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Content-Based Multimedia Information Retrieval for Unstructured Data
http://hdl.handle.net/20.500.12678/0000004569
http://hdl.handle.net/20.500.12678/0000004569446b480d-9f9c-4b3a-ae04-9103eb8f6f74
2d304169-0933-40a0-b995-298b7831cb8d
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Article | ||||||
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Title | ||||||
Title | Content-Based Multimedia Information Retrieval for Unstructured Data | |||||
Language | en | |||||
Publication date | 2011-03-02 | |||||
Authors | ||||||
Aye, Kyar Nyo | ||||||
Thein, Ni Lar | ||||||
Description | ||||||
The Internet is a huge collection of data thatis highly unstructured which makes it extremelydifficult to search and retrieve valuableinformation. Due to the massive number ofunstructured data, multimedia search enginesthat search and rank them based on theirrelevance to user queries become essential forinformation seeking. In other words, high searchefficiency is one of the key design andimplementation objectives of multimedia searchengines. In this paper, we propose efficientindexing and search system for unstructured databy combining text-based information retrievaland content-based information retrieval methods. | ||||||
Keywords | ||||||
unstructured data, text-based information retrieval, content-based information retrieval, multimedia search engine | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/249 | |||||
Journal articles | ||||||
Ninth International Conference on Computer Applications (ICCA 2011) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |