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Comprehensible Video Thumbnails

Kim, J, Gray, C, Asente, P and Collomosse, JP (2015) Comprehensible Video Thumbnails Computer Graphics Forum (Eurographics 2015), 34 (2). pp. 167-177.

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Abstract

We present the Comprehensible Video Thumbnail; an automatically generated visual précis that summarizes salient objects and their dynamics within a video clip. Salient moving objects are detected within clips using a novel stochastic sampling technique that identifies, clusters and then tracks regions exhibiting affine motion coherence within the clip. Tracks are analyzed to determine salient instants at which motion and/or appearance changes significantly, and the resulting objects arranged in a stylized composition optimized to reduce visual clutter and enhance understanding of scene content through classification and depiction of motion type and trajectory. The result is an object-level visual gist of the clip, obtained with full automation and depicting content and motion with greater descriptive power that prior approaches. We demonstrate these benefits through a user study in which the comprehension of our video thumbnails is compared to the state of the art over a wide variety of sports footage.

Item Type: Article
Authors :
NameEmailORCID
Kim, JUNSPECIFIEDUNSPECIFIED
Gray, CUNSPECIFIEDUNSPECIFIED
Asente, PUNSPECIFIEDUNSPECIFIED
Collomosse, JPUNSPECIFIEDUNSPECIFIED
Date : 1 May 2015
Identification Number : 10.1111/cgf.12550
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 10:53
Last Modified : 31 Oct 2017 17:22
URI: http://epubs.surrey.ac.uk/id/eprint/807311

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