all AI news
A DTCWT-SVD Based Video Watermarking resistant to frame rate conversion. (arXiv:2206.01094v1 [cs.MM])
June 3, 2022, 1:12 a.m. | Yifei Wang, Qichao Ying, Zhenxing Qian, Sheng Li, Xinpeng Zhang
cs.CV updates on arXiv.org arxiv.org
Videos can be easily tampered, copied and redistributed by attackers for
illegal and monetary usage. Such behaviors severely jeopardize the interest of
content owners. Despite huge efforts made in digital video watermarking for
copyright protection, typical distortions in video transmission including
signal attacks, geometric attacks and temporal synchronization attacks can
still easily erase the embedded signal. Among them, temporal synchronization
attacks which include frame dropping, frame insertion and frame rate conversion
is one of the most prevalent attacks. To address …
More from arxiv.org / cs.CV updates on arXiv.org
Retrieval-Augmented Egocentric Video Captioning
1 day, 12 hours ago |
arxiv.org
Mirror-Aware Neural Humans
1 day, 12 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US