An Improved Hierarchical Motion Estimation Algorithm
High Efficiency Video Coding (HEVC) is the new generation video coding standard which provides equivalent subjective quality with 50 % bit rate reduction compared with the previous video coding standard H.264/AVC. However, to improve compression efficienc
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School of Software and Microelectronics, Peking University, Beijing 102600, China [email protected] 2 Department of Electrical and Computer Engineering, International Technological University, San Jose, CA 95113, USA
Abstract. High Efficiency Video Coding (HEVC) is the new generation video coding standard which provides equivalent subjective quality with 50 % bit rate reduction compared with the previous video coding standard H.264/AVC. However, to improve compression efficiency, HEVC introduces new technology and greatly increases the encoding complexity. Therefore, in order to solve the problem of high complexity of HEVC, this paper gives an improved hierarchical motion estimation search algorithm. The algorithm layers the images into four layers and uses different search template to do motion estimation. Experimental results show that the given improved hierarchical motion estimation search algorithm can reduce the encoding time up to 21.73 % on average compared with the TZ-Search algorithm. Therefore, the computational complexity can be reduced. Keywords: HEVC
High resolution Motion estimation Search algorithm
1 Introduction In recent years, because of the rapid development of network technology, video monitoring, digital TV, and mobile communications, video plays a more and more important role in human life. According to the forecast of Cisco white paper [1], the proportion of video traffic in the individual traffic will reach 80 %−90 % to 2018. Therefore, the technology of processing and transmission of video information in the network has become a focus of current global research, and HD ultra-high-definition video has become a mainstream. However, the original H.264/AVC video compression standard has been unable to meet the current market requirement for high resolution video compression [2]. In order to provide better video compression efficiency the ITU-T and ISO/IEC formally promulgated a new generation of video compression standard HEVC [3] at the beginning of 2013. This standard can save up to 50 % reduction in the bit-rate compared to previous standards without any video quality degradation. Although HEVC still adopts the hybrid video coding framework, it introduces a lot of new technology, such as flexible tree partition types [4], multiple directional intra-picture prediction [5], new motion merge mode, advanced motion © Springer Science+Business Media Singapore 2015 X. Zhang et al. (Eds.): ESTC 2015, CCIS 572, pp. 23–29, 2015. DOI: 10.1007/978-981-10-0421-6_3
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vector prediction, DST transform mode [6], sample adaptive offset filter [7], advanced parallel processing technology and so on. Not only does the introduction of new technology improve compression efficiency, but also greatly increases the complexity and computation of video compression. And the motion estimation module is an important part of video compression [8], which has a great effect on video compression efficiency and complexity. Consequently, HEVC motion estimation algorithm has great significance for the prom
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