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.
|PDF - Accepted Version|
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|
|Deposited By:||Symplectic Elements|
|Deposited On:||31 May 2012 10:41|
|Last Modified:||01 Apr 2013 14:40|
Repository Staff Only: item control page