No Video Left Behind: A Utility-Preserving Obfuscation Approach for YouTube Recommendations.
Jiang ZhangHadi AskariKonstantinos PsounisZubair ShafiqPublished in: CoRR (2022)
Keyphrases
- video sharing
- video data
- video content
- video sequences
- video search
- recommender systems
- reverse engineering
- youtube videos
- user generated
- video streams
- multimedia
- social media
- video surveillance
- video dataset
- digital video
- video segmentation
- space time
- real time video
- utility function
- video processing
- real time
- multimedia data
- spatial temporal
- video analysis
- video images
- web videos
- video frames
- multi modal
- video retrieval
- online video