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PERFORMANCE EVALUATION OF ONTOLOGY AND FUZZYBASE CBIR

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    Title: PERFORMANCE EVALUATION OF ONTOLOGY AND FUZZYBASE CBIR
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    Date: 5 / 2013
    Publication type: Journal article
    Authors:
    No. First name Last name Show
    1. Tajman sandhu
    2. Parminder Singh
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    Keywords
    1. CBIR
    2. Texel
    3. fuzzyminmax
    4. precision
    5. recall
    6. texture

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    Abstract

    IN THIS PAPER, WE HAVE DONE PERFORMANCE EVALUATION OF ONTOLOGY USING LOW-LEVEL FEATURES LIKE COLOR, TEXTURE AND SHAPE BASED CBIR, WITH TOPIC SPECIFIC CBIR.THE RESULTING ONTOLOGY CAN BE USED TO EXTRACT THE APPROPRIATE IMAGES FROM THE IMAGE DATABASE. RETRIEVING APPROPRIATE IMAGES FROM AN IMAGE DATABASE IS ONE OF THE DIFFICULT TASKS IN MULTIMEDIA TECHNOLOGY. OUR RESULTS SHOW THAT THE VALUES OF RECALL AND PRECISION CAN BE ENHANCED AND THIS ALSO SHOWS THAT SEMANTIC GAP CAN ALSO BE REDUCED.THE PROPOSED ALGORITHM ALSO EXTRACTS THE TEXTURE VALUES FROM THE IMAGES AUTOMATICALLY WITH ALSO ITS CATEGORY (LIKE SMOOTH, COURSE ETC) AS WELL AS ITS TECHNICAL INTERPRETATION.