Paper Info
Title
A fast method for animated TV logo detection
Abstract
As a recent trend some TV stations prefer to use animated logos, therefore the detection of the presence of an animated TV logo emerges as a new requirement for certain applications. In this paper we present a novel method for the detection of animated television logos in real-time. The main idea is to handle all frames of the animated logo in a unified manner. For this purpose a unified logo boundary representation is utilized. In the training stage, the boundaries of the animated logo from each frame are placed in a single set. During detection, a voting-based decision scheme is performed in order to determine the presence of the trained logo. Furthermore robustness of the method is improved by incorporating negative clues regarding the existence of the animated logo obtained from the region of interest. Aforementioned clues are unified in order to reach a final decision by using effective combination rules. Finally, time windowing is used for eliminating false positives with short durations. The proposed method is examined through typical broadcast data and promising results are obtained.
Year
DOI
Venue
2008
10.1109/CBMI.2008.4564952
CBMI
Keywords
Field
DocType
unified logo boundary representation,time windowing,voting-based decision scheme,television broadcasting,animated tv logo detection,object detection,pixel,frequency,color,real time systems,false positive,tv,displays,real time,region of interest,space technology,law,robustness,boundary representation,animation
Computer vision,Boundary representation,Object detection,Broadcasting,Voting,Computer graphics (images),Computer science,Logo,Robustness (computer science),Artificial intelligence,Pixel,False positive paradox
Conference
ISSN
ISBN
Citations 
1949-3983
978-1-4244-2044-5
3
PageRank 
References 
Authors
0.48
7
5
Name
Order
Citations
PageRank
Ersin Esen19214.15
Medeni Soysal2376.26
Tugrul K. Ates3353.70
Ahmet Saracoglu4323.91
A. Aydin Alatan565585.78