Please use this identifier to cite or link to this item: https://doi.org/10.1145/2072298.2072317
Title: News contextualization with geographic and visual information
Authors: Li, Z.
Wang, M. 
Liu, J.
Xu, C.
Lu, H.
Keywords: Image enrichment
News location relevance
NewsMap
Issue Date: 2011
Source: Li, Z.,Wang, M.,Liu, J.,Xu, C.,Lu, H. (2011). News contextualization with geographic and visual information. MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops : 133-142. ScholarBank@NUS Repository. https://doi.org/10.1145/2072298.2072317
Abstract: In this paper, we investigate the contextualization of news documents with geographic and visual information. We propose a matrix factorization approach to analyze the location relevance for each news document. We also propose a method to enrich the document with a set of web images. For location relevance analysis, we first perform toponym extraction and expansion to obtain a toponym list from news documents. We then propose a matrix factorization method to estimate the location-document relevance scores while simultaneously capturing the correlation of locations and documents. For image enrichment, we propose a method to generate multiple queries from each news document for image search and then employ an intelligent fusion approach to collect a set of images from the search results. Based on the location relevance analysis and image enrichment, we introduce a news browsing system named NewsMap which can support users in reading news via browsing a map and retrieving news with location queries. The news documents with the corresponding enriched images are presented to help users quickly get information. Extensive experiments demonstrate the effectiveness of our approaches. © 2011 ACM.
Source Title: MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
URI: http://scholarbank.nus.edu.sg/handle/10635/40340
ISBN: 9781450306164
DOI: 10.1145/2072298.2072317
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