Improving automatic video retrieval with semantic concept detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5575 LNCS, Issue , 2009, Pages 480-489

  Koskela, Markus ^a   Sjöberg, Mats ^a   Laaksonen, Jorma ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

CONCEPT-BASED RETRIEVAL; SEARCH PERFORMANCE; SEMANTIC CONCEPT; SEMANTIC CONCEPT DETECTION; SEMANTIC GAP; TRECVID; VIDEO DATA; VIDEO RETRIEVAL;

CONTENT BASED RETRIEVAL; IMAGE ANALYSIS; SEMANTICS; VIDEO RECORDING;

EXPERIMENTS;

EID: 70350685994     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02230-2_49     Document Type: Conference Paper

References (15)

1. Hauptmann, A.G., Christel, M.G., Yan, R.: Video retrieval based on semantic concepts. Proceedings of the IEEE 96(4), 602-622 (2008)
2. Smeaton, A.F., Over, P., Kraaij, W.: Evaluation campaigns and TRECVid. In: MIR 2006: Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, pp. 321-330. ACM Press, New York (2006)
3. Naphade, M., Smith, J.R., Tešić, J., Chang, S.F., Hsu, W., Kennedy, L., Hauptmann, A., Curtis, J.: Large-scale concept ontology for multimedia. IEEE MultiMedia 13(3), 86-91 (2006)
4. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91-110 (2004)
5. Koskela, M., Laaksonen, J.: Semantic concept detection from news videos with selforganizing maps. In: Proceedings of 3rd IFIP Conference on Artificial Intelligence Applications and Innovations, Athens, Greece, June 2006, pp. 591-599 (2006)
6. Snoek, C.G.M., Worring, M.: Are concept detector lexicons effective for video search? In: Proceedings of the IEEE International Conference on Multimedia & Expo. (ICME 2007), Beijing, China, July 2007, pp. 1966-1969 (2007)
7. Natsev, A.P., Haubold, A., Tešić, J., Xie, L., Yan, R.: Semanticconcept-basedquery expansion and re-ranking for multimedia retrieval. In: Proceedings of ACM Multimedia (ACM MM 2007), Augsburg, Germany, September 2007, pp. 991-1000 (2007)
8. Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database
9. Kennedy, L.S., Natsev, A.P., Chang, S.F.: Automatic discovery of query-classdependent models for multimodal search. In: Proceedings of ACM Multimedia (ACM MM 2005), Singapore, November 2005, pp. 882-891 (2005)
10. de Rooij, O., Snoek, C.G.M., Worring, M.: Balancing thread based navigation for targeted video search. In: Proceedings of the International Conference on Image and Video Retrieval (CIVR 2008), Niagara Falls, Canada, pp. 485-494 (2008)
11. Yilmaz, E., Aslam, J.A.: Estimating average precision with incomplete and imperfect judgments. In: Proceedings of 15th International Conference on Information and Knowledge Management (CIKM 2006), Arlington, VA, USA (November 2006)
12. Laaksonen, J., Koskela, M., Oja, E.: PicSOM - Self-organizing image retrieval with MPEG-7 content descriptions. IEEE Transactions on Neural Networks, Special Issue on Intelligent Multimedia Processing 13(4), 841-853 (2002)
13. Sjöberg, M., Muurinen, H., Laaksonen, J., Koskela, M.: PicSOM experiments in TRECVID 2006. In: Proceedings of the TRECVID 2006 Workshop, Gaithersburg, MD, USA (November 2006)
14. Koskela, M., Sjöberg, M., Viitaniemi, V., Laaksonen, J., Prentis, P.: PicSOM experiments in TRECVID 2007. In: Proceedings of the TRECVID 2007 Workshop, Gaithersburg, MD, USA (November 2007)
15. Koskela, M., Sjöberg, M., Viitaniemi, V., Laaksonen, J.: PicSOM experiments in TRECVID 2008. In: Proceedings of the TRECVID 2008 Workshop, Gaithersburg, MD, USA (November 2008)