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Performance Comparison of AVS and H.264/AVC video coding Standards

Journal of Computer Science & Technology 2006年第3期21卷 310-314页

作者：王新夫赵德斌 Department of Computer Science Harbin Institute of TechnologyHarbin 150001P.R.China

A new audio and video compression standard of China,known as advanced Audio video coding Standard （AVS）.is *** standard provides a technical solution for many applications within the information industry such as digital broadcast,high-density laser—digital storage media,and so *** basic part of AVS,AVS1-P2,targets standard definition （SD）and high definition（HD）format video compression,and aims to achieve similar coding efficiency as H.264/AVC but with lower computational *** this paper,we first briefly describe the major coding tools in AVS1-P2,and then perform the coding efficiency comparison between AVS1-P2 Jizhun profile and H.264/AVC main *** experimental results show that the AVS1-P2 Jizhun profile has an average of 2.96% efficiency loss relative to H.264/AVC main profile in terms of bit-rate saving on HD progressive-scan sequences,and an average of 28.52% coding loss on interlace-scan ***,AVS1-P2 possesses a valuable feature of lower computational complexity.

关键词： video coding image compression AVS H.264/AVC

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Fast matching pursuit video coding by combining dictionary approximation and atom extraction

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR video TECHNOLOGY 2007年第12期17卷 1679-1689页

作者： Lin, Jian-Liang Hwang, Wen-Liang Pei, Soo-Chang Acad Sinica Inst Sci Informat Taipei 115 Taiwan Natl Taiwan Univ Dept Elect Engn Taipei 10617 Taiwan

In this paper, we propose a systematic approach that approximates a target dictionary to reduce the complexity of a matching pursuit encoder. We combine calculation of the inner products and maximum atom extraction of a matching pursuit video coding scheme based on eigendictionary approximation and tree-based vector quantization. The approach makes the codec design and optimization cleaner and more systematic than previous dictionary approximation methods. We vary the quality of approximation to demonstrate the tradeoff between computational complexity and coding efficiency. The experiment results show that our codec achieves speed-up factors of up to 100 with a performance loss of less than 0.1 dB. We use double-stimulus impairment scale scores to evaluate the perceptual quality of our approach for different levels of complexity.

关键词： fast algorithm matching pursuit (MP) tree-based vector quantization (VQ) video coding

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A new motion estimation algorithm for video coding using adaptive Kalman filter

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REAL-TIME IMAGING 2002年第5期8卷 387-398页

作者： Kuo, CM Chao, CP Hsieh, CH I Shou Univ Tahsu Dept Informat Engn Kaohsiung 840 Taiwan I Shou Univ Tahsu Dept Elect Engn Kaohsiung 840 Taiwan

This paper presents a new motion estimation algorithm to improve the performance of the existing searching algorithms at a relatively low computational cost. We try to amend the incorrect and/or inaccurate estimate of motion with higher precision by using Kalman filter. We first obtain a measurement of motion vector of a block by using the existing searching scheme. We then generate the predicted motion vector utilizing the inter-block correlation in both spatial and temporal directions. In general, the motion correlation in spatial direction is different from that in temporal direction. Therefore, if we appropriately utilize the motion correlation in spatial direction and temporal direction, the better performance would be achieved. In this paper, we will propose an adaptive Kalman filter which utilizes a model switching mechanism to select correct motion model. Simulation results show that the proposed technique can efficiently improve the motion estimation performance. (C) 2002 Elsevier Science Ltd. All rights reserved.

关键词： motion estimation algorithms adaptive Kalman filters motion vector video coding Kalman filters

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Block-based fine granularity scalable video coding with optimized rate allocation for content-aware streaming

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INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY 2003年第6期13卷 322-330页

作者： He, YW Yang, SQ Zhong, YH Tsing Hua Univ Dept Comp Sci & Technol Hsinchu Taiwan

This article proposes a novel block-based fine granularity scalable (FGS) video coding structure with optimized rate allocation for content-aware streaming, which is more flexible than MPEG-4 FGS specified in the streaming profile of MPEG-4 standard (IS-14496). In MPEG-4 FGS streaming, rate allocation can only be based on frame because MBs' compressed data are interlaced between bit-planes. However in the proposed coding structure, every MB's data are independent;therefore, streaming server can allocate bits according to content's importance, and the quality of those regions of interest is enhanced selectively with more bits allocated. In this way, the streaming server can have a differentiated delivery strategy to support a personalized streaming service considering user's preference. But the uniform rate allocation of proposed block-based FGS coding will result in a greater loss of coding efficiency than that of MPEG-4 FGS within a quite wide bit-rate range. An optimized and fast rate allocation method according to block's rate-distortion is proposed to solve this critical issue. And the coding efficiency is improved successfully, which can be comparable with MPEG-4 FGS coding and is even better up to 0.5 dB, with some sequences at medium bit-rates. (C) 2004 Wiley Periodicals, Inc.

关键词： MPEG-4 FGS video streaming video coding rate allocation

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A new compressive sensing video coding framework based on Gaussian mixture model

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SIGNAL PROCESSING-IMAGE COMMUNICATION 2017年 55卷 66-79页

作者： Li, Xiangwei Lan, Xuguang Yang, Meng Xue, Jianru Zheng, Nanning Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Shaanxi Peoples R China Chinese Acad Sci Xian Inst Opt & Precis Mech Xian 710049 Shaanxi Peoples R China

In this paper, we specifically design an efficient compressive sensing video (CSV) coding framework for the CSV system, by considering the distribution characteristics of the CSV frame. To explore the spatial redundancy of the CSV, the CSV frame is first divided into blocks and each block is modeled by a Gaussian mixture model (GMM), and then it is compressed by a product vector quantization. We further explore the temporal redundancy of the CSV by encoding the adjacent CSV frames by the differential pulse code modulation technique and the arithmetic encoding technique. Experiment results show that the proposed CSV coding solution maintains low coding complexity, which is required by the CSV system. Meanwhile, it achieves significant BD-PSNR improvement by about 7.13-11.41 dB (or equivalently 51.23-66.96% bitrate savings) compared with four existing video coding solutions, which also have low computational complexity and suit for the CSV system.

关键词： Compressive sensing video Gaussian mixture model Lossy compression video coding Product vector quantizer

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Novel rate control scheme for intra frame video coding with exponential rate-distortion model on H.264/AVC

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JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2012年第6期23卷 873-882页

作者： Tian, Ling Zhou, Yimin Sun, Yu Univ Elect Sci & Technol China Coll Comp Sci & Engn Chengdu 610054 Peoples R China Univ Cent Arkansas Dept Comp Sci Conway AR 72035 USA

Rate control regulates the output bit rate of a video encoder in order to obtain optimum visual quality within the available network bandwidth and to maintain buffer fullness within a specified tolerance range. Due to the benefits of intra-only encoding, such as less computational cost and less latency, it has been more and more widely used. In this paper, we propose an accurate intra-only rate control scheme for H.264/AVC, which includes a novel complexity measurement and a new rate-distortion (R-D) model. We also propose a linear rate-complexity model which takes the intercept into consideration to reduce the estimation error. The proposed R-D model is integrated by the linear rate-complexity model and an exponential rate-quantization model. Based on theoretical analysis and experimental validation, the proposed scheme has high bits prediction precision, and it can also accurately handle buffer fullness. Compared with JVT-W042, our algorithm achieves higher average PSNR and improves the coding quality up to 0.35 dB. (c) 2012 Elsevier Inc. All rights reserved.

关键词： Rate control H.264/AVC video coding Rate-distortion model Intra-only Mean absolute difference Bit rate Virtual buffer Low-delay video video quality

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Adaptive group-of-pictures and scene change detection methods based on existing H.264 advanced video coding information

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IET IMAGE PROCESSING 2008年第2期2卷 85-94页

作者： Ding, J. -R. Yang, J. -F Natl Cheng Kung Univ Dept Elect Engn Inst Comp & Commun Engn Tainan 70101 Taiwan

The H.264 advanced video coding (H.264/AVC) standard provides several advanced features such as improved coding efficiency and error robustness for video storage and transmission. In order to improve the coding performance of H.264/AVC, coding control parameters such as group-of-pictures (GOP) sizes should be adaptively adjusted according to different video content variations (VCVs), which can be extracted from temporal deviation between two consecutive frames. The authors present a simple VCV estimation to design adaptive GOP detection (AGD) and scene change detection (SCD) methods by using the obtained motion information, where the motion vectors and the sum of absolute transformed differences as VCV features are effectively used to design the AGD and SCD algorithms, respectively. In order to avoid unnecessary computation, the above VCV features are obtained only in the 4 x 4 inter-frame prediction mode. Simulation results show that the proposed AGD with SCD methods can increase the peak signal-to-noise ratio by 0.62 dB on average over the H.264/AVC operated with a fixed GOP size. Besides, the proposed SCID method can reach a scene change detection rate of 98%.

关键词： adaptive group-of-picture H.264 advanced video coding video coding Computer vision and image processing techniques Image and video coding scene change detection method feature extraction motion estimation adaptive GOP detection motion vector video storage/transmission video content variation video signal processing

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Segmentation-based video coding system allowing the manipulation of objects

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR video TECHNOLOGY 1997年第1期7卷 60-74页

作者： Salembier, P Marques, F Pardas, M Morros, JR Corset, I Jeannin, S Bouchard, L Meyer, F Marcotegui, B PHILIPS RES LABS F-94453 LIMEIL BREVANNES FRANCE PARIS SCH MINES F-77305 FONTAINEBLEAU FRANCE

This paper presents a generic video coding algorithm allowing the content-based manipulation of objects. This manipulation is possible thanks to the definition of a spatiotemporal segmentation of the sequences. The coding strategy relies on a joint optimization in the rate-distortion sense of the partition definition and of the coding techniques to be used within each region. This optimization creates the link between the analysis and synthesis parts of the coder. The analysis defines the time evolution of the partition, as well as the elimination or the appearance of regions that are homogeneous either spatially or in motion. The coding of the texture as well as of the partition relies on region-based motion compensation techniques, The algorithm offers a good compromise between the ability to track and manipulate objects and the coding efficiency.

关键词： affine motion estimation compensation rate-distortion optimization region-based coding spatiotemporal segmentation video coding

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Research on adaptive scanning and quantisation for 3D DCT video coding

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IMAGING SCIENCE JOURNAL 2013年第2期61卷 232-240页

作者： Sun, W. B. Chen, H. X. Sun, W. B. Zhang, Y. Y. Tang, H. Y. Jilin Univ Sch Commun Engn Changchun 130025 Peoples R China Aviat Univ AF Changchun 130022 Peoples R China Anhui Univ Techol Sch Math & Phys Maanshan 243002 Peoples R China

Nowadays, a well-established video coding method is based on the block-matching algorithm that is in the core of all MPEG and H.26x standards. However, this method involves motion estimation and compensation;thus the computational complexity is high. However, the video coding based on three-dimensional discrete cosine transform (3DDCT) is a potential method, and the scanning order and quantisation of 3D DCT coefficients play a crucial role in coding effect. So, the statistical performances of 3D DCT are studied in this paper, and then adaptive scanning order and quantisation of 3D coefficients are proposed. The theoretical analysis and experiment results show significant improvement in performance over previously reported methods.

关键词： video coding 3D transform coding 3D DCT quantisation scanning order

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Fast motion estimation approaches for surveillance-type videos in an inter-frame JPEG 2000-based adaptive video coding system

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IET IMAGE PROCESSING 2012年第1期6卷 31-42页

作者： Schuchter, A. Uhl, A. Salzburg Univ Dept Comp Sci A-5020 Salzburg Austria

In this study, we evaluate fast motion estimation (ME) techniques in the context of a JPEG 2000-based video coding system for surveillance-type videos. The authors have designed a low-complexity algorithm, called block-selective ME, which restricts block matching to certain frames or blocks containing high motion. They compare the performance of our block-selective ME algorithm to a frame-based approach and to a standard fast-motion algorithm (three-step search (TSS)). For surveillance-type videos, the authors show that the block-selective approach achieves the peak signal to noise ratio (PSNR) quality of a full ME scheme for;70-80% of the blocks. Moreover, this approach delivers a higher visual image quality compared to TSS, if the computational load for a set number of blocks were fixed. The authors have integrated our block-selective approach into different coders (H.264 and MPEG-2) and show that our approach is an outstanding alternative to fast-ME in low-complexity environments.

关键词： search problems visual image quality three-step search algorithm Image recognition adaptive video coding system Image and video coding surveillance-type videos fast-motion algorithm motion estimation adaptive codes interframe JPEG 2000 image matching block matching video coding image sequences video surveillance peak signal to noise ratio low-complexity algorithm block-selective ME algorithm Computational complexity video signal processing video frames computational complexity Combinatorial mathematics PSNR

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