The semantic gap or semantic chasm is a well-known problem in content-based image and video retrieval. To address this problem, many techniques have been proposed in the literature. A more common approach is the use of low-level features such as colour, texture and shape for semantic analysis. Our focus in this paper is on the edge feature, which has not been exploited to the same extent as other low-level features for semantic analysis. In this paper, we present an algorithm for edge detection, and illustrate the usage of edges for semantic analysis of video content

Michael Lee