Unsupervised Temporal Video Grounding with Deep Semantic Clustering.
Daizong LiuXiaoye QuYinzhen WangXing DiKai ZouYu ChengZichuan XuPan ZhouPublished in: CoRR (2022)
Keyphrases
- unsupervised manner
- spatial and temporal
- unsupervised learning
- clustering algorithm
- temporal consistency
- space time
- video sequences
- temporal coherence
- multimedia
- temporal segmentation
- semantic concepts
- real time
- temporal analysis
- k means
- video data
- information bottleneck
- temporal information
- unsupervised classification
- clustering method
- unsupervised feature selection
- spatial temporal
- data clustering
- temporal constraints
- video frames
- unsupervised clustering
- video event
- supervised classification
- temporal relationships
- temporal continuity
- video analysis
- completely unsupervised
- temporal resolution
- agglomerative clustering
- spatio temporal
- temporal data
- video content
- spectral clustering
- semantic web
- video streams
- temporal structure
- natural language
- temporal correlation
- dynamic textures
- self organizing maps
- deep architectures
- temporal reasoning
- video clips
- semantic similarity
- low level features
- semantic video
- cluster validation
- temporal redundancy
- temporal order
- high level
- semantic information
- low level
- supervised learning
- natural language processing
- human activities
- sports video
- normalized cut
- semantic search
- information theoretic
- temporal patterns
- event detection