JOURNAL ARTICLE

Fast Coding Mode Decision for Scalable Video Coding

Sun-Hee LimJungyoup YangByeungwoo Jeon

Year: 2008 Journal:   International Conference on Advanced Communication Technology Pages: 1897-1900   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Recently proliferating heterogeneous video service environments should be able to deal with many different transmission speeds, image sizes, or qualities of video. However, not many existing video compression standards satisfy those necessities. To satisfy the functional requirements, the standardization of the H.264/AVC Scalable Video Coding (SVC) technique has been recently completed. It is an extension of the H.264/AVC which can encode several image sizes and qualities at the same time as a single bitstream. To perform optimum mode decision, motion estimation is performed for all MB modes, and the RD costs are compared to identify an MB mode with the smallest RD cost. This increases computational complexity of H.264/AVC SE encoding. In this paper, we propose an early skip mode detection scheme to reduce candidate modes and suggest an algorithm of fast mode decision utilizing reference modes according to the mode history.

Keywords:
Scalable Video Coding Computer science Bitstream Multiview Video Coding Context-adaptive binary arithmetic coding ENCODE Scalability Coding (social sciences) Video compression picture types Data compression Real-time computing Standardization Motion compensation Encoding (memory) Coding tree unit Motion estimation Rate–distortion optimization Mode (computer interface) Computational complexity theory Decoding methods Computer vision Algorithm Video tracking Artificial intelligence Video processing Mathematics

Metrics

17
Cited By
3.50
FWCI (Field Weighted Citation Impact)
5
Refs
0.94
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 Data Compression 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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