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Efficient reference frame selection method for lightweight HEVC encoder

  • Korea Electronics Technology Institute

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As a demand of video resolution increases highly, video encoder can face difficulties on the computational complexity to process huge pixel data with real-time environment. Many researches have focused on the complexity of high efficiency video coding (HEVC) test model (i.e., HM) which is far from real-time encoding for even high-definition video. However, it has been rarely studied in literature to establish a lightweight HEVC test model (LHM) and to decrease the complexity of LHM further. In this paper, LHM that equips fast encoding options is newly established, and a fast motion estimation (ME) method is proposed to challenge decreasing the encoding complexity of LHM. The proposed method exploits the intriguing correlation of the motion information of merge/skip mode with the information of other motion partitions to minimize the required number of reference frames in ME process. Experimental results showed that the proposed method could substantially decrease the complexity of LHM in view of encoding time as well as memory access.

Original languageEnglish
Title of host publication2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781538660959
DOIs
StatePublished - 13 Dec 2018
Event8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018 - Berlin, Germany
Duration: 2 Sep 20185 Sep 2018

Publication series

NameIEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Volume2018-September
ISSN (Print)2166-6814
ISSN (Electronic)2166-6822

Conference

Conference8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
Country/TerritoryGermany
CityBerlin
Period2/09/185/09/18

Keywords

  • encoder complexity
  • HEVC
  • motion estimation
  • multiple reference frame

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