DocumentCode :
727595
Title :
Adaptive boundary dependent transform optimization for HEVC
Author :
Juanting Fan ; Jicheng An ; Shanshe Wang ; Nan Zhang ; Ruiqin Xiong ; Siwei Ma ; Shawmin Lei
Author_Institution :
Inst. of Digital Media, Peking Univ., Beijing, China
fYear :
2015
fDate :
May 31 2015-June 3 2015
Firstpage :
149
Lastpage :
153
Abstract :
High Efficiency Video Coding (HEVC) adopts hybrid transform coding scheme to improve the transform performance. However, it does not consider the influence of the prediction unit boundary. This paper proposes an adaptive boundary dependent transform optimization scheme for HEVC. Based on the transform unit boundary type identification by checking whether it lies at a prediction unit boundary or not, some additional transform kernels, including DCT-IV, are incorporated for transform. Moreover, the additional adopted transform kernels are generated by re-using the existing kernels in HEVC. Therefore, the butterfly structure for transform implementation can be preserved to facilitate parallel computing, and computational complexity increasing can be avoided. Experimental results show that the coding performance improvements can be up to 0.96% and 0.64% for low delay P and random access testing configurations respectively.
Keywords :
adaptive signal processing; discrete cosine transforms; optimisation; prediction theory; transform coding; video coding; DCT-IV; HEVC; adaptive boundary dependent transform optimization; butterfly structure; coding performance; computational complexity; discrete cosine transform; high efficiency video coding; hybrid transform coding scheme; parallel computing; prediction unit boundary; random access testing configurations; transform kernels; transform performance; transform unit boundary type identification; Computational complexity; Encoding; Image coding; Kernel; Transforms; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium (PCS), 2015
Conference_Location :
Cairns, QLD
Type :
conf
DOI :
10.1109/PCS.2015.7170065
Filename :
7170065
Link To Document :
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