Search results for " image processing."

showing 10 items of 2265 documents

Proc. of SPIE, Optics, Photonics, and Digital Technologies for Multimedia Applications II

2012

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]imaging[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingoptics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingimage processing
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Online Multi-object Tracking Combining Optical Flow and Compressive Tracking for Intelligent Vehicles

2017

International audience; no abstract

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.AUTO] Engineering Sciences [physics]/Automatic[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][ SPI.AUTO ] Engineering Sciences [physics]/Automatic[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS[SPI.AUTO]Engineering Sciences [physics]/Automatic[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Hybrid Model/data-Driven Fault Detection and Exclusion for a Decentralized Cooperative Multi-Robot System

2022

International audience

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.AUTO] Engineering Sciences [physics]/Automatic[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing[SPI.AUTO]Engineering Sciences [physics]/Automatic
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Using Visual Saliency for Object Tracking with Particle Filters

2010

International audience; This paper presents a robust tracking method based on the integration of visual saliency information into the particle filter framework. While particle filter has been successfully used for tracking non-rigid objects, it shows poor performances in the presence of large illumination variation, occlusions and when the target object and background have similar color distributions. We show that considering saliency information significantly improves the performance of particle filter based tracking. In particular, the proposed method is robust against occlusion and large illumination variation while requiring a reduced number of particles. Experimental results demonstrate th…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]particle filters0202 electrical engineering electronic engineering information engineeringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineering020201 artificial intelligence & image processing02 engineering and technologytracking[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMethodologies_COMPUTERGRAPHICSvisual saliency
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Adding Semantic Extension to Wikis for Enhancing Cultural Heritage Applications

2011

International audience; Wikis are appropriate systems for community-authored content. In the past few years, they show that are particularly suitable for collaborative works in cultural heritage. In this paper, we highlight how wikis can be relevant solutions for building cooperative applications in domains characterized by a rapid evolution of knowledge. We will point out the capabilities of semantic extension to provide better quality of content, to improve searching, to support complex queries and finally to carry out di fferent type of users. We describe the CARE project and explain the conceptual modeling approach. We detail the architecture of WikiBridge, a semantic wiki which allows …

[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Point (typography)Computer sciencemedia_common.quotation_subject02 engineering and technologyExtension (predicate logic)Ontology (information science)computer.software_genreOntology engineeringCultural heritageWorld Wide WebConsistency (database systems)[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]020204 information systems11. Sustainability0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]020201 artificial intelligence & image processingQuality (business)Architecturecomputermedia_common
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Query-preserving watermarking of relational databases and XML documents

2011

Watermarking allows robust and unobtrusive insertion of information in a digital document. During the last few years, techniques have been proposed for watermarking relational databases or Xml documents, where information insertion must preserve a specific measure on data (for example the mean and variance of numerical attributes). In this article we investigate the problem of watermarking databases or Xml while preserving a set of parametric queries in a specified language, up to an acceptable distortion. We first show that unrestricted databases can not be watermarked while preserving trivial parametric queries. We then exhibit query languages and classes of structures that allow guarante…

[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Theoretical computer scienceInformation retrievalcomputer.internet_protocolRelational databaseComputer science0102 computer and information sciences02 engineering and technologyQuery language01 natural sciencesVC dimension[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Computational learning theory010201 computation theory & mathematicsBounded function0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Graph (abstract data type)020201 artificial intelligence & image processingcomputerDigital watermarkingComputingMilieux_MISCELLANEOUSXMLInformation SystemsParametric statisticsProceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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Semantic Mappings in Description Logics for Spatio-temporal Database Schema Integration

2005

International audience; The interoperability problem arises in heterogeneous systems where different data sources coexist and there is a need for meaningful information sharing. One of the most representive realms of diversity of data representation is the spatio-temporal domain. Spatio-temporal data are most often described according to multiple and greatly diverse perceptions or viewpoints, using different terms and with heterogeneous levels of detail. Reconciling this heterogeneity to build a fully integrated database is known to be a complex and currently unresolved problem, and few formal approaches exist for the integration of spatio-temporal databases. The paper discusses the interope…

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Theoretical computer scienceComputer scienceNCCR-MICSmedia_common.quotation_subjectNCCR-MICS/CL4Database schema[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]02 engineering and technologyExternal Data RepresentationConceptual schemaDescription logicSemantic mapping020204 information systems0202 electrical engineering electronic engineering information engineeringConceptual model[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]020201 artificial intelligence & image processingSemantic Webmedia_commonInformation integration
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Multiple Structured Light-Based Depth Sensors for Human Motion Analysis: A Review

2012

Human motion analysis is an increasingly important active research domain with various applications in surveillance, human-machine interaction and human posture analysis. The recent developments in depth sensor technology, especially with the release of the Kinect device, have attracted significant attention to the question of how to take advantage of this technology in order to achieve accurate motion tracking and action detection in marker-less approaches. In this paper, we review the benefits and limitations deriving from the adoption of structured light-based depth sensors in human motion analysis applications. Surveying the relevant literature, we have identified in calibration, interf…

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]Computer sciencebusiness.industry[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHuman Motion Analysis020207 software engineering02 engineering and technologyInterference (wave propagation)Human motionDomain (software engineering)Match movingMultiple depth sensorsCalibration0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionBias correctionArtificial intelligenceInterferencebusinessComputingMilieux_MISCELLANEOUSStructured light[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]
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Evolutionary-based 3D reconstruction using an uncalibrated stereovision system: application of building a panoramic object view

2010

In this paper, we propose an original evolutionary-based method for 3D panoramic reconstruction from an uncalibrated stereovision system (USS). The USS is composed of five cameras located on an arc of a circle around the object to be analyzed. The main originality of this work concerns the process of the calculation of the 3D information. Actually, with our method, 3D coordinates are directly obtained without any prior estimation of the fundamental matrix. The method operates in two steps. Firstly, points of interest are detected in pairs of images acquired by two consecutive cameras of the USS are matched. And secondly, using evolutionary algorithms, we jointly compute the transformed matr…

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]Object viewComputer Networks and CommunicationsComputer sciencebusiness.industry3D reconstruction[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]020207 software engineering02 engineering and technologyHardware and Architecture0202 electrical engineering electronic engineering information engineeringMedia Technology020201 artificial intelligence & image processingComputer visionArtificial intelligenceFundamental matrix (computer vision)businessSoftwareComputingMilieux_MISCELLANEOUS[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]
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Study and Comparison of Surface Roughness Measurements

2014

Journées du Groupe de Travail en Modélisation Géométrique (GTMG'14), Lyon; This survey paper focus on recent researches whose goal is to optimize treatments on 3D meshes, thanks to a study of their surface features, and more precisely their roughness and saliency. Applications like watermarking or lossy compression can benefit from a precise roughness detection, to better hide the watermarks or quantize coarsely these areas, without altering visually the shape. Despite investigations on scale dependence leading to multi-scale approaches, an accurate roughness or pattern characterization is still lacking, but challenging for those treatments. We think there is still room for investigations t…

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]watermarking.quality assessmentsaliencywatermarking[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]simplificationvisual perceptionsmoothing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingfeature-preservingcompression[ PHYS.PHYS.PHYS-DATA-AN ] Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an]multi-scale analysisvisual masking3D mesh[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[PHYS.PHYS.PHYS-DATA-AN] Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an][PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an][ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]roughness[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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