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Performance Evaluation of Ontology and Fuzzybase CBIR

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Author(s): Tajman sandhu | Parminder Singh

Journal: Advanced Computing : an International Journal
ISSN 2229-726X

Volume: 4;
Issue: 3;
Start page: 39;
Date: 2013;
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Keywords: CBIR | fuzzyminmax | recall | precision | Texel | texture

ABSTRACT
IN THIS PAPER,WE HAVE DONE PERFORMANCE EVALUATION OF ONTOLOGY USING LOW-LEVEL FEATURES LIKECOLOR,TEXTURE AND SHAPE BASEDCBIR,WITH TOPIC SPECIFICCBIR.THE RESULTING ONTOLOGY CAN BE USEDTO EXTRACT THE APPROPRIATE IMAGES FROM THE IMAGE DATABASE.RETRIEVING APPROPRIATE IMAGES FROM ANIMAGE DATABASE IS ONE OF THE DIFFICULT TASKS IN MULTIMEDIA TECHNOLOGY.OUR RESULTS SHOW THAT THEVALUES OF RECALL AND PRECISION CAN BE ENHANCED AND THIS ALSO SHOWS THAT SEMANTIC GAP CAN ALSO BEREDUCED.THE PROPOSED ALGORITHM ALSO EXTRACTS THE TEXTURE VALUES FROM THE IMAGES AUTOMATICALLYWITH ALSO ITS CATEGORY(LIKE SMOOTH,COURSE ETC)AS WELL AS ITS TECHNICAL INTERPRETATION
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