Paper

A Banner Ads Searching and Counting System for Sports Videos


Authors:
Chuehwei Chang; Shiowen Chen; Hsinfu Chien
Abstract
The objective of this paper was to present an approach to design a system for searching and counting the number of banner ads appearing in sports videos. The searching proceedings of matching feature points from pre-specified sample ads use the color histogram and the SURF (Speeded-Up Robust Features) algorithm. This searching approach can robustly identify objects among scaling and partial occlusion while achieving nearly real-time performance. This system worked effectively in our experiments using real videos.
Keywords
Banner Advertising; URF; Feature Description
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