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http://dx.doi.org/10.5909/JBE.2020.25.3.305

Fast Decision Method of Adaptive Motion Vector Resolution  

Park, Sang-hyo (School of Computer Science and Engineering, Kyungpook National University)
Publication Information
Journal of Broadcast Engineering / v.25, no.3, 2020 , pp. 305-312 More about this Journal
Abstract
As a demand for a new video coding standard having higher coding efficiency than the existing standards is growing, recently, MPEG and VCEG has been developing and standardizing the next-generation video coding project, named Versatile Video Coding (VVC). Many inter prediction techniques have been introduced to increase the coding efficiency, and among them, an adaptive motion vector resolution (AMVR) technique has contributed on increasing the efficiency of VVC. However, the best motion vector can only be determined by computing many rate-distortion costs, thereby increasing encoding complexity. It is necessary to reduce the complexity for real-time video broadcasting and streaming services, but it is yet an open research topic to reduce the complexity of AMVR. Therefore, in this paper, an efficient technique is proposed, which reduces the encoding complexity of AMVR. For that, the proposed method exploits a special VVC tree structure (i.e., multi-type tree structure) to accelerate the decision process of AMVR. Experiment results show that the proposed decision method reduces the encoding complexity of VVC test model by 10% with a negligible loss of coding efficiency.
Keywords
VVC; HEVC; inter prediction; motion vector resolution; encoder complexity;
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