메뉴 건너뛰기




Volumn , Issue , 2007, Pages 170-177

Image annotation: Which approach for realistic databases?

Author keywords

Global descriptor; Image annotation; Object recognition; Scene categorization; Support vector machine

Indexed keywords

BENCHMARKING; DATABASE SYSTEMS; OBJECT RECOGNITION; SUPPORT VECTOR MACHINES;

EID: 36849075793     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1282280.1282310     Document Type: Conference Paper
Times cited : (26)

References (37)
  • 1
    • 36849081332 scopus 로고    scopus 로고
    • Efficient object-class recognition by boosting contextual information
    • J. Amores, N. Sebe, and P. Radeva. Efficient object-class recognition by boosting contextual information. In IbPRIA, 2005.
    • (2005) IbPRIA
    • Amores, J.1    Sebe, N.2    Radeva, P.3
  • 3
    • 33749609987 scopus 로고    scopus 로고
    • Ikona: Interactive specific and generic image retrieval
    • N. Boujemaa et al. Ikona: interactive specific and generic image retrieval. In MMCBIR, 2001.
    • (2001) MMCBIR
    • Boujemaa, N.1
  • 5
    • 33947180489 scopus 로고    scopus 로고
    • Miles: Multiple-instance learning via embedded instance selection
    • Y. Chen, J. Bi, and J. Z. Wang. Miles: Multiple-instance learning via embedded instance selection. PAMI, 2006.
    • (2006) PAMI
    • Chen, Y.1    Bi, J.2    Wang, J.Z.3
  • 6
    • 84863161940 scopus 로고    scopus 로고
    • Image categorization by learning and reasoning with regions
    • Y. Chen and J. Z. Wang. Image categorization by learning and reasoning with regions. JMLR, 5:913-939, 2004.
    • (2004) JMLR , vol.5 , pp. 913-939
    • Chen, Y.1    Wang, J.Z.2
  • 10
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. In CVPR. 2004, Workshop on Generative-Model Based Vision.
    • CVPR. 2004, Workshop on Generative-Model Based Vision
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 13
    • 0343390451 scopus 로고    scopus 로고
    • Classification of scene photographs from local orientations features
    • A. Guérin-Dugué and A. Oliva. Classification of scene photographs from local orientations features. Pattern Recognition Letters, 21:1135-1140, 2000.
    • (2000) Pattern Recognition Letters , vol.21 , pp. 1135-1140
    • Guérin-Dugué, A.1    Oliva, A.2
  • 14
    • 0030214261 scopus 로고    scopus 로고
    • Image retrieval using color and shape
    • A. K. Jain and A. Vailaya. Image retrieval using color and shape. Pattern Recognition, 29:1233-1244, 1996.
    • (1996) Pattern Recognition , vol.29 , pp. 1233-1244
    • Jain, A.K.1    Vailaya, A.2
  • 15
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006.
    • (2006) CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 16
    • 0002288190 scopus 로고    scopus 로고
    • Multiple-instance learning for natural scene classification
    • O. Maron and A. L. Ratan. Multiple-instance learning for natural scene classification. In ICML, 1998.
    • (1998) ICML
    • Maron, O.1    Ratan, A.L.2
  • 17
    • 36849060558 scopus 로고    scopus 로고
    • P.-A. Moellic and C. Fluhr. Imageval 2006 official campaign. Technical report, CEA List, 2006.
    • P.-A. Moellic and C. Fluhr. Imageval 2006 official campaign. Technical report, CEA List, 2006.
  • 18
    • 0742330658 scopus 로고    scopus 로고
    • The truth about corel - evaluation in image retrieval
    • H. Müller, S. Marchand-Maillet, and T. Pun. The truth about corel - evaluation in image retrieval. In CIVR, 2002.
    • (2002) CIVR
    • Müller, H.1    Marchand-Maillet, S.2    Pun, T.3
  • 19
    • 33750043316 scopus 로고    scopus 로고
    • Improving image analysis using a contextual approach
    • P. Mylonas, T. Athanasiadis, and Y. Avrithis. Improving image analysis using a contextual approach. In WIAMIS, 2006.
    • (2006) WIAMIS
    • Mylonas, P.1    Athanasiadis, T.2    Avrithis, Y.3
  • 20
    • 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. IJCV, 42:145-175, 2001.
    • (2001) IJCV , vol.42 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 22
    • 36849000293 scopus 로고    scopus 로고
    • Constitution of the imageval database, an end-user oriented approach
    • Technical report, Paragraphe Laboratory, Université Paris 8
    • C. Picault. Constitution of the imageval database, an end-user oriented approach. Technical report, Paragraphe Laboratory, Université Paris 8, 2006.
    • (2006)
    • Picault, C.1
  • 23
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • J. C. Piatt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In ALMC, 1999.
    • (1999) ALMC
    • Piatt, J.C.1
  • 24
    • 41549150674 scopus 로고    scopus 로고
    • Toward Category-Level Object Recognition, chapter Dataset Issues in Object Recognition
    • J. Ponce et al. Toward Category-Level Object Recognition, chapter Dataset Issues in Object Recognition. Springer-Verlag Lecture Notes in Computer Science, 2006.
    • (2006) Springer-Verlag Lecture Notes in Computer Science
    • Ponce, J.1
  • 25
  • 26
    • 5044230039 scopus 로고    scopus 로고
    • A computationally efficient approach to indoor/outdoor scene classification
    • N. Serrano, A. Savakis, and J. Luo. A computationally efficient approach to indoor/outdoor scene classification. In ICPR, 2002.
    • (2002) ICPR
    • Serrano, N.1    Savakis, A.2    Luo, J.3
  • 27
    • 3042685989 scopus 로고    scopus 로고
    • Improved scene classification using efficient low-level features and semantic cues
    • N. Serrano, A. E. Savakis, and J. Luo. Improved scene classification using efficient low-level features and semantic cues. PR, 37:1773-1784, 2004.
    • (2004) PR , vol.37 , pp. 1773-1784
    • Serrano, N.1    Savakis, A.E.2    Luo, J.3
  • 35
    • 33845566162 scopus 로고    scopus 로고
    • Svm-knn: Discriminative nearest neighbor classification for visual category recognition
    • H. Zhang, A. C. Berg, M. Maire, and J. Malik. Svm-knn: Discriminative nearest neighbor classification for visual category recognition. In CVPR, 2006.
    • (2006) CVPR
    • Zhang, H.1    Berg, A.C.2    Maire, M.3    Malik, J.4
  • 36
    • 33845531270 scopus 로고    scopus 로고
    • Local features and kernels for classifcation of texture and object categories: An in-depth study
    • Technical Report RR.-5737, INRIA Rhône-Alpes, 2005
    • J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid. Local features and kernels for classifcation of texture and object categories: An in-depth study. Technical Report RR.-5737, INRIA Rhône-Alpes, 2005.
    • Zhang, J.1    Marszalek, M.2    Lazebnik, S.3    Schmid, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.