ADVANCED RELEVANCE FEEDBACK STRATEGY FOR PRECISE IMAGE RETRIEVAL
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.6, No. 1)Publication Date: 2015-01-26
Authors : A. A. KHODASKARA; S. A. LADHAKEB;
Page : 61-71
Keywords : Iaeme Publication; IAEME; Technology; Engineering; IJCET; Content based image retrieval; Decision tree;
Abstract
Relevance feedback is effective technique for bridging the semantic gap in image retrieval which diminish semantic gap between low-level visual features and high-level semantic concepts for image retrieval. Currently, crucial image retrieval system is content-based image retrieval. To improve performance of proposed content based image retrieval system, automatic relevance feedback technique is proposed which base d on inductive learning involve inductive concept learning by decision tree. We implement and tested proposed image retrieval system which refine the retrieval result as per user requirement until get required accuracy. Experimental result shows improved performance in term of precision, re call and accuracy.
Other Latest Articles
- ENTITY RESOLUTION FOR HIERARCHICAL DATA USING ATTRIBUTES VALUE COMPARISON OVER DISTRIBUTED DATABASE
- ANALYSIS OF CONTRAST CONCENTRATION FOR RADIOLOGICAL IMAGES USING CBIR FRAMEWORK
- SURVEY ON LOAD BALANCING AND DATA SKEW MITIGATION IN MAPREDUCE APPLICATIONS
- EFFECT OF FUNCTIONAL INTERVAL ENDURANCE TRAINING PROGRAMME ON CARDIO-RESPIRATORY ENDURANCE AND MUSCULAR ENDURANCE OF TRIPURA CRICKETERS
- AN APPROACH FOR COLOR IMAGE COMPRESSION OF BMP AND TIFF IMAGES USING DCT AND DWT
Last modified: 2016-05-27 20:27:02