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Volumn , Issue , 2008, Pages 24-30

SpiritTagger: A Geo-aware tag suggestion tool mined from Flickr

Author keywords

Data mining; Geotagging; Image annotation; Photo collections; Social media

Indexed keywords

BASELINE IMAGES; CONTENT-BASED; DATA SETS; IMAGE ANNOTATION; KNOWLEDGE DISCOVERY; LOS ANGELES; PHOTO COLLECTIONS; PRECISION-RECALL PERFORMANCE; RE-RANKING; RETRIEVAL SYSTEMS; SOCIAL MEDIA; SOUTHERN CALIFORNIA;

EID: 70450237806     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1460096.1460102     Document Type: Conference Paper
Times cited : (73)

References (18)
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    • E. Kasutani and A. Yamada. The MPEG-7 Color Layout Descriptor: A Compact Image Feature Description for High-Speed Image/Video Segment Retrieval. In IEEE International Conference on Image Processing, pages 674-677, 2001.
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    • How Flickr helps us make sense of the world: Context and content in community-contributed media collections
    • New York, NY, USA, ACM
    • L. Kennedy, M. Naaman, S. Ahern, R. Nair, and T. Rattenbury. How Flickr Helps Us Make Sense of the World: Context and Content in Community-Contributed Media Collections. In Proceedings of ACM Multimedia, pages 631-640, New York, NY, USA, 2007. ACM.
    • (2007) Proceedings of ACM Multimedia , pp. 631-640
    • Kennedy, L.1    Naaman, M.2    Ahern, S.3    Nair, R.4    Rattenbury, T.5
  • 6
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    • Lowe, D.1
  • 8
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    • From where to what: Metadata sharing for digital photographs with geographic coordinates
    • In R. Meersman, Z. Tari, and D. C. Schmidt, editors, volume 2888 of Lecture Notes in Computer Science, Springer
    • M. Naaman, A. Paepcke, and H. Garcia-Molina. From Where to What: Metadata Sharing for Digital Photographs with Geographic Coordinates. In R. Meersman, Z. Tari, and D. C. Schmidt, editors, CoopIS/DOA/ODBASE, volume 2888 of Lecture Notes in Computer Science, pages 196-217. Springer, 2003.
    • (2003) CoopIS/DOA/ODBASE , pp. 196-217
    • Naaman, M.1    Paepcke, A.2    Garcia-Molina, H.3
  • 12
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    • Using dependent regions for object categorization in a generative framework
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    • G. Wang, Y. Zhang, and L. Fei-Fei. Using Dependent Regions for Object Categorization in a Generative Framework. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pages 1597-1604, Washington, DC, USA, 2006. IEEE Computer Society.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.