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13th International Forum of Digital TV and Wireless Multimedia communication, IFTC 2016

作者： Yang, Shuying Yang, Hua Li, Jijia Zhu, Ji Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai China

ISBN: (纸本)9789811042102

For public security, an intelligent video surveillance system that can analyze large-scale crowd scenes has become an urgent need. In this paper, we propose a system that integrates multiple crowd properties, including stationary and dynamic features, local and global characteristics, and historic statistics analysis in a unified framework. Specially our system consists of four modules. Crowd density module describes global density level and local density distribution with sparse spatial-temporal local binary pattern. Crowd segmentation module presents both global crowd grouping and local moving directions based on spatial-temporal dynamics. In crowd saliency module, salient regions are detected to alarm abnormal behaviors. At last, in order to analyze the historic features of video streaming, a historical statistics analysis module is introduced. Experiments on different crowd datasets show that our system is robust and feasible, and satisfies the requirements of video surveillance applications. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Local binary pattern

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Adaptive resampling in particle filter based on diversity measures

Adaptive resampling in particle filter based on diversity me...

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International Conference on Computer Science and Education

作者： Yu, Jin-Xia Liu, Wen-Jing Tang, Yong-Li College of Computer Science and Technology Henan Polytechnic University Jiaozuo 454003 China Jiangsu Provincial Key Lab. of Image Processing and Image Communication Nanjing University of Posts and Communication Nanjing 210003 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9781424460052

It is very important to find a criterion when to perform a resampling step. Aimed at this problem, an adaptive resampling algorithm in particle filter based on diversity measures is presented. Based on the analysis and comparison of two diversity measures that are effective sample size (ESS) and population diversity factor(PDF), the resampling algorithm based on ESS is introduced. On the basis of that, PDF is used for adaptively tuning the resampling threshold. At last, with the simulation program using matlab 7.0 to track a single target motion from a fixed visual observation points, the performance of the proposed algorithm is evaluated and its validity is verified. ©2010 IEEE.

关键词： MATLAB

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image super-resolution based on sparse representation and nonlocal regularization

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Journal of Computational Information Systems 2014年第5期10卷 2107-2116页

作者： Li, Xin Zhu, Xiuchang Jiangsu Province Key Lab. on Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing 210003 China

To solve the super-resolution reconstruction problem for single-frame image, an algorithm based on sparse representation and nonlocal regularization is proposed. By training the joint dictionaries, this algorithm looks for sparse representation in low-resolution dictionary for the input low-resolution image patch, and maps the sparse representation to high-resolution dictionary to construct high-resolution image patch. Then the reconstructed image patch is further regularized by the image's nonlocal self-similarity a priori information. Experimental results show that this algorithm can effectively ensure the quality of the reconstructed image, and greatly reduce the computation time. © 2014 Binary Information Press.

关键词： image reconstruction

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Pixel classified colourisation method based on neighbourhood similarity priori

Pixel classified colourisation method based on neighbourhood...

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作者： Chen, Jie Gan, Zongliang Zhu, Xiuchang Wang, Jin Jiangsu Province Key Lab on Image Processing and Image Communication Nanjing University of Post and Telecommunications P.O. Box 166 No. 66 Xin Mofan Road Nanjing Jiangsu China College of Information Engineering Yangzhou University No. 88 South University Ave Yangzhou Jiangsu China

Colourisation is a kind of computer-aided technology which automatically adds colours to greyscale images. This paper presents a scribble-based colourisation method which treats the flat and edge pixels differently. First, we classify the pixels to flat or edge pixel categories using the neighbourhood similarity pixels searching algorithm. Then, we compute the weighted coefficients of the edge pixels by solving a constraint quadratic programming problem and compute the weighted coefficients of the flat pixels based on their luminance distances. Finally, we transmit the weighted coefficients to the chrominance images according to the joint correlation property between luminance and chrominance channels, and combine with the colours scribbled on by the user to compute all the unknown colours. The experimental results show that our method is effective especially on reducing colour bleeding in the boundary parts and can give better results when only a few colours are scribbled on. © 2018 Inderscience Enterprises Ltd.

关键词： Quadratic programming

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Video smoke removal based on low-rank tensor completion via spatial-temporal continuity constraint

Video smoke removal based on low-rank tensor completion via ...

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作者： Zhu, Hu Xu, Guoxia Liu, Lu Deng, Lizhen Jiangsu Province Key Lab on Image Processing and Image Communication Nanjing University of Posts and Telecommunication Nanjing China Department of Computer Science Norwegian University of Science and Technology Gjovik Norway National Engineering Research Center of Communication and Network Technology Nanjing University of Posts and Telecommunication Nanjing China

Smoke has a very bad effect on the outdoor vision system. Not only are the videos with poor visual effects obtained, but also the quality and structure of the videos are reduced. In this paper, we propose a video smoke removal method based on low-rank tensor completion via spatial-temporal continuity constraint. The proposed method is based on the smoke mixing model and consider the sparseness of smoke and the global and local consistency of clean video. Then, the optimal solution of the smoke removal algorithm model is quickly realized by the Alternating Direction Method of Multiplier. Finally, we evaluate the experiment results of real-world data and simulated data from the visual effects and objective indicators. And the experiment results show that our proposed algorithm can achieve better smoke removal results. © 2021 John Wiley & Sons, Ltd.

关键词： Smoke

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A novel spatial information recovery algorithm based on fuzzy clustering in H.264

A novel spatial information recovery algorithm based on fuzz...

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IEEE International Symposium on Intelligent Signal processing and communication Systems (ISPACS)

作者： Han Shen Xiu-chang Zhu Jiangsu Province Key Lab on Image Processing & Image Communication Nanjing University of Posts and Telecommunications China

As no reference frame can be obtained in Intra-frame error concealment, reducing the degradation of spatial reconstructed image is one of the key techniques in error concealment. In this paper, a novel spatial error concealment algorithm based on fuzzy clustering for Intra-frame in H.264 is proposed. This proposed algorithm gives a new selection of eigenvectors and similarity measurement for fuzzy clustering. The experimental results show that the proposed algorithm can improve the edge details, achieve a better subjective quality of the recovered image and increase PSNR (Peak Signal-to-Noise Ratio) as well.

关键词： Clustering algorithms Signal processing algorithms image reconstruction Degradation PSNR Resilience Video sequences Frequency Discrete cosine transforms Fuzzy systems

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An iterative interference cancellation approach for OFDMA uplink system

An iterative interference cancellation approach for OFDMA up...

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2010 International Conference on communications and Mobile Computing, CMC 2010

作者： Miao, Ruiqin Sun, Jun Gui, Lin Xiong, Jian Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai China China and Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9780769539898

In this paper, the issue of carrier frequency offset compensation in orthogonal frequency division multiple access (OFDMA) uplink system is investigated. To mitigate the effect of the multiple access interference (MAI) caused by the carrier frequency offset (CFO) of different users, a new iterative compensation algorithm is proposed in [6]. However, this scheme has unaffordable complexity. To tackle this problem, an efficient iterative implementation is developed in this paper based on a banded interference matrix approximation. Simulations illustrate that the proposed algorithm obtains good performance, at the same time has much lower computational complexity 1. © 2010 IEEE.

关键词： Frequency division multiple access

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Compressed video super-resolution reconstruction based on regularized algorithm

Compressed video super-resolution reconstruction based on re...

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International Conference on Signal processing Proceedings (ICSP)

作者： Xu Zhong-qiang Gan Zongliang Zhu Xiu-chang Information Industry Ministry and Jiangsu Province Key Laboratory of Image Processing & Image Communication Nanjing University of Posts and Telecommunications Nanjing China

Estimating high-resolution (HR) video from a sequence of low-resolution (LR) compressed observations is the focus of this paper. Based on the theory of regularization, this paper proposes a new form of regularized cost function to control the within-channel balance between received data and prior information, and a channel weight coefficient to control the cross-channel fidelity. The LR frames are adaptively weighted according to their reliability and the regularization parameter is simultaneously estimated for each channel with ameliorating artifacts in compressed video. An iterative gradient descent algorithm is utilized to reconstruction the HR video. Experimental results demonstrate that the proposed algorithm has an improvement in terms of both objective and subjective quality

关键词： Video compression image coding Iterative algorithms image resolution image reconstruction Cost function Discrete cosine transforms Quantization image storage Gallium nitride

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A visual comfort metric for stereoscopic 3D video based on SMDE approach

A visual comfort metric for stereoscopic 3D video based on S...

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2012 2nd IEEE International Conference on Signal processing, communications and Computing, ICSPCC 2012

作者： Ye, Bi Zhou, Jun Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai 200240 China Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781467321938

Visual comfort assessment for stereoscopic video is playing an important role for stereoscopic safety issue. In this paper, we propose a novel visual comfort assessment metric that utilizes interest regions detection approach, which is called Salient Motion Depth Extraction approach in our algorithm. In stereoscopic video shots, salient motion regions where human subjects focus on should have more weights in visual comfort assessment. To achieve better performance, our approach combines salient cues, motion cues with depth cues in order to extract salient motion regions in consideration of depth context. Our visual comfort assessment utilizes local analytical method based on attention model by analyzing disparity features in interest regions extracted by Salient Motion Depth Extraction approach. The experimental results have demonstrated that our proposed visual comfort assessment improves the correlation with the subjective assessment. © 2012 IEEE.

关键词： Extraction

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image Aligning and Stitching Based on Multilayer Mesh Deformation 16th

Image Aligning and Stitching Based on Multilayer Mesh Deform...

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16th International Forum on Digital TV and Wireless Multimedia communication, IFTC 2019

作者： Xie, Mingfu Zhou, Jun Gu, Xiao Yang, Hua Shanghai Key Laboratory of Multi Media Processing and Transmissions Shanghai Jiaotong University Shanghai China Institute of Image Communication and Network Engineering Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9789811533402

This paper aims to solve the problem of strong disparity in image stitching. By studying current mesh deformation methods based on single grid, we propose an image stitching framework based on multilayer mesh deformation for aligning regions in different layer. With development of image depth perception and semantic segmentation technology, we can get layering maps of images or photos expediently. We introduce images representation with layers and get layer corresponding by using depth or disparity information for large parallax scenarios. Registration of each layer is carried out independently. To ensure the integrity of layer synthesis results, we apply deformation with translation and scaling compensation between different layers before blending. The experiment demonstrates that our method can adequately utilize the prior information in layering maps to decouple 2D transformation between different layers, finally achieve outstanding aligning performance in all layers and naturalness in complete stitching result. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Multilayers

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