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Author:

Jia, S. (Jia, S..) | Ding, W. (Ding, W..) | Shi, Y. (Shi, Y..) | Yin, B. (Yin, B..)

Indexed by:

Scopus

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 subpixel 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. © 2016 IEEE.

Keyword:

HEVC; motion estimation (ME); subpixel search; texture direction; video coding

Author Community:

  • [ 1 ] [Jia, S.]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 2 ] [Ding, W.]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 3 ] [Shi, Y.]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 4 ] [Yin, B.]School of Software Technology, DLUT, Dalian, China
  • [ 5 ] [Yin, B.]Beijing Key Laboratory of Multimedia and Intelligent, Software Technology, Beijing University of Technology, Beijing, China

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Source :

Proceedings - IEEE International Symposium on Circuits and Systems

ISSN: 0271-4310

Year: 2016

Volume: 2016-July

Page: 566-569

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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