University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Markov Random Fields for Sketch based Video Retrieval

Hu, R, James, S, Wang, T and Collomosse, JP (2013) Markov Random Fields for Sketch based Video Retrieval In: ACM International Conference on Multimedia Retrieval (ICMR), 2013-04-16 - 2013-04-19, Dallas.

[img] Text
Hu-ICMR-2013.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (420kB)
[img] Text (licence)
SRI_deposit_agreement.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (33kB)

Abstract

We describe a new system for searching video databases us- ing free-hand sketched queries. Our query sketches depict both object appearance and motion, and are annotated with keywords that indicate the semantic category of each object. We parse space-time volumes from video to form graph rep- resentation, which we match to sketches under a Markov Random Field (MRF) optimization. The MRF energy func- tion is used to rank videos for relevance and contains unary, pairwise and higher-order potentials that reflect the colour, shape, motion and type of sketched objects. We evaluate performance over a dataset of 500 sports footage clips.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Hu, RUNSPECIFIEDUNSPECIFIED
James, SUNSPECIFIEDUNSPECIFIED
Wang, TUNSPECIFIEDUNSPECIFIED
Collomosse, JPUNSPECIFIEDUNSPECIFIED
Date : 2013
Identification Number : 10.1145/2461466.2461510
Contributors :
ContributionNameEmailORCID
http://www.loc.gov/loc.terms/relators/PBLACM, UNSPECIFIEDUNSPECIFIED
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 13:09
Last Modified : 28 Mar 2017 13:09
URI: http://epubs.surrey.ac.uk/id/eprint/805260

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800