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2013 Seventh International Conference on Image and Graphics最新文献

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Fast Shape Matching of Height Functions with Heuristic Search Strategy 基于启发式搜索策略的高度函数快速形状匹配
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.188
Yuefang Gao, Zhonghong Huang, Baichuan Yang, Dong Wang
{"title":"Fast Shape Matching of Height Functions with Heuristic Search Strategy","authors":"Yuefang Gao, Zhonghong Huang, Baichuan Yang, Dong Wang","doi":"10.1109/ICIG.2013.188","DOIUrl":"https://doi.org/10.1109/ICIG.2013.188","url":null,"abstract":"In this paper, we propose a fast computational framework based on height functions descriptor for handling shape matching. To improve the efficiency, we utilize the strategy of heuristic search to reduce the large search space of dynamic programming (DP) algorithm between sample points of every two shapes during shape matching. Experiments on several public shape benchmarks(such as, MPEG-7 dataset, Kimia's dataset and ETH-80 dataset) demonstrate superior efficiency and competitive retrieval performance over previous methods.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114172941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Research of the ATR System Based on Infrared Images and L-M BP Neural Network 基于红外图像和L-M BP神经网络的ATR系统研究
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.162
Chengpo Mu, Jiyuan Wang, Zhijie Yuan, Xianlei Zhang, Chao Han
{"title":"The Research of the ATR System Based on Infrared Images and L-M BP Neural Network","authors":"Chengpo Mu, Jiyuan Wang, Zhijie Yuan, Xianlei Zhang, Chao Han","doi":"10.1109/ICIG.2013.162","DOIUrl":"https://doi.org/10.1109/ICIG.2013.162","url":null,"abstract":"With the broad application of information processing technology in the surveillance equipment, the automatic target recognition (ATR) technology has become a key part of the battlefield intelligence processing system. In this paper, we presented an approach for building an ATR system with improved artificial neural network, which can be used to recognize and classify the infrared targets in army field. Because of the invariance of rotation, translation and scaling, we selected the features of Hu invariant moments and roundness as input of the neural network. In order to increase the speed of training, the L-M (Levenberg-Marquardt) algorithm was introduced to improve the traditional BP neural network. The results of simulation show that the approach can meet the requirement of the ATR system in high adaptability and good identification effect.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114587348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Active Contour Method with Locally Computed Signed Pressure Force Function: An Application to Brain MR Image Segmentation 局部计算带符号压力函数的主动轮廓法在脑磁共振图像分割中的应用
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.37
Farhan Akram, Jeong-Heon Kim, K. Choi
{"title":"Active Contour Method with Locally Computed Signed Pressure Force Function: An Application to Brain MR Image Segmentation","authors":"Farhan Akram, Jeong-Heon Kim, K. Choi","doi":"10.1109/ICIG.2013.37","DOIUrl":"https://doi.org/10.1109/ICIG.2013.37","url":null,"abstract":"This paper presents a region-based active contour method that embeds both region and gradient information. In the proposed algorithm area term practices a new region-based signed pressure force (SPF) function which utilizes the image local information obtained using the local binary fitted (LBF) energy model. By introducing the SPF function based on local fitted image (LFI), the proposed model is able to segment images with intensity in homogeneities. A Gaussian kernel is used to regularize the level set function which not only regularizes it but also removes the need of computationally expensive re-initialization. The proposed segmentation algorithm is applied to synthetic and real images in order to demonstrate the accuracy, effectiveness, and robustness of the algorithm.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114645360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
MOS-Based Channel Allocation Schemes for Mixed Services over Cognitive Radio Networks 基于mos的认知无线网络混合业务信道分配方案
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.171
Lei He, B. Liu, Yuanzhi Yao, Nenghai Yu, C. Chen
{"title":"MOS-Based Channel Allocation Schemes for Mixed Services over Cognitive Radio Networks","authors":"Lei He, B. Liu, Yuanzhi Yao, Nenghai Yu, C. Chen","doi":"10.1109/ICIG.2013.171","DOIUrl":"https://doi.org/10.1109/ICIG.2013.171","url":null,"abstract":"In cognitive radio (CR) networks, secondary users (SUs) may have various applications such as multimedia delivery and file download, resulting in different bandwidth requirements. In this paper, we propose a channel allocation scheme for mixed services, especially video streaming, based on mean opinion score (MOS) maximization. MOS is an effective metric of Quality of Experience (QoE) that directly measures the satisfaction of the end users. The cognitive radio network base station (CRNBS) collects all the SUs' application information and allocates available channel resource to the SUs with the overall user perceived MOS maximized and fairness among SUs ensured. The simulation results confirm that the proposed MOS-based channel allocation scheme outperforms the conventional good put-based scheme in terms of overall user satisfaction.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114894079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Display Sharp 3D Images in the Air Using Low Resolution Liquid Crystal Panels 使用低分辨率液晶面板在空气中显示清晰的3D图像
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.152
Zhiyang Li
{"title":"Display Sharp 3D Images in the Air Using Low Resolution Liquid Crystal Panels","authors":"Zhiyang Li","doi":"10.1109/ICIG.2013.152","DOIUrl":"https://doi.org/10.1109/ICIG.2013.152","url":null,"abstract":"A relatively simple screen is provided for large size sharp 3D display. It consists of only a micro-lens array (MLA) and two low resolution liquid crystal panels, one panel for amplitude modulation while another panel for phase modulation. A parallel illuminating laser beam is first modulated by the two panels and then focused into point light source array (PLSA) by MLA. Voxels are recreated via constructive interference of light waves from the PLSA. The intensity of a voxel is proportional to the square of the number of point light sources that shed light on it and the brightness of each point light source. A little away from a voxel the intensity of the light field decreases dramatically due to mismatch of phase. With quantities of voxels large and sharp discrete 3D images could be displayed in the air within a large volume. As an example, 3D image quality for a particular object under particular screen parameters was analyzed.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114900077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TV Commercial Categorization Based on Sparse Visual Bag of Words 基于稀疏视觉词袋的电视广告分类
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.179
Zhenfeng Zhu, Nan Liu, Yao Zhao
{"title":"TV Commercial Categorization Based on Sparse Visual Bag of Words","authors":"Zhenfeng Zhu, Nan Liu, Yao Zhao","doi":"10.1109/ICIG.2013.179","DOIUrl":"https://doi.org/10.1109/ICIG.2013.179","url":null,"abstract":"Automatic TV commercial categorization is the key component of a smart commercial content analysis and understanding system. In this paper, we focus our research on commercial categorization by mining the temporal-spatial context of TV commercial. To boost the discrimination ability of the traditional VBoW in commercial categorization, a more flexible representation, i.e. sparse coding based VBoW (sVBoW), is presented to describe the co-occurrence of semantic units in different kinds of commercials. Meanwhile, both the temporal and spatial cues are fully exploited to reflect the context characteristics of TV commercial. The promising experimental results show the effectiveness of the proposed scheme on commercial categorization.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124040596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Improving Side Information Quality Using Structure Similarity for WZVC 利用结构相似度提高WZVC的边信息质量
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.9
Fang Sheng, Bian Zihan, ZhangQing Chongqing, Jiang Donghuan
{"title":"Improving Side Information Quality Using Structure Similarity for WZVC","authors":"Fang Sheng, Bian Zihan, ZhangQing Chongqing, Jiang Donghuan","doi":"10.1109/ICIG.2013.9","DOIUrl":"https://doi.org/10.1109/ICIG.2013.9","url":null,"abstract":"In traditional video coding standards, such as MPEG-x and H.26x, MSE (Mean-Square Error) is in general the standard search metric for motion estimation. Wyner-Ziv video coding is a new coding paradigm different from the traditional video coding standards by shifting from the encoder to the decoder the process of predicting the current frame based on motion estimation and motion compensation. However, in Wyner-Ziv video coding almost existing motion compensated temporal interpolation (MCTI) algorithms still use the MSE as the search metric. Does the MSE really fit for MCTI, which is carried out at the decoder of the Wyner-Ziv video coding? This paper tries to answer the question and a new search metric combining the structure similarity with MSE is proposed to improve MCTI performance.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115484072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Abnormal Behavior Recognition Based on Trajectory Feature and Regional Optical Flow 基于轨迹特征和区域光流的异常行为识别
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.134
A. Hou, J. Guo, Chong-Jin Wang, Liang Wu, Fei Li
{"title":"Abnormal Behavior Recognition Based on Trajectory Feature and Regional Optical Flow","authors":"A. Hou, J. Guo, Chong-Jin Wang, Liang Wu, Fei Li","doi":"10.1109/ICIG.2013.134","DOIUrl":"https://doi.org/10.1109/ICIG.2013.134","url":null,"abstract":"In order to recognize the human abnormal behavior by the video monitoring system, this paper proposes an abnormal behavior recognition method of trajectory characteristics and regional optical flow based on the characteristics of the two kinds. By adopting a modified hybrid Gauss model for background modeling, the moving foreground in video is extracted using the background subtraction method. The 8-adjacent connection area labeling method is used to label the foreground region so as to obtain the regional center trajectory. The Lucas-Kanade algorithm is used to extract the optical flow information within the movement region, and the regional flow features are described by the histogram with the weighted amplitude direction. The abnormal pedestrian behavior is identified through the analysis of the target trajectory and the entropy of histogram in the computational region. The modified mixed Gauss background model can effectively remove the interference factors and environmental disturbance on the foreground extraction so as to improve illumination changes. The trajectory analysis is done prior to the regional flow analysis if specific situation occurs, overcoming some problems such as the existing high misdiagnosis rate only from the trajectory feature recognition, the failure of individual existence through the optical flow feature recognition, the large amount of computation, etc. The experiments show that the proposed method can effectively identify the specific human abnormal behaviors.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122405409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Ultrasound Image Denoising Based on the Contourlet Transform and Anisotropic Diffusion 基于Contourlet变换和各向异性扩散的超声图像去噪
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.21
Cao Xuhui, Lihua Lei, Li Hui, Peirui Bai
{"title":"Ultrasound Image Denoising Based on the Contourlet Transform and Anisotropic Diffusion","authors":"Cao Xuhui, Lihua Lei, Li Hui, Peirui Bai","doi":"10.1109/ICIG.2013.21","DOIUrl":"https://doi.org/10.1109/ICIG.2013.21","url":null,"abstract":"In this paper, a method based on the combination of contour let transform and an isotropic diffusion for ultrasound image denoising is proposed. The goal is to remove noise from ultrasound images effectively with less loss of edge details. First, the image is decomposed using the contour let transform. Soft threshold denoising is conducted in the contour let transform domain and then the image is reconstructed. Second, the an isotropic diffusion is implemented to suppress speckle noise while preserving the edge details. Experiment result shows that the proposed method can effectively remove image noise, and it can get a higher signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR) and edge preservation values.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128526696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
An Improved Self-Training for Face Recognition 一种改进的人脸识别自训练方法
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.103
Haitao Gan, N. Sang, X. Chen, Zhiping Dan, H. Ren
{"title":"An Improved Self-Training for Face Recognition","authors":"Haitao Gan, N. Sang, X. Chen, Zhiping Dan, H. Ren","doi":"10.1109/ICIG.2013.103","DOIUrl":"https://doi.org/10.1109/ICIG.2013.103","url":null,"abstract":"Face recognition has attracted considerable concerns in recent years. In practical applications, there are generally a small amount of labeled face images and a lot of unlabeled ones can be available. In this paper, we introduce a semi-supervised face recognition method where semi-supervised LDA (SDA) and Affinity Propagation (AP) are integrated into Self-training. SDA is employed to update the face subspace using labeled and unlabeled face images. And we employ AP to computer the templates which exist in the original face images. A series of experiments on three face datasets are carried out to evaluate the performance of our algorithm. Experimental results illustrate that our algorithm outperforms the other unsupervised, semi-supervised and supervised methods.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"689 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128587156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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