Adaptive Single-Multiple Prediction for H.264/AVC Intra Coding

• Published in: IEEE transactions on circuits and systems for video technology Vol. 20; no. 4; pp. 610 - 615
• Main Authors: KIM, Dae-Yeon, HAN, Ki-Hun, LEE, Yung-Lyul
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-04-2010; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Automatic voltage control; Circuit properties; Circuits; Coding; Coding efficiency; Complexity; Decoding; Digital multimedia broadcasting; Electric, optical and optoelectronic circuits; Electronic circuits; Electronics; Encoders; Encoding; Exact sciences and technology; H.264/AVC; Image processing; Information, signal and communications theory; intra coding; MPEG 4 Standard; Multimedia communication; Prediction methods; Rate-distortion; rate-distortion optimization (RDO); Reduction; Redundancy; Signal convertors; Signal processing; Skips; spatial prediction; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Teletraffic; Video coding; Video coding; Performance evaluation; Signal compression; Redundancy; Coding circuit; Flow rate regulation; Rate distortion theory; Teletraffic; H.264/AVC; spatial prediction; Adaptive method; Optimization; Video signal processing; Intra coding; Traffic management; Coding efficiency; Traffic control; rate-distortion optimization (RDO)
• ISSN: 1051-8215; 1558-2205
• DOI: 10.1109/TCSVT.2010.2041822

Intra coding is used for reducing the spatial redundancy in video coding. H.264/MPEG-4 advanced video coding (AVC) supports several types of macroblock (MB) mode for Intra coding. Also, each of these MB modes has several directional prediction modes, which significantly improve the Intra coding efficiency, but also increase the encoding complexity. In this letter, we present an adaptive single-multiple prediction method for H.264/AVC Intra coding that not only improves the coding efficiency, but also reduces the encoding complexity. The proposed method adaptively skips the prediction mode bits, so that the encoder complexity can be reduced. The experimental results show that the proposed method achieves a bit-rate reduction of 3.58% and encoding time reduction of 42.4%.