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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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Transmission-Constrained Consensus of Multiagent Networks

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IEEE Transactions on Control of Network Systems 2023年第3期10卷 1484-1495页

作者： Wang, Xiaotian Su, Housheng Huazhong University of Science and Technology School of Artificial Intelligence and Automation Hubei430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan430074 China

This article studies the consensus problem for multiagent systems with transmission constraints. A novel model of multiagent systems is proposed where the information transmissions between agents are disturbed by irregular distortions or interferences (named transmission constraint functions), and this model is universal which can be applied in many cases, such as interval consensus and discarded consensus. In the transmission-constrained consensus problem, we obtain the necessary and sufficient condition that agents can converge to state consensus. Furthermore, a more general case is studied in which the system reaches an equilibrium. Based on some techniques of stability theory, the existence, uniqueness, and stability of the system equilibrium point can be proven, which means the system can reach an asymptotically stable equilibrium. Moreover, the state values of the equilibrium are only decided by the network structure and transmission constraint functions but not the agents' initial states. Finally, numerical simulations are presented to illustrate the proposed theorems and corollaries. © 2014 IEEE.

关键词： Multi agent systems

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Error concealment for stereoscopic images using mode selection

Error concealment for stereoscopic images using mode selecti...

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International Symposium on Intelligent Signal processing and communications Systems

作者： Song, Lijuan Zhu, Xiuchang State Grid Electric Power Research Institute Nanjing 210003 China Jiangsu Province Key Lab. on Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9781424473717

In this paper, a novel error concealment (EC) method for compressed stereoscopic image pairs is presented, which contains a new binocular EC mode and an improved monocular EC mode. The proposed algorithm selects appropriate EC mode to conceal the error block (EB) in the stereoscopic image according to the local characteristic of the EB. The experimental results demonstrate that the proposed scheme has good subjective and objective EC performance in stereoscopic images as compared to monocular mode. © 2010 IEEE.

关键词： Errors

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Efficient Rate Control Algorithm for Multi-view Video Coding

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China communications 2011年第3期8卷 83-89页

作者：刘峰熊婕范晶晶林琼洁 Image Processing & Image Communication Key Lab of Jiangsu Province Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of Posts and Telecommunications) Ministry of Education

Rate control is one of the key factors influencing the multi-view video ***,there is not a rate control algorithm in the existing Joint Multi-view Video Coding *** this paper,an efficient rate control algorithm and a bit allocation strategy for multi-view video coding are *** order to obtain the consistent view quality,a bit allocation model based on the Lagrange optimum algorithm is firstly ***,considering the encoding statistical characteristics of different view types,a view weighting factor is introduced,and it will help improve the precision of bit allocation among *** with the fixed QP control strategy,experiment results show that the proposed algorithm can efficiently control the bit rate and obtain more consistent views,with video visual quality improved.

关键词： rate control rate distortion bit allocation view weighting factor

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Salient object detection via color contrast and color distribution

Salient object detection via color contrast and color distri...

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11th Asian Conference on Computer Vision, ACCV 2012

作者： Fu, Keren Gong, Chen Yang, Jie Zhou, Yue Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai 200240 China

ISBN: (纸本)9783642373305

In this paper, we take the advantages of color contrast and color distribution to get high quality saliency maps. The overall procedure flow of our unified framework contains superpixel pre-segmentation, color contrast and color distribution computation, combination, final refinement and then object segmentation. During color contrast saliency computation, we combine two color systems and then introduce the using of distribution prior before saliency smoothing. It works to select correct color components. In addition, we propose a novel saliency smoothing procedure that is based on superpixel regions and is realized in color space. This processing step leads to total object being highlighted evenly, contributing to high quality color contrast saliency maps. Finally, a new refinement approach is utilized to eliminate artifacts and recover unconnected parts in the combined saliency maps. In visual comparison, our method produces higher quality saliency maps which stress out the total object meanwhile suppress background clutters. Both qualitative and quantitative experiments show our approach outperforms 8 state-of-the-art methods, achieving the highest precision rate 96% (3% improvement from the current highest), when evaluated via one of the most popular data sets [1]. Excellent content-aware image resizing also can be achieved with our saliency maps. © 2013 Springer-Verlag.

关键词： Superpixels

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A trifocal tensor calculation method based on simulated annealing algorithm

A trifocal tensor calculation method based on simulated anne...

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IET International Conference on Information Science and Control Engineering 2012 (ICISCE 2012)

作者： Jie Li Feng Liu Image Processing and Image Communication Jiangsu Key Laboratory Nanjing University of Posts and Telecommunications China

ISBN: (纸本)9781629939254

The role of trifocal tensor in three views is similar to basic matrix in two views. It includes projective geometric relations among the three views which do not depend on the structure of the scenery. According to the traditional trifocal tensor calculation. The algorithm precision relies on initial value selection and lacks robustness. The calculation is very complex but the results are not accurate. This paper puts forward a trifocal tensor calculation method based on simulated annealing algorithm. This method overcomes the problem of local minimum and initial value dependence in the majorization process by optimizing the pole coordinates and error through the method of simulated annealing algorithm, and it can get the global optimal solution. Matlab simulation experiment results show that the proposed trifocal tensor calculation method based on simulated annealing algorithm is correct and effective.

关键词： error optimization simulated annealing algorithm trifocal tensor simulated annealing algorithm trifocal Tensor computational methods

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Parsing collective behaviors by hierarchical model with varying structure

Parsing collective behaviors by hierarchical model with vary...

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20th ACM International Conference on Multimedia, MM 2012

作者： Zhang, Cong Yang, Xiaokang Zhu, Jun Lin, Weiyao Institute of Image Communication and Network Engineering Shanghai Key Labs. of Digital Media Processing and Communication Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781450310895

Collective behaviors are usually composed of several groups. Considering the interactions among groups, this paper presents a novel framework to parse collective behaviors for video surveillance applications. We first propose a latent hierarchical model (LHM) with varying structure to represent the behavior with multiple groups. Furthermore, we also propose a multi-layer-based (MLB) inference method, where a sample-based heuristic search (SHS) is introduced to infer the group affiliation. And latent SVM is adopted to learn our model. With the proposed LHM, not only are the collective behaviors detected effectively, but also the group affiliation in the collective behaviors is figured out. Experiment results demonstrate the effectiveness of the proposed framework. © 2012 ACM.

关键词： Heuristic algorithms

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Human body motion tracking based on quantum-inspired immune cloning algorithm

Human body motion tracking based on quantum-inspired immune ...

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MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Han, Hong Yue, Lichuan Jiao, Licheng Wu, Xing Key Laboratory of Intelligent Perception and Image Understanding Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9780819478078

In a static monocular camera system, to gain a perfect 3D human body posture is a great challenge for Computer Vision technology now. This paper presented human postures recognition from video sequences using the Quantum-Inspired Immune Cloning Algorithm (QICA). The algorithm included three parts. Firstly, prior knowledge of human beings was used, the key joint points of human could be detected automatically from the human contours and skeletons which could be thinning from the contours;And due to the complexity of human movement, a forecasting mechanism of occlusion joint points was addressed to get optimum 2D key joint points of human body;And then pose estimation recovered by optimizing between the 2D projection of 3D human key joint points and 2D detection key joint points using QICA, which recovered the movement of human body perfectly, because this algorithm could acquire not only the global optimal solution, but the local optimal solution. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Kalman filters

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Epileptogenic Region Detection Based on Deep CNN with Transfer Learning 11

Epileptogenic Region Detection Based on Deep CNN with Transf...

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11th IEEE International Conference on Advanced Infocomm Technology, ICAIT 2019

作者： Qu, Guiguo Yuan, Qi Shandong Normal University Shandong Province Key Laboratory of Medical Physics and Image Processing Technology Jinan250358 China

ISBN: (纸本)9781728147789

The Epileptic seizure can be detected using Electroencephalogram (EEG) signals. It is important for the detection of Epilepsy disease that the detection of epileptogenic region in brain. The focal signal is the signals which from epileptogenic region in brain and the non-focal signal is the signals which from normal regions in brain. Hence, It is important for Epilepsy to detect the focal signal. This paper proposes an automatic detection and diagnosis of EEG signals for Epilepsy disease based on deep learning structure and transfer learning. However, the EEG datasets are usually too small to train the entire deep learning structure. It is easy to be trapped into overfitting during training. Therefore, the transfer learning was introduced to train the deep neural network. Firstly, we obtained the pre-trained AlexNet structure. Then, the parameters of the last three layers were replaced with random weights and the rest parameters served as the initial values. Finally, we used the EEG dataset to train the modified model. Experimental results show that the method attained accuracy of 95.00%, which outperformed state-of-the-art approaches. © 2019 IEEE.

关键词： Electroencephalography

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An example-based method in multi-frame super resolution

An example-based method in multi-frame super resolution

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Asia-Pacific Signal and Information processing Association Annual Summit and Conference 2011, APSIPA ASC 2011

作者： Zhu, Yu Zhang, Yanning Li, Haisen Shaanxi Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China

In this paper, a two-stage super resolution method that combines the multi-frame and example-based methods is proposed. Traditionally, the multi-frame super resolution method only utilizes the continuity prior and complementary information among the low-resolution(LR) images with sub-pixel misalignment. While the example-based method digs the prior from abundant training images, but performs low ability to process the severe blurring image. So in our paper, firstly, the sequence is processed by the traditional fast and robust super resolution method to enhance the definition. Then, in the second stage, the high-resolution feature (HRF)/high-resolution(HR) dictionary pairs is prepared. The near-high-resolution image acquired in the former stage is split into overlapped patches, then sparse coded to the HRF dictionary, and linear combined with the HR dictionary atoms. The experiments on the synthetic and real image sequence prove that the proposed method outstands from the other methods.

关键词： Optical resolving power

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