DocumentCode
169826
Title
Video Fingerprinting for Real-Time TV Commercial Advertising Identification
Author
Jun-Yong Lee ; Hyoung-Gook Kim
Author_Institution
Dept. of Electron. Convergence Eng., Kwangwoon Univ., Seoul, South Korea
fYear
2014
fDate
6-9 May 2014
Firstpage
1
Lastpage
2
Abstract
This paper presents a video fingerprinting method for real-time TV commercial advertising identification. In the proposed method, prominent peak pairs based on differences of the mean luminance of adjacent blocks in the spatiotemporal domain are computed, hashed, and stored, to be efficiently compared to one another. Experimental results confirm that the proposed method achieves preliminary promising results in terms of accuracy.
Keywords
advertising data processing; fingerprint identification; video signal processing; adjacent blocks; mean luminance; real-time TV commercial advertising identification; spatiotemporal domain; video fingerprinting method; Advertising; Feature extraction; Filtering; Fingerprint recognition; Servers; Streaming media; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Applications (ICISA), 2014 International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4799-4443-9
Type
conf
DOI
10.1109/ICISA.2014.6847480
Filename
6847480
Link To Document