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Multimedia Documents Segmentation and Classification
http://hdl.handle.net/20.500.12678/0000004953
a8c4eb2f-8211-4262-ae6d-3ddd238ac61f
1bd25276-0d68-4b97-ad5e-7e4adf6490eb
Name / File | License | Actions | |
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Publication type | Article | |||||
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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 |