Monitoring Broadcast Television Advertising Based On Image Recognition System

TV Advertising is an important part of daily life, by which people know what products they like or dislike. But as the important effects it takes on, it is more and more urgent for us to monitor whether the right ads is on TV. This design introduces an automatic picture oriented television advertisement monitoring system. The system implements television advertisements monitoring in the way of pattern recognition together with image capturing and image binarization technologies.In this paper, the real-time realization of picture oriented Recognition technology on common platform is investigated. The system captures television signal with video capture card by DirectShow technique. Aiming at the characteristic and the request of the television advertisements, the system introduces the way of capturing the key-frames of the beginning and the end mainly.After the original data collection step, binarizing the captured images is needed to make the following steps more efficient. In the binarization module, the system introduces the Otsu algorithm, which is better effective to different brightness of the image and is steadier.Since the monitored objects, that is, the advertisements, are known, the system can extract samples of the advertisements, and use algorithms based on template match to recognize these advertisements. SSDA algorithm is adopted in this system. Because the pictures are all binary images, this article adjusts SSDA algorithm so that it can process binary images more efficiently, and an additional limitation, the absolute error accumulation times, are affiliated to insure the recognition correctness.Based on the working above, a set of picture oriented recognition system and the corresponding demo software are built under VC. The system is examined with some named advertising. The results show that the system has a higher recognition rate.