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Author:

Zhu, Weijia (Zhu, Weijia.) | Ding, Wenpeng (Ding, Wenpeng.) | Shi, Yunhui (Shi, Yunhui.) (Scholars:施云惠) | Sun, Yanfeng (Sun, Yanfeng.) (Scholars:孙艳丰) | Yin, Baocai (Yin, Baocai.) (Scholars:尹宝才)

Indexed by:

CPCI-S

Abstract:

H.264/AVC adopts intra coding technique to reduce spatial redundancies. In order to achieve better coding performance, there are nine candidate modes for 4x4 block unit to be selected by Rate-Distortion Optimization(RDO) process in the H.264/AVC encoder-side. However, too many intra candidate modes undoubtedly increase the transmitted bits that represent them. To solve this problem, a novel method for reducing the number of intra modes is proposed in this paper. For each 4 x 4 block, our algorithm can cluster the nine candidate modes into several groups and selects one mode from each group as a representative of all the modes in this group, so the cost of transmission can be reduced significantly because of the reduction of number of candidate modes. Experimental results show that the proposed method achieves 3.2% bit-rate reduction on average for various video sequences. The improvement of coding performance can be up to 7% bit-rate reduction at low bit rate, averagely.

Keyword:

H.264 intra prediction clustering intra modes reduction

Author Community:

  • [ 1 ] [Zhu, Weijia]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China
  • [ 2 ] [Ding, Wenpeng]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China
  • [ 3 ] [Shi, Yunhui]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China
  • [ 4 ] [Sun, Yanfeng]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China
  • [ 5 ] [Yin, Baocai]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Zhu, Weijia]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China

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Source :

2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)

ISSN: 1522-4880

Year: 2011

Page: 1665-1668

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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