Title :
A visual feature based video identifying system for the TV commercial´s monitoring
Author :
Lee, Sung Hwan ; Yoo, Won Young ; Yoon, Young Suk
Author_Institution :
Div. of Digital Content Res., Electron. & Telecommun. Res. Inst.
Abstract :
For companies, TV commercials are very important way to introduce and advertise their products. It is expensive to put an advertisement on TV. So these companies generally charge other companies to verify that their TV commercials are actually broadcasted as contracted. Currently, these monitoring are done manually. All the TV programs and their air-times are recorded at the same time. Then an agent checks the start time and the end time of a TV-commercial. Video retrieval and matching techniques can be used to monitor TV commercials automatically. By extracting visual identified features, we can measure the similarities and identify a target video from thousands of videos. In this paper, we designed the visual feature DB and implemented video matching system. To construct the DB, we extracted scene change information and dominant colors of commercial clips. By combining the features, we can identify TV commercials
Keywords :
feature extraction; image matching; television broadcasting; video signal processing; TV commercials monitoring; video identifying system; video matching system; video retrieval; visual identified features extraction; Colored noise; Computerized monitoring; Data mining; Databases; Feature extraction; Histograms; Indexing; Noise robustness; Protection; TV broadcasting; CF identification; video feature;
Conference_Titel :
Advanced Communication Technology, 2006. ICACT 2006. The 8th International Conference
Conference_Location :
Phoenix Park
Print_ISBN :
89-5519-129-4
DOI :
10.1109/ICACT.2006.206103