LEADER 06434nam 22008535 450 001 9910484618803321 005 20251226203047.0 010 $a1-280-38727-0 010 $a9786613565198 010 $a3-642-13728-8 024 7 $a10.1007/978-3-642-13728-0 035 $a(CKB)2670000000028946 035 $a(SSID)ssj0000446503 035 $a(PQKBManifestationID)11312981 035 $a(PQKBTitleCode)TC0000446503 035 $a(PQKBWorkID)10496051 035 $a(PQKB)10150510 035 $a(DE-He213)978-3-642-13728-0 035 $a(MiAaPQ)EBC3065423 035 $a(PPN)149063997 035 $a(EXLCZ)992670000000028946 100 $a20100619d2010 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGraphics Recognition: Achievements, Challenges, and Evolution $e8th International Workshop, GREC 2009, La Rochelle, France, July 22-23, 2009, Selected Papers /$fedited by Jean-Marc Ogier, Wenyin Liu, Josep Llados 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (291 p. 151 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v6020 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-13727-X 320 $aIncludes bibliographical references and index. 327 $aUse of Perceptive Vision for Ruling Recognition in Ancient Documents -- Fuzzy Intervals for Designing Structural Signature: An Application to Graphic Symbol Recognition -- Interactive Conversion of Web Tables -- Comparing Graph Similarity Measures for Graphical Recognition -- Robust and Precise Circular Arc Detection -- Automatic Palette Identification of Colored Graphics -- Detection of Circular Arcs in a Digital Image Using Chord and Sagitta Properties -- GOAL: Towards Understanding of Graphic Objects from Architectural to Line Drawings -- Extracting Road Vector Data from Raster Maps -- Human Perception in Segmentation of Sketches -- SSP: Sketching Slide Presentations, a Syntactic Approach -- QuickDiagram: A System for Online Sketching and Understanding of Diagrams -- Segmenting and Indexing Old Documents Using a Letter Extraction -- A New Minimum Trees-Based Approach for Shape Matching with Improved Time Computing: Application to Graphical Symbols Recognition -- Unified Pairwise Spatial Relations: An Application to Graphical Symbol Retrieval -- Real Scene Sign Recognition -- Symbol Recognition Using a Concept Lattice of Graphical Patterns -- Touching Text Character Localization in Graphical Documents Using SIFT -- Graphical Drop Caps Indexing -- Content Recognition and Indexing in the LiveMemory Platform -- Segmentation of Colour Layers in Historical Maps Based on Hierarchical Colour Sampling -- A New Image Quality Measure Considering Perceptual Information and Local Spatial Feature -- GREC?09 Arc Segmentation Contest: Performance Evaluation on Old Documents -- A Performance Characterization Algorithm for Symbol Localization -- Graphics Recognition?What Else?. 330 $aThis book contains refereed and improved papers presented at the 8th IAPR Workshop on Graphics Recognition (GREC 2009), held in La Rochelle, France, July 22?23, 2009. The GREC workshops provide an excellent opportunity for researchersand practitionersat all levels of experience to meet colleaguesand to share new ideas and knowledge about graphics recognition methods. Graphics recognition is a sub?eld of document image analysis that deals with graphical entities in engineering drawings, sketches, maps, architectural plans, musical scores, mathematical notation, tables, diagrams, etc. GREC 2009 continued the tradition of past workshops held in the Penn State University, USA (GREC 1995, LNCS Volume 1072, Springer Verlag, 1996); Nancy, France (GREC 1997, LNCS Volume 1389, Springer Verlag, 1998); Jaipur, India (GREC 1999, LNCS Volume 1941, Springer Verlag, 2000); Kingston, Canada (GREC 2001, LNCS Volume 2390, Springer Verlag, 2002); Barcelona, Spain (GREC 2003, LNCS Volume 3088, Springer Verlag, 2004); Hong Kong, China (GREC 2005, LNCS Volume 3926, Springer Verlag, 2006); and (GREC 2007, LNCS Volume 5046, Springer Verlag, 2008). The programof GREC 2009 was organized in a single-track 2-day workshop. It comprised several sessions dedicated to speci?c topics. For each session, there was an invited presentation describing the state of the art and stating the open questions for the session?s topic, followed by a number of short presentations thatcontributedbyproposingsolutionstosomeofthequestionsorbypresenting results ofthe speaker?swork. Eachsessionwas then concludedby a paneldisc- sion. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v6020 606 $aData mining 606 $aApplication software 606 $aPattern recognition systems 606 $aInformation storage and retrieval systems 606 $aComputer vision 606 $aImage processing$xDigital techniques 606 $aData Mining and Knowledge Discovery 606 $aComputer and Information Systems Applications 606 $aAutomated Pattern Recognition 606 $aInformation Storage and Retrieval 606 $aComputer Vision 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 615 0$aData mining. 615 0$aApplication software. 615 0$aPattern recognition systems. 615 0$aInformation storage and retrieval systems. 615 0$aComputer vision. 615 0$aImage processing$xDigital techniques. 615 14$aData Mining and Knowledge Discovery. 615 24$aComputer and Information Systems Applications. 615 24$aAutomated Pattern Recognition. 615 24$aInformation Storage and Retrieval. 615 24$aComputer Vision. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006.42 701 $aOgier$b Jean-Marc$01754972 701 $aLiu$b Wenyin$01754876 701 $aLlados Masllorens$b Josep$01595130 712 12$aGREC 2009 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484618803321 996 $aGraphics Recognition: Achievements, Challenges, and Evolution$94522768 997 $aUNINA