| { |
| "term": "ActionRecognition", |
| "role": "concept", |
| "parent_concepts": [ |
| "MultimodalReasoning" |
| ], |
| "layer": 4, |
| "domain": "ComputerScience", |
| "definition": "Identifying human actions and activities in video by analyzing motion and temporal patterns", |
| "definition_source": "SUMO", |
| "aliases": [ |
| "ActivityRecognition", |
| "ActionDetection", |
| "HumanActivityRecognition" |
| ], |
| "wordnet": { |
| "synsets": [], |
| "canonical_synset": "", |
| "lemmas": [], |
| "pos": "noun" |
| }, |
| "relationships": { |
| "related": [ |
| "VideoUnderstanding", |
| "PoseEstimation", |
| "MotionAnalysis" |
| ], |
| "antonyms": [], |
| "has_part": [], |
| "part_of": [] |
| }, |
| "safety_tags": { |
| "risk_level": "low", |
| "impacts": [], |
| "treaty_relevant": false, |
| "harness_relevant": false |
| }, |
| "training_hints": { |
| "positive_examples": [ |
| "Action recognition classified the video as 'playing basketball' with 95% confidence.", |
| "The model recognizes fine-grained actions like 'pouring' vs 'stirring' in cooking videos.", |
| "Temporal action detection locates when each action starts and ends in untrimmed video.", |
| "Two-stream networks combine appearance and optical flow for action recognition." |
| ], |
| "negative_examples": [ |
| "The person is doing something.", |
| "There is activity in the video.", |
| "Someone is moving." |
| ], |
| "disambiguation": "Computational classification of actions from video, not general observation" |
| }, |
| "is_category_lens": true, |
| "child_count": 0, |
| "meld_source": { |
| "meld_id": "org.hatcat/multimodal-fusion@0.1.0", |
| "applied_at": "2025-12-10T20:54:17.621328Z", |
| "pack_version": "5.7.3" |
| } |
| } |
