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Author:

Jia, Shan (Jia, Shan.) | Ding, Wenpeng (Ding, Wenpeng.) | Shi, Yunhui (Shi, Yunhui.) (Scholars:施云惠) | Yin, Baocai (Yin, Baocai.) (Scholars:尹宝才)

Indexed by:

CPCI-S

Abstract:

Many fast integer-pixel motion estimation algorithms have been developed for the High Efficiency Video Coding Standard, however the speed of sub-pixel motion estimation still has room for improvement. A fast sub-pixel motion estimation algorithm is proposed in this paper to speed up the sub-pixel search process. First, the proposed scheme skips sub-pixel search process in smooth prediction units. Then a fast sub-pixel search algorithm based on texture direction analysis is proposed to further reduce the computational complexity of sub-pixel motion estimation. The simulation results show that compared with the Full Sub-pixel Search (FSPS), the encoding complexity of the whole motion estimation process can be reduced by an average of 40.9% with negligible coding performance loss.

Keyword:

video coding texture direction HEVC motion estimation (ME) sub-pixel search

Author Community:

  • [ 1 ] [Jia, Shan]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Coll Metropolitan Transportat, Beijing, Peoples R China
  • [ 2 ] [Ding, Wenpeng]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Coll Metropolitan Transportat, Beijing, Peoples R China
  • [ 3 ] [Shi, Yunhui]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Coll Metropolitan Transportat, Beijing, Peoples R China
  • [ 4 ] [Yin, Baocai]DLUT, Sch Software Technol, Dalian, Peoples R China
  • [ 5 ] [Yin, Baocai]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing, Peoples R China

Reprint Author's Address:

  • [Jia, Shan]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Coll Metropolitan Transportat, Beijing, Peoples R China

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Source :

2016 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)

ISSN: 0271-4302

Year: 2016

Page: 566-569

Language: English

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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