Intraframe Coding with Massive Dictionaries of Tree-Structured Representations
Authors: 
Hong-Cyuan Wang, Yung-Yao Chen, Wen-Huang Cheng, Shih-Wei Sun, Kai-Lung HuaAuthors Info & Claims
Hong-Cyuan Wang, Yung-Yao Chen, Wen-Huang Cheng, Shih-Wei Sun, Kai-Lung HuaAuthors Info & ClaimsPages 201 - 204
Abstract
H.264/AVC belongs to block-based coding category. For the H.264/AVC intraframe coding, a frame is first divided into non-overlapped blocks, and then intra prediction and the DCT-like transform are applied block by block. For the inter frame coding, H.264/AVC employs variable-block-size for motion compensation and transform stages that can significantly improve the coding performance compared with previous video coding standards. However, for the transform stage of intraframe coding, H.264/AVC only provides two fixed transform block sizes: 4 × 4 and 8 × 8 blocks. In this paper, we propose to employ two massive dictionaries (dyadic and multitree) of representations to improve the efficiency of H.264/AVC intraframe coding. In addition, the corresponding rate-distortion cost function and a fast search algorithm are introduced to incorporate the massive dictionaries into the transform stage. The experimental results show that the proposed method outperforms H.264/AVC in terms of both subjective and objective evaluations.
References
[1]
JVT reference software version 13.1.
[2]
A. Ahmadiyah et al. An efficient anaglyph stereo video compression pipeline. 24th IS&T/SPIE Symposium on Electronic Imaging, Conference on 3D Image Processing and Applications, 2013.
[3]
S.-J. Baek et al. Adaptive coefficient scanning based on universal prediction. IEEE Electronics Letters, Dec. 2009.
[4]
J. Balle and M. Wien. Extended texture prediction for h.264/avc intra coding. ICIP, Oct. 2007.
[5]
W.-H. Cheng et al. Video adaptation for small display based on content recomposition. IEEE Trans. on Circuits and Systems for Video Technology, 2007.
[6]
C.-C. Ho et al. A practical foveation-based rate shaping mechanism for mpeg videos. IEEE Trans. on Circuits and Systems for Video Technology, 2005.
[7]
K.-L. Hua et al. Optimal image tilings with application to video compression. ICIP, pages 2497--2500, Oct. 2006.
[8]
K.-L. Hua et al. Optimal tilings for image and video compression. IEEE Asilomar Conf. Signals, Systems, and Computers, Oct. 2006.
[9]
K.-L. Hua et al. Efficient coders for large tree-structured dictionaries of tilings. IEEE Asilomar Conf. Signals, Systems, and Computers, 2011.
[10]
K.-L. Hua et al. Interframe video compression with large dictionaries of tilings: Algorithms for tiling selection and entropy coding. IEEE Trans. Circuits and Systems for Video Technology, Aug. 2012.
[11]
Y. Huang et al. Fast search for best representations in multitree dictionaries. IEEE Trans. Image Processing, 15:1779--1793, July 2006.
[12]
H. Krim et al. On denoising and best signal representation. IEEE Trans. Information Theory, Nov. 1999.
[13]
I. Richardson. H.264 and MPEG-4 Video Compression: Video Coding for Next Generation Multimedia. Wiley, 2003.
[14]
T. Wiegand et al. Overview of the h.264/avc video coding standard. IEEE Trans. Circuits and Systems for Video Technology, Jul. 2003.
[15]
R. M. Willett and R. D. Nowak. Platelets: A multiscale approach for recovering edges and surfaces in photon-limited medical imaging. IEEE Trans. Medical Imaging, Mar. 2003.
[16]
D. Xu and M. Do. On the number of rectangular tilings. IEEE Trans. Image Processing, Oct. 2006.
[17]
T. Ye and M. Karczewicz. Improved h.264 intra coding based on bi-directional intra prediction, directional transform, and adaptive coefficient scanning. ICIP, 2008.
Index Terms
- Intraframe Coding with Massive Dictionaries of Tree-Structured Representations
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Information & Contributors
Information
Published In
July 2014
430 pages
ISBN:9781450328104
DOI:10.1145/2632856
- General Chairs:
- Hanzi Wang,
- Larry Davis,
- Program Chairs:
- Wenwu Zhu,
- Stephan Kopf,
- Yanyun Qu,
- Publications Chairs:
- Jun Yu,
- Jitao Sang,
- Tao Mei
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In-Cooperation
- NSF of China: National Natural Science Foundation of China
- Beijing ACM SIGMM Chapter
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 July 2014
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ICIMCS '14
ICIMCS '14: International Conference on Internet Multimedia Computing and Service
July 10 - 12, 2014
Xiamen, China
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Overall Acceptance Rate 163 of 456 submissions, 36%
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