Genetic Algorithm-Enhanced Retrieval Process for Multimedia Data

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dc.creatorCheruiyot, Wilson
dc.creatorTan, Guan Z.
dc.creatorMushi, Joseph C.
dc.creatorMusau, Felix
dc.date2016-07-25T17:51:34Z
dc.date2016-07-25T17:51:34Z
dc.date2011
dc.date.accessioned2018-03-27T08:52:58Z
dc.date.available2018-03-27T08:52:58Z
dc.descriptionThe 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.identifierWilson, 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.identifierhttp://hdl.handle.net/20.500.11810/3430
dc.identifier10.4156/ijact.vol3.issue3.15
dc.identifier.urihttp://hdl.handle.net/20.500.11810/3430
dc.languageen
dc.subjectMultimedia information retrieval
dc.subjectSimilarity search
dc.subjectGenetic algorithms
dc.subjectSingular value decomposition
dc.subjectHistogram equalization
dc.subjectQuery quality refinement
dc.titleGenetic Algorithm-Enhanced Retrieval Process for Multimedia Data
dc.typeJournal Article, Peer Reviewed

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