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Genetic Algorithm-Enhanced Retrieval Process for Multimedia Data

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dc.creator Cheruiyot, Wilson
dc.creator Tan, Guan Z.
dc.creator Mushi, Joseph C.
dc.creator Musau, Felix
dc.date 2016-07-25T17:51:34Z
dc.date 2016-07-25T17:51:34Z
dc.date 2011
dc.date.accessioned 2018-03-27T08:52:58Z
dc.date.available 2018-03-27T08:52:58Z
dc.identifier Wilson, C., Tan, G.Z., Mushi, J.C. and Musau, F., 2011. Genetic algorithm-enhanced retrieval process for multimedia data. IJACT: International Journal of Advancements in Computing Technology, 3(3), pp.153-167.
dc.identifier http://hdl.handle.net/20.500.11810/3430
dc.identifier 10.4156/ijact.vol3.issue3.15
dc.identifier.uri http://hdl.handle.net/20.500.11810/3430
dc.description The explosive growth of digital media content from various domains has given rise to the need for efficient techniques for retrieval of relevant information is getting more and more attention, especially in the large-scale Multimedia Digital Database (MDD) applications. It is for this reason that there has been an increased interest in the query reformulation for use in Multimedia Information Retrieval (MIR) using a combination of various techniques. In this paper, we propose a retrieval method that is formalized as an optimized similarity search process that combines Singular Value Decomposition (SVD), Query Quality Refinement (QQR) using Histogram Equalization and Genetic Algorithm (GA) enhancement. Experimental results show that the approach significantly narrows the search process by retrieving similar images satisfying the needs of the user.
dc.language en
dc.subject Multimedia information retrieval
dc.subject Similarity search
dc.subject Genetic algorithms
dc.subject Singular value decomposition
dc.subject Histogram equalization
dc.subject Query quality refinement
dc.title Genetic Algorithm-Enhanced Retrieval Process for Multimedia Data
dc.type Journal Article, Peer Reviewed


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