Authors:
Ehsan Rahimi
and
Chris Joslin
Affiliation:
Carleton University, Canada
Keyword(s):
Multimedia Communication, 3D Video, Colorful 2D Image, Gray Scale Depth Map Image, Multiple Description Coding, Error Prone Environment, Packet Failure, Spatial Decimation, Compression Efficiency.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image and Video Coding and Compression
;
Image Formation and Preprocessing
;
Motion, Tracking and Stereo Vision
;
Stereo Vision and Structure from Motion
;
Visual Attention and Image Saliency
Abstract:
3D video is becoming a most favorable video and attracting researcher’s mind to provide robust methods of
streaming since packet failure has always been the inseparable characteristic of wired or wireless networks.
This paper aims to provide a new multiple description coding for 3D video considering objects existed in the
scene. To this end, a low complex algorithm for realizing objects in 3D scene will provided and then a non-identical
decimation method with respect to objects will be utilized to produce descriptions of MDC approach.
Also, in point of depth map image, a new non-identical MDC algorithm will be be introduced to stream depth
map image saving bandwidth without affecting the quality of decoded video in the receiver side.