Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Lin, Tsong-Wuu | |
dc.contributor.author | Hung, Chung-Shen | |
dc.contributor.editor | Jorge, Joaquim | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2013-12-20T11:21:18Z | |
dc.date.available | 2013-12-20T11:21:18Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | WSCG '2006: Full Papers Proceedings: The 14-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2006: University of West Bohemia, Plzen, Czech Republic, January 31 – February 2, 2006, p. 209-216. | en |
dc.identifier.isbn | 80-86943-03-8 | |
dc.identifier.uri | http://wscg.zcu.cz/WSCG2006/Papers_2006/Full/!WSCG2006_Full_Proceedings_Final.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/6650 | |
dc.description.abstract | In this paper, we propose an image retrieval approach based on Quadrant Motif Scan (QMS). Motif scans from segmented blocks inside an image are the primary notion to extract image features. We exploit recursive quadrant segmentation in images and stratify hierarchical regions for matching comparison. Regions in the same stratum hold an identical credit, which is used for similarity metric. For the sake of matching flexibility, a dynamic adjustment scheme of credit setting is offered. In this sense, a user can arbitrarily adjust the credit parameters to pursue better retrieval results. Besides, a peak inspection technique is also added in the QMS matching metric to enhance performance. This means can helpfully refine retrieval performance with trivial computational cost. Experimental results reveal that effectiveness and efficiency of QMS are comparable to the Motif Cooccurrence Matrix (MCM) method while QMS is competent to deal with image scaling. | en |
dc.format | 8 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | cs |
dc.relation.ispartofseries | WSCG '2006: Full Papers Proceedings | en |
dc.rights | © Václav Skala - UNION Agency | en |
dc.subject | obsahové vyhledávání | cs |
dc.subject | vyhledávání obrazů | cs |
dc.subject | segmentace kvadrantů | cs |
dc.title | Quadrant Motif Approach for Image Retrieval | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | content search | en |
dc.subject.translated | image retrieval | en |
dc.subject.translated | quadrant segmentation | en |
dc.type.status | Peer-reviewed | en |
dc.type.driver | info:eu-repo/semantics/conferenceObject | en |
dc.type.driver | info:eu-repo/semantics/publishedVersion | en |
Vyskytuje se v kolekcích: | WSCG '2006: Full Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Lin.pdf | Plný text | 544,26 kB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/6650
Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.