Detecting Relevant Regions for Watermark Embedding in Video Sequences Based on Deep Learning.
Margarita N. FavorskayaVladimir V. BuryachenkoPublished in: KES-IDT (2020)
Keyphrases
- deep learning
- video sequences
- watermark embedding
- unsupervised learning
- spread spectrum
- machine learning
- watermarking scheme
- input image
- weakly supervised
- image watermarking
- image sequences
- copyright protection
- motion estimation
- region of interest
- mental models
- digital watermarking
- jpeg compression
- wordnet
- video data
- facial expressions
- digital images
- moving objects
- pairwise
- object recognition
- computer vision