DocumentCode :
2051868
Title :
YACBIR: Yet Another Content Based Image Retrieval System
Author :
Ait-Aoudia, Samy ; Mahiou, Ramdane ; Benzaid, Billel
Author_Institution :
ESI Ecole Nat. Super. en Inf., Algiers, Algeria
fYear :
2010
fDate :
26-29 July 2010
Firstpage :
570
Lastpage :
575
Abstract :
Vision is central in human perception. Images are everywhere. Real life applications produce and use huge amounts of different types images. Retrieving an image having some characteristics in a big database is a crucial task. We need then mechanisms for indexing and retrieving images. CBIR (Content Based Image Retrieval) systems perform these tasks by indexing images using the physical characteristics automatically extracted and searching by an image query. We will present a CBIR system named YACBIR (Yet Another CBIR) that combines several properties (color, texture and points of interest) extracted automatically to index and retrieve images.
Keywords :
content-based retrieval; image colour analysis; image retrieval; image texture; indexing; feature extraction; human perception; image color; image query; image texture; indexing; points of interest; yet another content based image retrieval system; Image color analysis; Image retrieval; Indexing; Shape measurement; Visualization; Weight measurement; CBIR (Content Based Image Retrieval) system; Indexing Images; Retrieving Images; Similarity measure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualisation (IV), 2010 14th International Conference
Conference_Location :
London
ISSN :
1550-6037
Print_ISBN :
978-1-4244-7846-0
Type :
conf
DOI :
10.1109/IV.2010.83
Filename :
5571134
Link To Document :
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