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2022 Chinese Automation Congress, CAC 2022

作者： Han, Wenxing Zou, An-Min Shantou University Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Dept. of Electronic and Information Engineering Shantou China

ISBN: (纸本)9781665465335

The capsule network constructs the relationship between the part and the whole in an image through feature coding, which shows excellent performance in the image classification. However, the original capsule network is weak in extracting useful feature information, because it tends to explain all the information in a graph and the advantages of the capsule network cannot be reflected in the face of complex background datasets. By using MobileNetV3 as the backbone to replace the simple primary convolutional network layer, an improved capsule network named MB-CapsNet is proposed in this paper. The advanced network reducing the interference of invalid features to focus on effective features. At the same time, a variety of parameter sets are employed and extensive experiments are proceeded on four kinds of datasets. After that, an optimal network configuration is obtained which is suitable for different datasets. The experimental results illustrate that the advanced MB-CapsNet is more effectively than the original capsule network in the feature extraction, showing its advantages and potential in complex datasets. © 2022 IEEE.

关键词： image classification

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Comprehensive comparison of the least mean square algorithm and the fast deconvolution algorithm for crosstalk cancellation

Comprehensive comparison of the least mean square algorithm ...

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

作者： Li, Dan Fu, Zhong-Hua Xie, Lei Zhang, Yanning Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an 710129 China

ISBN: (纸本)9781467301718

Crosstalk cancellation is an important issue in 3D audio rendering, which aims at reproduce binaural signals at listener's ears using dual or multiple loudspeakers. Among many existing algorithms, the adaptive filtering in time domain and the direct deconvolution in frequency domain have been the predominant ones. Though they have been widely used, these two methods have never been compared comprehensively as we known. In this paper, we thoroughly examine their performances from different aspects, including channel separation, timbre distortion, and sensitivity to the HRIR measurement errors. Both objective and subjective evaluations are implemented in a practical environment. The experimental results may provide a more comprehensive reference for method choice in practical applications. Additionally, the limitation of using simulation to evaluate the performance of crosstalk cancellation is highlighted. © 2012 IEEE.

关键词： Deconvolution

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Dual-microphone noise reduction based on semi-blind DUET

Dual-microphone noise reduction based on semi-blind DUET

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2010 7th International Symposium on Chinese Spoken Language processing, ISCSLP 2010

作者： Fu, Zhong-Hua Xie, Lei Jiang, Domg-Mei Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Poly Technical University Xi'an China

ISBN: (纸本)9781424462469

Noise reduction is a fundamental requirement of many speech applications. Sometimes the major interferences, such as music, song, cross-talking, etc., coming from loudspeakers nearby make it a more challenging problem. In this paper, by supposing the locations of interferences are fixed, a semi-blind Degenerate Unmixing Estimation Technique (DUET) approach using dualmicrophone is proposed. Firstly, during system initialization, the spatial feature distribution of the interferences is estimated precisely. Then the feature distribution of unknown target speech is obtained using model adaptation. Finally, a time-frequency binary mask estimated based on likelihood comparison is used to separate the target speech. The experimental results show that the performances of our approach in adverse noise reduction are significant. 77.9% interferences are eliminated and the speech quality is preserved very well. The results are close to those of un-blind approach, where the locations of all sound sources are known. ©2010 IEEE.

关键词： Noise abatement

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Re-ranking image search results by multiscale visual saliency model

Re-ranking image search results by multiscale visual salienc...

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2010 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2010

作者： Huang, Jun Yang, Xiaokang Zhang, Rui Fang, Xiangzhong Institute of Image Communication and Information Processing Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424444625

The paper focuses on two mechanisms, multiscale relevance and visual saliency, in web image search. First, in most current web image search engines, such as Google image Search, Yahoo image Search and so on, people judge the relevance of search results by the thumbnails and then click through the thumbnails to check if the corresponding image is really relevant. Basically the thumbnail and the corresponding image give the multiscale representations of the image. The second is that from visual point of view, it is obvious that salient images would be easier to catch users' eyes and more likely to be clicked than cluttered ones in low-level vision. In this paper, we build a multiscale saliency model and apply it to re-rank the results from web image search engines. Experimental results show that the model can achieve an average precision (AP) [1] of as high as 97%, and it improves the results of Google image search significantly.

关键词： Search engines

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Unequal decoding power allocation for efficient video transmission

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Journal of Shanghai University(English Edition) 2010年第1期14卷 60-65页

作者：王永芳余松煜杨小康张兆杨 Key Laboratory of Advanced Display and System Application School of Communication and Information Engineering Shanghai University Institute of Image Communication and Information Processing Research Shanghai Jiao Tong University

We present an unequal decoding power allocation （UDPA） approach for minimization of the receiver power consumption subject to a given quality of service （QoS）, by exploiting data partitioning and turbo decoding. We assign unequal decoding power of forward error correction （FEC） to data partitions with different priority by jointly considering the source coding, channel coding and receiver power consumption. The proposed scheme is applied to H.264 video over additive white Gaussion noise （AWGN） channel, and achieves excellent tradeoff between video delivery quality and power consumption, and yields significant power saving compared with the conventional equal decoding power allocation （EDPA） approach in wireless video transmission.

关键词： power allocation turbo code data partition joint source and channel code

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An efficiently 3D face recognizing method using range image and sparse representation

An efficiently 3D face recognizing method using range image ...

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International Conference on Computational Intelligence and Software Engineering

作者： Zhang, Chao Zhang, Yanning Lin, Zenggang Guo, Zhe Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an 710129 China

ISBN: (纸本)9781424453924

In order to eliminate the effect of the facial expression and illumination condition, as well as to speed up the recognition procedure, we propose a face recognition approach based on sparse representation. First, preprocessing and segmenting the face area from three dimensional (3D) face scans, we also apply coarse to fine registration to ensure the alignment of range images;second, mapping the 3D model to range image through a kind of geometry-based resampling method;finally, employ sparse representation classification method to identify 3D face. The experiment results in actual 3D face database demonstrate the effectiveness of the proposed method. ©2010 IEEE.

关键词： Face recognition

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Vehicle color recognition using monocular camera

Vehicle color recognition using monocular camera

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2011 International Conference on Wireless communications and Signal processing, WCSP 2011

作者： Yang, Mengjie Han, Guang Li, Xiaofei Zhu, Xiuchang Li, Liang Jiangsu Provincial Key Lab of Image Processing and Image Communication Nanjing Univ. of PandT Nanjing China Engineering Research Center of Wideband Wireless Communication and Display Technique Ministry of Education Nanjing Univ. of PandT Nanjing China

ISBN: (纸本)9781457710100

This paper introduces a novel moving vehicle color recognition method. By processing videos recorded by monocular camera on traffic, we get single color image of vehicles which are crossed the traffic in any direction. First, paper employed a H-S two dimension histogram method to detect the color of the vehicles, and distinguish red, yellow, green and blue four color vehicles. Due to deal with the vehicles that do not satisfy above 4 colors, Regional Color Judgment method is proposed. This method consists of the following five steps: Firstly, position the color detection region by identifying the travelling direction of the vehicle. Then pick out the candidate color extraction region used to vehicle recognition. At last extract the color of the candidate region and match the color with the templates we predefined, the color of the best fit template is the color of the vehicle. © 2011 IEEE.

关键词： Color

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A novel bimodal emotion database from physiological signals and facial expression

A novel bimodal emotion database from physiological signals ...

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作者： Yan, Jingjie Wang, Bei 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 Research Center for Learning Science Southeast University Nanjing210096 China School of Communication Engineering Nanjing Institute of Technology Nanjing211167 China

In this paper, we establish a novel bimodal emotion database from physiological signals and facial expression, which is named as PSFE. The physiological signals and facial expression of the PSFE database are respectively recorded by the equipment of the BIOPAC MP 150 and the Kinect for Windows in the meantime. The PSFE database altogether records 32 subjects which include 11 women and 21 man, and their age distribution is from 20 to 25. Moreover, the PSFE database records three basic emotion classes containing calmness, happiness and sadness, which respectively correspond to the neutral, positive and negative emotion state. The general sample number of the PSFE database is 288 and each emotion class contains 96 samples. © Copyright 2018 The Institute of Electronics Information and communication Engineers.

关键词： Database systems

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Stereo matching using aggregated likelihood and multi-scale prior

Stereo matching using aggregated likelihood and multi-scale ...

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International Conference on Audio, Language and image processing, ICALIP

作者： Liang Wang Tianliang Liu Xiuchang Zhu Jiangsu Provincial Key Laboratory of Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781467301732

This paper proposes a novel global stereo matching method using aggregated likelihoods and multi-scale priors. The likelihoods of dense stereo correspondences as data term can be robustly expressed by aggregated matching costs based on Weber feature descriptors in an asymmetrical linear filtering model. The multi-scale priors on disparity surface are designed to capture scene smooth term from larger neighborhood besides 4-connected neighborhood. The presented stereo approach being relatively simple does not rely on image segmentation and any scene semantic analysis. Experiments demonstrate that the proposed stereo matching algorithm can produce the dense smooth disparity results comparable to those of excellent stereo matching techniques.

关键词： Stereo vision Visualization Robustness image segmentation Algorithm design and analysis Computer vision image color analysis

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Robust piecewise planar stereo with modified segmentation cues in urban scenes

Robust piecewise planar stereo with modified segmentation cu...

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International Conference on Multimedia Technology

作者： Zengtao Jiao Tianliang Liu Xiuchang Zhu Jiangsu Provincial Key Laboratory of Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing China

This paper proposes a robust piecewise planar multi view stereo (MVS) approach specifically designed for urban scenes. These architectural scenes are problematic for traditional computer vision methods. In our work, we focus on exploiting some useful constraints of artificial structures such as piecewise coplanarity and boundaries of superpixels. Firstly, we reconstruct quasi-dense 3D point clouds of urban scenes using patches-based MVS (PMVS) method. Secondly, a set of 3D candidate planes are generated by the obtained point clouds without any assumption on the normals of planes, unlike famous Manhattan-world assumption. Then, we segment multi-view images with watershed algorithm and modify the contours of superpixels by the classical Douglas-Peucker approximation algorithm to fit the contours to the boundaries of objects in urban scenes as much as possible. Finally, we use the candidate planes as labels and superpixels as nodes to formulate our Markov Random Field (MRF) optimization problem, then a piecewise planar depth map for each view is recovered by solving the optimization problem using graph-cuts. Experiments show that our method outperforms previous approaches in terms of accuracy.

关键词： Three dimensional displays image segmentation Computer vision Stereo vision Approximation methods image reconstruction Optimization

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