Automatic Content Placement in Sports Highlights

Author

Wan, Kongwah ; Xu, Changsheng

Author_Institution

Inst. for Infocomm Res., Singapore

fYear

2006

fDate

9-12 July 2006

Firstpage

1893

Lastpage

1896

Abstract

To be viable advertising platforms, methods for in-program content placement in sports video must balance against clutter. We propose viewer relevance (VR) measures of video frames in the temporal and spatial domain. Video sub-segments with low temporal VR are first selected, within which actual content is emplaced on regions with low spatial VR. We compute VR measures using color, motion, texture and domain features, upon which spatio-temporal techniques are used to segment spatial regions for actual content placement. Results from preliminary subjective viewing trials on soccer and tennis video indicate that our approach is promising

Keywords

feature extraction; image colour analysis; image motion analysis; image segmentation; image texture; spatiotemporal phenomena; sport; video signal processing; VR measure; automatic content placement; image color; image motion analysis; soccer; spatio-temporal technique; sports highlight; tennis video; texture feature; video segmentation; viewer relevance; Advertising; Context modeling; Data mining; Entropy; Feature extraction; Games; Histograms; Motion measurement; Virtual reality; Wide area networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2006 IEEE International Conference on

Conference_Location

Toronto, Ont.

Print_ISBN

1-4244-0366-7

Electronic_ISBN

1-4244-0367-7

Type

conf

DOI

10.1109/ICME.2006.262925

Filename

4036994