Full metadata record
DC FieldValueLanguage
dc.contributor.authorPakdee, Siriprapa
dc.contributor.authorKanongchaiyos, Pizzanu
dc.contributor.editorSkala, Václav
dc.identifier.citationWSCG '2007: Short Communications Proceedings: The 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2007 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, January 29 – February 1, 2007, p. 257-264.en
dc.description.abstractEfficiency of cartoon motion retrieval depends on indexing method. Keyword based indexing methods for restoring cartoon motion is simple, but sometimes the process of addressing index to the desired motion is not trivial. Although the methods based on clustering clips of motions or keyframes can be used for retrieval automatically, the complexity of time and reliability depend on size of the database. This research proposes a method for biped cartoon motion retrieval using state vectors of keyframes as the motion indexes. The state vectors derived from the input motion is quantized by our enhanced LBG Algorithm to compute the proper number of indexes for the set of input keyframes. The results show that not only the precision and recall of the cartoon motion retrieval is increased accurately but the process for restoring and retrieval is also performed automatically.en
dc.format8 s.cs
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2007: Short Communications Proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectpočítačová animacecs
dc.subjectkvantizace vektorůcs
dc.subjectvektor stavucs
dc.subjectLBG algoritmuscs
dc.subjectkreslené filmycs
dc.subjectvyhledávání pohybucs
dc.titleBiped Cartoon Retrieval Using LBG-Algorithm Based State Vector Quantizationen
dc.typekonferenční příspěvekcs
dc.subject.translatedcomputer animationen
dc.subject.translatedvector quantizationen
dc.subject.translatedstate vectoren
dc.subject.translatedLBG algorithmen
dc.subject.translatedmotion retrievalen
Appears in Collections:WSCG '2007: Short Communications Proceedings

Files in This Item:
File Description SizeFormat 
Pakdee.pdfPlný text399,12 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11189

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.