OpenSAL360: Open-Source Crowdsourcing Platform for Omnidirectional Video Saliency Collection

Paper: OpenSAL360: Open-Source Crowdsourcing Platform for Omnidirectional Video Saliency Collection

Dataset

OpenSAL360 sample dataset is the largest omnidirectional video saliency dataset with the following key features:

• Large scale: 500 videos with mean 18.1s duration;
• Fixations from >2000 observers (>84 per video);
• Audio track saved and played to observers;
• High resolution: all streams are 3840x1920;
• Diverse content from YouTube;
• License: CC-BY;

File Structure

1. videos — 500 mp4 omnidirectional videos in ERP, 30 FPS videos with audio streams;

2. saliency — 500 mp4 almost losslessly (crf 0, 10bit, min-max normalized) compressed continuous saliency maps videos;

3. fixations — 500 json files with per-frame fixation coordinates, from which saliency maps were obtained;

4. metadata.json — meta information about each video (e.g. license, source URL, etc.);