Journal of Internet Computing and Services (인터넷정보학회논문지)

Korean Society for Internet Information (한국인터넷정보학회)
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A Tag Clustering and Recommendation Method for Photo Categorization

사진 콘텐츠 분류를 위한 태그 클러스터링 기법 및 태그 추천

  • Won, Ji-Hyeon (Dept. of Multimedia Science, Sookmyung Women's University) ;
  • Lee, Jongwoo (Dept. of Multimedia Science, Sookmyung Women's University) ;
  • Park, Heemin (Dept. of Computer Software Engineering, Sangmyung University)
  • Received : 2012.12.03
  • Accepted : 2013.03.20
  • Published : 2013.04.30
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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.

개인이 사용할 수 있는 스마트 기기가 다양해지면서 여러 기기로 생산된 사진 콘텐츠가 어떤 기준이나 규칙 없이 분산되어 있어 콘텐츠를 관리하고 원하는 콘텐츠를 검색하는 것이 어려워졌다. 따라서 본 논문에서는 개인 사진 콘텐츠를 효과적으로 분류하기 위하여 의미적 유사도를 기반으로 한 태그 클러스터링 기법과 개인이 사진에 태그를 넣을 때 초기 클러스터를 기반으로 태그를 추천하는 방법을 제안한다. 태그들 사이의 유사도를 계산하여 서로 관련이 있다고 판단되는 태그들을 클러스터링 하는데, 태그가 같은 클러스터에 포함되어 있으면 그 태그를 가진 사진들도 유사성을 가진다고 볼 수 있으므로 개인 사진들을 의미에 따라 분류하는데 이용할 수 있다. 또한 분류된 초기 클러스터로 태그를 추천하여 개인 사용자가 태그를 분류에 맞게 추가할 수 있어 사진 분류 관리가 용이해진다.

Keywords

References

  1. Yu Zheng, Longhao Wang, Ruochi Zhang, Xing Xie and Wei-Ying Ma, "GeoLife: Managing and Understanding Your Past Life over Maps", Mobile Data Management, pp. 211-212, 2008.
  2. Song, Tae Houn, Jeong, Soon Mook, Kim, Hyung Min, Kwon, Key Ho, Jeon, Jae Wook, "Direct Share: Photo Management System Based on Round-robin Concept-driven User Preference Feedback", KSII, the Korean Society for Internet Information, pp. 1346-1367, 2011. https://doi.org/10.3837/tiis.2011.07.008
  3. Picasa Web Album [Online]. Available: https://picasaweb.google.com/
  4. Flickr [Online]. Available: http://www.flickr.com/
  5. Till Quack , Bastian Leibe , Luc Van Gool, "World-scale Mining of Objects and Events from. Community Photo Collections", Proceedings 7th ACM international conference on image and video retrieval - CIVR '08, pp. 47-56, 2008.
  6. Hong M. Chen, Ming H. Chang, Ping C. Chang, Ming C. Tien, Winston H. Hsu, Ja L. Wu, "SheepDog - Group and Tag Recommendation for Flickr Photos by Automatic Search-based Learning", In MM '08: Proceeding of the 16th ACM international conference on Multimedia, pp. 737-740, 2008
  7. Mianwei Zhou, Shenghua Bao, Xian Wu and Yong Yu, "An Unsupervised Model for Exploring Hierarchical Semantics from Social Annotations", ISWC'07/ASWC'07, pp. 680-693, 2007.
  8. Grigory Begelman et. Al, "Automated Tag Clustering: Improving search and exploration in the tag space", In Proc. of the Collaborative Web Tagging Workshop at WWW'06, 2006.
  9. Onur Kucuktunc, Sare G. Sevil, A. Burak Tosun, Hilal Zitouni, Pinar Duygulu, and Fazli Can, "Tag Suggestr: Automatic Photo Tag Expansion Using Visual Information for Photo Sharing Websites", SEMANTIC MULTIMEDIA, pp. 61-73, 2008.
  10. Hyunwoo Kim, Kangpyo Lee, Hyung-Joo Kim, "Tag Recommendation Algorithms in Tagging System", Journal of KIISE: Computing Practices and Letters, Vol. 16, No. 9, pp. 927-935, 2010.
  11. WordNet::Similarity [Online]. Available:http://marimba.d.umn.edu/cgi-bin/similarity/similarity.cgi
  12. Siddharth Patwardhan, Satanjeev Banerjee, Ted Pedersen, "Using Measures of Semantic Relatedness for Word Sense Disambiguation", Springer, Computational Linguistics and Intelligent Text Processing, pp 241-257, 2003.
  13. Christiane Fellbaum, "WordNet", Springer, Theory and Applications of Ontology: Computer Applications, pp 231-243, 2010.
  14. Genetic algorithm [Online]. Available: http://en.wikipedia.org/wiki/Genetic_algorithm.