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Content Provider | IEEE Xplore Digital Library |
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Author | Zhenzhong Chen Yiming Li |
Copyright Year | 2015 |
Description | Author affiliation: Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China (Zhenzhong Chen; Yiming Li) |
Abstract | H.265/High Efficiency Video Coding (HEVC), the latest video coding standard developed jointly by ITU-T and by ISO/IEC in the joint collaborative team on video coding (JCT-VC), has shown significant objective compression improvements over the last video coding standard H.264/AVC. After the establishment of H.265/HEVC, more and more attention has been paid on how to further improve the visual quality such that better coding efficiency could be achieved. In this paper, we review the progress of subjective optimization of H.265/HEVC based video coding systems and summarize the recent advances of perceptual H.265/HEVC video coding. Referring to our earlier work, we classify the current perceptual H.265/HEVC video coding technologies into two categories, vision-model based approach and signal-driven approach. Moreover, due to the new technologies such as Coding Tree Unit (CTU) structure and Sample Adaptive Offset (SAO). The future research directions for perceptual H.265/HEVC video coding are also discussed. |
Starting Page | 564 |
Ending Page | 567 |
File Size | 210579 |
Page Count | 4 |
File Format | |
e-ISBN | 9781479919482 |
DOI | 10.1109/ChinaSIP.2015.7230466 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-07-12 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Video coding Visualization Subjective optimization Computational modeling Transforms H.265/HEVC Encoding Perceptual coding Standards Optimization |
Content Type | Text |
Resource Type | Article |
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