DocumentCode :
249061
Title :
Sample-based Weighted Prediction for lossless enhancement layer coding in SHVC
Author :
Heindel, A. ; Wige, E. ; Kaur, A.
Author_Institution :
Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3656
Lastpage :
3660
Abstract :
Many professional applications require video content to be compressed in a lossless manner. However, often it is also advantageous to have access to a lossy coded version of the same video content, for example for preview purposes. In this paper the Sample-based Weighted Prediction (SWP) algorithm is applied for two-layer lossy to lossless scalable video compression with SHVC. This means that lossy compression is used for the first layer, the so-called base layer, and lossless compression is used for the second layer, also referred to as enhancement layer. In order to increase the coding efficiency of the enhancement layer the SWP algorithm is used for sample-wise prediction. Depending on the quantization parameter for the base layer, significant bitrate savings considering both layers of up to 8.38% (up to 6.20% on average) compared to the unmodified SHVC reference software can be achieved.
Keywords :
image enhancement; video coding; SHVC; SWP algorithm; lossless enhancement layer coding; lossless scalable video compression; quantization parameter; sample based weighted prediction; video content; Artificial intelligence; Bit rate; Encoding; ISO; Image coding; Prediction algorithms; Software; Lossless coding; SHVC; sample-based prediction; scalable coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025742
Filename :
7025742
Link To Document :
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