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作者： Yan, Jingjie Lu, Guanming Bai, Xiaodong Li, Haibo Sun, Ning Liang, Ruiyu Jiangsu Provincial Key Laboratory of Image Processing and Image Communication College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China Engineering Research Center of Wide Band Wireless Communication Technology Nanjing University of Posts and Telecommunications Nanjing211167 China School of Communication Engineering Nanjing Institute of Technology Nanjing211167 China

In this letter, we propose a supervised bimodal emotion recognition approach based on two important human emotion modalities including facial expression and body gesture. A effectively supervised feature fusion algorithms named supervised multiset canonical correlation analysis (SMCCA) is presented to established the linear connection between three sets of matrices, which contain the feature matrix of two modalities and their concurrent category matrix. The test results in the bimodal emotion recognition of the FABO database show that the SMCCA algorithm can get better or considerable efficiency than unsupervised feature fusion algorithm covering canonical correlation analysis (CCA), sparse canonical correlation analysis (SCCA), multiset canonical correlation analysis (MCCA) and so on. © 2018 The Institute of Electronics, Information and communication Engineers.

关键词： Emotion Recognition

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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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Edge directed single image super resolution through the learning based gradient regression estimation

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ICIC Express Letters, Part B: Applications 2016年第2期7卷 337-344页

作者： Wang, Guogang Gan, Zongliang Zhu, Xiuchang Jiangsu Provincial Key Lab of Image Processing and Image Communication Nanjing University of Posts and Telecommunications No. 66 Xinmofan Road Nanjing China

Single image super resolution (SR) aims to estimate high resolution (HR) image from the low resolution (LR) one, and estimating accuracy of HR image gradient is very important for edge directed image SR methods. In this paper, we propose a novel edge directed image SR method by learning simple priors by mapping functions. Recognizing that the training samples of the given sub-set for regression should have similar local geometric structure based on clustering, we employ high frequency of LR image patches with removing the mean value to perform such clustering. Then we learn effective mapping functions of gradient of bicubic image patches and that of HR image patches for each cluster. Experimental results suggest that the proposed method can achieve better gradient estimation of HR image and competitive SR quality compared with other SR methods. © 2016 ICIC International.

关键词： Optical resolving power

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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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Error concealment for stereoscopic images using boundary smooth degree

Error concealment for stereoscopic images using boundary smo...

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Asia-Pacific Conference on communications

作者： Guijin Tang Xiuchang Zhu Jiangsu Key Laboratory of Image Processing & Image Communication Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781424447848

Error concealment can be regarded as a sort of error resilient coding techniques. This paper proposes a method to recover lost blocks in stereoscopic images. We first utilize the correlation to perform disparity estimation to match the corresponding blocks for lost ones. And then we calculate the boundary smooth degree (BSD) for each recovered block. If BSD exceeds the threshold, it means that the boundary is discontinuous which mainly results from high detailed blocks, edge blocks or occluded blocks. So we consider neighboring blocks' BSD and estimate the content of a lost block, and adaptively use different methods to conceal it. Experimental results show that the proposed algorithm can greatly improve the subjective and objective quality of the reconstructed image.

关键词： Loss measurement image coding image reconstruction Video sequences image processing image communication Feedback Layout Video coding Newton method

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Content-Adaptive Interpolation for Spatial Error Concealment

Content-Adaptive Interpolation for Spatial Error Concealment

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International Conference on Information and Computing Science, ICIC

作者： Hua-yan Luo Zong-liang Gan Xiu-chang Zhu Jiangsu Province Key Laboratory on Image Processing & Image Communication Nanjing University of Posts and Telecommunications Nanjing China

When transmitting encoded images over a communication channel, the reconstructed image quality can be substantially degraded by channel errors. This paper presents a spatial error concealment algorithm that utilizes variance of surrounding pixels, and then classifies each error block (EB) into two categories: uniform block and edge block. For uniform block, nearest border prior spatial interpolation is adopted to restore missing pixels. We use the Wiener interpolation algorithm and special interpolation sequence for edge block. Experimental results indicate the proposed algorithm can attain well restored quality of intra-frames both subjectively and objectively. Meanwhile, the computational cost of the proposed algorithm can be significantly reduced, compared to Lipsilas method. And the restored quality is almost the same, sometimes even much better.

关键词： Interpolation image reconstruction image quality image restoration Video compression Telecommunication computing Gallium nitride image processing image communication Electronic mail

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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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Multi-factorial evolutionary algorithm based on M2M decomposition 11th

Multi-factorial evolutionary algorithm based on M2M decompos...

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11th International Conference on Simulated Evolution and Learning, SEAL 2017

作者： Mo, Jiajie Fan, Zhun Li, Wenji Fang, Yi You, Yugen Cai, Xinye Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Shantou515063 China Department of Electronic Engineering Shantou University Shantou515063 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Jiangsu210016 China

ISBN: (纸本)9783319687582

This paper proposes a decomposition-based multi-objective multi-factorial evolutionary algorithm (MFEA/D-M2M). The MFEA/D-M2M adopts the M2M approach to decompose multi-objective optimization problems into multiple constrained sub-problems for enhancing the diversity of population and convergence of sub-regions. An machine learning model augmented version is also been implemented, which utilized discriminative models for pre-selecting solutions. Experimental studies on nine multi-factorial optimization (MFO) problem sets are conducted. The experimental results demonstrated that MFEA/D-M2M outperforms the vanilla MFEA on six MFO benchmark problem sets and achieved comparable results on the other three problem sets with partial intersection of global optimal. © Springer International Publishing AG 2017.

关键词： Evolutionary algorithms

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Evaluation of bodily-kinesthetic intelligence based on computer contextual method

Evaluation of bodily-kinesthetic intelligence based on compu...

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2013 International Conference on Sport Science and Computer Science (CCCS 2013)

作者： Qi Xia Wei Wang Jun Wang College of Education Science Nanjing Normal University Key Laboratory of Image Processing and Image Communication of Jiangsu Province Nanjing University of Posts and Telecommunications

There are two main types of tests to assess one's bodily-kinesthetic intelligence,which are writing tests and scenario ***,these two methods are subjective and time-consuming and not suitable for large-scale *** paper proposed a new assess method to assess bodily-kinesthetic intelligence based on the writing intelligence test *** method is designed with the computer virtual reality *** result shows the method can get better reliability and *** the evaluation process is easier to realize.

关键词： bodily-kinesthetic intelligence multiple intelligence computer contextual method

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Asymmetric stereoscopic video encoding algorithm based on subjective visual characteristic

Asymmetric stereoscopic video encoding algorithm based on su...

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International Conference on Wireless communications and Signal processing (WCSP)

作者： Shu Liu Feng Liu Jingjing Fan Hongfei Xia Image Processing and Image Communication Jiangsu Key Laboratory Nanjing University of Posts and Telecommunications Nanjing China ZTE Telecom Company Limited Nanjing China

In traditional asymmetric stereo video encoding scheme, one eye is represented with high quality sequence, the other eye is represented with lower quality one. However, if the low quality view is the observer's dominant eye, the masking effect will not work. Based on this human visual characteristic, this paper proposed a GOP-based resolution cross-switching asymmetric encoding scheme. By allocating degradation to both of views in a balanced way over time, our experimental results show better compression efficiency than JMVM reference software and better subjective visual quality than the traditional asymmetric stereo video encoding scheme. Our stereo video coding scheme can be a trade-off between compression performance and subjective visual quality.

关键词： Encoding image coding Video compression Degradation Video coding image quality Psychology Layout image processing image communication

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