Segmentation of an image sequence using multi-dimensional image attributes

Author

Chalom, Edmond ; Bove, V. Michael, Jr.

Author_Institution

Media Lab., MIT, Cambridge, MA, USA

Volume

1

fYear

1996

Firstpage

525

Abstract

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

Keywords

data compression; feature extraction; image classification; image segmentation; image sequences; image texture; motion estimation; statistical analysis; video coding; compression efficiency; database search; feature selection; image classification; image editing; image regions; image segmentation; image sequences; interactive multimedia authoring; motion models; multidimensional image attributes; multimodal statistical model; multiple image characteristics; texture models; user-supplied training data; video coding; video compression; Image coding; Image databases; Image motion analysis; Image segmentation; Image sequences; Multimedia databases; Optical filters; Optical sensors; Pixel; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560907

Filename

560907