Slim-Tree and Bitmatrix Index Structures in Image Retrieval System Using Mpeg-7 Descriptors

dc.authorscopusid 57197344375
dc.authorscopusid 57767747500
dc.authorscopusid 7005892047
dc.authorscopusid 7004305370
dc.contributor.author Açar,E.
dc.contributor.author Arslan,S.
dc.contributor.author Yazici,A.
dc.contributor.author Koyuncu,M.
dc.contributor.other Software Engineering
dc.contributor.other Avionics
dc.contributor.other Information Systems Engineering
dc.date.accessioned 2024-09-10T21:34:39Z
dc.date.available 2024-09-10T21:34:39Z
dc.date.issued 2008
dc.department Atılım University en_US
dc.department-temp Açar E., Dept. of Computer Engineering, Middle East Technical University, Ankara, Turkey; Arslan S., Dept. of Computer Engineering, Middle East Technical University, Ankara, Turkey; Yazici A., Dept. of Computer Engineering, Middle East Technical University, Ankara, Turkey; Koyuncu M., Dept. of Computer Engineering, Atilim University, Ankara, Turkey en_US
dc.description COST292 Action on Semantic Multimodal Analysis of Digital Media; Multimedia and Vision Research Group at Queen Mary, Univ. London; K-Space; X-MEDIA en_US
dc.description.abstract Content-based retrieval of multimedia data has still been an active research area. The efficient retrieval in natural images has been proven a difficult task for content-based image retrieval systems. In this paper, we present a system that adapts two different index structures, namely Slim-Tree and BitMatrix, for efficient retrieval of images based on multidimensional low-level features such as color, texture and shape. These index structures also use metric space. We use MPEG-7 Descriptors extracted from images to represent these features and store them in a native XML database. The low-level features; Color Layout (CL), Dominant Color (DC), Edge Histogram (EH) and Region Shape (RS) are used in Slim-Tree and BitMatrix and aggregated by Ordered Weighted Averaging (OWA) method to find final similarity between any two objects. The experiments included in the paper are in the subject of index construction and update, query response time and retrieval effectiveness using ANMRR performance metric and precision/recall scores. The experimental results strengthen the case that uses BitMatrix along with Ordered Weighted Averaging method in content-based image retrieval systems. ©2008 IEEE. en_US
dc.identifier.citationcount 7
dc.identifier.doi 10.1109/CBMI.2008.4564975
dc.identifier.endpage 409 en_US
dc.identifier.isbn 978-142442044-5
dc.identifier.startpage 402 en_US
dc.identifier.uri https://doi.org/10.1109/CBMI.2008.4564975
dc.identifier.uri https://hdl.handle.net/20.500.14411/7338
dc.institutionauthor Yazıcı, Ali
dc.institutionauthor Arslan, Sarper
dc.institutionauthor Koyuncu, Murat
dc.language.iso en en_US
dc.relation.ispartof 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings -- 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008 -- 18 June 2008 through 20 June 2008 -- London -- 73450 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject BitMatrix en_US
dc.subject Content-based image retrieval en_US
dc.subject MPEG-7 en_US
dc.subject OWA en_US
dc.subject Slim-tree en_US
dc.subject XML database en_US
dc.title Slim-Tree and Bitmatrix Index Structures in Image Retrieval System Using Mpeg-7 Descriptors en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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