2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System最新文献

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Automatic Detection of Vascular Bifurcations and Crossovers from Color Retinal Fundus Images 彩色视网膜眼底图像中血管分叉和交叉的自动检测
A. Bhuiyan, B. Nath, Joselíto J. Chua, K. Ramamohanarao
{"title":"Automatic Detection of Vascular Bifurcations and Crossovers from Color Retinal Fundus Images","authors":"A. Bhuiyan, B. Nath, Joselíto J. Chua, K. Ramamohanarao","doi":"10.1109/SITIS.2007.86","DOIUrl":"https://doi.org/10.1109/SITIS.2007.86","url":null,"abstract":"Identifying the vascular bifurcations and crossovers in the retinal image is helpful for predicting many cardiovascular diseases and can be used as biometric features and for image registration. In this paper, we propose an efficient method to detect vascular bifurcations and crossovers based on the vessel geometrical features. We segment the blood vessels from the color retinal RGB image, and apply the morphological thinning operation to find the vessel centerline. Applying a filter on this centreline image we detect the potential bifurcation and crossover points. The geometrical and topological properties of the blood vessels passing through these points are utilized to identify these points as the vessel bifurcations and crossovers. We evaluate our method against manually measured bifurcation and crossover points by an expert, and achieved the detection accuracy of 95.82%.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125976311","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: 63
Wraplet: Wrapping Your Web Contents with a Lightweight Language 用一种轻量级语言包装你的网页内容
Natsumi Sawa, Atsuyuki Morishima, S. Sugimoto, H. Kitagawa
{"title":"Wraplet: Wrapping Your Web Contents with a Lightweight Language","authors":"Natsumi Sawa, Atsuyuki Morishima, S. Sugimoto, H. Kitagawa","doi":"10.1109/SITIS.2007.135","DOIUrl":"https://doi.org/10.1109/SITIS.2007.135","url":null,"abstract":"Wrapping of Web sources is known to be one of the key tasks in information integration problems. This paper proposes Wraplet, a wrapping language for extracting structured data from Web contents written in HTML. Unlike existing solutions, Wraplet is designed as a lightweight language in which users can write scripts for wrapping easily with text editors. Its simple syntax and the library of useful patterns help the user write wrapping descriptions by hand. We explain the motivation of its development and the language design and then shows the result of a preliminary experiment about applicability of the language to real Web sources. We conducted a statistical analysis and obtained the result that the applicability of Wraplet is more than 90% at the 95% confidence level in the experimental setting.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121941659","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: 7
Joint Compression and Classification for Textures in the Wavelet and Ridgelet Domain 小波和脊波域纹理的联合压缩与分类
M. Joshi, R. Manthalkar, Y. Joshi
{"title":"Joint Compression and Classification for Textures in the Wavelet and Ridgelet Domain","authors":"M. Joshi, R. Manthalkar, Y. Joshi","doi":"10.1109/SITIS.2007.57","DOIUrl":"https://doi.org/10.1109/SITIS.2007.57","url":null,"abstract":"Image Compression is a widely addressed research area. Many compression standards are in place. There are many methods for image classification. But the joint compression and classification is a new research area wherein the classification is attempted in the compressed domain. The joint compression and classification (JCC) is explored in wavelet domain by some researchers. But it is not yet explored in Ridgelet domain. This paper discusses the performance of JCC for Wavelet and Ridgelet domain for Texture images. The experimentation is done with objective analysis and subjective analysis. Objective analysis is performed using the Compression metrics-RMSE, PSNR and classification metric- CCR. Subjective analysis is performed using Human Visual Perception. It is found that the Ridgelet Transform gives less Mean Squared Error (MSE) and is better for Joint Compression and Classification of Texture images. Extensive experimentation has been carried out to arrive at the conclusion.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125758313","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
Three User Profile Similarity Calculation (UPSC) Methods and Their Evaluation 三种用户轮廓相似度计算方法及其评价
H. Naderi, B. Rumpler
{"title":"Three User Profile Similarity Calculation (UPSC) Methods and Their Evaluation","authors":"H. Naderi, B. Rumpler","doi":"10.1109/SITIS.2007.132","DOIUrl":"https://doi.org/10.1109/SITIS.2007.132","url":null,"abstract":"Collaborative information retrieval (CIR) is a new technique for resolving the current problem of information retrieval systems. A CIR system registers the previous user interactions to response to the subsequent user queries more efficiently. However well-known problem of personalization in retrieval systems is more acute in CIR systems. The goals and the characteristics of two users may be different; so when they send the same query to a CIR system, they may be interested in two different lists of documents. To solve this problem, we have developed a personalized CIR system, called PERCIRS, based onthe user profiles' similarity to satisfy their queries.Thus selecting an efficient method to calculate the similarity between user profiles is a key factor for enhancing PERCIRSpsilas efficiency. In this paper, we propose three methods for user profile similarity calculation. Finally, we introduce a mechanism for evaluating these methods.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132518760","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
A Methodology for Low-Cost Image Annotation Based on Conceptual Modeling: A Biological Example 一种基于概念建模的低成本图像标注方法:一个生物学实例
A. Costa, É. Leclercq, M. Savonnet, M. Terrasse
{"title":"A Methodology for Low-Cost Image Annotation Based on Conceptual Modeling: A Biological Example","authors":"A. Costa, É. Leclercq, M. Savonnet, M. Terrasse","doi":"10.1109/SITIS.2007.97","DOIUrl":"https://doi.org/10.1109/SITIS.2007.97","url":null,"abstract":"In the context of data-intensive biology applications the overall annotation costs are rather high since experts generally need to be involved. In some cases it is possible to automate the annotation process. In this paper we propose an approach that consists in building an image database application that enables domain technicians to make annotations without compromizing their semantical precision. Our proposal relies mainly on a domain ontology coupled with a conceptual data model.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129839069","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
Vision-Based 3D Articulated Pose Tracking Using Particle Filtering and Model Constraints 使用粒子滤波和模型约束的基于视觉的3D关节姿态跟踪
Fawang Liu, Gangyi Ding, X. Deng, Yihua Xu
{"title":"Vision-Based 3D Articulated Pose Tracking Using Particle Filtering and Model Constraints","authors":"Fawang Liu, Gangyi Ding, X. Deng, Yihua Xu","doi":"10.1109/SITIS.2007.35","DOIUrl":"https://doi.org/10.1109/SITIS.2007.35","url":null,"abstract":"We describe a probabilistic approach for 3D upper body pose tracking by fusing depth, color and underlying body constraints. Existing tracking algorithms can be roughly divided into model-free and model-based methods. Probabilistic assembly of parts falls into model-free category. An important advantage of this technique is that pose can be estimated independently at each frame, allowing estimation for rapid movements, but most such approaches only get 2D tracking results. The use of an explicit model is the most widely investigated methodology, but often suffers from high computational costs. In this paper, we employ particle filtering to get candidate body parts with salient features, integrate probabilistic assembly of parts with model constraints to get the best pose configuration. Experimental results show that our approach can robustly track human motion even when hands move rapidly or self-occlusion exists, and can also automatically initialize and recover from tracking failure.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131581514","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
Selection of Reliable Features Subsets for Appearance-Based Tracking 基于外观跟踪的可靠特征子集的选择
Pascaline Parisot, B. Thiesse, V. Charvillat
{"title":"Selection of Reliable Features Subsets for Appearance-Based Tracking","authors":"Pascaline Parisot, B. Thiesse, V. Charvillat","doi":"10.1109/SITIS.2007.83","DOIUrl":"https://doi.org/10.1109/SITIS.2007.83","url":null,"abstract":"Efficient algorithms that track targets with a constant aspect (rigid objects, for example) are often based on appearance models. The simplest models linearly predict motion parameters from gray-scale variations measured at features. Choosing the features and training the predictor is done during a preliminary off-line stage. This paper presents several methods that improve the features selection process by filtering out some features from a given set. In particular, we are interested in the SVD-based subset selection procedure proposed by Golub and Van Loan. We show a significant improvement of tracking performance when our method filters Moravec, Harris, KLT or SUSAN features. We conclude that individually good selected features may not build a good subset and that a good spatial distribution of the features is paramount.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129516424","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
A Colour Correlation-Based Stereo Matching Using 1D Windows 基于一维窗口的色彩相关立体匹配
S. Lefebvre, S. Ambellouis, F. Cabestaing
{"title":"A Colour Correlation-Based Stereo Matching Using 1D Windows","authors":"S. Lefebvre, S. Ambellouis, F. Cabestaing","doi":"10.1109/SITIS.2007.25","DOIUrl":"https://doi.org/10.1109/SITIS.2007.25","url":null,"abstract":"In this paper, we propose an original approach to colour correlation-based stereo matching with mono-dimensional windows. The result of the algorithm is a quasi-dense disparity map associated with its confidence map. For each pixel, correlation indices are computed for several widths of windows and several positions of the current pixel. Three criteria, extracted from each correlation curve, are combined by a fuzzy filter to define a confidence measure. A basic decision rule computes the disparity value and its associated confidence for most of the image pixels. A first study shows results obtained on grey level images with our 1D method and a classical 2D method. The method is applied to the RGB colour space: three disparity maps are computed and fused to compute the final disparity map. The method is validated on the Tsukuba image pair. On the first hand, we show that our method presents lower error rates with the RGB colour space than with the grey level image for identical density rates. On the other hand, our results are compared with those obtained using similar colour 2D methods (presented on the Middlebury Website). Our algorithm is ranked in the first places for each area of the image.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128115030","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: 7
Time Delay Estimation of Reverberant Meeting Speech: On the Use of Multichannel Linear Prediction 混响会议演讲的时延估计:多通道线性预测的应用
E. Cheng, I. Burnett, C. Ritz
{"title":"Time Delay Estimation of Reverberant Meeting Speech: On the Use of Multichannel Linear Prediction","authors":"E. Cheng, I. Burnett, C. Ritz","doi":"10.1109/SITIS.2007.96","DOIUrl":"https://doi.org/10.1109/SITIS.2007.96","url":null,"abstract":"Effective and efficient access to multiparty meeting recordings requires techniques for meeting analysis and indexing. Since meeting participants are generally stationary, speaker location information may be used to identify meeting events e.g., detect speaker changes. Time-delay estimation (TDE) utilizing cross-correlation of multichannel speech recordings is a common approach for deriving speech source location information. Research improved TDE by calculating TDE from linear prediction (LP) residual signals obtained from LP analysis on each individual speech channel. This paper investigates the use of LP residuals for speech TDE, where the residuals are obtained from jointly modeling the multiple speech channels. Experiments conducted with a simulated reverberant room and real room recordings show that jointly modeled LP better predicts the LP coefficients, compared to LP applied to individual channels. Both the individually and jointly modeled LP exhibit similar TDE performance, and outperform TDE on the speech alone, especially with the real recordings.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123308988","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
A New Robust Watermarking Scheme for Color Image in Spatial Domain 一种新的空间域彩色图像鲁棒水印方案
I. Nasir, Ying Weng, Jianmin Jiang
{"title":"A New Robust Watermarking Scheme for Color Image in Spatial Domain","authors":"I. Nasir, Ying Weng, Jianmin Jiang","doi":"10.1109/SITIS.2007.67","DOIUrl":"https://doi.org/10.1109/SITIS.2007.67","url":null,"abstract":"This paper presents a new robust watermarking scheme for color image based on a block probability inspatial domain. A binary watermark image is permutated using sequence numbers generated by a secret key and Gray code, and then embedded four times in different positions by a secret key. Each bit of the binary encoded watermark is embedded by modifying the intensities of anon-overlapping block of 8*8 of the blue component ofthe host image. The extraction of the watermark is bycomparing the intensities of a block of 8*8 of the watermarked and the original images and calculating the probability of detecting '0' or '1'. Tested by benchmark Stirmark 4.0, the experimental results show that the proposed scheme is robust and secure against a widerange of image processing operations.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115222612","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: 83
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