DocumentCode
134625
Title
Implementation of error resilience technique for Multiview Video Coding
Author
Ibrahim, A.B. ; Sadka, A.H.
Author_Institution
Dept. of Electron. & Comput. Eng., Brunel Univ., Uxbridge, UK
fYear
2014
fDate
6-8 April 2014
Firstpage
25
Lastpage
28
Abstract
Multimedia content over broadband wireless technology has always been a challenge in video communication, as wireless networks are inevitably prone to error burst. In this work, we present an approach in data partition technique to achieve error resilience in Multiview Video Coding (MVC). Data partitioning (DP) is an efficient and important way to make an encoded video stream more robust to errors by way of separating more important and less important syntax elements into a different format of packets, based on decoding importance, thereby enhancing improvement of error/loss robustness. As JMVC 8.5 reference software does not support data partitioning or any other error resilience technique for either base or non-base view slices, the proposed technique implemented introduces new non base view Network Abstraction Layer (NAL) units into the multiview video (MVV) bitstream. This concept helps to differentiate the data partitions of base view slices from non-base view slices. DP algorithm was developed to sort the individual video data into different partitions, namely, A, B, and C based on importance. The overall bitrate increase was found to be 0.7% and this overhead did not affect the overall quality of the video. The JMVC 8.5 reference software decoder on the other hand was modified to handle and decode the partitioned MVV bitstream. The technique presented can decode and reconstruct all frames in the MVV bitstream with minimum bitrate and exact quality as the original sequences.
Keywords
decoding; multimedia systems; video coding; JMVC 8.5 reference software decoder; NAL; broadband wireless technology; data partition technique; decoding; error resilience technique; multiview video coding; network abstraction layer; syntax element; video communication; Decoding; Encoding; Robustness; Signal to noise ratio; Standards; Video coding; WiMAX; Data Partitioning; Error Resilience; MVC; Network Abstraction Layer unit;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on
Conference_Location
San Diego, CA
Type
conf
DOI
10.1109/SSIAI.2014.6806020
Filename
6806020
Link To Document