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Multimedia Documents Segmentation and Classification

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dc.contributor.author Hlaing, Cho Thida
dc.date.accessioned 2019-07-12T05:00:08Z
dc.date.available 2019-07-12T05:00:08Z
dc.date.issued 2010-12-16
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/854
dc.description.abstract Document page segmentation and classification are important parts of the document analysis process. Page segmentation is that the page is decomposed into blocks. It is also called “page decomposition” or “zoning”. The goal of page classification is to label these blocks according to their contents. In this paper, multimedia documents segmentation and document’s features classification is presented. Multimedia documents usually consist of a mixture of text, graphic, and image. One-scan run-length smearing algorithm with block merging is emphasized for document segmentation task. This smearing algorithm is a document page segmentation algorithm using a bottom-up approach. Document classification task is performed based on features of text, graphic and image. Separation and classification of text, graphic, and image are advantageous in reproducing, transmitting storing the multimedia document and extraction different parts of document. en_US
dc.language.iso en en_US
dc.publisher Fifth Local Conference on Parallel and Soft Computing en_US
dc.title Multimedia Documents Segmentation and Classification en_US
dc.type Article en_US


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