2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
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Abstract

35 intra-prediction modes in High Efficiency VideoCoding (HEVC) make the prediction image more accurate andsignificantly improve the coding image quality, but numerousintra-prediction modes results in a remarkable rise incomputational complexity compared with H.264.In order toreduce computational complexity, a low-complexity HEVC intracomputation method that utilizes image textural featureinformation was proposed in this paper. Because of thesimilarities of neighboring pixels in an image, Sobel operator isused to predict the texture direction of the image, which reducesthe 35 prediction modes of prediction unit (PU) to no more than4 modes. Compared with the standard HM16.0 algorithm,experimental results show that the proposed algorithm decreasesthe encoding time by approximately 30.6% with minor loss ofcoding efficiency.
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