Title
Performance evaluation of adaptive residual interpolation, a tool for inter-layer prediction in H.264/AVC scalable video coding
Abstract
Inter-layer prediction is the most important technique for improving coding performance in spatial enhancement layers in Scalable Video Coding (SVC). In this paper we discuss Adaptive Residual Interpolation (ARI), a new approach to inter-layer prediction of residual data. This prediction method yields a higher coding performance. We integrated the ARI tool in the Joint Scalable Video Model software. Special attention was paid to the CABAC context model initialization. Further, the use, complexity, and coding performance of this technology is discussed. Three filters were tested for the interpolation of lower-layer residuals: a bi-linear filter, the H.264/AVC 6-tap filter, and a median filter. Tests have shown that ARI prediction results in an average bit rate reduction of 0.40% for the tested configurations without a loss in visual quality. In a particular test case, a maximum bit rate reduction of 10.10% was observed for the same objective quality.
Year
DOI
Venue
2007
10.1007/978-3-540-73040-8_75
Lecture Notes in Computer Science
Keywords
Field
DocType
bi-linear filter,inter-layer prediction,avc 6-tap filter,prediction method yield,avc scalable video coding,ari tool,adaptive residual interpolation,median filter,higher coding performance,performance evaluation,joint scalable video model,ari prediction result,coding performance,context model,linear filtering,scalable video coding
Median filter,Context-adaptive variable-length coding,Computer science,Interpolation,Real-time computing,Artificial intelligence,Context-adaptive binary arithmetic coding,Scalable Video Coding,Residual,Pattern recognition,Coding tree unit,Bit Rate Reduction,Algorithm
Conference
Volume
ISSN
Citations 
4522
0302-9743
2
PageRank 
References 
Authors
0.50
5
5
Name
Order
Citations
PageRank
Koen De Wolf1799.63
Davy De Schrijver212417.67
Jan De Cock338849.57
Wesley De Neve452554.41
Rik Van de Walle52040238.28