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2011 19th European Signal Processing Conference最新文献

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Historical document analysis: A review of French projects and open issues 历史文献分析:回顾法国的项目和悬而未决的问题
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42437
Mickaël Coustaty, R. Raveaux, J. Ogier
{"title":"Historical document analysis: A review of French projects and open issues","authors":"Mickaël Coustaty, R. Raveaux, J. Ogier","doi":"10.5281/ZENODO.42437","DOIUrl":"https://doi.org/10.5281/ZENODO.42437","url":null,"abstract":"This subject is on the crossroad of different fields like signal or image processing, pattern recognition, artificial intelligence, man-machine interaction and knowledge engineering. Indeed, each of these different fields can contribute to build a reliable and efficient document interpretation system. This paper points out the necessities and importance of dedicated services oriented to historical documents. In a first step, a bird view approach is adopted describing document specificities and associated projects which deal with the enrichment and the exploitation of heritage documents. This synthesis lead to a set of particular Research Problems. The second part focuses on a set of open issues, which should be tackled by the document analysis community, for the management of the features and the knowledge representation of these ancient documents.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128528442","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: 9
Blind estimation of mixed noise parameters in images using robust regression curve fitting 基于鲁棒回归曲线拟合的图像混合噪声参数盲估计
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42321
V. Zabrodina, S. Abramov, V. Lukin, J. Astola, B. Vozel, K. Chehdi
{"title":"Blind estimation of mixed noise parameters in images using robust regression curve fitting","authors":"V. Zabrodina, S. Abramov, V. Lukin, J. Astola, B. Vozel, K. Chehdi","doi":"10.5281/ZENODO.42321","DOIUrl":"https://doi.org/10.5281/ZENODO.42321","url":null,"abstract":"Methods for blind estimation of signal dependent noise parameters from scatter-plots by polynomial regression are considered. Some new modifications as well as known ones are discussed and their performance is compared for test images with simulated signal dependent noise. Recommendations on method application and parameter setting are given.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128936127","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
Distributed power and routing optimization in single-sink data gathering wireless sensor networks 单接收器数据采集无线传感器网络中的分布式功率和路由优化
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42419
Markus Leinonen, J. Karjalainen, M. Juntti
{"title":"Distributed power and routing optimization in single-sink data gathering wireless sensor networks","authors":"Markus Leinonen, J. Karjalainen, M. Juntti","doi":"10.5281/ZENODO.42419","DOIUrl":"https://doi.org/10.5281/ZENODO.42419","url":null,"abstract":"This paper addresses a total transmission power minimization problem in single-sink data gathering wireless sensor network. We propose a distributed algorithm for solving the convex problem with partial dual decomposition approach by jointly optimizing the routing and the power allocation. We assume orthogonal multiple access communications under Rayleigh fading. By applying dual decomposition for relaxing the coupling constraint, the optimization problem is decomposed vertically into two independently solvable subproblems: the routing problem in the network layer and the power allocation problem in the physical layer. Furthermore, second-level dual decompositions are performed for distributing the solution process horizontally within each layer. The master dual problem coordinates the whole solution process by introducing the pricing on the link capacities. Gradient projection method is employed to update the primal and dual variables iteratively. Numerical results are provided to show the convergence properties in a static channel and the tracking ability under time-varying Rayleigh channels.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125334362","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: 9
Quickest distributed detection via running consensus 通过运行共识实现最快的分布式检测
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42396
P. Braca, S. Maranò, V. Matta, P. Willett
{"title":"Quickest distributed detection via running consensus","authors":"P. Braca, S. Maranò, V. Matta, P. Willett","doi":"10.5281/ZENODO.42396","DOIUrl":"https://doi.org/10.5281/ZENODO.42396","url":null,"abstract":"Running consensus is a recently proposed distributed strategy for fostering agreement among sensors of fully flat networks, by interleaving the two stages of measurements and node-to-node communications. Quickest detection is a well-established technique for discovering abrupt changes (if any) in the statistical distribution of the observed data. In this paper we tailor the running consensus idea to the quickest detection problem, to address change-detection issues in distributed inference systems with random and time-varying sensors' connections, in architectures without fusion center. Performance benchmarks are expressed in terms of detection delay and false alarm rate, for which closed form approximations are derived, yielding a simple analytical expression of the operational characteristic of the detector. The proposed system is tested on typical signal processing problems by means of numerical simulations that validate the theoretical analysis.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122758964","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
MMSE speech spectral amplitude estimation assuming non-Gaussian noise 假设非高斯噪声的MMSE语音频谱幅度估计
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42434
Balázs Fodor, T. Fingscheidt
{"title":"MMSE speech spectral amplitude estimation assuming non-Gaussian noise","authors":"Balázs Fodor, T. Fingscheidt","doi":"10.5281/ZENODO.42434","DOIUrl":"https://doi.org/10.5281/ZENODO.42434","url":null,"abstract":"In many applications non-Gaussian noises, such as babble noise, can be observed. In this paper we present a minimum mean square error (MMSE) estimation of the speech spectral amplitude. It principally allows for arbitrary speech spectral amplitude probability density function (pdf) models (Rayleigh, Chi, ...), while the pdf of the noise DFT coefficients is modeled by a Gaussian mixture (GMM). Applying for both approaches an idealized a priori SNR estimator that works well in babble noise, we can show clear improvements compared to the MMSE spectral amplitude estimator with Gaussian noise assumption.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"389 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123358557","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
Spectral imaging for revealing and preserving world cultural heritage 揭示和保存世界文化遗产的光谱成像
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42742
Fenella G. France, M. Toth
{"title":"Spectral imaging for revealing and preserving world cultural heritage","authors":"Fenella G. France, M. Toth","doi":"10.5281/ZENODO.42742","DOIUrl":"https://doi.org/10.5281/ZENODO.42742","url":null,"abstract":"The utilization of spectral imaging for the preservation of cultural heritage has allowed the Library of Congress to develop and adapt methodologies to reveal information from degraded ancient texts and objects. Spectral imaging systems provide a powerful tool for non-invasive, non-contact identification and characterization of pigments, inks, substrates and treatments of artefacts, allowing completely non-destructive analyses for research and preservation. Detecting any changes before they are visible enables the assessment and optimization of display and storage conditions for a range of heritage materials. Advanced processing of significant manuscripts including the Waldseemüller 1507 World Map, Jefferson's draft of the Declaration of Independence, and others have revealed previously non-visible and obscured information, recovering lost scientific and cultural knowledge that forms the basis of modern society.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122900964","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
Real-time wildfire detection using correlation descriptors 使用相关描述符的实时野火检测
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42544
Y. H. Habiboglu, Osman Günay, A. Cetin
{"title":"Real-time wildfire detection using correlation descriptors","authors":"Y. H. Habiboglu, Osman Günay, A. Cetin","doi":"10.5281/ZENODO.42544","DOIUrl":"https://doi.org/10.5281/ZENODO.42544","url":null,"abstract":"A video based wildfire detection system that based on spatio-temporal correlation descriptors is developed. During the initial stages of wildfires smoke plume becomes visible before the flames. The proposed method uses background subtraction and color thresholds to find the smoke colored slow moving regions in video. These regions are divided into spatio-temporal blocks and correlation features are extracted from the blocks. Property sets that represent both the spatial and the temporal characteristics of smoke regions are used to form correlation descriptors. An SVM classifier is trained and tested with descriptors obtained from video data containing smoke and smoke colored objects. Experimental results are presented.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126465946","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: 50
Localization in wireless networks based on jointly compressed sensing 基于联合压缩感知的无线网络定位
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42563
Sofia Nikitaki, P. Tsakalides
{"title":"Localization in wireless networks based on jointly compressed sensing","authors":"Sofia Nikitaki, P. Tsakalides","doi":"10.5281/ZENODO.42563","DOIUrl":"https://doi.org/10.5281/ZENODO.42563","url":null,"abstract":"Location sensing is fundamental for supporting wireless communications services. This paper exploits the signal correlation structure observed in an indoor localization environment in order to provide accurate position estimation by means of a limited amount of signal-strength measurements. Because the mobile devices have limited processing power and battery capacity, the proposed received signal-strength localization protocol avoids putting on extra computational overhead on the mobile device by performing the position estimation at the Access Points (APs). Since the APs observe correlated signals from the mobile devices, the introduced method exploits the common structure of the received measurements in order to jointly estimate the positions precisely. The evaluation of the proposed protocol is performed on real laboratory data through experiments that quantify the impact of the system parameters on the location error.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131457142","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: 32
Common error hierarchical NLMS algorithm 常见错误分层NLMS算法
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42308
Mark Raifel, Amos Schreibman, Yaakov Cemal
{"title":"Common error hierarchical NLMS algorithm","authors":"Mark Raifel, Amos Schreibman, Yaakov Cemal","doi":"10.5281/ZENODO.42308","DOIUrl":"https://doi.org/10.5281/ZENODO.42308","url":null,"abstract":"Two-stage common error hierarchical normalized least-mean-square (NLMS) algorithm is presented in the context of network echo cancellers and sparse systems. The suggested adaptive filter structure is generic, uses a common error feedback for both stages, and is applicable with any type of error minimization technique. The simulation results show that the two-stage method exploits the sparseness of the system better than the proportionate NLMS (PNLMS) while keeping the initial convergence rate intact and improving the steady state convergence time significantly.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116280098","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
Digital video stabilization system by adaptive fuzzy filtering 基于自适应模糊滤波的数字视频稳像系统
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42300
M. Tanakian, M. Rezaei, F. Mohanna
{"title":"Digital video stabilization system by adaptive fuzzy filtering","authors":"M. Tanakian, M. Rezaei, F. Mohanna","doi":"10.5281/ZENODO.42300","DOIUrl":"https://doi.org/10.5281/ZENODO.42300","url":null,"abstract":"Digital video stabilization (DVS) allows acquiring video sequences without disturbing jerkiness, removing unwanted camera movements. In this paper, we propose a novel DVS algorithm that adaptively compensates the camera jitters utilizing an adaptive fuzzy filter on the global motion of video frames. The adaptive fuzzy filter is a simple infinite impulse response (IIR) filter which is tuned adaptively by a fuzzy system. The fuzzy system has two inputs which are used as quantitative representations of unwanted and intentional camera motion. The fuzzy system is also tuned adaptively during operation according to the characteristics of camera jitters. The global motion of video frames is estimated based on the block motion vectors which are resulted by video en-coder during motion estimation operation. The proposed method also utilizes an adaptive criterion for validating of motion vectors. Experimental results have indicated a good performance for the proposed DVS algorithm.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115077794","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: 9
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