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

Meisinger K, Tröger T, Zeller M, Kaup A (2005)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2005

Pages Range: 1175-1178

Event location: Antalya TR

ISBN: 9781604238211

URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863673242∨igin=inward

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.

Authors with CRIS profile

Marcus Zeller Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

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. In Proceedings of the 13th European Signal Processing Conference, EUSIPCO 2005 (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: Download