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提出梯度方向算子的概念,基于该算子提出了一种H.264帧内模式快速选择算法。本文首先应用梯度方向算子计算编码宏块中各4×4亮度子块的纹理特征和灰度起伏特征,根据这两种特征参量削减4×4帧内候选预测模式。通过统计宏块中各子块的4×4候选预测模式信息,结合梯度方向强度门限判别法削减宏块的16×16候选预测模式,通过率失真优化算法计算得到最优亮度预测模式。进一步根据亮度宏块和色度宏块的对应关系,在亮度候选预测模式的基础上对色度宏块候选预测模式进行削减,最后计算得到最优色度预测模式。该算法削减了50%以上的帧内预测模式,减少了帧内预测模式选择的运算量,实验表明,该算法能够在峰值信噪比和码流比特率变化轻微的前提下减少50%以上的运算量。 相似文献
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Qingbo Wu Linfeng Xu Liaoyuan Zeng Jian Xiong 《Journal of Visual Communication and Image Representation》2013,24(7):988-1001
In this paper, a high performance and low complexity loop filter is proposed for intra prediction coding. Although the deblocking loop filter (DLF) has achieved outstanding performance on suppressing quantization noise, it also induces details information loss because of the smoothing operation. To achieve better restoration performance, we propose a filter set named mode dependent loop filter (MDLF) which adaptively select the filter coefficients according to various local characteristics. In the homogeneous areas, the task of the filter emphasizes on smoothing the noise. In the heterogeneous areas, the proposed filter concentrates on preserving the details. Based on the spatial correlation assumption and statistical analysis, the intra mode combination is used to classify the training samples with different local characteristics. Then the classical least mean square error framework is employed to solve the coefficients for the proposed filter set. In this way, a more efficient adaptive loop filter scheme can be achieved for specific intra mode combination. Experiment results show that the proposed loop filter achieves superior coding gains compared to the H.264/AVC High Profile. Furthermore, relative to QALF+DLF, a comparable performance also can be achieved by the proposed MDLF with far less complexity increase. 相似文献
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An improved fast mode decision algorithm for intraprediction in H.264/AVC video coding 总被引:1,自引:0,他引:1
Manuel de-Frutos-Lpez Daniel Orellana-Quirs Jos C. Pujol-Alcolado Fernando Díaz-de-María 《Signal Processing: Image Communication》2010,25(10):709-716
In this article, an improved version of one of the most cited intra mode decision algorithms in H.264/AVC video coding is proposed with the aim to improve its efficiency and performance. The reference algorithm determines the interpolation/extrapolation spatial direction (mode) for achieving the best intra prediction using the Sobel gradient calculation. The proposed algorithm suggests reducing the number of gradients calculated and changing the Sobel operator to that of Roberts. In addition to this, it also proposes including the previously encoded neighboring block modes among the evaluated modes. Experimental results show that the proposed algorithm reduces the computational load of the original algorithm and substantially improves its rate-distortion performance. 相似文献
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Kuen-Cheng Chiang Ming Feng WuJean Jyh-Jiun Shann 《Journal of Visual Communication and Image Representation》2012,23(2):245-253
In this paper, we propose an architecture for H.264/AVC fast intra-prediction-mode decision making in high resolution real-time applications. Intra-prediction-mode decision making requires many computations of H.264/AVC video coding, and also extra time for mode generation for intra prediction mode decisions. Hence, there exists a bottleneck in the execution of high resolution real-time applications. To improve the operation of intra prediction mode decision, we use an algorithm which, based on the edge information of an object, will reduce estimations of mode predictions by 66%; with negligible loss of video quality and a small increase in bit-rate of video stream. We propose a low cost architecture, with gate counts reduced by 50% compared with former design. The total gate count is 86,671 and the maximum operating frequency is 250 MHz using TSMC 0.18 μm cell-based technology. The experimental results show our design is a strong competitor with most modern high resolution, real-time video processing. 相似文献
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In this letter, an adaptive scanning that improves intra coding efficiency in the H.264/AVC standard is proposed. The proposed adaptive scanning utilizes the prediction directions (modes) that include the horizontal and vertical edge information in a block. Depending on the prediction directions, the proposed method uses three scanning methods: zigzag scanning, horizontal scanning, and vertical scanning. In the proposed method, horizontal and vertical scanning are used in vertical and horizontal prediction modes, respectively, and the normal zigzag scanning in the H.264 standard is used in all other intra prediction modes. The proposed method reduces the bit rate by approximately 2.5% compared with H.264/AVC, without the degradation of video quality. 相似文献
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Jianwen Chen John Villasenor Yun He Gang Luo 《Journal of Visual Communication and Image Representation》2013,24(8):1443-1449
For H.264/AVC encoding, the mode selection process consumes a large proportion of the overall computation. To reduce this burden, various fast mode decision algorithms have been proposed. The current fast mode decision algorithms usually exploit the relationship among the coding modes and use the context-based approach to reduce the number of modes to be checked for both intra coding and inter coding. The parallel capacity of hardware architectures are also taken into consideration. However, almost all the parallel fast mode decision designs are focusing on intra coding. In this paper, a hardware friendly parallel fast inter mode decision method is proposed. With the proposed method, the inter mode decision can be conducted efficiently in one pass and significant encoding speedup can be achieved with negligible coding efficiency loss. Moreover, the proposed method can be easily mapped to hardware architecture which can be used for the real-time video encoding. 相似文献
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Transparent encryption of video content requires to provide a video preview that is left in plaintext, while the enhancement information is encrypted. In this paper we propose three algorithms that provide transparent encryption. The first two ones are based on the idea of generating controlled drift in such a way as to obtain the desired quality level, while the third algorithm employs scalable video coding. We provide experimental results on several video sequences, as well as a security analysis, showing that the proposed algorithms provide an effective framework to perform transparent encryption. 相似文献
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Yi-Hau Chen Tung-Chien Chen Shao-Yi Chien Yu-Wen Huang Liang-Gee Chen 《Journal of Signal Processing Systems》2008,53(3):335-347
The H.264/AVC Fractional Motion Estimation (FME) with rate-distortion constrained mode decision can improve the rate-distortion
efficiency by 2–6 dB in peak signal-to-noise ratio. However, it comes with considerable computation complexity. Acceleration
by dedicated hardware is a must for real-time applications. The main difficulty for FME hardware implementation is parallel
processing under the constraint of the sequential flow and data dependency. We analyze seven inter-correlative loops extracted
from FME procedure and provide decomposing methodologies to obtain efficient projection in hardware implementation. Two techniques,
4×4 block decomposition and efficiently vertical scheduling, are proposed to reuse data among the variable block size and
to improve the hardware utilization. Besides, advanced architectures are designed to efficiently integrate the 6-taps 2D finite
impulse response, residue generation, and 4×4 Hadamard transform into a fully pipelined architecture. This design is finally
implemented and integrated into an H.264/AVC single chip encoder that supports realtime encoding of 720×480 30fps video with
four reference frames at 81 MHz operation frequency with 405 K logic gates (41.9% area of the encoder).
相似文献
Liang-Gee ChenEmail: |
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视频编码H.264/AVC新技术及其优化 总被引:1,自引:0,他引:1
本文详细介绍了视频编码新标准H.264/AVC中的运动估计和运动补偿、预测、证书变换、量化、熵编码环路滤波、帧切换等技术及其优化设计. 相似文献
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Yingliang HeGaobo Yang Ningbo Zhu 《AEUE-International Journal of Electronics and Communications》2012,66(4):305-312
A real-time dual watermarking algorithm of H.264/AVC compressed video is proposed for Video-on-Demand (VOD) service. The copyright information and user information are modulated by CDMA spreading strategies as watermark. At the encoder side, copyright information is embedded into the first non-zero coefficient of Intra 4 × 4 coded blocks in the luminance components of I frames. An effective error compensation mechanism is simultaneously introduced into the embedding process, which strictly restricts the distortion caused by quantization and watermark embedding within a step size of quantization. At the server side, a XOR based mapping rule is utilized for watermark embedding because the number of non-zero coefficients after quantization is quite less in P frames. Every two bits of the private user information is mapped to three non-zero coefficients of P frames. Experimental results on test sequences demonstrate that the proposed approach has just slight influence on bit rate and PSNR with real-time performance for VOD services, and achieves the dual purposes of copyright protection and pirate tracking. 相似文献
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一种基于H.264/AVC的帧间模式快速判决算法 总被引:4,自引:2,他引:4
新的视频编码标准H.264/AVC能够获得较高的编码效率是以增加运算复杂度为代价的,1个帧间宏块(MB)的可选编码模式包括7种块尺寸的帧间预测模式和2种块尺寸的帧内预测模式,其校验模型仅给出一种复杂的全搜索方法来确定最佳模式。本文提出一种快速模式判决算法,将全部模式进行分类,通过判别MB的一致性和比较MB的空时相关性逐类型比较,可有效减少判决的模式数量。实验结果表明,这种方法能够在保持视频质量的同时,节省约35%的编码时间。 相似文献
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Sung-Wen Wang Shu-Sian Yang Hong-Ming Chen Chia-Lin Yang Ja-Ling Wu 《Journal of Signal Processing Systems》2009,57(2):195-211
Deblocking filter is one of the most time consuming modules in the H.264/AVC decoder as indicated in many studies. Therefore,
accelerating deblocking filter is critical for improving the overall decoding performance. This paper proposes a novel parallel
algorithm for H.264/AVC deblocking filter to speed the H.264/AVC decoder up. We exploit pixel-level data parallelism among
filtering steps, and observe that results of each filtering step only affect a limited region of pixels. We call this “the limited propagation effect”. Based on this observation, the proposed algorithm could partition a frame into multiple independent rectangles with arbitrary
granularity. The proposed parallel deblocking filter algorithm requires very little synchronization overhead, and provides
good scalability. Experimental results show that applying the proposed parallelization method to a SIMD optimized sequential
deblocking filter achieves up to 95.31% and 224.07% speedup on a two-core and four-core processor, respectively. We have also
observed a significant speedup for H.264/AVC decoding, 21% and 34% on a two-core and four-core processor, respectively.
Sung-Wen Wang received his Ph.D. degree in computer science from National Taiwan University, Taipei, Taiwan, in 2008. His general research interests are in the field of digital video coding, codec-processor architecture co-design and multimedia systems optimization, especially in video coding technology optimization. Shu-Sian Yang received the B.S. and M.S. degrees in computer science and information engineering from National Taiwan University, Taiwan, in 2005 and 2007, respectively. His current research interests include video compression, image processing, and multimedia application. He is currently working at PixArt Imaging Inc., HsinChu, Taiwan as a senior engineer. Hong-Ming Chen received the B.S. degree in computer science and information engineering from National Taiwan University, Taiwan, in 2007. He is currently pursuing the M.S. degree in the same department in National Taiwan University. His current research interests include video compression, image processing, digital content analysis, and multimedia application. Chia-Lin Yang received the B.S. degree from the National Taiwan Normal University, Taiwan, R.O.C., in 1989, the M.S. degree from the University of Texas at Austin in 1992, and the Ph.D. degree from the Department of Computer Science, Duke University, Durham, NC, in 2001. In 1993, she joined VLSI Technology Inc. (now Philips Semiconductors) as a Software Engineer. She is currently an Associate Professor in the Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, R.O.C. Her research interests include energy-efficient microarchitectures, memory hierarchy design, and multimedia workload characterization. Dr. Yang is the recipient of a 2000-2001 Intel Foundation Graduate Fellowship Award and 2005 IBM Faculty Award. Ja-Ling Wu (SM ’98, Fellow ’08) received his Ph.D. degree in electrical engineering from Tatung Institute of Technology, Taipei, Taiwan, in 1986. From 1986 to 1987, he was an Associate Professor of the Electrical Engineering Department, Tatung Institute of Technology. Since 1987, he transferred to the Department of Computer Science and Information Engineering(CSIE), National Taiwan University(NTU), Taipei, where he is presently a Professor. From 1996 to 1998, he was assigned to be the first Head of the CSIE Department, National Chi Nan University, Puli, Taiwan. During his sabbatical leave (from 1998 to 1999), Prof. Wu was invited to be the Chief Technology Officer of the Cyberlink Corp. In this one year term, he involved with the developments of some well-known audio-video softwares, such as the PowerDVD. Since Aug. 2004, Prof. Wu has been appointed to head the Graduate Institute of Networking and Multimedia, NTU. Prof. Wu has published more than 200 technique and conference papers. His research interests include digital signal processing, image and video compression, digital content analysis, multimedia systems, digital watermarking, and digital right management systems. Prof. Wu was the recipient of the Outstanding Young Medal of the Republic of China in 1987 and the Outstanding Research Award three times of the National Science Council, Republic of China, in 1998, 2000 and 2004, respectively. In 2001, his paper “Hidden Digital Watermark in Images” (co-authored with Prof. Chiou-Ting Hsu), published in IEEE Transactions on Image Processing, was selected to be one of the winners of the “Honoring Excellence in Taiwanese Research Award”, offered by ISI Thomson Scientific. Moreover, his paper “Tiling Slideshow” (co-authored with his students) won the Best Full Technical Paper Award in ACM Multimedia 2006. Professor Wu was selected to be one of the lifetime Distinguished Professors of NTU, November 2006. Prof. Wu has been elected to be IEEE Fellow, since 1 January 2008, for his contributions to image and video analysis, coding, digital watermarking, and rights management. 相似文献
Ja-Ling WuEmail: |
Sung-Wen Wang received his Ph.D. degree in computer science from National Taiwan University, Taipei, Taiwan, in 2008. His general research interests are in the field of digital video coding, codec-processor architecture co-design and multimedia systems optimization, especially in video coding technology optimization. Shu-Sian Yang received the B.S. and M.S. degrees in computer science and information engineering from National Taiwan University, Taiwan, in 2005 and 2007, respectively. His current research interests include video compression, image processing, and multimedia application. He is currently working at PixArt Imaging Inc., HsinChu, Taiwan as a senior engineer. Hong-Ming Chen received the B.S. degree in computer science and information engineering from National Taiwan University, Taiwan, in 2007. He is currently pursuing the M.S. degree in the same department in National Taiwan University. His current research interests include video compression, image processing, digital content analysis, and multimedia application. Chia-Lin Yang received the B.S. degree from the National Taiwan Normal University, Taiwan, R.O.C., in 1989, the M.S. degree from the University of Texas at Austin in 1992, and the Ph.D. degree from the Department of Computer Science, Duke University, Durham, NC, in 2001. In 1993, she joined VLSI Technology Inc. (now Philips Semiconductors) as a Software Engineer. She is currently an Associate Professor in the Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, R.O.C. Her research interests include energy-efficient microarchitectures, memory hierarchy design, and multimedia workload characterization. Dr. Yang is the recipient of a 2000-2001 Intel Foundation Graduate Fellowship Award and 2005 IBM Faculty Award. Ja-Ling Wu (SM ’98, Fellow ’08) received his Ph.D. degree in electrical engineering from Tatung Institute of Technology, Taipei, Taiwan, in 1986. From 1986 to 1987, he was an Associate Professor of the Electrical Engineering Department, Tatung Institute of Technology. Since 1987, he transferred to the Department of Computer Science and Information Engineering(CSIE), National Taiwan University(NTU), Taipei, where he is presently a Professor. From 1996 to 1998, he was assigned to be the first Head of the CSIE Department, National Chi Nan University, Puli, Taiwan. During his sabbatical leave (from 1998 to 1999), Prof. Wu was invited to be the Chief Technology Officer of the Cyberlink Corp. In this one year term, he involved with the developments of some well-known audio-video softwares, such as the PowerDVD. Since Aug. 2004, Prof. Wu has been appointed to head the Graduate Institute of Networking and Multimedia, NTU. Prof. Wu has published more than 200 technique and conference papers. His research interests include digital signal processing, image and video compression, digital content analysis, multimedia systems, digital watermarking, and digital right management systems. Prof. Wu was the recipient of the Outstanding Young Medal of the Republic of China in 1987 and the Outstanding Research Award three times of the National Science Council, Republic of China, in 1998, 2000 and 2004, respectively. In 2001, his paper “Hidden Digital Watermark in Images” (co-authored with Prof. Chiou-Ting Hsu), published in IEEE Transactions on Image Processing, was selected to be one of the winners of the “Honoring Excellence in Taiwanese Research Award”, offered by ISI Thomson Scientific. Moreover, his paper “Tiling Slideshow” (co-authored with his students) won the Best Full Technical Paper Award in ACM Multimedia 2006. Professor Wu was selected to be one of the lifetime Distinguished Professors of NTU, November 2006. Prof. Wu has been elected to be IEEE Fellow, since 1 January 2008, for his contributions to image and video analysis, coding, digital watermarking, and rights management. 相似文献