-
1
-
-
84878272716
-
The TRECVID SESAME MED system
-
Gaithersburg, USA
-
M. Akbacak, R. C. Bolles, J. B. Burns, M. Eliot, A. Heller, J. A. Herson, D. C. Koelma, X. Li, M. Mazloom, G. K. Myers, R. Nallapati, R. Revatia, A. W. M. Smeulders, P. Sharma, C. G. M. Snoek, C. Sun, R. Trichet, K. E. A. van de Sande, and E. Yeh. The TRECVID SESAME MED system. In Proc. TRECVID Workshop, Gaithersburg, USA, 2011.
-
(2011)
Proc. TRECVID Workshop
-
-
Akbacak, M.1
Bolles, R.C.2
Burns, J.B.3
Eliot, M.4
Heller, A.5
Herson, J.A.6
Koelma, D.C.7
Li, X.8
Mazloom, M.9
Myers, G.K.10
Nallapati, R.11
Revatia, R.12
Smeulders, A.W.M.13
Sharma, P.14
Snoek, C.G.M.15
Sun, C.16
Trichet, R.17
van de Sande, K.E.A.18
Yeh, E.19
-
2
-
-
68349111678
-
Video corpus annotation using active learning
-
S. Ayache and G. Quénot. Video corpus annotation using active learning. In ECIR, 2008.
-
(2008)
ECIR
-
-
Ayache, S.1
Quénot, G.2
-
5
-
-
72249100259
-
A Large-Scale Hierarchical Image Database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
6
-
-
33745155436
-
A bayesian hierarchical model for learning natural scence categories
-
L. Fei-Fei and P. Perona. A bayesian hierarchical model for learning natural scence categories. In CVPR, 2005.
-
(2005)
CVPR
-
-
Fei-Fei, L.1
Perona, P.2
-
7
-
-
33745934686
-
Creating efficient codebooks for visual recognition
-
F. Jurie and B. Triggs. Creating efficient codebooks for visual recognition. In ICCV, 604-610, 2005.
-
(2005)
ICCV
, pp. 604-610
-
-
Jurie, F.1
Triggs, B.2
-
8
-
-
33845572523
-
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
-
9
-
-
0035358496
-
Representing and recognizing the visual appearance of materials using three-dimensional textons
-
T. Leung and J. Malik. Representing and recognizing the visual appearance of materials using three-dimensional textons. Int'l J. Computer Vision, 43(1):29-44, 2001.
-
(2001)
Int'l J. Computer Vision
, vol.43
, Issue.1
, pp. 29-44
-
-
Leung, T.1
Malik, J.2
-
10
-
-
34548160247
-
A note on Platt's probabilistic outputs for support vector machines
-
H.-T. Lin, C.-J. Lin, and R. C. Weng. A note on Platt's probabilistic outputs for support vector machines. Machine Learning, 68(3):267-276, 2007.
-
(2007)
Machine Learning
, vol.68
, Issue.3
, pp. 267-276
-
-
Lin, H.-T.1
Lin, C.-J.2
Weng, R.C.3
-
11
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int'l J. Computer Vision, 60:91-110, 2004.
-
(2004)
Int'l J. Computer Vision
, vol.60
, pp. 91-110
-
-
Lowe, D.G.1
-
12
-
-
51949098112
-
Classification using intersection kernel support vector machines is efficient
-
S. Maji, A. C. Berg, and J. Malik. Classification using intersection kernel support vector machines is efficient. In CVPR, 2008.
-
(2008)
CVPR
-
-
Maji, S.1
Berg, A.C.2
Malik, J.3
-
13
-
-
84905247983
-
-
Visual Recognition Challange workshop, in conjunction with ICCV
-
M. Marszalek, C. Schmid, H. Harzallah, and J. van de Weijer. Learning object representations for visual object class recognition, 2007. Visual Recognition Challange workshop, in conjunction with ICCV.
-
(2007)
Learning Object Representations For Visual Object Class Recognition
-
-
Marszalek, M.1
Schmid, C.2
Harzallah, H.3
van de Weijer, J.4
-
14
-
-
79959771606
-
Improving the fisher kernel for large-scale image classification
-
F. Perronnin, J. Sánchez, and T. Mensink. Improving the fisher kernel for large-scale image classification. In ECCV, 2010.
-
(2010)
ECCV
-
-
Perronnin, F.1
Sánchez, J.2
Mensink, T.3
-
15
-
-
33746588654
-
Fraunhofer HHI at TRECVID 2004: Shot boundary detection system
-
Gaithersburg, USA
-
C. Petersohn. Fraunhofer HHI at TRECVID 2004: Shot boundary detection system. In Proc. TRECVID Workshop, Gaithersburg, USA, 2004.
-
(2004)
Proc. TRECVID Workshop
-
-
Petersohn, C.1
-
16
-
-
0003243224
-
Probabilities for SV machines
-
In A. J. Smola, P. L. Bartlett, B. Schölkopf, and D. Schuurmans, editors, The MIT Press, Cambridge, USA
-
J. C. Platt. Probabilities for SV machines. In A. J. Smola, P. L. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 61-74. The MIT Press, Cambridge, USA, 2000.
-
(2000)
Advances In Large Margin Classifiers
, pp. 61-74
-
-
Platt, J.C.1
-
17
-
-
3543089271
-
-
A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning. Information Science and Statistics
-
R. Y. Rubinstein and D. P. Kroese. The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning. Information Science and Statistics. 2004.
-
(2004)
The Cross-Entropy Method
-
-
Rubinstein, R.Y.1
Kroese, D.P.2
-
18
-
-
64549096809
-
Efficient visual search for objects in videos
-
J. Sivic and A. Zisserman. Efficient visual search for objects in videos. Proc. IEEE, 96(4):548-566, 2008.
-
(2008)
Proc. IEEE
, vol.96
, Issue.4
, pp. 548-566
-
-
Sivic, J.1
Zisserman, A.2
-
20
-
-
77953353879
-
Visual-concept search solved?
-
C. G. M. Snoek and A. W. M. Smeulders. Visual-concept search solved? IEEE Computer, 43(6):76-78, 2010.
-
(2010)
IEEE Computer
, vol.43
, Issue.6
, pp. 76-78
-
-
Snoek, C.G.M.1
Smeulders, A.W.M.2
-
21
-
-
84905196532
-
The MediaMill TRECVID 2010 semantic video search engine
-
Gaithersburg, USA
-
C. G. M. Snoek, K. E. A. van de Sande, O. de Rooij, B. Huurnink, E. Gavves, D. Odijk, M. de Rijke, T. Gevers, M. Worring, D. C. Koelma, and A. W. M. Smeulders. The MediaMill TRECVID 2010 semantic video search engine. In Proc. TRECVID Workshop, Gaithersburg, USA, 2010.
-
(2010)
Proc. TRECVID Workshop
-
-
Snoek, C.G.M.1
van de Sande, K.E.A.2
de Rooij, O.3
Huurnink, B.4
Gavves, E.5
Odijk, D.6
de Rijke, M.7
Gevers, T.8
Worring, M.9
Koelma, D.C.10
Smeulders, A.W.M.11
-
22
-
-
84905714721
-
The MediaMill TRECVID 2009 semantic video search engine
-
Gaithersburg, USA
-
C. G. M. Snoek, K. E. A. van de Sande, O. de Rooij, B. Huurnink, J. R. R. Uijlings, M. van Liempt, M. Bugalho, I. Trancoso, F. Yan, M. A. Tahir, K. Mikolajczyk, J. Kittler, M. de Rijke, J.-M. Geusebroek, T. Gevers, M. Worring, D. C. Koelma, and A. W. M. Smeulders. The MediaMill TRECVID 2009 semantic video search engine. In Proc. TRECVID Workshop, Gaithersburg, USA, 2009.
-
(2009)
Proc. TRECVID Workshop
-
-
Snoek, C.G.M.1
van de Sande, K.E.A.2
de Rooij, O.3
Huurnink, B.4
Uijlings, J.R.R.5
van Liempt, M.6
Bugalho, M.7
Trancoso, I.8
Yan, F.9
Tahir, M.A.10
Mikolajczyk, K.11
Kittler, J.12
de Rijke, M.13
Geusebroek, J.-M.14
Gevers, T.15
Worring, M.16
Koelma, D.C.17
Smeulders, A.W.M.18
-
23
-
-
84905186119
-
The MediaMill TRECVID 2008 semantic video search engine
-
Gaithersburg, USA
-
C. G. M. Snoek, K. E. A. van de Sande, O. de Rooij, B. Huurnink, J. C. van Gemert, J. R. R. Uijlings, J. He, X. Li, I. Everts, V. Nedović, M. van Liempt, R. van Balen, F. Yan, M. A. Tahir, K. Mikolajczyk, J. Kittler, M. de Rijke, J.-M. Geusebroek, T. Gevers, M. Worring, A. W. M. Smeulders, and D. C. Koelma. The MediaMill TRECVID 2008 semantic video search engine. In Proc. TRECVID Workshop, Gaithersburg, USA, 2008.
-
(2008)
Proc. TRECVID Workshop
-
-
Snoek, C.G.M.1
van de Sande, K.E.A.2
de Rooij, O.3
Huurnink, B.4
van Gemert, J.C.5
Uijlings, J.R.R.6
He, J.7
Li, X.8
Everts, I.9
Nedović, V.10
van Liempt, M.11
van Balen, R.12
Yan, F.13
Tahir, M.A.14
Mikolajczyk, K.15
Kittler, J.16
de Rijke, M.17
Geusebroek, J.-M.18
Gevers, T.19
Worring, M.20
Smeulders, A.W.M.21
Koelma, D.C.22
more..
-
25
-
-
33750571107
-
On the surplus value of semantic video analysis beyond the key frame
-
C. G. M. Snoek, M. Worring, J.-M. Geusebroek, D. C. Koelma, and F. J. Seinstra. On the surplus value of semantic video analysis beyond the key frame. In ICME, 2005.
-
(2005)
ICME
-
-
Snoek, C.G.M.1
Worring, M.2
Geusebroek, J.-M.3
Koelma, D.C.4
Seinstra, F.J.5
-
28
-
-
77958122462
-
Real-time visual concept classification
-
J. R. R. Uijlings, A. W. M. Smeulders, and R. J. H. Scha. Real-time visual concept classification. IEEE Trans. Multimedia, 12(7):665-681, 2010.
-
(2010)
IEEE Trans. Multimedia
, vol.12
, Issue.7
, pp. 665-681
-
-
Uijlings, J.R.R.1
Smeulders, A.W.M.2
Scha, R.J.H.3
-
30
-
-
77955426203
-
Evaluating color descriptors for object and scene recognition
-
K. E. A. van de Sande, T. Gevers, and C. G. M. Snoek. Evaluating color descriptors for object and scene recognition. IEEE Trans. Pattern Analysis and Machine Intelligence, 32(9):1582-1596, 2010.
-
(2010)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.32
, Issue.9
, pp. 1582-1596
-
-
van de Sande, K.E.A.1
Gevers, T.2
Snoek, C.G.M.3
-
31
-
-
78951492346
-
Empowering visual categorization with the GPU
-
K. E. A. van de Sande, T. Gevers, and C. G. M. Snoek. Empowering visual categorization with the GPU. IEEE Trans. Multimedia, 13(1):60-70, 2011.
-
(2011)
IEEE Trans. Multimedia
, vol.13
, Issue.1
, pp. 60-70
-
-
van de Sande, K.E.A.1
Gevers, T.2
Snoek, C.G.M.3
-
32
-
-
77249101259
-
Comparing compact codebooks for visual categorization
-
J. C. van Gemert, C. G. M. Snoek, C. J. Veenman, A. W. M. Smeulders, and J.-M. Geusebroek. Comparing compact codebooks for visual categorization. Computer Vision and Image Understanding, 114(4):450-462, 2010.
-
(2010)
Computer Vision and Image Understanding
, vol.114
, Issue.4
, pp. 450-462
-
-
van Gemert, J.C.1
Snoek, C.G.M.2
Veenman, C.J.3
Smeulders, A.W.M.4
Geusebroek, J.-M.5
-
33
-
-
67349278180
-
Episode-constrained cross-validation in video concept retrieval
-
J. C. van Gemert, C. J. Veenman, and J. M. Geusebroek. Episode-constrained cross-validation in video concept retrieval. IEEE Trans. Multimedia, 11(4):780-785, 2009.
-
(2009)
IEEE Trans. Multimedia
, vol.11
, Issue.4
, pp. 780-785
-
-
van Gemert, J.C.1
Veenman, C.J.2
Geusebroek, J.M.3
-
34
-
-
77952671498
-
Visual word ambiguity
-
J. C. van Gemert, C. J. Veenman, A. W. M. Smeulders, and J. M. Geusebroek. Visual word ambiguity. IEEE Trans. Pattern Analysis and Machine Intelligence, 32(7):1271-1283,2010.
-
(2010)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.32
, Issue.7
, pp. 1271-1283
-
-
van Gemert, J.C.1
Veenman, C.J.2
Smeulders, A.W.M.3
Geusebroek, J.M.4
-
36
-
-
33846580425
-
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'l J. Computer Vision, 73(2):213-238, 2007.
-
(2007)
Int'l J. Computer Vision
, vol.73
, Issue.2
, pp. 213-238
-
-
Zhang, J.1
Marszalek, M.2
Lazebnik, S.3
Schmid, C.4
-
37
-
-
80052886214
-
Image classiffication using super-vector coding of local image descriptors
-
X. Zhou, K. Yu, T. Zhang, and T. S. Huang. Image classiffication using super-vector coding of local image descriptors. In ECCV, 2010.
-
(2010)
ECCV
-
-
Zhou, X.1
Yu, K.2
Zhang, T.3
Huang, T.S.4
|