HEVC-compliant screen content transcoding based on mode mapping and fast termination

Fanyi Duanmu, Meng Xu, Yao Wang, Zhan Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a novel screen content (SC) transcoding framework is presented to efficiently bridge High Efficiency Video Coding (HEVC) and its Screen Content Coding (SCC) extension and support the bitstream backward-compatibility over legacy HEVC devices. Based on the side information analysis of SCC bit-stream, fast mode and partition heuristics are designed to accurately determine the mapping between novel SCC modes and conventional HEVC modes. Compared with the trivial SCC-HEVC transcoding solution, the proposed framework achieves a 42% re-encoding complexity reduction over standard JCT-VC screen content sequences with only 0.52% negligible BD-Rate loss under All-Intra (AI) configuration.

Original languageEnglish (US)
Title of host publication2017 IEEE Visual Communications and Image Processing, VCIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538604625
DOIs
StatePublished - Feb 28 2018
Event2017 IEEE Visual Communications and Image Processing, VCIP 2017 - St. Petersburg, United States
Duration: Dec 10 2017Dec 13 2017

Publication series

Name2017 IEEE Visual Communications and Image Processing, VCIP 2017
Volume2018-January

Other

Other2017 IEEE Visual Communications and Image Processing, VCIP 2017
CountryUnited States
CitySt. Petersburg
Period12/10/1712/13/17

Keywords

  • Fast Mode Decision
  • High Efficiency Video Coding (HEVC)
  • Mode Mapping
  • Screen Content Coding (SCC)
  • Video Transcoding

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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  • Cite this

    Duanmu, F., Xu, M., Wang, Y., & Ma, Z. (2018). HEVC-compliant screen content transcoding based on mode mapping and fast termination. In 2017 IEEE Visual Communications and Image Processing, VCIP 2017 (pp. 1-4). (2017 IEEE Visual Communications and Image Processing, VCIP 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VCIP.2017.8305056