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Motion attention based frame-level bit allocation scheme for H.264 09

Motion attention based frame-level bit allocation scheme for...

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1st International Conference on Internet Multimedia Computing and Service, ICIMCS 2009

作者： Shen, Liquan Liu, Zhi Zhang, Zhaoyang Yan, Hongbo Key Lab. of Advanced Display and System Application Ministry of Education Shanghai University China

ISBN: (纸本)9781605588407

Rate control plays a major role in video coding and multimedia streaming. A well-designed rate control scheme should pursue both the objective quality and subjective quality. However, existing H.264 rate control algorithms mainly aim at improving the objective quality without consideration the perception of human view system (HVS). In this paper, we propose a novel rate control algorithm based on local motion attention. The bits allocated to each frame are proportional to the local motion activity in it, and more bits are allocated to the frame with strong local motion attention. Experiment results show that our method not only enhances the coding quality in the frames with strong local motion attention but also reduces the temporal PSNR fluctuation across frames up to 22.15%. Copyright 2009 ACM.

关键词： Image coding

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An adaptive and fast H.264 multi-frame selection algorithm based on information from previous searches

An adaptive and fast H.264 multi-frame selection algorithm b...

引用

IEEE International Conference onMultimedia and Expo, ICME 2007

作者： Liquan, Shen Zhi, Liu Zhaoyang, Zhang Xuli, Shi Key Lab. of Advanced Display and System Application Ministry of Education Shanghai University Shanghai 200072 China

ISBN: (纸本)1424410177

The H.264 video coding standard adopts multiple reference frames for motion estimation. This new feature improves the prediction accuracy of inter-coding blocks significantly, but it results in a considerable increase in encoder complexity, mainly regarding to multi-frame selection and motion estimation. The reference software JM adopts the full search scheme, and the increased computation is in proportion to the number of searched reference frames. However, the reduction of prediction residues is highly dependent on the nature of sequences, not on the number of searched frames. In this paper, we propose an adaptive and fast multi-frame selection algorithm (AFMFS) based on motion vectors and SAD information coming from previous searches to adaptively terminate the procedure of multiple reference frames selection. Compared with the full search algorithm and the flexible multi-reference frame search criterion (FMRFSC), simulation results show that the proposed algorithm can save 55.28% and 40.23% computation cost on average, respectively, while it still maintains similar coding efficiency. © 2007 IEEE.

关键词： Motion estimation

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DEPTH UPSAMPLING METHOD VIA MARKOV RANDOM FIELDS WITHOUT EDGE- MISALIGNED ARTIFACTS

DEPTH UPSAMPLING METHOD VIA MARKOV RANDOM FIELDS WITHOUT EDG...

引用

IEEE International Conference on Image Processing

作者： Yifan Zuo Ping An Shuai Zheng Zhaoyang Zhang Key Lab. of Advance Display and System Application Ministry of Education Shanghai University

ISBN: (纸本)9781479983407

Recently, the widely use of time-of-flight sensors captures depth information for dynamic scenes in real time, which promotes the developing of many 3D image or video processing applications. However, such depth maps are noisy and have low resolutions. In this paper, we propose an edge-based depth map super-resolution method via solving a lab.ling optimization problem in MRF. The inputs are low quality depth map and the according high-resolution color image. The proposed method not only avoids the texture-copy artifacts, but also preserves the edges of depth which do not exist in the color image. We compare our algorithm with the state of the art on the benchmark dataset. The experimental results prove the validity and robustness of our approach.

关键词： Depth map upsampling Markov Random Field (MRF) Depth recovery color image Three-Dimensional Images Noise BENCHMARKS state of the art STRUCTURE MAP

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Object segmentation using graph cuts for the H.264 compressed video with moving background

Object segmentation using graph cuts for the H.264 compresse...

引用

2008 11th IEEE International Conference on Communication Technology, ICCT 2008

作者： Lu, Yu Zhang, Zhaoyang Liu, Zhi Shi, Xuli School of Communication and Information Engineering Shanghai University Shanghai China Key Lab. of Advanced Display and System Application Ministry of Education Shanghai University Shanghai China

ISBN: (纸本)9781424422517

This paper proposed a novel approach to segment objects from the H.264 compressed video with moving background. At first, the noisy motion vectors are eliminated from the motion field by vector median filtering. Then the predicted motion field reconstructed by backward estimation is used to accumulate the motion field, which is followed by global motion compensation. After that, the hypothesis testing is used for initial region classification. Finally, the graph cuts technique is applied to partition objects by minimizing the energy function formulated by the model of Markov Random Field. The experimental results demonstrate efficient performance and good segmentation quality of the proposed method. © 2008 IEEE.

关键词： Median filters

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Improved H.264 GOP-level bit allocation by incremental PID algorithm

Improved H.264 GOP-level bit allocation by incremental PID a...

引用

IET Conference on Wireless, Mobile and Sensor Networks 2007, CCWMSN'07

作者： Shen, Liquan Zhang, Zhaoyang Li, Ying Liu, Zhi Key Lab. of Advanced Display and System Application Ministry of Education Shanghai Univ. Shanghai 200072 China School of Computer Engineering and Science Shanghai University Shanghai 200072 China

ISBN: (纸本)9780863418365

Since the current rate control schemes in H.264 do not present the capability of efficient GOP-level bit allocation, the video quality varies greatly for sequences with the scene change or the scene complexity varying from one GOP to another. To overcome the limitation, we propose a novel rate control scheme based on incremental PID algorithm. The incremental PID algorithm is introduced to minimize video quality variations in GOP-level bit allocation. Extensive simulation results show that the proposed rate control scheme, without expensive computational complexity added, decreases the average video quality variations by 15.07%.

关键词： Quality control

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PERCEPTUAL MULTIVIEW VIDEO CODING BASED ON FOVEATED JUST NOTICEABLE DISTORTION PROFILE IN DCT DOMAIN

PERCEPTUAL MULTIVIEW VIDEO CODING BASED ON FOVEATED JUST NOT...

引用

IEEE International Conference on Image Processing

作者： Xiwu Shang Yongfang Wang Lidong Luo Zhaoyang Zhang School of Communication and Information Engineering Shanghai University Shanghai China Key Lab. of Advance Display and System Application Ministry of Education Shanghai University Shanghai China

ISBN: (纸本)9781479923427

Recently just noticeable distortion (JND) has been highly successful in improving the video coding efficiency. Foveated JND (FJND) is an extension of the JND by further exploiting the human vision characteristic. However, there is a challenge to quickly estimate the foveation point and accurately combine the foveation factor with the spatio-temporal JND model of DCT domain for FJND. In this paper, a new FJND model in DCT domain is proposed, which adaptively searches the foveation point by exploiting the property of image signature and builds a foveation model based on the contrast threshold. Experimental results demonstrate that the proposal model remarkably reduces the complexity of FJND in searching foveation. In a number of video coding experiments, we find that, in terms of coding efficiency, the proposed perceptual coding based on FJND for multiview video coding (MVC) significantly outperforms the existing algorithm.

关键词： just noticeable distortion foveation multiview video coding

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Improved H.264 GOP-level bit allocation by incremental PID algorithm

Improved H.264 GOP-level bit allocation by incremental PID a...

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2007 IET Conference on Wireless, Mobile and Sensor Networks (CCWMSN07)

作者： Liquan Shen Zhaoyang Zhang Ying Li Zhi Liu Key Lab. of Advanced Display and System Application Ministry of Education Shanghai Univ. 200072 China School of Computer Engineering and Science Shanghai University Shanghai China

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