Study on Image Retrieval Based on Active Feedback

Kun Geng

doi:10.4028/www.scientific.net/AMR.805-806.1891

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Fault Detection of Carbide Anvil Based on Hurst Exponent and BP Neural Network
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Research on Experimentation of Real-Time Dynamic Scene Simulation Based on UML
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Study on Image Retrieval Based on Active Feedback
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The Location Model of the Electric Vehicle Charging Station Based on Simulated Annealing Algorithm
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Preprocessing and Feature Extraction, Coding, Matching Algorithm for Fingerprint Image
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Application of QR Code Rebuild Library Integration Community
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Research and Application of K-DOPS Algorithm in Virtual Maintenance Training System for Diesel Engine
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 805-806Study on Image Retrieval Based on Active Feedback

Study on Image Retrieval Based on Active Feedback

Abstract:

Content-based image retrieval, limiting its functionality and semantics. In order to study a new method, this study, with the representative image for more information on user feedback, positive feedback framework proposes two new components called the representative image selection and label propagation. A very large image acquisition experimental result demonstrates the high electiveness positive feedback framework proposal.