Segmentation of an Image Sequence Using Multi-Dimensional Image
Attributes
Edmond Chalom and V. Michael Bove, Jr.
MIT Media Laboratory
Proc. ICIP-96
Whether for purposes of compression efficiency, image editing,
interactive multimedia authoring, or database search, it is often
useful to be able to segment images or image sequences into regions
corresponding to objects. In this paper we describe a segmentation
scheme that takes account of multiple image characteristics,
developing a multi-modal statistical model of regions based on a small
amount of user-supplied training data.