Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

A method of TV Logo Recognition based on SIFT

Authors
Pan Da, Shi Ping
Corresponding Author
Pan Da
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.192How to use a DOI?
Keywords
TV logo, SIFT descriptor, Recognition, keypoint
Abstract
TV logo is an important symbol of TV station. Automatic identification of TV logo can be used in television monitoring and media assets management. By analyzing the characteristics of TV logos, a new algorithm for TV logo recognition is proposed in this paper. First of all, the TV logo information is obtained by applying a special mask image to the captured video frames. Then the coarse matching is performed based on color tone. Further more, the region of TV logo is separated into the master region and sub region and the SIFT keypoints are obtained based on this separation. Finally, the TV logo is recognized by comparing the number of keypoints with a threshold. Experiments results show that the algorithm proposed has a good performance in TV logo recognition, especially for transparent logo.
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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.192How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Pan Da
AU  - Shi Ping
PY  - 2013/11
DA  - 2013/11
TI  - A method of TV Logo Recognition based on SIFT
BT  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1572
EP  - 1580
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.192
DO  - https://doi.org/10.2991/icmt-13.2013.192
ID  - Da2013/11
ER  -