Cited by 9Video Coding and Compression TechnologiesAdvanced Data Compression TechniquesImage and Video Quality Assessment

A Fast PU Mode Decision Algorithm for H.264/AVC to HEVC Transcoding

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Fang, Jiunn-Tsair, Chen, Zong-Yi, Liao, Tsai-Ling, Chang, Pao-Chi·2014·Computer Science & Information Technology ( CS & IT )

Abstract

H.264/AVC has been widely applied to various applications.However, a new video compression standard, High Efficient Video Coding (HEVC), had been finalized recently.In this work, a fast transcoder from H.264/AVC to HEVC is proposed.The proposed algorithm includes the fast prediction unit (PU) decision and the fast motion estimation.With the strong relation between H.264/AVC and HEVC, the motion vectors (MVs), residuals, and modes from each coding block of H.264/AVC can be reused to predict the current encoding PU of HEVC.Furthermore, the MV variance from H.264/AVC is calculated to decide the search range of PU and also to reduce the prediction mode.Simulation results show that the proposed method can save up to 53% of the encoding time and maintains the rate-distortion (R-D) performance for HEVC.

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Crossref · 10.5121/csit.2014.4218

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  • The proposed scheme is suitable for both H.264/AVC and HEVC video codec standards.

    “As mentioned in Section 1, the scheme is suitable for both current video codec standards, the H.264/AVC standard [20] and the HEVC codec [21]”

    From Effectiveness of crypto-transcoding for H.264/AVC and HEVC video bit-streams (2019) · cites this paper as [21]

    The Introduction (p. 1) describes a transcoder that takes H.264/AVC input and reuses its parameters to encode HEVC output, so the paper supports a method involving both standards. It does not establish that the citing document’s proposed scheme is suitable for both codecs generally. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

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Authors
Fang, J.-T., Chen, Z.-Y., Liao, T.-L., & Chang, P.-C.
Affiliations
  • Ming Chuan University (TW)
  • National Central University (TW)
Venue
Computer Science & Information Technology ( CS & IT )
Published
2014-02-21
Pages
215-225
OpenAlex
W1993267900
Cited by
9
References
6
Citations by year
2019: 1 · 2018: 1 · 2017: 2 · 2015: 5
FWCI
1.95
Type
conference paper
Language
en
Open access
Topics
  • Physical Sciences › Computer Science › Signal Processing › Video Coding and Compression Technologies
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Data Compression Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
Keywords
fast motion estimation, motion vector reuse, search range reduction, rate-distortion performance

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