메뉴 건너뛰기




Volumn , Issue , 2010, Pages 10-17

Unsupervised multi-feature tag relevance learning for social image retrieval

Author keywords

Multi feature; Social image retrieval; Tag relevance learning

Indexed keywords

BORDA COUNT; DIVERSE FEATURES; GLOBAL FEATURE; LOCAL FEATURE; MULTI-FEATURE; MULTIPLE FEATURES; RELEVANCE LEARNING; SOCIAL IMAGE RETRIEVAL; TEST SETS; TRAINING DATA; UNSUPERVISED METHOD; VISUAL CONTENT; VISUAL FEATURE;

EID: 77955879220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1816041.1816044     Document Type: Conference Paper
Times cited : (75)

References (28)
  • 1
  • 4
    • 74049158146 scopus 로고    scopus 로고
    • NUS-WIDE: A real-world web image database from national university of Singapore
    • T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y.-T. Zheng. NUS-WIDE: A real-world web image database from National University of Singapore. In CIVR, 2009.
    • (2009) CIVR
    • Chua, T.-S.1    Tang, J.2    Hong, R.3    Li, H.4    Luo, Z.5    Zheng, Y.-T.6
  • 5
    • 72449176360 scopus 로고    scopus 로고
    • Image categorization combining neighborhood methods and boosting
    • M. Cooper. Image categorization combining neighborhood methods and boosting. In ACM MM Workshop on LS-MMRM, 2009.
    • (2009) ACM MM Workshop on LS-MMRM
    • Cooper, M.1
  • 6
    • 43249093335 scopus 로고    scopus 로고
    • Image retrieval: Ideas, influences, and trends of the new age
    • R. Datta, D. Joshi, J. Li, and J. Wang. Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Survey, 40(2):1-60, 2008.
    • (2008) ACM Computing Survey , vol.40 , Issue.2 , pp. 1-60
    • Datta, R.1    Joshi, D.2    Li, J.3    Wang, J.4
  • 7
    • 4644367942 scopus 로고    scopus 로고
    • An efficient boosting algorithm for combining preferences
    • Y. Freund, R. Iyer, R. Schapire, and Y. Singer. An efficient boosting algorithm for combining preferences. J. Mach. Learn. Res., 4:933-969, 2003.
    • (2003) J. Mach. Learn. Res. , vol.4 , pp. 933-969
    • Freund, Y.1    Iyer, R.2    Schapire, R.3    Singer, Y.4
  • 8
    • 77953202699 scopus 로고    scopus 로고
    • TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation
    • M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid. TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. In ICCV, 2009.
    • (2009) ICCV
    • Guillaumin, M.1    Mensink, T.2    Verbeek, J.3    Schmid, C.4
  • 11
    • 34548220895 scopus 로고    scopus 로고
    • Reranking methods for visual search
    • W. Hsu, L. Kennedy, and S.-F. Chang. Reranking methods for visual search. IEEE MM, 14(3):14-22, 2007.
    • (2007) IEEE MM , vol.14 , Issue.3 , pp. 14-22
    • Hsu, W.1    Kennedy, L.2    Chang, S.-F.3
  • 14
    • 54849392900 scopus 로고    scopus 로고
    • VisualRank: Applying PageRank to large-scale image search
    • Y. Jing and S. Baluja. VisualRank: Applying PageRank to large-scale image search. IEEE Trans. Pattern Anal. Mach. Intell., 30(11):1877-1890, 2008.
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.11 , pp. 1877-1890
    • Jing, Y.1    Baluja, S.2
  • 15
    • 72249109140 scopus 로고    scopus 로고
    • Reliable tags using image similarity: Mining specificity and expertise from large-scale multimedia databases
    • L. Kennedy, M. Slaney, and K. Weinberger. Reliable tags using image similarity: mining specificity and expertise from large-scale multimedia databases. In ACM MM Workshop on WSMC, 2009.
    • (2009) ACM MM Workshop on WSMC
    • Kennedy, L.1    Slaney, M.2    Weinberger, K.3
  • 16
    • 43249117136 scopus 로고    scopus 로고
    • Real-time computerized annotation of pictures
    • J. Li and J. Wang. Real-time computerized annotation of pictures. IEEE Trans. Pattern Anal. Mach. Intell., 30(6):985-1002, 2008.
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.6 , pp. 985-1002
    • Li, J.1    Wang, J.2
  • 17
    • 77955879448 scopus 로고    scopus 로고
    • Learning tag relevance by neighbor voting for social image retrieval
    • X. Li, C. Snoek, and M. Worring. Learning tag relevance by neighbor voting for social image retrieval. In ACM MIR, 2008.
    • (2008) ACM MIR
    • Li, X.1    Snoek, C.2    Worring, M.3
  • 18
    • 70350333307 scopus 로고    scopus 로고
    • Learning social tag relevance by neighbor voting
    • X. Li, C. Snoek, and M. Worring. Learning social tag relevance by neighbor voting. IEEE Trans. MM, 11(7):1310-1322, 2009.
    • (2009) IEEE Trans. MM , vol.11 , Issue.7 , pp. 1310-1322
    • Li, X.1    Snoek, C.2    Worring, M.3
  • 20
    • 51949102761 scopus 로고    scopus 로고
    • What are the high-level concepts with small semantic gaps?
    • Y. Lu, L. Zhang, Q. Tian, and W.-Y. Ma. What are the high-level concepts with small semantic gaps? In CVPR, 2008.
    • (2008) CVPR
    • Lu, Y.1    Zhang, L.2    Tian, Q.3    Ma, W.-Y.4
  • 21
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • A. Oliva and A. Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope. Int. J. Comput. Vision, 42(3):145-175, 2001.
    • (2001) Int. J. Comput. Vision , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 22
    • 84905187313 scopus 로고    scopus 로고
    • Boosting image retrieval through aggregating search results based on visual annotations
    • X. Olivares, M. Ciaramita, and R. van Zwol. Boosting image retrieval through aggregating search results based on visual annotations. In ACM MM, 2008.
    • (2008) ACM MM
    • Olivares, X.1    Ciaramita, M.2    Van Zwol, R.3
  • 24
    • 1042300809 scopus 로고    scopus 로고
    • Boosting image retrieval
    • K. Tieu and P. Viola. Boosting image retrieval. Int. J. Comput. Vision, 56(1-2):17-36, 2004.
    • (2004) Int. J. Comput. Vision , vol.56 , Issue.1-2 , pp. 17-36
    • Tieu, K.1    Viola, P.2
  • 25
    • 74049096094 scopus 로고    scopus 로고
    • Real-time bag-of-words, approximately
    • J. Uijlings, A. Smeulders, and R. Scha. Real-time bag-of-words, approximately. In CIVR, 2009.
    • (2009) CIVR
    • Uijlings, J.1    Smeulders, A.2    Scha, R.3
  • 27
    • 77955883621 scopus 로고    scopus 로고
    • Tag refinement by regularized LDA
    • H. Xu, J. Wang, X.-S. Hua, and S. Li. Tag refinement by regularized LDA. In ACM MM, 2009.
    • (2009) ACM MM
    • Xu, H.1    Wang, J.2    Hua, X.-S.3    Li, S.4
  • 28
    • 0036448175 scopus 로고    scopus 로고
    • Color texture moment for content-based image retrieval
    • H. Yu, M. Li, H.-J. Zhang, and J. Feng. Color texture moment for content-based image retrieval. In ICIP, 2002.
    • (2002) ICIP
    • Yu, H.1    Li, M.2    Zhang, H.-J.3    Feng, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.