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context-adaptive binary arithmetic coding With Fixed-Length Codewords

IEEE TRANSACTIONS ON MULTIMEDIA 2015年第8期17卷 1385-1390页

作者： Auli-Llinas, Francesc Univ Autonoma Barcelona Dept Informat & Commun Engn Bellaterra 08193 Spain

context-adaptive binary arithmetic coding is a widespread technique in the field of image and video coding. Most state-of-the-art arithmetic coders produce a (long) codeword of a priori unknown length. Its generation requires a renormalization procedure to permit progressive processing. This paper introduces two arithmetic coders that produce multiple codewords of fixed length. Contrary to the traditional approach, the generation of fixed-length codewords does not require renormalization since the whole interval arithmetic is stored in the coder's internal registers. The proposed coders employ a new context-adaptive mechanism based on variable-size sliding window that estimates with high precision the probability of the symbols coded. Their integration in coding systems is straightforward as demonstrated within the framework of JPEG2000. Experimental tests indicate that the proposed coders are computationally simpler than the MQ coder of JPEG2000 and the M coder of HEVC while achieving superior coding efficiency.

关键词： context-adaptive binary arithmetic coding fixed-length arithmetic codes

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Efficient CABAC Rate Estimation for H.264/AVC Mode Decision

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2010年第2期20卷 310-316页

作者： Hahm, Jongmin Kyung, Chong-Min Samsung Elect Co Ltd Kyeonggi Do 443742 South Korea Korea Adv Inst Sci & Technol Taejon 305701 South Korea

In H.264/AVC coders, the optimal mode decision for each coding unit is achieved based on a calculation of the rate-distortion (R-D) cost for each candidate mode. In this letter, we propose a context-adaptive binary arithmetic coding (CABAC)-based rate estimation scheme that reduces the computational complexity of the R-D cost function evaluation. The complex and time-consuming calculation of the arithmetic coding is replaced by a table lookup based on the proposed CABAC rate model for fast rate estimation. The context modeling part of CABAC is also simplified to accelerate the rate estimation process. The experimental results show that the proposed estimator follows the actual rate with the coefficient of determination R-2 = 0.9997. The proposed estimator yields about a 30% reduction in the computational complexity of the R-D optimized mode decision, thereby accelerating the entire encoder by about 17% to 25% with almost no degradation in the R-D performance.

关键词： context-adaptive binary arithmetic coding estimation H.264/AVC mode decision rate-distortion optimization

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Neural Network-Based arithmetic coding of Intra Prediction Modes in HEVC

Neural Network-Based Arithmetic Coding of Intra Prediction M...

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IEEE Visual Communications and Image Processing (VCIP)

作者： Song, Rui Liu, Dong Li, Houqiang Wu, Feng Univ Sci & Technol China CAS Key Lab Technol Geospatial Informat Proc & Ap Hefei 230027 Anhui Peoples R China

ISBN: (纸本)9781538604625

In both H.264 and HEVC, context-adaptive binary arithmetic coding (CABAC) is adopted as the entropy coding method. CABAC relies on manually designed binarization processes as well as handcrafted context models, which may restrict the compression efficiency. In this paper, we propose an arithmetic coding strategy by training neural networks, and make preliminary studies on coding of the intra prediction modes in HEVC. Instead of binarization, we propose to directly estimate the probability distribution of the 35 intra prediction modes with the adoption of a multi-level arithmetic codec. Instead of handcrafted context models, we utilize convolutional neural network (CNN) to perform the probability estimation. Simulation results show that our proposed arithmetic coding leads to as high as 9.9% bits saving compared with CABAC.

关键词： arithmetic coding context-adaptive binary arithmetic coding Convolutional neural network HEVC Intra prediction mode

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Fast entropy-based CABAC rate estimation for mode decision in HEVC

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SPRINGERPLUS 2016年第1期5卷 1页

作者： Chen, Wei-Gang Wang, Xun Zhejiang Gongshang Univ Sch Comp & Informat Engn Hangzhou 310018 Zhejiang Peoples R China

High efficiency video coding (HEVC) seeks the best code tree configuration, the best prediction unit division and the prediction mode, by evaluating the rate-distortion functional in a recursive way and using a "try all and select the best" strategy. Further, HEVC only supports context adaptive binary arithmetic coding (CABAC), which has the disadvantage of being highly sequential and having strong data dependencies, as the entropy coder. So, the development of a fast rate estimation algorithm for CABAC-based coding has a great practical significance for mode decision in HEVC. There are three elementary steps in CABAC encoding process: binarization, context modeling, and binary arithmetic coding. Typical approaches to fast CABAC rate estimation simplify or eliminate the last two steps, but leave the binarization step unchanged. To maximize the reduction of computational complexity, we propose a fast entropy-based CABAC rate estimator in this paper. It eliminates not only the modeling and the coding steps, but also the binarization step. Experimental results demonstrate that the proposed estimator is able to reduce the computational complexity of the mode decision in HEVC by 9-23 % with negligible PSNR loss and BD-rate increment, and therefore exhibits applicability to practical HEVC encoder implementation.

关键词： High efficiency video coding Mode decision Rate-distortion optimization context-adaptive binary arithmetic coding Rate estimation

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