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. © 1997 Academic Press.