S. Nakamori, M. J. García-Ligero, A. Hermoso-Carazo, J. Linares-Pérez
{"title":"Estimation from uncertain observations in distributed parameter systems covariance information","authors":"S. Nakamori, M. J. García-Ligero, A. Hermoso-Carazo, J. Linares-Pérez","doi":"10.1109/ISPA.2003.1296397","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296397","url":null,"abstract":"This paper studies the least mean-squared error linear estimation problem in distributed parameter systems from uncertain observations when the observation equation, besides the multiplicative noise component, is also affected by white plus coloured additive noises. Using as information the covariances of the involved processes, and assuming that the autocovariance functions of the signal and coloured noise are given in a semidegenerate kernel form, we propose recursive algorithms for the filter and fixed-point smoother.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"42 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":"126923950","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":"Image restoration based on level lines","authors":"Ling Qi, Niu Feng, Li Zhengkai","doi":"10.1109/ISPA.2003.1296383","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296383","url":null,"abstract":"Images in nature can rarely be whole seen and they are occluded by something else. To get recovery of images, it need image restoring technology. Traditional methods are based on interpolation, which is not good if the occlusion is big. This paper is based on an existing theory and realizes a variational method: image restoration based on level lines. This approach simulates restoring ability of human vision, which can reconstruct edge features in images. Experiment results show this method can restore the information in big occluded area fairly well, moreover it spends time quite little. This method can be used to restore old photos and applied into image compression.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"274 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":"120961636","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":"Direct group-blind multiuser detection for DS-CDMA systems in dispersive channels","authors":"G. Gelli, S. Milano, L. Paura, F. Verde","doi":"10.1109/ISPA.2003.1296926","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296926","url":null,"abstract":"We consider the problem of blind (i.e., without training sequence) mitigation of both intersymbol interference (LSI) and multiple-access interference (MAI) in the uplink of asynchronous direct-sequence code-division multiple-access (DS-CDMA) systems transmitting over time-dispersive channels. The proposed method exploits the knowledge (certainly available at the base-station site) of the spreading codes belonging to a group of the active users to directly extract the detector parameters from the received data, without requiring an explicit channel identification step. Simulation results show that the proposed group-blind receiver outperforms the existing blind methods, for small to moderate values of the sample-size.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"14 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":"127469819","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":"Compensation of the effects caused by the outliers in multiframe iterative techniques","authors":"M. Zibetti, J. Mayer","doi":"10.1109/ISPA.2003.1296417","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296417","url":null,"abstract":"In this work the compensation to a problem in the iterative multiframe regularized least-squares (RLS) technique is proposed. The use of a sequence of frames presenting outliers is possible, as long they are properly estimated and removed. The removal of the outliers causes an unequal contribution from the additional images in the estimation. The unequal contribution complicates the search for a solution in the gradient projection iterative techniques. As rescaling eigenvalues requires a high computational cost, the compensation of the spatial contributions becomes an effective solution. A compensation matrix is used in the iterative technique. The compensation is based on the inversion of the effects of the degradations in the image components of constant amplitude. Moreover, good results are obtained soon at the first iterations, allowing earlier termination with satisfactory results.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"26 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":"128115969","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":"Electromagnetic spectrum and color vision","authors":"Jesus Ingoyen, Jose Herraez","doi":"10.1109/ISPA.2003.1296352","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296352","url":null,"abstract":"In most of occasions the maps, drawings and printed images are elaborated thinking that the observer will visualize them with illuminants like the light of the day. With these illuminants, for example the CIE D/sub 65/, we can distinguish the great quantity of colors that it is capable the human eye. But if the illuminant has a very different spectrum than the light of day, for example the light of acetylene, the number of colors that we are able to distinguish can decrease drastically.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"44 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":"132207876","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":"Predictive image compression for interactive remote visualization","authors":"G. Cortelazzo, P. Zanuttigh","doi":"10.1109/ISPA.2003.1296888","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296888","url":null,"abstract":"The standard way of remotely visualizing 3D models is by first downloading them to the user's computer, and then rendering them. This approach is plagued by many problems which can be overcome by moving the rendering at server's side and by essentially turning interactive visualization into the transmission of user's prompted images. How to effectively compress the rendered views which need to be transmitted to the client is a fundamental issue within this remote visualization scenario. This work presents a predictive compression scheme for remote visualization based on image based rendering. Its experimental performance is discussed with respect to the use of JPEG and JPEG2000 within it.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"13 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":"133337786","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":"Real-time active 3D shape reconstruction for 3D video","authors":"T. Wu, T. Matsuyama","doi":"10.1109/ISPA.2003.1296891","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296891","url":null,"abstract":"In this paper, we focus on the real-time 3D shape reconstruction of an object moving in a wide area (e.g. a dancing human). To efficiently record dynamically changing 3D object shape, the real-time 3D shape reconstruction and active tracking are required. For the real-time 3D shape reconstruction, we propose a parallel plane-based volume intersection method. By implementing the algorithm on a PC cluster system, we have succeeded in real-time 3D shape reconstruction. Then to get the 3D shape of a moving object in a wide space, we introduce active object tracking by multiple cameras. To realize the active 3D shape reconstruction, we augmented the volume intersection method so that it can be applied to those images captured by active cameras.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"30 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":"133915521","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}
Satoshi Hasebe, S. Muramatsu, S. Sasaki, Jie Zhou, H. Kikuchi
{"title":"Two-step algorithm for detecting video shot boundaries in a wavelet transform domain","authors":"Satoshi Hasebe, S. Muramatsu, S. Sasaki, Jie Zhou, H. Kikuchi","doi":"10.1109/ISPA.2003.1296902","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296902","url":null,"abstract":"This paper presents a two-step algorithm that automatically detects shot boundaries of a video in a wavelet transform domain. It first finds the isolated intervals in a given video sequence, and then detects a shot boundary within those intervals. Its effectiveness for several different kinds of videos is evaluated in terms of recalls and precisions.","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":"129227944","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":"Signal detection in compound-Gaussian noise: generalized detector","authors":"V. Tuzlukov","doi":"10.1109/ISPA.2003.1296887","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296887","url":null,"abstract":"This paper handles the problem of directing signals with known form and structure and unknown or random amplitude and phase in the presence of compound-Gaussian noise with known spectral density. The generalized detector (GA) based on the generalized approach to signal processing (GASP) in noise is investigated (V. Tuzlukov, 1998, 2001, 2002). The structure of the GA detector is independent of the disturbance amplitude probability function. Based on this result, the threshold setting, which is itself independent on both the noise distribution and the signal parameters, ensures a constant false alarm rate. The detection performance analysis shows that the GA detector outperforms the optimum Neyman- Pearson (NP) receiver and the conventional square-law detector.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"80 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":"128817929","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":"Real-time moving object detection under complex background","authors":"Jinchang Ren, P. Astheimer, D. Feng","doi":"10.1109/ISPA.2003.1296359","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296359","url":null,"abstract":"Moving object detection (MOD) is a basic and important problem in video analysis and vision applications. In this paper, a novel MOD method is proposed using global motion estimation and edge information. In order to get more robust MOD results under different backgrounds and lighting conditions, a bilinear model and histogram scaling method are used respectively for spatial and illumination normalization. After normalization, edges are extracted by Canny and further filtered using morphological operators to get closed object contours. The final objects are extracted by combining the contours and moving regions from motion detection. The experimental results show the proposed approach has apparent advantages in robust and accurate detection and tracking of moving objects with changing of camera positions, lighting conditions and background for real-time applications.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"26 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":"115988410","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}