{"title":"Design and implementation of a median filtering algorithm using the median cost function","authors":"A. Burian, J. Takala, M. Ylinen","doi":"10.1109/ISPA.2003.1296418","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296418","url":null,"abstract":"In this paper a new algorithm for median-type filters, based on the median cost function, and a new VLSI-suitable hardware implementation are presented. Also, a more intuitive approach to the median cost function is presented. The proposed hardware structure reduces the hardware requirements and has a faster processing speed. It also allows efficient implementations of parallel median algorithms.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116881697","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}
{"title":"Distributed interaction processing and visualization of 3D scenes in realtime","authors":"Jan-Michael Frahm, Jan-Friso Evers-Senne, R. Koch","doi":"10.1109/ISPA.2003.1296890","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296890","url":null,"abstract":"A distributed realtime system for immersive visualization is presented which uses distributed interaction for control. We have focused on a network architecture for distributed interaction processing for multiple devices and distributed visualization. Furthermore we also discussed in detail the user tracking with fixed and pan-tilt-zoom cameras. One of our goals is the use of standard hardware and standard network protocols for the system. For the distributed realtime visualization we use consumer graphics hardware only.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117329322","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}
{"title":"Emergent document semantics","authors":"D. Sreenath, W. Grosky","doi":"10.1109/ISPA.2003.1296906","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296906","url":null,"abstract":"It is well known that interpretation depends on the context, whether for a work of art, a piece of literature, or a natural language utterance. This paper addresses the dynamic context of a collection of linked multimedia documents, of which the Web is a perfect example. Contextual document semantics emerge through identification of various users' browsing paths though this multimedia collection. In this paper, we present techniques that use multimedia information as part of this determination. Some implications of our approach are presented in the problem of defining the document semantics of a Webpage as well as the semantics that emerges through its use.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129719222","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}
{"title":"Color and texture priors in active contours for model-based image segmentation","authors":"Q. Zhou, L. Ma, D. Chelberg, M. Celenk","doi":"10.1109/ISPA.2003.1296364","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296364","url":null,"abstract":"A solution to the problem of model-based image segmentation by integrating prior color and texture information into a parametric active contour model is proposed in this paper. The vector flow field technique is adopted as the computational scheme because of its large effective capture range. Color and texture priors are modeled in a uniform way to generate a potential field and its associated vector flow field for the repetitive application of the gradient vector field (GVF). The initialization of the snake is decided by studying the shape properties of the potential field. The shape information can be utilized to avoid unnecessary initializations caused by disturbing background similar color and texture features to the model object. The potential field is also valuable for determining the weights for integrating the color and texture based vector flow field and the edge based vector flow field. With the proper integration weights, the snake evolved on the combined vector flow field can bypass strong edges in the background and stop correctly on the object's boundary. Experimental results are shown on real scenes with complex backgrounds.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128745632","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}
I. Kalatzis, N. Piliouras, E. Ventouras, C. Papageorgiou, A. Rabavilas, D. Cavouras
{"title":"Comparative evaluation of probabilistic neural network versus support vector machines classifiers in discriminating ERP signals of depressive patients from healthy controls","authors":"I. Kalatzis, N. Piliouras, E. Ventouras, C. Papageorgiou, A. Rabavilas, D. Cavouras","doi":"10.1109/ISPA.2003.1296422","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296422","url":null,"abstract":"This paper describes the design of classification system capable of distinguishing patients with depression from normal controls by event-related potential (ERP) signals using the P600 component. Clinical material comprised twenty-five patients with depression and an equal number of gender and aged-matched healthy controls. All subjects were evaluated by a computerized version of the digit span Wechsler test. EEC activity was recorded from 15 scalp electrodes and recordings were digitized for further computer processing. Features related to the shape of the waveform were generated using a dedicated custom software interface system developed in C++ for the purposes of this work. A software classification system was designed, consisting of (a) two classifiers, the probabilistic neural network (PNN) and the support vector machines (SVM), (b) two routines for feature reduction and feature selection, and (c) an overall system evaluation routine, comprising the exhaustive search and the leave-one-out methods. Highest classification accuracies achieved were 92% for the PNN and 96% for the SVM, using the 'latency/amplitude ratio' and 'peak-to-peak slope' two-feature combination. In conclusion, employing computer-based pattern recognition techniques with features not easily evaluated by the clinician, patients with depression could be distinguished from healthy subjects with high accuracy.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128806117","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}
{"title":"Curvature-based rational surface model for the detection of age and gender-related diversity in cortical morphology","authors":"R. Meegama, J. Rajapakse","doi":"10.1109/ISPA.2003.1296932","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296932","url":null,"abstract":"A novel technique based on curvature changes in non-uniform rational B-splines (NURBS) deformations to detect profound variations in age and gender-related surface patterns of the human brain is presented. Initially, a deformable NURBS surface is used to segment the brains from normalized magnetic resonance (MR) images. The NURBS surface of a template brain is then deformed until it conforms to a representative brain. Significant variations in surface segments during deformations among different groups are captured by statistical analysis of curvature changes at deformed points. The results indicate a decrease in surface variability during brain development (from 4-18 years) in normal males and also significant variability in surface patterns on the frontal lobe between male and female adults.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129702454","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}
{"title":"Adaptive regularization for resolution restoration of multiframes considering subpixel contributions","authors":"M. Zibetti, J. Mayer","doi":"10.1109/ISPA.2003.1296416","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296416","url":null,"abstract":"In this work we propose an adaptive resolution restoration algorithm for sequence of images that considers the subpixel contribution of each frame. The Regularized Least-Squares (RLS) algorithm is modified to include an extra regularization. In many previous works, it is considered regularization to mitigate only the degradation due to noise. The proposed algorithm also mitigates the distortions caused by the subsampling process. The contribution from additional frames is exploited by estimating the subpixel displacements. The pixels amplitudes from other frames, displaced by subpixel distances, provide additional information to mitigate degradations due to undersampling, like the aliasing. The extra regularization adapts according to the frames contributions. In the motion estimation step only the reliable displacement vectors are chosen for the restoration process. The proposed model significantly improves the objective (SNR) and the subjective (visual) image quality.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130383993","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}
{"title":"Fast face detection using hash table of large set of templates","authors":"Ben-Zion Shaick, L. Yaroslavsky","doi":"10.1109/ISPA.2003.1296361","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296361","url":null,"abstract":"The problem of detecting human faces in complex images using large set of templates is investigated in this paper. For the recognition, templates are adaptively picked up for matching using a special hash table that allows to substantially speed-up the template search. Principles for implementing the hash table are outlined and experimental results of face detection are provided.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129210857","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}
F. Acernese, R. Rosa, L. Milano, F. Barone, A. Eleuteri, R. Tagliaferri
{"title":"A hierarchical Bayesian learning framework for autoregressive neural network modeling of time series","authors":"F. Acernese, R. Rosa, L. Milano, F. Barone, A. Eleuteri, R. Tagliaferri","doi":"10.1109/ISPA.2003.1296406","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296406","url":null,"abstract":"In this paper a hierarchical Bayesian learning scheme for autoregressive neural network models is shown, which overcomes the problem of identifying the separate linear and nonlinear parts in the network. We show how the identification can be carried out by defining suitable priors on the parameter space, which help the learning algorithms to avoid undesired parameter configurations. Some applications to synthetic data are shown to validate the proposed methodology.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129280735","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}
J. Dehmeshki, H. Amin, Wing Wong, M. E. Dehkordi, N. Kamangari, M. Roddie, J. Costelo
{"title":"Automatic polyp detection of colon using high resolution CT scans","authors":"J. Dehmeshki, H. Amin, Wing Wong, M. E. Dehkordi, N. Kamangari, M. Roddie, J. Costelo","doi":"10.1109/ISPA.2003.1296962","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296962","url":null,"abstract":"Automatic detection of polyps can be a valuable tool for diagnoses of early colorectal cancer as early detection and hence removal of polyps can save life. Polyp detection is a challenging task as polyps come in different sizes and shapes. The detection generally consists of three stages: 1) colon segmentation, 2) identification of suspected polyps and 3) polyp classification. The latter involves classifying polyps from among many suspected regions. This paper concentrates on the first two stages of the detection. For the colon segmentation, the fuzzy connectivity region growing technique is used while for the identification of suspected polyps concave region searching is applied. The method is fast, robust and validated with a number of high-resolution colon datasets.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123726572","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}