DocumentCode
3449741
Title
Gaze location prediction in broadcast football video
Author
Cheng, Qin ; Agrafiotis, Dimitris ; Achim, Alin ; Bull, Dave
Author_Institution
Univ. of Bristol, Bristol, UK
fYear
2012
fDate
13-16 Jan. 2012
Firstpage
132
Lastpage
135
Abstract
In this work we investigate gaze location prediction for the context of broadcast football video. We use Bayesian integration to combine bottom up (color, intensity, orientation, motion, novelty) and top down (ball) features. 70% success rate is obtained for CIF.
Keywords
Bayes methods; iris recognition; video coding; Bayesian integration; CIF; broadcast football video; gaze location prediction; Bayesian methods; Context; Feature extraction; Image color analysis; Predictive models; Video coding; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
2158-3994
Print_ISBN
978-1-4577-0230-3
Type
conf
DOI
10.1109/ICCE.2012.6161775
Filename
6161775
Link To Document