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Limited By:	Author = Wilkins, Peter;

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TRECVid 2006 experiments at Dublin City University (2006)

Koskela, Markus; Wilkins, Peter; Adamek, Tomasz; Smeaton, Alan F.; O'Connor, Noel E.

TRECVid 2006 experiments at Dublin City University (2006)

Koskela, Markus; Wilkins, Peter; Adamek, Tomasz; Smeaton, Alan F.; O'Connor, Noel E.

Abstract:

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 pa...

http://doras.dcu.ie/428/

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TRECVid 2007 experiments at Dublin City University (2007)

Wilkins, Peter; Adamek, Tomasz; Jones, Gareth J.F.; O'Connor, Noel E.; Smeaton, Al...

TRECVid 2007 experiments at Dublin City University (2007)

Wilkins, Peter; Adamek, Tomasz; Jones, Gareth J.F.; O'Connor, Noel E.; Smeaton, Alan F.

Abstract:

In this paper we describe our retrieval system and experiments performed for the automatic search task in TRECVid 2007. We submitted the following six automatic runs: • F A 1 DCU-TextOnly6: Baseline run using only ASR/MT text features. • F A 1 DCU-ImgBaseline4: Baseline visual expert only run, no ASR/MT used. Made use of query-time generation of retrieval expert coefficients for fusion. • F A 2 DCU-ImgOnlyEnt5: Automatic generation of retrieval expert coefficients for fusion at index time. • F A 2 DCU-imgOnlyEntHigh3: Combination of coefficient generation which combined the coefficients generated by the query-time approach, and the index-time approach, with greater weight given to the index-time coefficient. • F A 2 DCU-imgOnlyEntAuto2: As above, except that greater weight is given to the query-time coefficient that was generated. • F A 2 DCU-autoMixed1: Query-time expert coefficient generation that used both visual and text experts.

http://doras.dcu.ie/431/

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User variance and its impact on video retrieval benchmarking (2009)

Wilkins, Peter; Troncy, Raphael; Halvey, Martin; Byrne, Daragh; Amin, Alia; Punitha, P....

User variance and its impact on video retrieval benchmarking (2009)

Wilkins, Peter; Troncy, Raphael; Halvey, Martin; Byrne, Daragh; Amin, Alia; Punitha, P.; Smeaton, Alan F.; Villa, Robert

Abstract:

In this paper, we describe one of the largest multi-site interactive video retrieval experiments conducted in a laboratory setting. Interactive video retrieval performance is difficult to cross-compare as variables exist across users, interfaces and the underlying retrieval engine. Conducted within the framework of TRECVID 2008, we completed a multi-site, multi-interface experiment. Three institutes participated involving 36 users, 12 each from Dublin City University (DCU, Ireland), University of Glasgow (GU, Scotland) and Centrum Wiskunde \& Informatica (CWI, the Netherlands). Three user interfaces were developed which all used the same search service. Using a latin squares arrangement, each user completed 12 topics, leading to 6 TRECVID runs per site, 18 in total. This allowed us to isolate the factors of users and interfaces from retrieval performance. In this paper we present an analysis of both the quantitative and qualitative data generated from this experime...

http://doras.dcu.ie/4584/