A real-time adaptive algorithm for detecting advertisement logo in videos

Author

Cong Xu ; Xiuhua Du

Author_Institution

Autom. Dept., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2013

fDate

20-22 Dec. 2013

Firstpage

1467

Lastpage

1471

Abstract

With the growing number of media advertising elements, the detection of time and length of advertisement logo has become a new demand of video monitoring sections. In response to this demand, this paper put forward an advertisement logo detecting approach in videos combing self-adaptive method and global feature. The proposed algorithm establishes the matching-template that represents shape feature of image online by introducing a self-adaptive method, so that background interference in the video frames can be eliminated. The experimental results prove that our approach can balance retrieval performance with efficiency, which meets the requirements of advertisement logo detection in videos.

Keywords

advertising; feature extraction; image matching; video retrieval; video signal processing; advertisement logo length detection; advertisement logo time detection; background interference elimination; global feature; image shape feature representation; media advertising elements; real-time adaptive algorithm; retrieval efficiency; retrieval performance; self-adaptive method; template matching; video frames; video monitoring sections; Feature extraction; Manganese; Real-time systems; Shape; TV; US Department of Transportation; Videos; Advertisement logo detection; matching-template; real-time; self-adaptive method;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on

Conference_Location

Shengyang

Print_ISBN

978-1-4799-2564-3

Type

conf

DOI

10.1109/MEC.2013.6885298

Filename

6885298