Abstract
In this paper we present our Mediamill video search engine. The basis for the engine is a semantic indexing process which derives a lexicon of 101 concepts. To support the user in navigating the collection, the system defines a visual similarity space, a semantic similarity space, a semantic thread space, and browsers to explore them. It extends upon [1] with improved browsing tools. The search system is evaluated within the TRECVID benchmark [2]. We obtain a top-3 result for 19 out of 24 search topics. In addition, we obtain the highest mean average precision of all search participants.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Snoek, C., Worring, M., van Gemert, J., Geusebroek, J., Koelma, D., Nguyen, G., de Rooij, O., Seinstra, F.: Mediamill: Exploring news video archives based on learned semantics. In: ACM Multimedia, Singapore (2005)
Smeaton, A.: Large scale evaluations of multimedia information retrieval: The TRECVid experience. In: Leow, W.-K., Lew, M., Chua, T.-S., Ma, W.-Y., Chaisorn, L., Bakker, E.M. (eds.) CIVR 2005. LNCS, vol. 3568, pp. 11–17. Springer, Heidelberg (2005)
Christel, M., Hauptmann, A.: The use and utility of high-level semantic features in video retrieval. In: Leow, W.-K., Lew, M., Chua, T.-S., Ma, W.-Y., Chaisorn, L., Bakker, E.M. (eds.) CIVR 2005. LNCS, vol. 3568, pp. 134–144. Springer, Heidelberg (2005)
Rautiainen, M., Ojala, T., Seppnen, T.: Clustertemporal browsing of large news video databases. In: IEEE International Conference on Multimedia and Expo. (2004)
Adcock, J., Cooper, M., Girgensohn, A., Wilcox, L.: Interactive video search using multilevel indexing. In: Leow, W.-K., Lew, M., Chua, T.-S., Ma, W.-Y., Chaisorn, L., Bakker, E.M. (eds.) CIVR 2005. LNCS, vol. 3568, pp. 205–214. Springer, Heidelberg (2005)
Heesch, D., Rüger, S.: Three interfaces for content-based access to image collections. In: Enser, P.G.B., Kompatsiaris, Y., O’Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds.) CIVR 2004. LNCS, vol. 3115, pp. 491–499. Springer, Heidelberg (2004)
Geusebroek, J.: Distinctive and compact color featuress for object recognition (2005) (Submitted for publication)
Snoek, C., et al.: The MediaMill TRECVID 2005 semantic video search engine. In: Proc. TRECVID Workshop. NIST (2005)
Nguyen, G., Worring, M.: Similarity based visualization of image collections. In: Proceedings of 7th International Workshop on Audio-Visual Content and Information Visualization in Digital Libraries (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Worring, M., Snoek, C., de Rooij, O., Nguyen, G., van Balen, R., Koelma, D. (2006). Mediamill: Advanced Browsing in News Video Archives. In: Sundaram, H., Naphade, M., Smith, J.R., Rui, Y. (eds) Image and Video Retrieval. CIVR 2006. Lecture Notes in Computer Science, vol 4071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788034_62
Download citation
DOI: https://doi.org/10.1007/11788034_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36018-6
Online ISBN: 978-3-540-36019-3
eBook Packages: Computer ScienceComputer Science (R0)