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Filimage System Web ’ s Images and Texts Automatic Extraction
Content Provider | Semantic Scholar |
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Abstract | This article presents the Filimage system designed for the images automatic extraction and their textual comments available on the web. The problematic, the architecture overview, and processing steps are described. The implementation consists in three sequential processing modules. The decomposition of textual and visual objects is the proposed solution allowing a separate treatment. The contextual exploration method is used for the textual extraction. Text semantic analysis is based on hierarchical textual indices. Automatic Matching and Associating (AMA) strategy produce a short multimedia documents from the full-length web documents. We present the final web site results in the navigator, performance results management and the conclusion. Key-Words: Automatic Matching-Associating (AMA), Contextual exploration, Images-textual comments, Images automatic identification, Semantic filtering. |
File Format | PDF HTM / HTML |
Alternate Webpage(s) | http://www.wseas.us/e-library/conferences/izmir2004/papers/489-464.pdf |
Alternate Webpage(s) | http://wseas.us/e-library/conferences/izmir2004/papers/489-464.pdf |
Language | English |
Access Restriction | Open |
Content Type | Text |
Resource Type | Article |