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Motion-sketch based Video Retrieval using a Trellis Levenshtein Distance

Hu, R and Collomosse, J (2010) Motion-sketch based Video Retrieval using a Trellis Levenshtein Distance In: Intl. Conference on Pattern Recognition (ICPR) 2010, 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 (Paper)
Divisions: Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Depositing User: Symplectic Elements
Date Deposited: 31 May 2012 09:41
Last Modified: 23 Sep 2013 19:30
URI: http://epubs.surrey.ac.uk/id/eprint/605296

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