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author:

Feng, Guanxiong (Feng, Guanxiong.) [1] | Huang, Bo (Huang, Bo.) [2] | Chen, Jian (Chen, Jian.) [3] (Scholars:陈建) | Wu, Linhuang (Wu, Linhuang.) [4] (Scholars:吴林煌) | Zhuo, Deshan (Zhuo, Deshan.) [5]

Indexed by:

CPCI-S EI Scopus

Abstract:

High Efficiency Video Coding (HEVC) is the mainstream international standard of video compression. HEVC introduces a more flexible division structure based on quadtree coding block and 35 intra prediction modes, and results in high video compression performance for intra prediction of HEVC. However, in order to get the best prediction mode, traditional encoders usually traverse all intra prediction modes, which have high complexities. To reduce the complexity of the coding of intra prediction, we propose a fast algorithm of intra prediction based on video content features. The fast algorithm of intra prediction proposed in this paper is implemented on the HM 16.7 which is a reference software of HEVC, and the results of experiment show that the average coding time is reduced by about 28.13% while the BD rate increases by only 0.92% under the all-intra conguration.

Keyword:

Fast Algorithm HEVC Intra prediction video content features

Community:

  • [ 1 ] [Feng, Guanxiong]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
  • [ 2 ] [Huang, Bo]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
  • [ 3 ] [Chen, Jian]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
  • [ 4 ] [Wu, Linhuang]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
  • [ 5 ] [Zhuo, Deshan]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • 陈建

    [Chen, Jian]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China

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Source :

FUZZY SYSTEMS AND DATA MINING V (FSDM 2019)

ISSN: 0922-6389

Year: 2019

Volume: 320

Page: 792-797

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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