Discovering image-text associations for cross-media web information fusion

Discovering image-text associations for cross-media web information fusion

The diverse and distributed nature of the information published on the World Wide Web has made it difficult to collate and track information related to specific topics. Whereas most existing work on web information fusion has focused on multiple document summarization, this paper presents a novel ap...

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Bibliographic Details
Main Authors: JIANG, Tao, TAN, Ah-Hwee
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2006
Subjects:
Textual feature
text segment
document summarization
Linear Mixture Model
Databases and Information Systems
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/6770
https://ink.library.smu.edu.sg/context/sis_research/article/7773/viewcontent/Jiang_Tan2006_Chapter_DiscoveringImage_TextAssociati.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/6770
https://ink.library.smu.edu.sg/context/sis_research/article/7773/viewcontent/Jiang_Tan2006_Chapter_DiscoveringImage_TextAssociati.pdf

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