SAMPLE-BASED WEIGHTED PREDICTION FOR LOSSLESS ENHANCEMENT LAYER CODING IN SHVC

被引：0

作者：

Heindel, Andreas ^{[1
]}

Wige, Eugen ^{[1
]}

Kaup, Andre ^{[1
]}

机构：

[1] Univ Erlangen Nurnberg, Multimedia Commun & Signal Proc, D-91054 Erlangen, Germany

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2014年

关键词：

Lossless coding; sample-based prediction; scalable coding; SHVC;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：3656 / 3660

页数：5

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