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TRECVid 2006 experiments at Dublin City University

Koskela, Markus, Wilkins, Peter, Adamek, Tomasz, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2006) TRECVid 2006 experiments at Dublin City University. In: TRECVid 2006 - Text REtrieval Conference TRECVid Workshop, 13-14 November 2006, Gaithersburg, Maryland.

In this paper we describe our retrieval system and experiments performed for the automatic search task in TRECVid 2006. We submitted the following six automatic runs: • F A 1 DCU-Base 6: Baseline run using only ASR/MT text features. • F A 2 DCU-TextVisual 2: Run using text and visual features. • F A 2 DCU-TextVisMotion 5: Run using text, visual, and motion features. • F B 2 DCU-Visual-LSCOM 3: Text and visual features combined with concept detectors. • F B 2 DCU-LSCOM-Filters 4: Text, visual, and motion features with concept detectors. • F B 2 DCU-LSCOM-2 1: Text, visual, motion, and concept detectors with negative concepts. The experiments were designed both to study the addition of motion features and separately constructed models for semantic concepts, to runs using only textual and visual features, as well as to establish a baseline for the manually-assisted search runs performed within the collaborative K-Space project and described in the corresponding TRECVid 2006 notebook paper. The results of the experiments indicate that the performance of automatic search can be improved with suitable concept models. This, however, is very topic-dependent and the questions of when to include such models and which concept models should be included, remain unanswered. Secondly, using motion features did not lead to performance improvement in our experiments. Finally, it was observed that our text features, despite displaying a rather poor performance overall, may still be useful even for generic search topics.
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Digital video
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Research Institutes and Centres > Adaptive Information Cluster (AIC)
Official URL:http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs....
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Irish Research Council for Science Engineering and Technology, Science Foundation Ireland, SFI 03/IN.3/I361, European Commission FP6-027026
ID Code:428
Deposited On:10 Apr 2008 by DORAS Administrator . Last Modified 07 Nov 2018 16:29

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