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Lew / Eakins / Sebe

Image and Video Retrieval

International Conference, CIVR 2002, London, UK, July 18-19, 2002. Proceedings

Medium: Buch
ISBN: 978-3-540-43899-1
Verlag: Springer Berlin Heidelberg
Erscheinungstermin: 03.07.2002
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UniversityofFlorence LarryChen KodakResearchLabs JohnP. Eakins UniversityofNorthumbria PeterEnser UniversityofBrighton GrahamFinlayson UniversityofEastAnglia DavidForsyth UCBerkeley TheoGevers UniversityofAmsterdam MargaretGraham UniversityofNorthumbria RichardHarvey UniversityofEastAnglia TomHuang UniversityofIllinoisatUrbana-Champaign JoemonJose UniversityofGlasgow JosefKittler UniversityofSurrey ClementLeung UniversityofMelbourne MichaelS. Lew LIACSMediaLab,LeidenUniversity PaulLewis UniversityofSouthampton StephaneMarchand-Maillet UniversityofGeneva Ji?r´?(George)Matas CVUTPrague MajidMirmehdi UniversityofBristol ChahabNastar LTUtechnologies EricPauwelsKatholieke UniversityofLeuwen MariaPetrou UniversityofSurrey ChrisPorter GettyImages VIII Organization TonyRose ReutersLimited YongRui MicrosoftResearch PhillipeSalembier UniversityofBarcelona StanSclaro? BostonUniversity NicuSebe LIACSMediaLab,LeidenUniversity AlanSmeaton DublinCityUniversity ArnoldSmeulders UniversityofAmsterdam BarryThomas UniversityofBristol Additional Reviewers ErwinBakker LeidenUniversity IraCohen UniversityofIllinoisatUrbana-Champaign AshutoshGarg UniversityofIllinoisatUrbana-Champaign Jan-MarkGeusebroek UniversityofAmsterdam AlanHanjalic DelftUniversityofTechnology VickyHodge UniversityofYork NiesHuijsmans LeidenUniversity ThangPham UniversityofAmsterdam CeesSnoek UniversityofAmsterdam QiTian UniversityofIllinoisatUrbana-Champaign JeroenVendrig UniversityofAmsterdam RoyWang UniversityofIllinoisatUrbana-Champaign ZiyouXiong UniversityofIllinoisatUrbana-Champaign Sponsors TheBritishComputerSociety,InformationRetrievalSpecialistGroup TheBritishMachineVisionAssociation TheInstituteforImageDataResearch,UniversityofNorthumbria TheInstitutionofElectricalEngineers TheLeidenInstituteofAdvancedComputerScience,LeidenUniversity Table of Contents ChallengesofImageandVideoRetrieval. 1 Michael S. Lew,Nicu Sebe,andJohn P. Eakins Image RetrievalI (Oral) Visualization,EstimationandUser-Modeling forInteractiveBrowsingofImageLibraries. 7 QiTian, Baback Moghaddam, and Thomas S. Huang RobustShapeMatching. 17 Nicu Sebeand Michael Lew Semantics-BasedImageRetrievalbyRegionSaliency. 29 WeiWang, YuqingSong,andAidong Zhang TheTruthaboutCorel–EvaluationinImageRetrieval. 38 HenningM¨ uller, Stephane Marchand-Maillet, andThierry Pun Non-retrieval:BlockingPornographicImages. 50 Alison Bosson, Gavin C. Cawley, YiChan, and Richard Harvey ModellingI(Poster) ALinearImage-PairModel andtheAssociatedHypothesisTestforMatching. 61 Gregory Cox andGerhard deJager OntheCoupledForwardandBackwardAnisotropicDi?usionScheme forColorImageEnhancement. 70 Bogdan Smolka andKonstantinosN. Plataniotis MultipleRegionsandTheirSpatialRelationship-BasedImageRetrieval. 81 ByoungChul KoandHyeran Byun Feature Based Retrieval(Poster) QuerybyFaxforContent-BasedImageRetrieval.

Produkteigenschaften

  • Artikelnummer: 9783540438991
  • Medium: Buch
  • ISBN: 978-3-540-43899-1
  • Verlag: Springer Berlin Heidelberg
  • Erscheinungstermin: 03.07.2002
  • Sprache(n): Englisch
  • Auflage: 2002
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert
  • Gewicht: 1260 g
  • Seiten: 392
  • Format (B x H x T): 155 x 235 x 23 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

Evaluation of salient point techniques.- Challenges of Image and Video Retrieval.- Image Retrieval I (Oral).- Visualization, Estimation and User-Modeling for Interactive Browsing of Image Libraries.- Robust Shape Matching.- Semantics-Based Image Retrieval by Region Saliency.- The Truth about Corel - Evaluation in Image Retrieval.- Non-retrieval: Blocking Pornographic Images.- Modelling I (Poster).- A Linear Image-Pair Model and the Associated Hypothesis Test for Matching.- On the Coupled Forward and Backward Anisotropic Diffusion Scheme for Color Image Enhancement.- Multiple Regions and Their Spatial Relationship-Based Image Retrieval.- Feature Based Retrieval (Poster).- Query by Fax for Content-Based Image Retrieval.- Spectrally Layered Color Indexing.- Using an Image Retrieval System for Vision-Based Mobile Robot Localization.- JPEG Image Retrieval Based on Features from DCT Domain.- Image Retrieval Methods for a Database of Funeral Monuments.- Semantics/Learning I (Poster).- AtomsNet: Multimedia Peer2Peer File Sharing.- Visual Clustering of Trademarks Using the Self-Organizing Map.- FACERET: An Interactive Face Retrieval System Based on Self-Organizing Maps.- Object-Based Image Retrieval Using Hierarchical Shape Descriptor.- Video Retrieval (Oral).- Multimodal Person Identification in Movies.- Automated Scene Matching in Movies.- Content Based Analysis for Video from Snooker Broadcasts.- Retrieval of Archival Moving Imagery - CBIR Outside the Frame?.- Challenges for Content-Based Navigation of Digital Video in the Físchlár Digital Library.- Image Retrieval II (Oral).- Spin Images and Neural Networks for Efficient Content-Based Retrieval in 3D Object Databases.- Size Functions for Image Retrieval: A Demonstrator on Randomly Generated Curves.- An Efficient Coding ofThree Dimensional Colour Distributions for Image Retrieval.- Content-Based Retrieval of Historical Watermark Images: I-tracings.- Semantics/Learning II (Poster).- Object Recognition for Video Retrieval.- Semantic Video Retrieval Using Audio Analysis.- Extracting Semantic Information from Basketball Video Based on Audio-Visual Features.- Video Indexing and Retrieval for Archeological Digital Library, CLIOH.- Fast k-NN Image Search with Self-Organizing Maps.- Video Retrieval by Feature Learning in Key Frames.- Modelling II (Poster).- Local Affine Frames for Image Retrieval.- A Ranking Algorithm Using Dynamic Clustering for Content-Based Image Retrieval.- Online Bayesian Video Summarization and Linking.- Face Detection for Video Summaries.- Evaluation/Benchmarking (Poster).- A Method for Evaluating the Performance of Content-Based Image Retrieval Systems Based on Subjectively Determined Similarity between Images.- Evaluation of Salient Point Techniques.- Personal Construct Theory as a Research Tool for Analysing User Perceptions of Photographs.