Video Cataloging Based on Robust Logotype Detection

In this paper a technique for video cataloging based on logo detection is shown. No a priori knowledge about shape or spatial-temporal location of logos is assumed. The method implements a new algorithm for online logo detection based on temporal and spatial segmentation of broadcasted videos. Temporal segmentation identifies constant luminance regions within video frames while spatial segmentation helps to refine previous segmented regions. In a final step, identified logos are searched in a database and classified into candidate or learnt logotypes. Learnt logos can be directly tracked through the video. Candidate logotypes are assigned to a cluster of similar logos. After a promotion process, all the candidate logos belonging to the same cluster are used to create a new learnt logotype.