Personalized Video Recommendation Using Rich Contents from Videos.
Xingzhong DuHongzhi YinLing ChenYang WangYi YangXiaofang ZhouPublished in: IEEE Trans. Knowl. Data Eng. (2020)
Keyphrases
- online video
- video frames
- video content
- video data
- video sequences
- video database
- video analysis
- personalized recommendation
- video clips
- youtube videos
- tv programs
- key frames
- input video
- multimedia
- recommender systems
- video images
- video segments
- video event
- video streams
- video indexing
- spatiotemporal features
- content based copy detection
- video surveillance
- video editing
- video browsing
- temporal coherence
- user modeling
- video representation
- video dataset
- video sharing
- motion features
- event recognition
- human actions
- video shots
- rich media
- video retrieval
- personalized information
- natural language descriptions
- high definition
- video search
- user profiles
- collaborative filtering
- semantic concept detection
- product recommendation
- human activities
- lecture videos
- action recognition
- space time
- sports video
- dynamic scenes
- news recommendation
- e learning
- event detection
- audio features
- video scene
- video signals
- recommendation systems
- instructional videos
- individual user
- foreground background segmentation
- video copy detection
- web content
- visual analysis
- user generated
- surveillance videos
- dynamic textures
- user interests