TRECVID 2007 collaborative annotation using active learning

2007 TREC Video Retrieval Evaluation Notebook Papers

Volumn , Issue , 2007, Pages

  Ayache, Stéphane ^a   Quénot, Georges ^a  

^a UNIV GRENOBLE ALPES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

INDEXING (OF INFORMATION);

ACTIVE LEARNING; ANNOTATION SYSTEMS; CONCEPT INDEXING; HIGH-LEVEL FEATURES; MULTIMEDIA LIBRARIES; RESEARCH PROBLEMS; SEMANTIC INDEXING; TRAINING EXAMPLE;

ARTIFICIAL INTELLIGENCE;

EID: 84905189634     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. D. Angluin. Queries and concept learning. Machine Learning, 2:319-342, 1988.
2. S. Ayache and G. Quénot. Evaluation of active learning strategies for video indexing. Signal Processing: Image Communication, 2007.
3. S. Ayache, G. Quénot, and J. Gensel. CLIPS-LSR Experiments at TRECVID 2006. In Proceedings of the TRECVID 2006, 13-14 Nov. 2006.
4. C.-C. Chang and C.-J. Lin. LIBSVM: A Library for Support Vector Machines, 2001. Software available at http://www.csie.ntu.edu.tw/-cjlin/libsvm.
5. P. H. Gosselin and M. Cord. A comparison of active classification methods for content-based image retrieval. In CVDB '04: Proceedings of the 1st international workshop on Computer vision meets databases, pages 51-58, New York, NY, USA, 2004. ACM Press.
6. M. Koskela, M. Sjberg, V. Viitaniemi, J. Laaksonen, and P. Prentis. PicSOM Experiments in TRECVID 2007. In Proceedings of the TRECVID 2007, 5-6 Nov. 2007.
7. D. D. Lewis and W. A. Gale. A sequential algorithm for training text classifiers. In W. B. Croft and C. J. van Rijsbergen, editors, Proceedings of SIGIR-94, 17th ACM International Conference on Research and Development in Information Retrieval, pages 3-12, Dublin, IE, 1994. Springer Verlag, Heidelberg, DE.
8. C.-Y. Lin, B. L. Tseng, and J. R. Smith. Video collaborative annotation forum: Establishing ground-truth labels on large multimedia datasets. In Proceedings of the TRECVID 2003, 17-18 Nov. 2003.
9. 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, 13(3):86-91, 2006.
10. M. R. Naphade and J. R. Smith. On the detection of semantic concepts at trecvid. In MULTIMEDIA'04: Proceedings of the 12th annual ACM international conference on Multimedia, pages 660-667, New York, NY, USA, 2004. ACM Press.
11. C. Petereson. Fraunhofer hhi at trecvid 2004: Shot boundary detection system. In Proceedings of the TRECVID 2004, 15-15 Nov. 2004.
12. G.-J. Qi, Y. Song, X.-S. Hua, H.-J. Zhang, and L.-R. Dai. Video annotation by active learning and cluster tuning. In CVPRW '06: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop, page 114, Washington, DC, USA, 2006. IEEE Computer Society.
13. G. Quénot. Computation of Optical Flow Using Dynamic Programming. In IAPR Workshop on Machine Vision Applications, pages 249-52, 12-14 Nov. 1996.
14. A. F. Smeaton, P. Over, and W. Kraaij. Evaluation campaigns and TRECVid. In MIR '06: Proceedings of the 8th ACM international workshop on Multimedia information retrieval, pages 321-330, New York, NY, USA, 2006. ACM Press.
15. C. G. M. Snoek, M. Worring, and A. G. Hauptmann. Learning rich semantics from news video archives by style analysis. ACM Trans. Multimedia Comput. Commun. Appl., 2(2):91-108, 2006.
16. T. Volkmer, J. R. Smith, and A. P. Natsev. A webbased system for collaborative annotation of large image and video collections: an evaluation and user study. In MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia, pages 892-901, New York, NY, USA, 2005. ACMPress.