Logotype Detection Concept in Video Stream Based on Features Extraction and Features Clustering from Contours and Colors

In this paper we propose an approach to identify logotypes in video stream. Proposed concept is based on feature extraction process which combines contours and color information. Extracted contours from video stream are used to calculate image invariant moments to describe the shape of the logotype. Furthermore color information is extracted from the normalized color histograms to evaluate the dominant colors. To find the regions of interest we use some additional features derived from contours position, distance and color. After we determine the regions of interest the features are extracted and clustered together to unambiguously represent logotypes.