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  • 标题:Markovian Semantic Indexing:Application to Online Image Retrieval System
  • 本地全文:下载
  • 作者:K. Naresh Kumar ; K. Krishna Reddy
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:3
  • 页码:872-878
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Markovsemantic indexing algorithm based on the controlled Markov chain modeling framework. Controlled Markov chain models are used to describe the temporal evolution of low-level visual descriptors extracted from the semantic indexing model. Propose a semantic indexing algorithm which uses both text and image retrieval system.The entire user Queries selected by randomly. An image retrieval system is a computer system for browsing, searching and retrieving images from a large image database. The new method, that we call Markovian Semantic Indexing (MSI), is presented in the context of an online image retrieval system.
  • 关键词:Semantic indexing;controlled ; Markovchains
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