• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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A Tag Clustering and Recommendation Method for Photo Categorization


Ji-Hyeon Won, Jongwoo Lee, Heemin Park, Journal of Internet Computing and Services, Vol. 14, No. 2, pp. 1-14, Apr. 2013
10.7472/jksii.2013.14.2.1, Full Text:
Keywords: Tag Categorization, Tag Recommendation, clustering, Photo Contents, Photo Management

Abstract

Recent advance and popularization of smart devices and web application services based on cloud computing have made end-users to directly produce and, at the same time, consume the image contents. This leads to demands of unified contents management services. Thus, this paper proposestag clustering method based on semantic similarity for effective image categorization. We calculate the cost of semantic similarity between tags and cluster tags that are closely related. If tags are in a cluster, we suppose that images with them are also in a same cluster. Furthermore, we could recommend tags for new images on the basis of initial clusters.


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Cite this article
[APA Style]
Won, J., Lee, J., & Park, H. (2013). A Tag Clustering and Recommendation Method for Photo Categorization. Journal of Internet Computing and Services, 14(2), 1-14. DOI: 10.7472/jksii.2013.14.2.1.

[IEEE Style]
J. Won, J. Lee, H. Park, "A Tag Clustering and Recommendation Method for Photo Categorization," Journal of Internet Computing and Services, vol. 14, no. 2, pp. 1-14, 2013. DOI: 10.7472/jksii.2013.14.2.1.

[ACM Style]
Ji-Hyeon Won, Jongwoo Lee, and Heemin Park. 2013. A Tag Clustering and Recommendation Method for Photo Categorization. Journal of Internet Computing and Services, 14, 2, (2013), 1-14. DOI: 10.7472/jksii.2013.14.2.1.