imaging data to identify group-wise differences (e.g., between healthy and diseased subjects) typically leads to a large number of tests (one per voxel). Multiple testing adjustment (or correction) is necessary to control false positives, which may lead to lower detection power in detecting true positives. Motivated by the use of socalled \"independent filtering\" techniques in statistics (for genomics applications), this paper investigates the use of independent filtering for manifold-valued data (e.g., Diffusion Tensor Imaging, Cauchy Deformation Tensors) which are broadly used in neuroimaging studies. Inspired by the concept of variance of a Riemannian Gaussian distribution, a type of non-specific data-dependent Riemannian variance filter is proposed. In practice, the filter will select a subset of the full set of voxels for performing the statistical test, leading to a more appropriate multiple testing correction. Our experiments on synthetic/simulated manifoldvalued data show that the detection power is improved when the statistical tests are performed on the voxel locations that \"pass\" the filter. Given the broadening scope of applications where manifold-valued data are utilized, the scheme can serve as a general feature selection scheme.",
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"affiliation": "Guangzhou Univ., Guangzhou, China",
"fullName": "Ligang Zheng",
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"affiliation": "Univ. of Wisconsin-Madison, Madison, WI, USA",
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"affiliation": "Univ. of Wisconsin-Madison, Madison, WI, USA",
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"affiliation": "Univ. of Wisconsin-Madison, Madison, WI, USA",
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"abstract": "Processing the full activity stream of a social network in real time is oftentimes prohibitive in terms of both storage and computational cost. One way to work around this problem is to take a sample of the social activity and use this sample to feed into applications such as content recommendation, opinion mining, or sentiment analysis. In this paper, we study the problem of extracting samples of authoritative content from a social activity stream. Specifically, we propose an adaptive stream sampling approach, termed Rhea, that processes a stream of social activity in real-time and samples the content of users that are more likely to provide influential information. To the best of our knowledge, Rhea is the first algorithm that dynamically adapts over time to account for evolving trends in the activity stream. Thus, we are able to capture high quality content from emerging users that contemporary white-list based methods ignore. We evaluate Rhea using two popular social networks reaching up to half a billion posts. Our results show that we significantly outperform previously proposed methods in terms of both recall and precision, while also offering remarkably more accurate ranking.",
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"abstract": "As one of the most popular services over online platforms, social recommendation has attracted increasing research efforts recently. Among all the recommendation tasks, an important one is item recommendation over high speed social media streams. Existing stream recommendation techniques are not effective for handling social users with diverse interests. Meanwhile, approaches for recommending items to a particular user are not efficient when applied to a huge number of users over high speed streams. In this paper, we propose a novel framework for the social recommendation over streams. Specifically, we first propose a novel Bi-Layer Hidden Markov Model (BiHMM) that adaptively captures the users' behaviors and their interactions with influential official accounts to predict their long-term and short-term interests. Then, we design a new probabilistic entity matching scheme for identifying the relevance score of a streaming item to a user. Moreover, we propose a novel index scheme called CPPse-index for improving the efficiency of our solution. Extensive tests are conducted to prove the superiority of our approach in terms of the recommendation quality and time cost.",
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"abstract": "Infinite dimensional covariance descriptors can provide richer and more discriminative information than their low dimensional counterparts. In this paper, we propose a novel image descriptor, namely, robust approximate infinite dimensional Gaussian (RAID-G). The challenges of RAID-G mainly lie on two aspects: (1) description of infinite dimensional Gaussian is difficult due to its non-linear Riemannian geometric structure and the infinite dimensional setting, hence effective approximation is necessary, (2) traditional maximum likelihood estimation (MLE) is not robust to high (even infinite) dimensional covariance matrix in Gaussian setting. To address these challenges, explicit feature mapping (EFM) is first introduced for effective approximation of infinite dimensional Gaussian induced by additive kernel function, and then a new regularized MLE method based on von Neumann divergence is proposed for robust estimation of covariance matrix. The EFM and proposed regularized MLE allow a closed-form of RAID-G, which is very efficient and effective for high dimensional features. We extend RAID-G by using the outputs of deep convolutional neural networks as original features, and apply it to material recognition. Our approach is evaluated on five material benchmarks and one fine-grained benchmark. It achieves 84.9% accuracy on FMD and 86.3% accuracy on UIUC material database, which are much higher than state-of-the-arts.",
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"normalizedAbstract": "Overview of FieldThis minitrack focuses on the impact on the healthcare domain of two rapidly emerging, advanced imaging technologies - virtual reality and tele-immersion. Virtual reality is an artificial environment created with computer hardware and software and presented to the user in such a way that it appears and feels like a real environment. Collaborative virtual reality is the use of two or more virtual reality environments and high-performance networking to support synchronous collaboration focused on the same virtual reality models. Tele-immersion is defined on the integration of audio and video conferencing with a collaborative virtual reality environment.Biomedicine is a domain in which the evaluation and synthesis of visual information is a necessary condition for successful problem solving and learning. Learning that involves the understanding of three-dimensional relationships is very complicated. For example, the natural ability to visualize three-dimensional space is rare, even among surgeons. Virtual reality and tele-immersion are technologies that are now being applied, with some success, to different problems sets in healthcare. Applications involving virtual reality and tele-immersion include clinical care, distance-independent collaboration, and education and training. This Year's ContentThis is the first time this minitrack has been part of the HICSS. The papers accepted are representative of the current range of virtual reality and tele-immersion efforts in healthcare. The preponderance of applications aimed at the delivery of training is also representative of the field. Two papers illustrate the potential use of virtual reality and tele-immersion approaches to train residents in anesthesia and health care teams in emergency medicine. Another potential use of virtual reality and tele-immersion technologies is to demonstrate the impact of vision disorders on patients in the hope that this experience will make them healthcare professionals and family members more informed about and sensitive to the challenges facing the patient.Two of the papers deal more directly with healthcare delivery. One evaluates the utility of virtual reality and tele-immersion plus robotics in allowing surgeons to monitor and mentor others at geographically-dispersed sites. The other demonstrates the use of virtual reality and tele-immersion as a rehabilitation modality for persons with disabilities.While the field is still immature, these papers demonstrate the enormous potential for the use of virtual reality and tele-immersion technologies to improve the quality of healthcare while increasing access and decreasing costs.",
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"abstract": "With the advance of various location-acquisition technologies, a myriad of GPS trajectories can be collected every day. However, the raw coordinate data captured by sensors often cannot reflect real positions due to many physical constraints and some rules of law. How to accurately match GPS trajectories to roads on a digital map is an important issue. Many existing methods still cannot meet stringent performance requirements, especially for low/unstable sampling rate and noisy/lost data. As in practice, some other measurements such as speed and moving direction are collected together with the spatial locations acquired, we can make use of not only location coordinates but all data collected. In this paper, we propose a novel model using the related meta-information to describe a moving object, and present an algorithm called IF-Matching for map-matching. It can handle many ambiguous cases which cannot be correctly matched by existing methods. We run our algorithm with taxi trajectory data on a city-wide road network. Compared with two state-of-the-art algorithms of ST-Matching and the winner of GIS Cup 2012, our approach achieves more accurate results.",
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"abstract": "Generative adversarial networks (GANs) can be used to learn a generation function from a joint probability distribution as an input, and then visual samples with semantic properties can be generated from a marginal probability distribution. In this paper, we propose a novel algorithm named Max-Boost-GAN, which is demonstrated to boost the generative ability of GANs when the error of generation is upper bounded. Moreover, the Max-Boost-GAN can be used to learn the generation functions from two marginal probability distributions as the input, and samples of higher visual quality and variety could be generated from the joint probability distribution. Finally, novel objective functions are proposed for obtaining convergence during training the Max-Boost-GAN. Experiments on the generation of binary digits and RGB human faces show that the Max-Boost-GAN achieves boosted ability of generation as expected.",
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