JOURNAL ARTICLE

Fast Mode Decision Algorithm for Inter-Frame Coding in Fully Scalable Video Coding

Hongyang LiZ.G. LiChangyun Wen

Year: 2006 Journal:   IEEE Transactions on Circuits and Systems for Video Technology Vol: 16 (7)Pages: 889-895   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Scalable video coding is an ongoing standard, and the current working draft (WD) is an extension of H.264/AVC. In the WD, an exhaustive search technique is employed to select the best coding mode for each macroblock. This technique achieves the highest possible coding efficiency, but it results in extremely large encoding time which obstructs it from practical use. This paper proposes a fast mode decision algorithm for inter-frame coding for spatial, coarse grain signal-to-noise ratio, and temporal scalability. It makes use of the mode-distribution correlation between the base layer and enhancement layers. Specifically, after the exhaustive search technique is performed at the base layer, the candidate modes for enhancement layers can be reduced to a small number based on the correlation. Experimental results show that the fast mode decision scheme reduces the computational complexity significantly with negligible coding loss and bit-rate increases

Keywords:
Macroblock Coding tree unit Computer science Scalable Video Coding Algorithm Context-adaptive binary arithmetic coding Coding (social sciences) Algorithmic efficiency Inter frame Scalability Computational complexity theory Harmonic Vector Excitation Coding Data compression Real-time computing Reference frame Bit rate Motion compensation Decoding methods Frame (networking) Mathematics Telecommunications Statistics

Metrics

119
Cited By
11.19
FWCI (Field Weighted Citation Impact)
16
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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