Associating Faces and Names in Japanese Photo News Articles on the Web

Kitahara, Akio; Joutou, Taichi; Yanai, Keiji

doi:10.1109/waina.2008.97

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…The application of face recognition techniques to the problem of automatic annotation of news-or of captioned images-has gained large interest in recent years [1], [2], [3], [4], [5], [6]. This problem is particularly challenging because it involves faces captured in broadly varying configurations with respect to viewpoint, expression, illumination and so on.…”

Section: Related Workmentioning

confidence: 99%

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Automatic Face Annotation in News Images by Mining the Web

Medvet

Bartoli

Davanzo

et al. 2011

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology

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We consider the automatic annotation of faces of people mentioned in news. News stories provide a constant flow of potentially useful image indexing information, due to their huge diffusion on the web and to the involvement of human operators in selecting relevant images for the stories. In this work we investigate the possibility of actually exploiting this wealth of information.\ud We propose and evaluate a system for automatic face annotation of image news that is fully unsupervised and does not require any prior knowledge about topic or people involved. Key feature of our proposal is that it attempts to identify the essential piece of information---how a person with a given name looks like---by querying popular image search engines. Mining the web allows overcoming intrinsic limitations of approaches built above a predefined collection of stories: our system can potentially annotate people never handled before since its knowledge base is constantly expanded, as long as search engines keep on indexing the web. On the other hand, leveraging on image search engines forces to cope with the substantial amount of noise in search engine results. Our contribution shows experimentally that automatic face annotation may indeed be achieved based entirely on knowledge that lives in the web

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Section: Related Workmentioning

confidence: 99%

“…A similar approach is proposed by [3]. This work focuses on Japanese news, hence a Japanese morphological analyzer is used in order to extract person names from text.…”

Section: Related Workmentioning

confidence: 99%