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Author:

Feng, Huixiao (Feng, Huixiao.) | Shi, Yunhui (Shi, Yunhui.) (Scholars:施云惠) | Yin, Baocai (Yin, Baocai.) (Scholars:尹宝才)

Indexed by:

CPCI-S EI Scopus

Abstract:

In H.264/AVC, a novel criterion named the rate distortion optimization(RDO) is employed to select the optimal coding modes for each macroblock(MB) within the intra prediction coding pictures, which can achieve a high compression ratio while leading to a great increase in the complexity and computational load unfortunately. In this paper, a DCT-based energy function is proposed, which is used to estimate the textural complexity of residual blocks of intra prediction. Then not more than 4 modes instead of 9 intra prediction modes for 4x4 block can be chosen to perform RDO according to the textural complexity of residual block. Consequently, the complexity decreases significantly. Experiments show that the proposed algorithm can save about 48% of the computation time stably while maintaining the PSNR-Bitrate performance of H.264/AVC.

Keyword:

H.264/AVC video coding a DCT-based energy function digital signal processing Image processing

Author Community:

  • [ 1 ] [Feng, Huixiao]Beijing Univ Technol, Coll Comp Sci & Technol, Multimedia & Intelligent Software Technol Beijing, Beijing 100022, Peoples R China
  • [ 2 ] [Shi, Yunhui]Beijing Univ Technol, Coll Comp Sci & Technol, Multimedia & Intelligent Software Technol Beijing, Beijing 100022, Peoples R China
  • [ 3 ] [Yin, Baocai]Beijing Univ Technol, Coll Comp Sci & Technol, Multimedia & Intelligent Software Technol Beijing, Beijing 100022, Peoples R China

Reprint Author's Address:

  • [Feng, Huixiao]Beijing Univ Technol, Coll Comp Sci & Technol, Multimedia & Intelligent Software Technol Beijing, Beijing 100022, Peoples R China

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Source :

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS

ISSN: 2576-3504

Year: 2008

Page: 187-190

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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