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Volumn , Issue , 2009, Pages 9-16

Understanding tag-cloud and visual features for better annotation of concepts in NUS-WIDE dataset

Author keywords

Concept prediction; Large scale date set; Tag; Visual feature

Indexed keywords

ADAPTIVE FEATURE SELECTION; ANNOTATION PERFORMANCE; BAYES THEORY; CO-OCCURRENCE; CO-OCCURRENCE-MATRIX; DATA SETS; GROUND TRUTH; MANUAL ANNOTATION; SELECTION METHODS; VISUAL FEATURE; WEB IMAGES; WORDNET;

EID: 72249106177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631135.1631138     Document Type: Conference Paper
Times cited : (3)

References (18)
  • 1
    • 0032455864 scopus 로고    scopus 로고
    • On image classification: City images vs. landscapes
    • A. V. Anil, A. Jain, and H. J. Zhang. On image classification: City images vs. landscapes. Pattern Recognition, 31:1921-1935, 1998.
    • (1998) Pattern Recognition , vol.31 , pp. 1921-1935
    • Anil, A.V.1    Jain, A.2    Zhang, H.J.3
  • 6
    • 84898410178 scopus 로고    scopus 로고
    • Word co-occurrence and markov random fields for improving automatic image annotation
    • H. J. Escalante, M. Montes, and L. E. Sucar. Word co-occurrence and markov random fields for improving automatic image annotation. BMVC, 2007.
    • (2007) BMVC
    • Escalante, H.J.1    Montes, M.2    Sucar, L.E.3
  • 12
    • 33750543296 scopus 로고    scopus 로고
    • Ontology for nature-scene image retrieval
    • S. Liu, L.-T. Chia, and S. Chan. Ontology for nature-scene image retrieval. In CoopIS/DOA/ODBASE (2), pages 1050-1061, 2004.
    • (2004) CoopIS/DOA/ODBASE (2) , pp. 1050-1061
    • Liu, S.1    Chia, L.-T.2    Chan, S.3
  • 13
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60:91-110, 2004.
    • (2004) International Journal of Computer Vision , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 15
    • 0345414182 scopus 로고    scopus 로고
    • Video Google: A Text Retrieval Approach to Object Matching in Videos
    • October
    • J. Sivic and A. Zisserman. Video Google: A Text Retrieval Approach to Object Matching in Videos. In Proceedings of IEEE ICCV, October 2003.
    • (2003) Proceedings of IEEE , vol.204
    • Sivic, J.1    Zisserman, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.