Title :
Depth-based prediction mode for 3D video coding
Author :
Can Bal ; Nguyen, Truong Q.
Author_Institution :
Electr. & Comput. Eng., Univ. of California, San Diego, La Jolla, CA, USA
Abstract :
With emerging multiview displays there is an interest in a new 3D video (3DV) representation and compression standard, which contains depth information, so that virtual views can be synthesized at the decoder from a sparse set of anchor views. With such a representation the depth map can also be utilized to increase video coding efficiency. In this work, we propose a novel depth-based prediction mode that increases inter-view prediction efficiency. The proposed mode is designed such that the syntax is simple and efficient to signal, and it is compatible with existing H.264/MVC modes. This design allows the encoder to choose between the proposed and existing prediction modes by a simple rate-distortion optimization decision. We show that depending on the depth map quality, the proposed mode can provide up to 5.5% additional bitrate savings over coding the texture video and the depth map separately. We also show that when the depth map is accurate, the proposed codec can achieve gains even over coding the texture video only, using H.264/MVC.
Keywords :
image representation; image texture; optimisation; video coding; 3D video coding; 3D video representation; 3DV representation; H.264/MVC mode; compression standard; depth map quality; depth-based prediction mode; inter-view prediction efficiency; multiview display; rate-distortion optimization decision; texture video; virtual view; 3D video (3DV); H.264/MVC; depth-based prediction; multiview video; video+depth;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738451