메뉴 건너뛰기




Volumn , Issue , 2006, Pages 112-134

Automatic and semi-automatic techniques for image annotation

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84900618320     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59904-370-8.ch006     Document Type: Chapter
Times cited : (2)

References (39)
  • 2
    • 84857603957 scopus 로고    scopus 로고
    • Semantic knowledge construction from annotated image collection
    • Lausanne, Switzerland
    • Benitez, A., & Chang, S. F. (2002). Semantic knowledge construction from annotated image collection. In Proceedings of the IEEE Conference on Multimedia, Lausanne, Switzerland (pp. 205-208).
    • (2002) Proceedings of the IEEE Conference On Multimedia , pp. 205-208
    • Benitez, A.1    Chang, S.F.2
  • 7
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance learning with axis-parallel rectangles
    • Dietterich, T., Lathrop, R., & Lozano-Perez, T. (1997). Solving the multiple instance learning with axis-parallel rectangles. Artificial Intelligence, 89(1-2), 31-71.
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.1    Lathrop, R.2    Lozano-Perez, T.3
  • 9
    • 13444263705 scopus 로고    scopus 로고
    • A bootstrapping framework for annotating and retrieving WWW images
    • New York
    • Feng, H., Shi, R., & Chua, T. (2004). A bootstrapping framework for annotating and retrieving WWW images. In Proceedings of the ACM Conference on Multimedia, New York (pp. 960-967).
    • (2004) Proceedings of the ACM Conference On Multimedia , pp. 960-967
    • Feng, H.1    Shi, R.2    Chua, T.3
  • 10
    • 0029375609 scopus 로고
    • Query by image and video content: The QBIC system
    • Flickner, M., et al. (1995). Query by image and video content: The QBIC system. IEEE Computer, 28(9), 23-32.
    • (1995) IEEE Computer , vol.28 , Issue.9 , pp. 23-32
    • Flickner, M.1
  • 11
    • 0001138328 scopus 로고
    • A K-means clustering algorithm
    • Hartigan, J., & Wong, M. (1979). A K-means clustering algorithm. Applied Statistics, 28(1), 100-108.
    • (1979) Applied Statistics , vol.28 , Issue.1 , pp. 100-108
    • Hartigan, J.1    Wong, M.2
  • 13
    • 0003860888 scopus 로고    scopus 로고
    • Learning and representing topic: A hierarchical mixture model for word occurrence in document databases
    • Pittsburgh, PA
    • Hofmann, T. (1998). Learning and representing topic: A hierarchical mixture model for word occurrence in document databases. In Proceedings of the Workshop on Learning from Text and Web, Pittsburgh, PA.
    • (1998) Proceedings of the Workshop On Learning From Text and Web
    • Hofmann, T.1
  • 16
    • 1542347786 scopus 로고    scopus 로고
    • Automatic image annotation and retrieval using cross-media relevance models
    • Toronto, Canada
    • Jeon, J., Lavrenko, V., & Manmatha, R. (2003). Automatic image annotation and retrieval using cross-media relevance models. In Proceedings of the ACM Conference on SIGIR, Toronto, Canada (pp. 119-126).
    • (2003) Proceedings of the ACM Conference On SIGIR , pp. 119-126
    • Jeon, J.1    Lavrenko, V.2    Manmatha, R.3
  • 17
    • 13444292911 scopus 로고    scopus 로고
    • Effective automatic image annotation via a coherent language model and active learning
    • New York
    • Jin, R., Chai, J., & Si, L. (2004). Effective automatic image annotation via a coherent language model and active learning. In Proceedings of the ACM Conference on Multimedia, New York (pp. 892-899).
    • (2004) Proceedings of the ACM Conference On Multimedia , pp. 892-899
    • Jin, R.1    Chai, J.2    Si, L.3
  • 18
    • 13444302332 scopus 로고    scopus 로고
    • A semi-naïve Bayesian method incorporating clustering with pair-wise constraints for auto image annotation
    • New York
    • Jin, W., Shi, R., & Chua, T. (2004). A semi-naïve Bayesian method incorporating clustering with pair-wise constraints for auto image annotation. In Proceedings of the ACM Conference on Multimedia, New York (pp. 336-339).
    • (2004) Proceedings of the ACM Conference On Multimedia , pp. 336-339
    • Jin, W.1    Shi, R.2    Chua, T.3
  • 22
    • 0034245909 scopus 로고    scopus 로고
    • Multiresolution image classification by hierarchical modeling with two dimensional hidden markov models
    • Li, J., Gray, R., & Olshen, R. A. (2000). Multiresolution image classification by hierarchical modeling with two dimensional hidden markov models. IEEE Transactions on Information Theory, 34(5), 1826-1841.
    • (2000) IEEE Transactions On Information Theory , vol.34 , Issue.5 , pp. 1826-1841
    • Li, J.1    Gray, R.2    Olshen, R.A.3
  • 23
    • 0141836773 scopus 로고    scopus 로고
    • Automatic linguistic indexing of pictures by a statistical modeling approach
    • Li, J., & Wang, J. (2003). Automatic linguistic indexing of pictures by a statistical modeling approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9), 1075-1088.
    • (2003) IEEE Transactions On Pattern Analysis and Machine Intelligence , vol.25 , Issue.9 , pp. 1075-1088
    • Li, J.1    Wang, J.2
  • 24
    • 0035396575 scopus 로고    scopus 로고
    • Aria: An agent for annotating and retrieving images
    • Lieberman, H., Rosenzweig, E., & Singh, P. (2001). Aria: An agent for annotating and retrieving images. IEEE Computer, 34(7), 57-61.
    • (2001) IEEE Computer , vol.34 , Issue.7 , pp. 57-61
    • Lieberman, H.1    Rosenzweig, E.2    Singh, P.3
  • 25
    • 84976702763 scopus 로고
    • WordNet: A lexical database for English
    • Miller, G. (1995). WordNet: A lexical database for English. Communications of the ACM, 38(11), 39-41.
    • (1995) Communications of the ACM , vol.38 , Issue.11 , pp. 39-41
    • Miller, G.1
  • 26
    • 0030287048 scopus 로고    scopus 로고
    • The expectation-maximization algorithm
    • Moon, T. (1996). The expectation-maximization algorithm. IEEE Signal Processing, 13(6), 47-60.
    • (1996) IEEE Signal Processing , vol.13 , Issue.6 , pp. 47-60
    • Moon, T.1
  • 28
    • 33749375181 scopus 로고    scopus 로고
    • A cluster-based approach for efficient content-based image retrieval using a similarity-preserving space transformation method
    • Shah, B., Raghavan, V., Dhatric, P., & Zhao, X. (2006). A cluster-based approach for efficient content-based image retrieval using a similarity-preserving space transformation method. Journal of the American Society for Information Science and Technology, 57(12), 1694-1707.
    • (2006) Journal of the American Society For Information Science and Technology , vol.57 , Issue.12 , pp. 1694-1707
    • Shah, B.1    Raghavan, V.2    Dhatric, P.3    Zhao, X.4
  • 31
    • 84941285221 scopus 로고    scopus 로고
    • Automatic semantic annotation and retrieval based on sharable ontology and case-based learning techniques
    • Houston, TX
    • Soo, V., Lee, C., Li, C., Chen, S., & Chen, C. (2003). Automatic semantic annotation and retrieval based on sharable ontology and case-based learning techniques. In Proceedings of the Joint Conference on Digital Libraries, Houston, TX (61-72).
    • (2003) Proceedings of the Joint Conference On Digital Libraries , pp. 61-72
    • Soo, V.1    Lee, C.2    Li, C.3    Chen, S.4    Chen, C.5
  • 32
    • 0005979014 scopus 로고    scopus 로고
    • Show&Tell: A semi-automated image annotation system
    • Srihari, R., & Zhang, Z. (2000). Show&Tell: A semi-automated image annotation system. IEEE Multimedia, 7(3), 61-71.
    • (2000) IEEE Multimedia , vol.7 , Issue.3 , pp. 61-71
    • Srihari, R.1    Zhang, Z.2
  • 33
  • 37
    • 20444503043 scopus 로고    scopus 로고
    • Automatic image annotation and retrieval using subspace clustering algorithm
    • Washington, DC
    • Wang, L., Liu, L., & Khan, L. (2004). Automatic image annotation and retrieval using subspace clustering algorithm. In Proceedings of the Workshop on Multimedia Databases, Washington, DC (pp. 100-108).
    • (2004) Proceedings of the Workshop On Multimedia Databases , pp. 100-108
    • Wang, L.1    Liu, L.2    Khan, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.