메뉴 건너뛰기




Volumn , Issue , 2010, Pages 1707-1710

Towards a universal detector by mining concepts with small semantic gaps

Author keywords

concept detection; concept transfer; semantic gap

Indexed keywords

CO-OCCURRENCE STATISTICS; CONCEPT DETECTION; CONCEPT TRANSFER; DATA SETS; LABELED IMAGES; RECOGNITION ACCURACY; SEMANTIC GAP; SEMANTIC ONTOLOGY; SEMANTIC RELATEDNESS; TRAINING DATA; TRAINING IMAGE; VISUAL MODEL; VISUAL RECOGNITION;

EID: 78650976705     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1873951.1874332     Document Type: Conference Paper
Times cited : (3)

References (17)
  • 1
    • 74049158146 scopus 로고    scopus 로고
    • Nus-wide: A real-world web image database from national university of singapore
    • T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y. Zheng. Nus-wide: A real-world web image database from national university of singapore. In CIVR, 2009.
    • (2009) CIVR
    • Chua, T.1    Tang, J.2    Hong, R.3    Li, H.4    Luo, Z.5    Zheng, Y.6
  • 2
    • 33847710337 scopus 로고    scopus 로고
    • The google similarity distance
    • R. Cilibrasi and P. Vitányi. The google similarity distance. TKDE, 2007.
    • (2007) TKDE
    • Cilibrasi, R.1    Vitányi, P.2
  • 3
    • 85198028989 scopus 로고    scopus 로고
    • Imagenet: A large-scale hierarchical image database
    • J. Deng, W. Dong, R. Socher, L. Li, K. Li, and F. Li. Imagenet: A large-scale hierarchical image database. In CVPR,2009.
    • (2009) CVPR
    • Deng, J.1    Dong, W.2    Socher, R.3    Li, L.4    Li, K.5    Li, F.6
  • 5
  • 7
    • 34547423258 scopus 로고    scopus 로고
    • Incorporating concept ontology to enable probabilistic concept reasoning for multi-level image annotation
    • Y. Gao and J. Fan. Incorporating concept ontology to enable probabilistic concept reasoning for multi-level image annotation. In MIR, 2006.
    • (2006) MIR
    • Gao, Y.1    Fan, J.2
  • 8
    • 51949092342 scopus 로고    scopus 로고
    • Learning and using taxonomies for fast visual categorization
    • G. Griffin and D. Perona. Learning and using taxonomies for fast visual categorization. In CVPR, 2008.
    • (2008) CVPR
    • Griffin, G.1    Perona, D.2
  • 9
    • 72449120342 scopus 로고    scopus 로고
    • Semantic context transfer across heterogeneous sources for domain adaptive video search
    • Y. Jiang, C. Ngo, and S. Chang. Semantic context transfer across heterogeneous sources for domain adaptive video search. In MM, 2009.
    • (2009) MM
    • Jiang, Y.1    Ngo, C.2    Chang, S.3
  • 13
    • 72449199441 scopus 로고    scopus 로고
    • Inferring semantic concepts from community-contributed images and noisy tags
    • J. Tang, S. Yan, R. Hong, G. Qi, and T. Chua. Inferring semantic concepts from community-contributed images and noisy tags. In MM, 2009.
    • (2009) MM
    • Tang, J.1    Yan, S.2    Hong, R.3    Qi, G.4    Chua, T.5
  • 15
    • 85146676791 scopus 로고
    • Verb semantics and lexical selection
    • Z. Wu and M. Palmer. Verb semantics and lexical selection. In ACL, 1994.
    • (1994) ACL
    • Wu, Z.1    Palmer, M.2
  • 16
    • 33846580425 scopus 로고    scopus 로고
    • Local features and kernels for classification of texture and object categories: A comprehensive study
    • J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object categories: A comprehensive study. IJCV, 2007.
    • (2007) IJCV
    • Zhang, J.1    Marszalek, M.2    Lazebnik, S.3    Schmid, C.4
  • 17
    • 50649123564 scopus 로고    scopus 로고
    • Exploiting object hierarchy: Combining models from different category levels
    • A. Zweig and D. Weinshall. Exploiting object hierarchy: Combining models from different category levels. In ICCV, 2007.
    • (2007) ICCV
    • Zweig, A.1    Weinshall, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.