Paper
29 January 2007 Advances in hybrid video coding
Thomas Wedi, Steffen Wittmann, Torsten Palfner, Bernhard Schuur, Florian Knicker
Author Affiliations +
Proceedings Volume 6508, Visual Communications and Image Processing 2007; 650812 (2007) https://doi.org/10.1117/12.713078
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Hybrid video coding is known for a long time and is applied in all video coding standards such as MPEG-x or H.26x. This paper shows that there is still enough potential for further coding efficiency improvements. The paper starts with an overview of state-of-the-art hybrid video coding schemes such as H.264/AVC. Thereafter, our advances on main building blocks of H.264/AVC are presented that significantly improve the coding efficiency. For instance, intra prediction is improved by changing scan directions and thus providing better reference pixels for specific prediction directions. Adaptive filtering and high precision motion compensation improves the motion compensated prediction. Furthermore, the combination of transformation, quantization, and entropy coding of the prediction error is improved using an advanced frequency selective coding technique. With the transmission of post-filter hints it is possible to design a Wiener post-filter that significantly enhances the picture quality. Finally, texture synthesis techniques are used to improve the subjective quality for specific textures with homogenous statistical characteristics. This paper presents our above-mentioned techniques in detail. Depending on the input sequence and the bit rate, the objective and/or subjective gains compared to H.264/AVC are quite significant.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Wedi, Steffen Wittmann, Torsten Palfner, Bernhard Schuur, and Florian Knicker "Advances in hybrid video coding", Proc. SPIE 6508, Visual Communications and Image Processing 2007, 650812 (29 January 2007); https://doi.org/10.1117/12.713078
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CITATIONS
Cited by 3 patents.
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KEYWORDS
Quantization

Video coding

Image compression

Computer programming

Image filtering

Digital filtering

Video

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