Automatic TV logo removal using statistical based logo detection and frequency selective inpainting

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Meisinger K, Tröger T, Zeller M, Kaup A
Publication year: 2005
Pages range: 1175-1178
ISBN: 9781604238211


Abstract


This paper outlines a method for automatically removing logos characterizing a broadcast station in TV sequences. First, the logo is detected automatically based on change detection of moving videos assuming that the image content is changing over time except for the location of the logo. In order to obtain initial logo masks, difference images between frames are binarized by thresholding. The final logo mask is obtained by subsequently refining the change masks by contour relaxation based on Markov Random Fields. Then, the image signal surrounding the logo is extrapolated using a frequency selective method and placed instead of the logo. The proposed algorithm is developed for TV sequences sampled from analog television, dealing thus with real world problems as noise, sampling and real logos.



FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Zeller, Marcus
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Meisinger, K., Tröger, T., Zeller, M., & Kaup, A. (2005). Automatic TV logo removal using statistical based logo detection and frequency selective inpainting. (pp. 1175-1178). Antalya, TR.

MLA:
Meisinger, Katrin, et al. "Automatic TV logo removal using statistical based logo detection and frequency selective inpainting." Proceedings of the 13th European Signal Processing Conference, EUSIPCO 2005, Antalya 2005. 1175-1178.

BibTeX: 

Last updated on 2018-10-08 at 09:11