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Web news categorization using a cross-media document graph
2009
Proceeding of the ACM International Conference on Image and Video Retrieval - CIVR '09
In this paper we propose a multimedia categorization framework that is able to exploit information across different parts of a multimedia document (e.g., a Web page, a PDF, a Microsoft Office document). For example, a Web news page is composed by text describing some event (e.g., a car accident) and a picture containing additional information regarding the real extent of the event (e.g., how damaged the car is) or providing evidence corroborating the text part. The framework handles multimedia
doi:10.1145/1646396.1646431
dblp:conf/civr/IriaCM09
fatcat:2g6g6v7kdfbt7p5bewia55nosa