Genetic Algorithm-Enhanced Retrieval Process for Multimedia Data

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dc.contributor.authorFelix Musau
dc.contributor.authorJoseph Cosmas Mushi
dc.contributor.authorGuan-Zheng Tan
dc.contributor.authorCheruiyot W. Kipruto
dc.date.accessioned2024-08-14T06:30:00Z
dc.date.available2024-08-14T06:30:00Z
dc.date.issued2011-04
dc.description.abstractThe 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.identifier.citationCheruiyot, W., Tan, G. Z., Musau, F., & Mushi, J. C. (2011). Genetic Algorithm-Enhanced Retrieval Process for Multimedia Data. In International Journal of Advancements in Computing Technology 3(3). doi:10.4156/ijact
dc.identifier.urihttps://repository.ru.ac.ke/handle/123456789/50
dc.language.isoen
dc.publisherInternational Journal of Advancements in Computing Technology
dc.relation.ispartofseriesVolume 3, Number 3.
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.typeArticle

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