Review of image and video indexing techniques

Visual database systems require efficient indexing to facilitate fast access to the images and video sequences in the database. Recently, several content-based indexing methods for image and video based on spatial relationships; color, texture, shape, sketch, object motion, and camera parameters have been reported in the literature. The goal of this paper is to provide a critical survey of existing literature on content-based indexing techniques and to point out the relative advantages and disadvantages of each approach. (C) 1997 Academic Press.