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Author Meisinger, Katrin ♦ Troeger, Tobias ♦ Zeller, Marcus ♦ Kaup, André
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Logo Detection ♦ Tv Sequence ♦ Frequency Selective Method ♦ Markov Random Field ♦ Automatic Tv Logo Removal ♦ Difference Image ♦ Contour Relaxation ♦ Analog Television ♦ Image Signal ♦ Frequency Selective Inpainting ♦ Final Logo Mask ♦ Broadcast Station ♦ Change Detection ♦ Real World Problem ♦ Real Logo ♦ Initial Logo Mask ♦ Image Content ♦ Change Mask
Description 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. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2005-01-01
Publisher Institution Signal Processing Conf