PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Storyboard sketches for content based video retrieval
John Collomosse, Graham McNeill and Yu Qian
In: ICCV 2009, Kyoto, Japan(2009).

Abstract

We present a novel Content Based Video Retrieval (CBVR) system, driven by free-hand sketch queries depicting both objects and their movement (via dynamic cues; streak-lines and arrows). Our main contribution is a probabilistic model of video clips (based on Linear Dynamical Systems), leading to an algorithm for matching descriptions of sketched objects to video. We demonstrate our model fitting to clips under static and moving camera conditions, exhibiting linear and oscillatory motion. We evaluate retrieval on two real video data sets, and on a video data set exhibiting controlled variation in shape, color, motion and clutter.

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EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
User Modelling for Computer Human Interaction
Information Retrieval & Textual Information Access
ID Code:8340
Deposited By:John Collomosse
Deposited On:30 October 2011