The MediaMill TRECVID 2008 Semantic Video Search Engine

Snoek, C, Sande, K, Rooij, O, Huurnink, B, Gemert, J, Uijlings, J, He, J, Li, X, Everts, I, Nedovic, V et al, Liempt, M, Balen, R, Yan, F, Tahir, M, Mikolajczyk, K, Kittler, J, Rijke, M, Geusebroek, J, Gevers, T, Worring, M, Smeulders, A and Koelma, D (2008) The MediaMill TRECVID 2008 Semantic Video Search Engine In: TRECVID Workshop, 2008-01-01 - ?.

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Abstract

In this paper we describe our TRECVID 2008 video retrieval experiments. The MediaMill team participated in three tasks: concept detection, automatic search, and interac- tive search. Rather than continuing to increase the number of concept detectors available for retrieval, our TRECVID 2008 experiments focus on increasing the robustness of a small set of detectors using a bag-of-words approach. To that end, our concept detection experiments emphasize in particular the role of visual sampling, the value of color in- variant features, the influence of codebook construction, and the effectiveness of kernel-based learning parameters. For retrieval, a robust but limited set of concept detectors ne- cessitates the need to rely on as many auxiliary information channels as possible. Therefore, our automatic search ex- periments focus on predicting which information channel to trust given a certain topic, leading to a novel framework for predictive video retrieval. To improve the video retrieval re- sults further, our interactive search experiments investigate the roles of visualizing preview results for a certain browse- dimension and active learning mechanisms that learn to solve complex search topics by analysis from user brows- ing behavior. The 2008 edition of the TRECVID bench- mark has been the most successful MediaMill participation to date, resulting in the top ranking for both concept de- tection and interactive search, and a runner-up ranking for automatic retrieval. Again a lot has been learned during this year’s TRECVID campaign; we highlight the most im- portant lessons at the end of this paper.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :	Name Email ORCID Snoek, C Sande, K Rooij, O Huurnink, B Gemert, J Uijlings, J He, J Li, X Everts, I Nedovic, V Liempt, M Balen, R Yan, F Tahir, M Mikolajczyk, K Kittler, J Rijke, M Geusebroek, J Gevers, T Worring, M Smeulders, A Koelma, D
Date :	2008
Depositing User :	Symplectic Elements
Date Deposited :	14 Dec 2012 10:15
Last Modified :	31 Oct 2017 14:49
URI:	http://epubs.surrey.ac.uk/id/eprint/733281

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