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  1. University of Computer Studies, Yangon
  2. Conferences

Text Block Segmentation for Image Search System

http://hdl.handle.net/20.500.12678/0000004781
http://hdl.handle.net/20.500.12678/0000004781
d0a8f7b6-c943-434d-afaf-202acb93d5fd
81356bae-7295-4236-ac6d-bf62a0b52b36
Publication type
Article
Upload type
Publication
Title
Title Text Block Segmentation for Image Search System
Language en
Publication date 2013-02-26
Authors
Maung, Su Su
Aung, Nyein Myint Myint
Description
This paper presents the text block segmentation for image search system.Web pages are segmented into blocks for getting the text with images. Text block with images are later used as captions of images and hence plays an important factor for image search. Text block segmentation is performed for image indexing using combination of document object model (DOM) Tree and semantic relevancebetween text blocks.Relatedness between text blocks are computed based semantic relevance between terms. DOM tree is widely used in XML parsing. In this paper, HTML tags are used in building DOM tree for web page segmentation. Semantic similarity is computed based on their word hierarchy to the root and hence improving performance of the system. Semantic based text block segmentation is calculated using WordNet dictionary.
Keywords
DOM Tree, Text Block Segmentation, Semantic Relevance
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/670
Journal articles
Eleventh International Conference On Computer Applications (ICCA 2013)
Conference papers
Books/reports/chapters
Thesis/dissertations
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