SAIVT-ADMRG @ MediaEval 2014 social event detection

Denman, Simon, Dean, David, Fookes, Clinton, & Sridharan, Sridha (2014) SAIVT-ADMRG @ MediaEval 2014 social event detection. In Larson, Martha, Lonescu, Bogdan, Anguera, Xavier, Eskevich, Maria, Schedl, Markus, Soleymani, Mohammad, et al. (Eds.) Working Notes Proceedings of the MediaEval 2014 Multimedia Benchmark Workshop, CEUR Workshop Proceedings, Barcelona, Spain, pp. 1-2.

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Abstract

This paper outlines the approach taken by the Speech, Audio, Image and Video Technologies laboratory, and the Applied Data Mining Research Group (SAIVT-ADMRG) in the 2014 MediaEval Social Event Detection (SED) task. We participated in the event based clustering subtask (subtask 1), and focused on investigating the incorporation of image features as another source of data to aid clustering. In particular, we developed a descriptor based around the use of super-pixel segmentation, that allows a low dimensional feature that incorporates both colour and texture information to be extracted and used within the popular bag-of-visual-words (BoVW) approach.

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ID Code: 79106
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISSN: 1613-0073
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 The Authors
Deposited On: 02 Dec 2014 02:25
Last Modified: 30 Jan 2015 17:24

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