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2011 International Conference on Multimedia and Signal Processing最新文献

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The Research and Implementation of Moving Object Detecting and Tracking in Intelligence Video Monitor System 智能视频监控系统中运动目标检测与跟踪的研究与实现
2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI: 10.1109/CMSP.2011.111
Yan-Ming Shi, Ke-bin Jia
{"title":"The Research and Implementation of Moving Object Detecting and Tracking in Intelligence Video Monitor System","authors":"Yan-Ming Shi, Ke-bin Jia","doi":"10.1109/CMSP.2011.111","DOIUrl":"https://doi.org/10.1109/CMSP.2011.111","url":null,"abstract":"Video Monitor System has now been widely applied in various fields, Moving Object Detecting and Tracking are both an important part of Video Monitor System and key technology of Intelligence Video Monitor System. So how to track moving object steady, real-time and effectual becomes an important question that needs to be paid attention and researched. Based on the inter-frame difference and background subtraction method of comparison, the dissertation chooses a single Gaussian background model method for Moving Object detection of the video stream captured by network cameras, and then using the Meanshift arithmetic for moving object tracking. All of the above algorithms are encapsulated by Applet, so that can be used flexibility in web projects. At the same time an alarm module is added in the system to achieve SMS alarm function when the module is turned on.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116982440","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: 4
An MDL Approach to Color Image Segmentation 彩色图像分割的MDL方法
2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI: 10.1109/CMSP.2011.156
Kaikuo Xu, Hongwei Zhang, Tianyun Yan, Wei Wei, S. Fei, Wen Qiang
{"title":"An MDL Approach to Color Image Segmentation","authors":"Kaikuo Xu, Hongwei Zhang, Tianyun Yan, Wei Wei, S. Fei, Wen Qiang","doi":"10.1109/CMSP.2011.156","DOIUrl":"https://doi.org/10.1109/CMSP.2011.156","url":null,"abstract":"In this paper, we propose an unsupervised colorimage segmentation method based on image features encoding. In this method, image segmentation is treated as minimizing the feature coding length. Image features are firstly obtained by any proper transformation that maps image data to feature space. Then a two-part MDL(Minimum Description Length) coding algorithm is proposed to encode image features: the histogram on each image channel is used to estimate the probability density function of the image features and the coding lengths foreach image channel and each partition border are summed together to determine the total coding length. A parameter free algorithm is proposed to minimize the MDL the coding length. We demonstrate that this algorithm can achieve good performance in visual evaluations with images from Berkeley image database.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122632950","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
Spatial-Temporal Error Concealment Scheme for Intra-coded Frames 编码内帧的时空错误隐藏方案
2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI: 10.1109/CMSP.2011.106
Huang Hui
{"title":"Spatial-Temporal Error Concealment Scheme for Intra-coded Frames","authors":"Huang Hui","doi":"10.1109/CMSP.2011.106","DOIUrl":"https://doi.org/10.1109/CMSP.2011.106","url":null,"abstract":"Error concealment with good restored video quality and low computational cost is significantly required for video streams transmitted in error-prone channels, especially for real-time applications. An efficient error concealment scheme for intra-frame is proposed. Spatial circular interpolation method is used to prevent the accumulation of prediction error. Meanwhile the motion vectors surrounding the damaged MB are used when all the adjacent blocks are error to improve the effect of error concealment. The experimental results indicate that compared to the spatial error concealment algorithm in H.264, the proposed scheme can restore more texture information and improve the quality both subjectively and objectively greatly.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129309090","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
Speaker Verification Using LR-based Composite Sequence Kernel for Improving the Characterization of the Alternative Hypothesis 基于lr的复合序列核改进备选假设表征的说话人验证
2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI: 10.1109/CMSP.2011.133
Yi-Hsiang Chao
{"title":"Speaker Verification Using LR-based Composite Sequence Kernel for Improving the Characterization of the Alternative Hypothesis","authors":"Yi-Hsiang Chao","doi":"10.1109/CMSP.2011.133","DOIUrl":"https://doi.org/10.1109/CMSP.2011.133","url":null,"abstract":"The likelihood ratio (LR)-based speaker verification is usually difficult to characterize the alternative hypothesis precisely. To better characterize the alternative hypothesis, we propose to incorporate two effective speaker verification approaches based on weighted geometric combination (WGC) and weighted arithmetic combination (WAC) into the support vector machine (SVM) via a new sequence kernel function, named the LR-based composite sequence kernel. This new kernel can be regarded as a unified framework for characterizing the alternative hypothesis by virtue of the complementary information that the WGC and WAC approaches can contribute. Our experiment results show that the proposed sequence kernel method outperforms the conventional speaker verification approaches.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121387320","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
A Sensitive Image Filtering Method Based on Gabor Function and SVM 基于Gabor函数和支持向量机的图像敏感滤波方法
2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI: 10.1109/CMSP.2011.123
Y. Sun, Zheng-xuan Wang, S. Song
{"title":"A Sensitive Image Filtering Method Based on Gabor Function and SVM","authors":"Y. Sun, Zheng-xuan Wang, S. Song","doi":"10.1109/CMSP.2011.123","DOIUrl":"https://doi.org/10.1109/CMSP.2011.123","url":null,"abstract":"The filtering of sensitive images becomes increasingly important, and the image filtering technique based on content has become the focus of research. For the disadvantages of low filtering accuracy rate and poor flexibility that exist in many image filtering methods, a sensitive image filtering method based on Gabor function and SVM(Support Vector Machine) was proposed. And then such problems as how to improve the efficiency and accuracy of filtering were discussed. Finally this method was compared with the existing filtering methods, and the experimental results showed that this method has significant improvement in filtering effectiveness, which can effectively improve the rate of precision and flexibility.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121515035","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
Methods and Performances Study for Power Spectrum Density Modeling of Non-gaussian Processes 非高斯过程功率谱密度建模方法及性能研究
2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI: 10.1109/CMSP.2011.140
Wang Pingbo, Wang Shuzong, Liu Feng, C. Zhiming
{"title":"Methods and Performances Study for Power Spectrum Density Modeling of Non-gaussian Processes","authors":"Wang Pingbo, Wang Shuzong, Liu Feng, C. Zhiming","doi":"10.1109/CMSP.2011.140","DOIUrl":"https://doi.org/10.1109/CMSP.2011.140","url":null,"abstract":"As used in Gaussian case, the autoregressive model can be applied to fit the power spectrum density of non-Gaussian processes. However, the least square estimation, the most popular method under Gaussian hypothesis, is no more efficient here. Firstly, under the non-Gaussian hypothesis of Gaussian mixture, the Crammer-Rao bounds of parameter estimation for the power spectrum density autoregressive model are analyzed. Secondly, the efficient estimation, i.e. the maximum likelihood estimation, is deduced. Thirdly, its simplification, the weighted least square estimation is set up. Finally, a numerical instance is given to illustrate the performance discrimination among the maximum likelihood estimation, the weighted least square estimation and the conventional unweighted least square estimation.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130046808","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 Design of an Embedded Speech Recognition Annunciator 嵌入式语音识别信号器的设计
2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI: 10.1109/CMSP.2011.39
Huapeng Chen, Jie Lin, Yinyue Shen
{"title":"The Design of an Embedded Speech Recognition Annunciator","authors":"Huapeng Chen, Jie Lin, Yinyue Shen","doi":"10.1109/CMSP.2011.39","DOIUrl":"https://doi.org/10.1109/CMSP.2011.39","url":null,"abstract":"This annunciator is a GPRS-based mobile embedded device for housing security device. On house side, it consists of a camera module, a wireless module, and a Surveillance module. On the user side, only a MMS mobile phone is needed. The annunciator in this paper is based on speech recognition and multimedia message transmission technologies and can send the multimedia message, after being trigged by speaker-dependent speech to ask for help. The result shows that the user can ask for help in undertone to send a distress signal with a live picture through wireless networks.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134389753","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
An Improved Binary Image Representation Method by Using Non-symmetry and Anti-packing Model with Triangles and Squares 一种基于三角形和正方形的非对称反填充模型的二值图像表示方法
2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI: 10.1109/CMSP.2011.29
Yunping Zheng, Xi Guo
{"title":"An Improved Binary Image Representation Method by Using Non-symmetry and Anti-packing Model with Triangles and Squares","authors":"Yunping Zheng, Xi Guo","doi":"10.1109/CMSP.2011.29","DOIUrl":"https://doi.org/10.1109/CMSP.2011.29","url":null,"abstract":"Inspired by the optimization idea of the triangle and square packing problems, in this paper we propose an improved binary image representation method by using the non-symmetry and anti-packing model with triangles and squares (NAMTS). Also, we propose an algorithm of the NAMTS for binary images and analyze the total data amount of the algorithm. By comparing the representation algorithm of the NAMTS with those of the latest triangle non-symmetry and anti-packing model (TNAM) and the popular linear quadtree, the theoretical and experimental results presented in this paper show that the former can greatly reduce the numbers of subpatterns or nodes and simultaneously save the data storage much more effectively than the latter, and therefore it is a better method to represent binary images.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131604553","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
Blind Detection of Eclosion Forgeries Based on Curvelet Image Enhancement and Edge Detection 基于曲线图像增强和边缘检测的渐近伪造物盲检测
2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI: 10.1109/CMSP.2011.70
Yinlong Qi, Xiao-Shuang Xing, Hua-Fang-Zi Zhang
{"title":"Blind Detection of Eclosion Forgeries Based on Curvelet Image Enhancement and Edge Detection","authors":"Yinlong Qi, Xiao-Shuang Xing, Hua-Fang-Zi Zhang","doi":"10.1109/CMSP.2011.70","DOIUrl":"https://doi.org/10.1109/CMSP.2011.70","url":null,"abstract":"Digital image forgery is a growing problem as the image could be easily manipulated. Digital image forgery detection has recently received significant attention. A fast and efficient blind detection algorithm is presented for the detection of eclosion forgeries. The second generation of Curvelet transform is firstly used to enhance the image, and then Canny operators is used to detect the edge of the enhanced image, finally the eclosion forgeries can be identified from the edge image. Experimental results show that the algorithm has less operation time and can distinguish the weak edges from the eclosion edges effectively. So it has a higher detection precision and efficiency.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131634765","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: 2
Texel Based Regular and Near-Regular Texture Characterization 基于Texel的规则和近规则纹理表征
2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI: 10.1109/CMSP.2011.171
Yan Gui, Mingang Chen, Lizhuang Ma, Zhihua Chen
{"title":"Texel Based Regular and Near-Regular Texture Characterization","authors":"Yan Gui, Mingang Chen, Lizhuang Ma, Zhihua Chen","doi":"10.1109/CMSP.2011.171","DOIUrl":"https://doi.org/10.1109/CMSP.2011.171","url":null,"abstract":"This paper performs a new method for analyzing regular and near-regular texture, which combines detection of repeated texels with extraction of spatial organization among these texels. For obtaining size, position and class of individual texel in a given texture, we apply an affine transform based method to estimate the similarity measurement between texels. In addition, Delaunay triangulation-like method is used to extract the triangular grid for describing the underlying texture periodicity. Our method can give further characterization for such textures when some useful information are computed, including the distance, direction of two adjacent texels. And the topology among all texels is also constructed for extracting the spatial neighborhood relationship of texels. We test our method on various sample textures, and give an extension on real images containing a type of such texture. Experimental results demonstrate that our method for regular and near-regular texture characterization is feasible and effective.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130806463","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: 11
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