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Conference Papers Year : 2018

Performance and Computational Complexity of the Future Video Coding


The drastic increasing of multimedia applications, such as IPTV, Virtual Reality (VR, 360°) and Light Field videos has led to a high computing complexity in video compression and content quality assessment. In the last five years, HEVC standard has been widely used in the industrial community due to its bit-rate gain compared to its predecessor H.264/AVC. Recently, a new coding tools have been developed under the Joint Exploration Model (JEM) software, with the main goal to provide high bit rate saving compared to the HEVC standard. In this paper we investigate the performance and the associated computational complexity of these emerging video coding tools, from both encoding and decoding sides. Two spatial resolutions (HD 4K) and several video contents have been used in this study. Results have shown that despite the bit-rate saving, a considerable computational complexity can be noticed. A bit-rate saving up to 37% and quality enhancements up to 30% can be achieved by JEM. However, these emerging tools are time consuming between x5 and x12 times compared to the HM reference software, depending on video sequence and encoding/decoding processes. © 2018 IEEE.
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hal-02050819 , version 1 (27-02-2019)



N. Sidaty, P.-L. Cabarat, W. Hamidouche, Daniel Menard, O. Deforges. Performance and Computational Complexity of the Future Video Coding. 2018 IEEE Workshop on Signal Processing Systems, SiPS 2018, Oct 2018, Cape Town, South Africa. pp.31-36, ⟨10.1109/SiPS.2018.8598306⟩. ⟨hal-02050819⟩
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