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Volumn , Issue , 2008, Pages

Learning TRECVID'08 high-level features from YouTube™

Author keywords

[No Author keywords available]

Indexed keywords

CONCEPT DETECTION; HIGH-LEVEL FEATURES; HIGH-QUALITY STANDARDS; IN-DEPTH ANALYSIS; MANUAL ANNOTATION; PERFORMANCE LOSS; TRAINING SETS; VIDEO MATERIAL;

EID: 84905169804     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (27)
  • 3
  • 6
    • 77957951513 scopus 로고    scopus 로고
    • Bag-of-Visual-Words Models for Adult Image Classification and Filtering
    • Pattern Recognition (accepted for publication), December
    • T. Deselaers, L. Pimenidis, and H. Ney. Bag-of-Visual-Words Models for Adult Image Classification and Filtering. In Proc. Int. Conf. Pattern Recognition (accepted for publication), December 2008.
    • Proc. Int. Conf , pp. 2008
    • Deselaers, T.1    Pimenidis, L.2    Ney, H.3
  • 8
    • 36849020538 scopus 로고    scopus 로고
    • How many High-Level Concepts will Fill the Semantic Gap in News Video Retrieval?
    • Jul
    • A. Hauptmann, R. Yan, and W. Lin. How many High-Level Concepts will Fill the Semantic Gap in News Video Retrieval? In Proc. Int. Conf. Image and Video Retrieval, pages 627-634, Jul 2007.
    • (2007) Proc. Int. Conf. Image and Video Retrieval , pp. 627-634
    • Hauptmann, A.1    Yan, R.2    Lin, W.3
  • 9
    • 33845572523 scopus 로고    scopus 로고
    • Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
    • June
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. In Proc. Int. Conf. Computer Vision and Pattern Recognition, pages 2169-2178, June 2006.
    • (2006) Proc. Int. Conf. Computer Vision and Pattern Recognition , pp. 2169-2178
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 10
    • 0000236023 scopus 로고    scopus 로고
    • Reliable Transition Detection in Videos: A Survey and Practitioner's Guide
    • 469-286
    • R. Lienhart. Reliable Transition Detection in Videos: A Survey and Practitioner's Guide. Int. J. of Img. and Graph., 1(3):469-286, 2001.
    • (2001) Int. J. of Img. and Graph , vol.1 , Issue.3
    • Lienhart, R.1
  • 11
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive Image Features from Scale-Invariant Keypoints
    • D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. Int. J. Comput. Vis., 60(2):91-110, 2004.
    • (2004) Int. J. Comput. Vis , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 16
    • 0000120766 scopus 로고
    • Estimating the Dimension of a Model
    • G. Schwarz. Estimating the Dimension of a Model. Ann. of Stat., 2(6):461-464, 1978.
    • (1978) Ann. of Stat , vol.2 , Issue.6 , pp. 461-464
    • Schwarz, G.1
  • 26
    • 84905198745 scopus 로고    scopus 로고
    • "Youtube". in Wikipedia: The Free Ency-clopedia; (Wikimedia Foundation Inc.) [encyclopedia on-line]; available from, retrieved:Sep'08
    • "Youtube". in Wikipedia: The Free Ency-clopedia; (Wikimedia Foundation Inc.) [encyclopedia on-line]; available from http://en.wikipedia.org/wiki/YouTube (retrieved:Sep'08).
  • 27
    • 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. Int. J. Comput. Vis., 73(2):213-238, 2007.
    • (2007) Int. J. Comput. Vis , vol.73 , Issue.2 , pp. 213-238
    • Zhang, J.1    Marszalek, M.2    Lazebnik, S.3    Schmid, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.