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Motion-sketch based Video Retrieval using a Trellis Levenshtein Distance

Hu, R and Collomosse, John (2010) Motion-sketch based Video Retrieval using a Trellis Levenshtein Distance In: Intl. Conference on Pattern Recognition (ICPR) 2010, 23 - 26 Aug 2010, Istanbul, Turkey.

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Abstract

We present a fast technique for retrieving video clips using free-hand sketched queries. Visual keypoints within each video are detected and tracked to form short trajectories, which are clustered to form a set of spacetime tokens summarising video content. A Viterbi process matches a space-time graph of tokens to a description of colour and motion extracted from the query sketch. Inaccuracies in the sketched query are ameliorated by computing path cost using a Levenshtein (edit) distance. We evaluate over datasets of sports footage.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
NameEmailORCID
Hu, RUNSPECIFIEDUNSPECIFIED
Collomosse, JohnJ.Collomosse@surrey.ac.ukUNSPECIFIED
Date : August 2010
Depositing User : Symplectic Elements
Date Deposited : 31 May 2012 09:41
Last Modified : 31 Oct 2017 14:37
URI: http://epubs.surrey.ac.uk/id/eprint/605296

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