Segmentation of an image sequence using multi-dimensional image attributes

Edmond Chalom, V. Michael Bove · 2002

Researchers have shown the compression advantages of coding video as a set of regions that can be defined by motion or texture models. 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. 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.

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