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Instance search retrospective with focus on TRECVID

Instance search retrospective with focus on TRECVID This paper presents an overview of the Video instance search benchmark which was run over a period of 6 years (2010–2015) as part of the TREC Video Retrieval workshop series. The main contributions of the paper include (i) an examination of the evolving design of the evaluation framework and its components (system tasks, data, measures); (ii) an analysis of the influence of topic characteristics (such as rigid/non-rigid, planar/non-planar, stationary/mobile on performance; (iii) a high-level overview of results and best-performing approaches. The instance search benchmark worked with a variety of large collections of data including Sound & Vision, Flickr, BBC Rushes for the first three pilot years and with the small world of the BBC EastEnders series for the last 3 years. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Multimedia Information Retrieval Springer Journals

Instance search retrospective with focus on TRECVID

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Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer-Verlag London (outside the USA)
Subject
Computer Science; Multimedia Information Systems; Information Storage and Retrieval; Information Systems Applications (incl.Internet); Data Mining and Knowledge Discovery; Image Processing and Computer Vision; Computer Science, general
ISSN
2192-6611
eISSN
2192-662X
DOI
10.1007/s13735-017-0121-3
Publisher site
See Article on Publisher Site

Abstract

This paper presents an overview of the Video instance search benchmark which was run over a period of 6 years (2010–2015) as part of the TREC Video Retrieval workshop series. The main contributions of the paper include (i) an examination of the evolving design of the evaluation framework and its components (system tasks, data, measures); (ii) an analysis of the influence of topic characteristics (such as rigid/non-rigid, planar/non-planar, stationary/mobile on performance; (iii) a high-level overview of results and best-performing approaches. The instance search benchmark worked with a variety of large collections of data including Sound & Vision, Flickr, BBC Rushes for the first three pilot years and with the small world of the BBC EastEnders series for the last 3 years.

Journal

International Journal of Multimedia Information Retrieval – Springer Journals

Published: Feb 22, 2017

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