-
1
-
-
36849086349
-
-
home
-
Trecvid home page. http://www-nlpir.nist.gov/projects/trecvid.
-
Trecvid
-
-
-
2
-
-
0037213089
-
An information-theoretic perspective of tf-idf measures
-
January
-
A. Aizawa. An information-theoretic perspective of tf-idf measures. Information Processing and Management, 39:45-65, January 2003.
-
(2003)
Information Processing and Management
, vol.39
, pp. 45-65
-
-
Aizawa, A.1
-
3
-
-
84905178828
-
IBM research trecvid-2005 video retrieval system
-
A. Amir, J. Argillandery, M. Campbell, A. Haubold, G. Iyengar, S. Ebadollahi, F. Kang, M. R. Naphade, A. P. Natsev, J. R. Smith, J. Tešić, and T. Volkmer. IBM research trecvid-2005 video retrieval system. In Proc. of TRECVID, 2005.
-
(2005)
Proc. of TRECVID
-
-
Amir, A.1
Argillandery, J.2
Campbell, M.3
Haubold, A.4
Iyengar, G.5
Ebadollahi, S.6
Kang, F.7
Naphade, M.R.8
Natsev, A.P.9
Smith, J.R.10
Tešić, J.11
Volkmer, T.12
-
6
-
-
84905168215
-
IBM research trecvid-2006 video retrieval system
-
M. Campbell and et al. IBM research trecvid-2006 video retrieval system. In Proc. Of TRECVID, 2006.
-
(2006)
Proc. Of TRECVID
-
-
Campbell, M.1
and et, al.2
-
8
-
-
84905159174
-
Evaluating the impact of 374 visualbased lscom concept detectors on automatic search
-
S.-F. Chang, W. Hsu, W. Jiang, L. Kennedy, D. Xu, A. Yanagawa, and E. Zavesky. Evaluating the impact of 374 visualbased lscom concept detectors on automatic search. In Proc. Of TRECVID, 2006.
-
(2006)
Proc. Of TRECVID
-
-
Chang, S.-F.1
Hsu, W.2
Jiang, W.3
Kennedy, L.4
Xu, D.5
Yanagawa, A.6
Zavesky, E.7
-
9
-
-
36849019964
-
-
T.-S. Chua, S.-Y. Neo, K.-Y. Li, G. Wang, R. Shi, M. Zhao, and H. Xu. Trecvid 2004 search and feature extraction task by nus pris. In Proc. of TRECVID, 2004.
-
T.-S. Chua, S.-Y. Neo, K.-Y. Li, G. Wang, R. Shi, M. Zhao, and H. Xu. Trecvid 2004 search and feature extraction task by nus pris. In Proc. of TRECVID, 2004.
-
-
-
-
10
-
-
34548278373
-
A comparison of score, rank and probability-based fusion methods for video shot retrieval
-
K. M. Donald and A. F. Smeaton. A comparison of score, rank and probability-based fusion methods for video shot retrieval. In Proc. of CIVR, 2005.
-
(2005)
Proc. of CIVR
-
-
Donald, K.M.1
Smeaton, A.F.2
-
11
-
-
4644367942
-
An efficient boosting algorithm for combining preferences
-
Y. Freund, R. Iyer, R. E. Schapire, and Y. Singer. An efficient boosting algorithm for combining preferences. Journal of Machine Learning Research, 4:933-969, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 933-969
-
-
Freund, Y.1
Iyer, R.2
Schapire, R.E.3
Singer, Y.4
-
13
-
-
33747626730
-
Large-scale concept ontology for multimedia
-
M. Naphade, J. R. Smith, J. Tesic, S.-F. Chang, W. Hsu, L. Kennedy, A. Hauptmann, and J. Curtis. Large-scale concept ontology for multimedia. IEEE Multimedia Magazine, 2006.
-
(2006)
IEEE Multimedia Magazine
-
-
Naphade, M.1
Smith, J.R.2
Tesic, J.3
Chang, S.-F.4
Hsu, W.5
Kennedy, L.6
Hauptmann, A.7
Curtis, J.8
-
14
-
-
36849019433
-
A light scale concept ontology for multimedia understanding for trecvid 2005
-
M. R. Naphade, L. Kennedy, J. R. Kender, S.-F. Chang, J. R. Smith, P. Over, and A. H. A. A light scale concept ontology for multimedia understanding for trecvid 2005. In Proc. of TRECVID, 2005.
-
(2005)
Proc. of TRECVID
-
-
Naphade, M.R.1
Kennedy, L.2
Kender, J.R.3
Chang, S.-F.4
Smith, J.R.5
Over, P.6
A., A.H.7
-
15
-
-
84883098972
-
Learning the semantics of multimedia queries and concepts from a small number of examples
-
A. P. Natsev, M. R. Naphade, and J. Tesic. Learning the semantics of multimedia queries and concepts from a small number of examples. In Proc. of ACM Multimedia, 2005.
-
(2005)
Proc. of ACM Multimedia
-
-
Natsev, A.P.1
Naphade, M.R.2
Tesic, J.3
-
16
-
-
84905187143
-
IBM marvel for trecvid06 automatic search
-
P. Natsev. IBM marvel for trecvid06 automatic search. In Proc. of TRECVID. 2006.
-
(2006)
Proc. of TRECVID
-
-
Natsev, P.1
-
17
-
-
36849007392
-
Video retrieval using high level features: Exploiting query matching and confidence-based weighting
-
S.-Y. Neo, J. Zhao, M.-Y. Kan, and T.-S. Chua. Video retrieval using high level features: Exploiting query matching and confidence-based weighting. In Proc. of CIVR, 2006.
-
(2006)
Proc. of CIVR
-
-
Neo, S.-Y.1
Zhao, J.2
Kan, M.-Y.3
Chua, T.-S.4
-
19
-
-
0003780986
-
The pagerank citation ranking: Bringing order to the web
-
Technical report, Stanford Digital Library Technologies Project
-
L. Page, S. Brin, R. Motwani, and T. Winograd. The pagerank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project, 1998.
-
(1998)
-
-
Page, L.1
Brin, S.2
Motwani, R.3
Winograd, T.4
-
20
-
-
0032268440
-
A language modeling approach to information retrieval
-
J. M. Ponte and W. B. Croft. A language modeling approach to information retrieval. In Proc. of ACM SIGIR, 1998.
-
(1998)
Proc. of ACM SIGIR
-
-
Ponte, J.M.1
Croft, W.B.2
-
22
-
-
84905165934
-
The MediaMill trecvid 2006 semantic video search engine
-
C. G. Snoek and et al. The MediaMill trecvid 2006 semantic video search engine. In Proc. Of TRECVID, 2006.
-
(2006)
Proc. Of TRECVID
-
-
Snoek, C.G.1
and et, al.2
-
24
-
-
34547172608
-
The challenge problem for automated detection of 101 semantic concepts in multimedia
-
C. G. Snoek, M. Worring, J. C. van Gemert, J.-M. Geusebroek, , and A. W. Smeulders. The challenge problem for automated detection of 101 semantic concepts in multimedia. In Proc. of ACM Multimedia, 2006.
-
(2006)
Proc. of ACM Multimedia
-
-
Snoek, C.G.1
Worring, M.2
van Gemert, J.C.3
Geusebroek, J.-M.4
Smeulders, A.W.5
-
26
-
-
36849072340
-
Relay boost fusion for learning rare concepts in multimedia
-
D. Wang, J. Li, and B. Zhang. Relay boost fusion for learning rare concepts in multimedia. In Proc. of CIVR, 2006.
-
(2006)
Proc. of CIVR
-
-
Wang, D.1
Li, J.2
Zhang, B.3
-
27
-
-
2342601508
-
Multimedia search with pseudo-relevance feedback
-
R. Yan, A. Hauptmann, and R. Jin. Multimedia search with pseudo-relevance feedback. In Proc. of CIVR, 2003.
-
(2003)
Proc. of CIVR
-
-
Yan, R.1
Hauptmann, A.2
Jin, R.3
-
28
-
-
0034788435
-
A study of smoothing methods for language models applied to ad hoc information retrieval
-
C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to ad hoc information retrieval. In Proc. of ACM SIGIR, 2001.
-
(2001)
Proc. of ACM SIGIR
-
-
Zhai, C.1
Lafferty, J.2
-
29
-
-
36848998755
-
Using high-level semantic features in video retrieval
-
W. Zheng, J. Li, Z. Si, F. Lin, and B. Zhang. Using high-level semantic features in video retrieval. In Proc. of CIVR, 2006.
-
(2006)
Proc. of CIVR
-
-
Zheng, W.1
Li, J.2
Si, Z.3
Lin, F.4
Zhang, B.5
|