Reference frame selection for loss-resilient depth map coding in multiview video conferencing.
Bruno MacchiavelloCamilo C. DoreaEdson M. HungGene CheungWai-Tian TanPublished in: Visual Information Processing and Communication (2012)
Keyphrases
- machine learning
- reference frame
- depth map
- video conferencing
- multi view
- multiview video
- motion estimation
- video compression
- inter view
- inter frame
- depth information
- view synthesis
- coding efficiency
- image sequences
- stereo matching
- three dimensional
- motion vectors
- macroblock
- super resolution
- distance learning
- video coding
- depth estimation
- high quality
- motion compensation
- high resolution
- depth image based rendering
- video sequences
- multiple views
- motion compensated
- low resolution
- coding scheme
- input data
- free viewpoint
- d objects
- stereo images
- disparity estimation
- distributed video coding
- search range
- computer vision
- coding method
- audio visual
- motion field
- intra prediction
- stereo vision
- input image
- semi supervised
- optical flow
- face recognition