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Adapting binary information retrieval evaluation metrics for segment-based retrieval tasks

Aly, Robin, Eskevich, Maria orcid logoORCID: 0000-0002-1242-0753, Ordelman, Roeland and Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365 (2013) Adapting binary information retrieval evaluation metrics for segment-based retrieval tasks. Technical Report. UNSPECIFIED.

Abstract
This report describes metrics for the evaluation of the effectiveness of segment-based retrieval based on existing binary information retrieval metrics. This metrics are described in the context of a task for the hyperlinking of video segments. This evaluation approach re-uses existing evaluation measures from the standard Cranfield evaluation paradigm. Our adaptation approach can in principle be used with any kind of effectiveness measure that uses binary relevance, and for other segment-baed retrieval tasks. In our video hyperlinking setting, we use precision at a cut-off rank n and mean average precision.
Metadata
Item Type:Monograph (Technical Report)
Refereed:No
Subjects:Computer Science > Multimedia systems
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:20377
Deposited On:22 Jan 2015 14:08 by Gareth Jones . Last Modified 10 Oct 2018 09:18
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