<title>Graphic/nongraphic segmentation for multistandard compression</title>

Abstract

In the field of compression research a number of different types of compression algorithms have been developed. These algorithms are best suited for the type of data they were developed for but fail if an image of a completely different type is coded, either in compression ratio or in image quality. Object based coding schemes allow algorithms to code different objects in different ways. In MPEG-4 these objects are used for coding, but they can also be used for object manipulation, indexing or image analysis. The problem remaining is finding a segmentation that gives meaningful objects. This object segmentation is most of the time done based on color and texture information or on motion but segmentation based on the type of data is mostly ignored. In this paper a segmentation scheme is presented that is based on the type of data present in the image. Two very distinct data types are considered: graphical and non-graphical data. Based on a co-occurrence matrix of the Peano-scan of the color space the algorithm segments the image and produces two images: one with graphical data that will be coded by JBIG and one with non-graphical data to be coded with JPEG.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.