Title :
A banner ads searching and counting system for sports videos
Author :
Chang, Chueh Wei ; Chang, Yu Hung ; Chen, Shio Wen
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
Abstract :
The ads exposure frequency in a TV is very important for the pricing of the advertising. If we count this exposure frequency by person, it will be very time consuming and error-prone. In this paper, we propose an approach and design a system for searching and counting the number of banner ads appearing in sports videos. The searching proceeds by matching feature points from pre-specified sample ads using 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 near real-time performance. This system worked effectively in our experiments using real videos.
Keywords :
advertising; image colour analysis; pricing; sport; television; video signal processing; SURF algorithm; ads exposure frequency; advertising pricing; banner ads counting system; banner ads searching system; color histogram; speeded-up robust features algorithm; sports videos; Detectors; Feature extraction; Histograms; Image color analysis; Laplace equations; Robustness; Videos; Banner Advertising; Feature Description; Image Registration; Object Recognition; SURF;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768189
