DocumentCode :
725351
Title :
Inspecting Coding Dependency in Layered Video Coding for Efficient Unequal Error Protection
Author :
Zakerinasab, Mohammad Reza ; Mea Wang
Author_Institution :
Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
760
Lastpage :
761
Abstract :
To improve the quality of video streaming subject to video bitrate or communication channel capacity, a high-quality video is encoded into multiple layers of unequal importance. Layers that provide higher quality rely on the previous layers for successful reconstruction of transmitted video packets. Hence, if a video packet in a reference layer is corrupted or lost during transmission, the dependent layers cannot be reconstructed successfully, and the resources consumed to transmit them are wasted. To address this problem, unequal error protection (UEP) techniques have been proposed to provide appropriate level of protection to each layer according to their importance. Nonetheless, the importance of a piece of video content is determined by not only the layering structure, but also coding dependency imposed by encoding decisions. In this paper, based on a deep inspection of coding and prediction in SVC (a layered video coding standard) and an analysis of seven real SVC videos, we conclude that macro block-level coding dependency will provide a more accurate importance measure when applying UEP to protection video packets in noisy channels.
Keywords :
block codes; channel capacity; image reconstruction; video coding; video streaming; SVC; UEP technique; communication channel capacity; high-quality video encoding; layered video coding dependency inspection; macroblock-level coding dependency; noisy channel; unequal error protection; video bitrate; video packet protection; video packet reconstruction; video streaming quality improvement; Encoding; Error correction codes; Standards; Static VAr compensators; Streaming media; Video coding; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems (ICDCS), 2015 IEEE 35th International Conference on
Conference_Location :
Columbus, OH
ISSN :
1063-6927
Type :
conf
DOI :
10.1109/ICDCS.2015.96
Filename :
7164974
Link To Document :
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