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  1. University of Computer Studies, Yangon
  2. Conferences

Multimedia Documents Segmentation and Classification

http://hdl.handle.net/20.500.12678/0000004953
a8c4eb2f-8211-4262-ae6d-3ddd238ac61f
1bd25276-0d68-4b97-ad5e-7e4adf6490eb
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psc2010paper psc2010paper (131).pdf (144 Kb)
Publication type Article
Upload type Publication
Title
Multimedia Documents Segmentation and Classification
en
Publication date 2010-12-16
Authors
Hlaing, Cho Thida
Description
Document page segmentation andclassification are important parts of the documentanalysis process. Page segmentation is that the pageis decomposed into blocks. It is also called “pagedecomposition” or “zoning”. The goal of pageclassification is to label these blocks according totheir contents. In this paper, multimedia documentssegmentation and document’s features classificationis presented. Multimedia documents usually consistof a mixture of text, graphic, and image. One-scanrun-length smearing algorithm with block merging isemphasized for document segmentation task. Thissmearing algorithm is a document page segmentationalgorithm using a bottom-up approach. Documentclassification task is performed based on features oftext, graphic and image. Separation andclassification of text, graphic, and image areadvantageous in reproducing, transmitting storingthe multimedia document and extraction differentparts of document.
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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