Title :
Simplified generalized residual prediction in scalable extension of HEVC
Author :
Wenjing Zhu ; Au, Oscar C. ; Haitao Yang ; Wei Dai ; Hong Zhang ; Xingyu Zhang
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
Scalable video coding (SVC), which is an extension of H.264/AVC video coding standard, was introduced to provide scalability in different dimensions for adaptation to heterogeneous network and terminals. After the finalization of the new video coding standard called High Efficiency Video Coding (HEVC), the effort of the standardization committee has been redirected to the investigation of the scalable extension of HEVC. In addition to the basic inter-layer texture prediction mechanism, several other coding tools were proposed for coding performance improvement. Among those coding tools, the one called generalized residual prediction (GRP) scheme achieves most significant coding gain while the consumption of computational power is also huge. In this paper, the GRP mechanism is formulated and analyzed in detail. In addition, the combination of GRP mechanism with merge mode in HEVC is proposed for simplification of the existing GRP mechanism. Results show a better trade-off could be achieved by greatly reducing computational complexity while maintaining most of the coding gain.
Keywords :
computational complexity; prediction theory; standardisation; telecommunication standards; video coding; GRP scheme; H.264-AVC video coding standard; HEVC; coding tools; computational complexity; generalized residual prediction scheme; heterogeneous network; heterogeneous terminals; high efficiency video coding; inter-layer texture prediction; scalable extension; scalable video coding; standardization committee; Complexity theory; Decoding; Encoding; Standards; Static VAr compensators; Video coding; Xenon; Generalized Residual Prediction; HEVC; Merge Mode; Scalable Video Coding;
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2013
Conference_Location :
Kuching
Print_ISBN :
978-1-4799-0288-0
DOI :
10.1109/VCIP.2013.6706450