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Volumn , Issue , 2008, Pages 58-65

Semantics in digital photos: A contenxtual analysis

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER GRAPHICS; DIGITAL ARITHMETIC; IMAGE PROCESSING; IMAGING TECHNIQUES; MULTIMEDIA SYSTEMS; PHOTOGRAPHY; SEMANTICS;

EID: 52149102237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSC.2008.87     Document Type: Conference Paper
Times cited : (9)

References (22)
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    • Boutell, M.1    Luo, J.2
  • 6
    • 0038401728 scopus 로고    scopus 로고
    • Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
    • P. Duygulu, K. Barnard, N. de Freitas, and D. Forsyth. Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In Proc. ECCV, 2002.
    • (2002) Proc. ECCV
    • Duygulu, P.1    Barnard, K.2    de Freitas, N.3    Forsyth, D.4
  • 7
    • 0032269108 scopus 로고    scopus 로고
    • How many clusters? which clustering method? answers via model based cluster analysis
    • C. Fraley and A. Raftery. How many clusters? which clustering method? answers via model based cluster analysis. The Computer Journal, 1998.
    • (1998) The Computer Journal
    • Fraley, C.1    Raftery, A.2
  • 8
    • 0033334698 scopus 로고    scopus 로고
    • Advancing content-based image retrieval by exploiting image color and region features
    • Y. Gong. Advancing content-based image retrieval by exploiting image color and region features. Multimedia Systems, 7(6):449-457, 1999.
    • (1999) Multimedia Systems , vol.7 , Issue.6 , pp. 449-457
    • Gong, Y.1
  • 9
    • 1542347786 scopus 로고    scopus 로고
    • Automatic image annotation and retrieval using cross-media relevance models
    • J. Jeon, V. Lavrenko, and R. Manmatha. Automatic image annotation and retrieval using cross-media relevance models. In Proc. ACM SIGIR, 2003.
    • (2003) Proc. ACM SIGIR
    • Jeon, J.1    Lavrenko, V.2    Manmatha, R.3
  • 11
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scaleinvariant key points
    • D. G. Lowe. Distinctive image features from scaleinvariant key points. International Journal of Computer Vision, 60:91-110, 2004.
    • (2004) International Journal of Computer Vision , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 12
    • 0030213052 scopus 로고    scopus 로고
    • Texture features for browsing and retrieval of image data
    • B. Manjunath and W. Ma. Texture features for browsing and retrieval of image data. IEEE Transactions in PAMI, 18:837-842, 1996.
    • (1996) IEEE Transactions in PAMI , vol.18 , pp. 837-842
    • Manjunath, B.1    Ma, W.2
  • 13
    • 0002332781 scopus 로고    scopus 로고
    • Improving text classification by shrinkage in a hierarchy of classes
    • A. McCallum, R. Rosenfeld, T. Mitchell, and A. Ng. Improving text classification by shrinkage in a hierarchy of classes. In Proc. ICML, 1998.
    • (1998) Proc. ICML
    • McCallum, A.1    Rosenfeld, R.2    Mitchell, T.3    Ng, A.4
  • 14
    • 0000120766 scopus 로고
    • Estimating dimensions of a model
    • G. Schwarz. Estimating dimensions of a model. The Annals of Statistics, 6:461-464, 1978.
    • (1978) The Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 17
    • 52149089196 scopus 로고    scopus 로고
    • EXIF: Exchangeable image file format for digital cameras: Exif version 2.2. Technical report, Japan Electronics and Information Technology Industries Association, 2002
    • EXIF: Exchangeable image file format for digital cameras: Exif version 2.2. Technical report, Japan Electronics and Information Technology Industries Association, 2002.
  • 18
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    • http://www.flickr.com/.
  • 19
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    • http://http://www.flickr.com/photos/tags/.
  • 20
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    • http://www.ics.uci.edu/psinha/dataset.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.