3D VIDEO CODING

Abstract

Interest in 3DTV has increased recently with more and more products and services becoming available for the consumer market. 3D video is an emerging trend in developing digital video system. Three-dimensional multi-view video is typically obtained from a set of synchronized cameras, which are capturing the same scene from different viewpoints. The video (texture) plus depth (V+D) representation is an interesting method to realize 3D video. A depth map is simply a grayscale image which represents the distance between a pixel and camera in black and white. However, a major problem when dealing with multi-view video is the intrinsically large amount of data to be compressed decompressed and rendered. We extend the standard H.264/MPEG-4 MVC for handling the compression of multi-view video. An algorithm is implemented to compress the data in which instead of separate bit-streams each for depth and texture, only one bit-stream for texture (also containing depth data) is developed. As opposed to the Multi-view Video Coding (MVC) standard that encodes only the multi-view texture data, the proposed algorithm performs the compression of both the texture and the depth multi-view sequences. The proposed extension is based on exploiting the correlation between the multiple camera views. The goal of this thesis work is to establish an efficient method to encode depth information along with multiple but limited numbers of views Software used is JMVC (Joint Multi-view Video Coding) jmvc8.0, which is an open source software for the Multi-view Video Coding (MVC) project of the Joint Video Team (JVT) of the ISO/IEC Moving Pictures Experts Group (MPEG) and the ITU-T Video Coding Experts Group (VCEG).