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International Journal of Digital Content Technology and its Applications 2012年第4期6卷 141-149页

作者： Wu, Minghu Zhu, Xiuchang Gan, Zongliang Li, Xin Jiangsu Province Key Lab on Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing China School of Electrical and Electronic Enginesering Hubei University of Technology Wuhan China

Compressive sensing (CS) is a new technique for data sampling and compression simultaneously. In this paper, we propose a novel distributed video coding algorithm with dynamic measurement rate allocation based on compressive sensing principles, where almost all computation burdens can be shifted to the decoder, resulting in a very low-complexity encoder. So the proposed algorithm can be useful in those video applications that require very low complex encoders. At the decoder, the compressed video can be efficiently reconstructed with adaptive dictionary learning. The simulation results show that the proposed algorithm outperforms the distributed compressive video sensing with non-adaptive learning local dictionary and global dictionary.

关键词： Compressed sensing

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Prediction of tourists flow distribution based on transition probability matrix

Prediction of tourists flow distribution based on transition...

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International Conference on Information Science and Digital Content Technology

作者： Yuting Hu Rong Xie Wenjun Zhang Yi Xu Institute of Image Communication and Information Processing Shanghai Digital Media Processing and Transmission Key Lab Shanghai Jiaotong University China

ISBN: (纸本)9781467312882

A new prediction algorithm of tourists flow distribution based on transition probability matrix (TPM) is proposed in this paper. In order to analyze the visitor transition-behavior and the tourists distribution model, the tourists flow distribution of 5 zones at Shanghai Expo site is predicted based on the TPM, which is estimated by use of multivariate linear regression in optimization. The extensive experimental results verify the efficiency and the correctness of the proposed algorithm over the wavelet neural network prediction method.

关键词： TRANSITION PROBABILITIES tourists flow field third-party maintenance Prediction algorithms Linear Regression accuracy class

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Real-time position estimation and tracking of a basketball

Real-time position estimation and tracking of a basketball

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2012 IEEE International Conference on Signal processing, Computing and Control, ISPCC 2012

作者： Chakraborty, Bodhisattwa Meher, Sukadev Digital Image and Speech Processing Lab National Institute of Technology Rourkela Odisha 769008 India Dept. of Electronics and Communication Engineering National Institute of Technology Rourkela Odisha 769008 India

ISBN: (纸本)9781467313179

In this paper, an algorithm to detect the position of a basketball in a real time outdoor video is proposed. The problem of ball detection in sports video arises due to the occlusion of the ball with the players, the presence of many moving objects like spectators, flags, twigs and branches of the tree etc. The ball image is also getting distorted due to the high speed of the ball. Thus the conventional direct detection and tracking algorithm fails in various occasions. It is much advantageous to study the trajectory information of a ball and estimate the ball location using the trajectory information. In this trajectory based algorithm, firstly the ball like objects are detected and a set of ball candidates are generated for each frame. Then the set of candidate trajectories are plotted. From these potential trajectories, the actual ball trajectory is estimated by studying the trajectory information. The missing ball location in any frame can also be predicted by trajectory interpolation technique. In this paper, we also propose an efficient background detection method using the approximate median value of the background pixels, thus achieving a high degree of segmentations of the moving objects in the foreground. This algorithm provides excellent result under a high degree of occlusion and works satisfactorily in the presence of many moving objects along with the ball in the scene. © 2012 IEEE.

关键词： Trajectories

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Design of M-channel uniform linear-phase filter banks with near-perfect-reconstruction property

Design of M-channel uniform linear-phase filter banks with n...

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2012 3rd IEEE/IET International Conference on Audio, Language and image processing, ICALIP 2012

作者： Zhong, Wei Xie, Xuemei Shi, Guangming Peng, Bin Zhang, Qin Key Lab. of Media Audio and Video of Ministry of Education Communication University of China Beijing China Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education Xidian University Xi'an China

ISBN: (纸本)9781467301718

In this paper, we propose a simple but effective method for the design of M-channel uniform linearphase (LP) filter banks. We are mainly concerned with the significant aliasing caused by the two adjacent filters, leading to a near-perfect-reconstruction (NPR) system. With some assumptions, a matching condition is derived for efficient aliasing cancellation. By using the proposed design criteria to construct each filter, the requirements imposed on the entire filter bank become those on individual filters. It greatly simplifies the design of NPR uniform LP filter banks and no objective function in the optimization is explicitly required. In addition, the proposed method is more general with no limitation on the channel number and filter length. As illustrated by examples, the proposed method can provide a simple and efficient alternative for designing NPR uniform filter banks with the expected LP property. © 2012 IEEE.

关键词： Filter banks

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Error concealment techniques for video transmission over error-prone channels: a survey

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Journal of Computational Information Systems 2012年第21期8卷 8807-8818页

作者： Cui, Ziguan Gan, Zongliang Zhan, Xuefeng Zhu, Xiuchang Image Processing and Image Communication Lab Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of 'Broadband Wireless Communication and Sensor Network Technology' Nanjing University of Posts and Telecommunications Ministry of Education China Institute of Physics and Communication Electronics Jiangxi Normal University Nanchang 330027 China

Efficient video transmission over unreliable channels may encounter huge challenge due to unavoidable bit error or packets loss. Error concealment (EC) techniques at the decoder side have been developed to recover the damaged regions utilizing spatial or temporal redundant information without changing the encoder structure or adding extra bandwidth. In this work the classic EC techniques and their developments are first reviewed, high-level semantics based EC schemes are also surveyed, and then the emphasis is focused on new EC features introduced by H.264/AVC. Finally, the challenges and future development directions in EC for advanced video coding schemes such as scalable video coding (SVC), multiple description coding (MDC), multi-view video coding (MVC) and stereo video coding are prospected, and future research directions are also indicated according to the current research status and existent problems. © 2012 Binary Information Press.

关键词： Scalable video coding

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image super-resolution based on a novel edge sharpness prior

Image super-resolution based on a novel edge sharpness prior

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International Conference on Pattern Recognition

作者： Qing Yan Yi Xu Xiaokang Yang Kai Chen The Institute of Image Communication and Information Processing Shanghai Key Laboratory of Digital Media Processing and Transmition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781467322164

Edges are of significant importance in visual resolution perception. In this paper, we propose a novel image super-resolution method by enhancing the edges in the low resolution image. We first define a new edge sharpness feature: gradient profile sharpness (GPS), which considers both the absolute magnitude and the spatial scattering of edge gradient profile. Then we learn the relationship between GPSs in high resolution images and low resolution images, and we formulate a linear GPS transform to provide gradient prior for image reconstruction. Our GPS can represent edge sharpness perceptually well. And our super-resolution method can output harmonious and faithful images with better reconstruction quality.

关键词： image edge detection Global Positioning System Spatial resolution Transforms Scattering image reconstruction

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A new no-reference stereoscopic image quality assessment based on ocular dominance theory and degree of parallax

A new no-reference stereoscopic image quality assessment bas...

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International Conference on Pattern Recognition

作者： Ke Gu Guangtao Zhai Xiaokang Yang Wenjun Zhang Institute of Image Communication and Information Processing Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiaotong University Shanghai China

In recent years, while stereoscopic images were becoming widely applied and the corresponding technologies were substantially developed, very few stereoscopic image quality assessment metrics were proposed, especially under the condition that there is no reference image available. This paper proposes a new no-reference stereoscopic image quality assessment algorithm based on the ocular dominance theory and degree of parallax. All of our tests using the Toyama database draw two valuable conclusions. First, the performances of stereoscopic image quality assessment methods are significantly affected by difference of image qualities between the left and right images. Second, to offset the discriminations of different degrees of parallax caused by various 3D image contents is required indeed. Experiments and comparative studies are provided to confirm the effectiveness of our proposed new stereoscopic image quality metric.

关键词： Stereo image processing image quality Measurement Indexes Transform coding image coding Visualization

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Robust object tracking with bidirectional corner matching and trajectory smoothness algorithm

Robust object tracking with bidirectional corner matching an...

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IEEE Workshop on Multimedia Signal processing

作者： Guoshan Wu Yi Xu Xiaokang Yang Qing Yan Ke Gu Institute of Image Communication and Information Processing Shanghai Key Laboratoryof Digital Media Processing and Transmissions Shanghai JiaoTong University Shanghai China

This paper proposes a novel method for robust object tracking. The method consists of three different components: a short term tracker, an object detector, and an online object model. For the short term tracker, we use an advanced Lucas Kanade tracker with bidirectional corner matching to capture object frame by frame. Meanwhile, statistical filtering and matching algorithm combined with haar-like feature random fern play as a detector to extract all possible object candidates in the current frame. Making use of trajectory information, the online object model decides the best target match among the candidates. And the model also trains the random fern feature adaptively online to better guide consecutive tracking. We demonstrate our method is robust to track an object in a long term and under large variations of view angle and lighting conditions. Moreover, our method is efficient to re-detect the object and keep tracking even after it's out of view or recover from heavy occlusion. To achieve state-of-the-art performance, it is highlighted that our method can be extended to multiple objects tracking application. Finally, comparisons with other state-of-the-art trackers are presented to show the robustness of our tracker.

关键词： Target tracking Trajectory Detectors Robustness Feature extraction Computer vision

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Recognizing Human Group Behaviors with Multi-group Causalities

Recognizing Human Group Behaviors with Multi-group Causaliti...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Cong Zhang Xiaokang Yang Weiyao Lin Jun Zhu Institute of Image Communication and Network Engineering Shanghai Key Laboratories of Digital Media Processing and Communication Shanghai Jiaotong University Shanghai China

Human group behaviors are usually composed of several sub-groups. Considering the interaction between groups, this paper presents an algorithm to recognize human group behavior with multi-group causalities. It has two main contributions: (1) we introduce inter-group causality to reflect the interaction between human groups, (2) an improved coding scheme (i.e. Locality-constrained Linear Coding) is used for encoding the causality to go beyond Vector Quantization (VQ). Finally, a simple linear SVM is adopted to learn this model. Our experiment results demonstrate that inter-group causality feature and LLC methods can significantly boost behavior recognition performance.

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Dynamic integral sliding mode for launch vehicle attitude control system

Dynamic integral sliding mode for launch vehicle attitude co...

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Chinese Control and Decision Conference, CCDC

作者： Zirui Wang Lei Liu Yongji Wang Zhishen Wang Key Lab for Image Processing & Intelligent Control Huazhong University of Science & Technology Wuhan China

As it is known that launch vehicle is facing a very harsh environment during the fight process. The challenge of various perturbations and uncertainties has lead to many traditional control methods' failure to meet the requirements of attitude control system. Due to the main advantage of sliding mode control's robustness to the system uncertainties and disturbances in the so-called sliding mode, it has been widely used in engineering. In this paper, regarding particularly on chattering problem, the authors developed a novel dynamic integral sliding mode control scheme and the comparative simulation results carried out with traditional dynamic integral sliding mode demonstrates the superiority of the newly designed control law.

关键词： Sliding mode control Rockets Attitude control Simulation Vehicle dynamics Vehicles

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