Edoardo Ardizzone, Marco La Cascia and Vito Di Gesú,
Content Based Indexing of Image and Video Databases by
Global and Shape Features,
In Proceedings of the 13th International Conference on Pattern Recognition (ICPR'96),
Vienna, Austria, IEEE, August 1996.Indexing and retrieval methods based on the image content are required to effectively use information from the larger and larger repositories of digital images and videos currently available. Both global (colour, texture, motion, etc...) and local (object shape, etc...) features are needed to perform a reliable content based retrieval. In this paper we present a method for automatic extraction of global image features, like colour and motion parameters, and their use for data restriction in video database querying. Further retrieval is therefore accomplished, in a restricted set of images, by shape feature (skeleton, local symmetry, moments, correlation, etc.) local search. The proposed indexing methodology has been developed and tested inside JACOB, a prototypal system for content-based video database querying.