RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression.
Jung-Woo ChangMojan JavaheripiSeira HidanoFarinaz KoushanfarPublished in: NDSS (2023)
Keyphrases
- video compression
- service quality
- deep learning
- video data
- video sequences
- motion estimation
- motion compensation
- video coding
- service providers
- video frames
- unsupervised learning
- user satisfaction
- multimedia
- quality of service
- electronic commerce
- motion compensated
- machine learning
- motion vectors
- information systems
- mental models
- key frames
- weakly supervised
- temporal redundancy
- compression ratio
- inter frame
- multiresolution
- databases