Title :
Importance maps for adaptive information reduction in visual scenes
Author :
Maeder, Anthony J.
Author_Institution :
Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Qld., Australia
Abstract :
The concept of an “importance map” is defined providing a means for modelling the relative importance to the viewer of parts of a visual scene. A computational approach for constructing importance maps is described and is used to perform adaptive JPEG compression of two test images. Compared with conventional JPEG results, the information content is reduced while maintaining acceptable perceived quality for viewers
Keywords :
adaptive systems; data compression; image coding; visual perception; adaptive JPEG compression; adaptive information reduction; computational approach; importance maps; information content; perceived quality; test images; visual scenes; Digital images; Frequency; Humans; Image coding; Layout; Performance evaluation; Pixel; Systems engineering and theory; Transform coding; Virtual reality;
Conference_Titel :
Intelligent Information Systems, 1995. ANZIIS-95. Proceedings of the Third Australian and New Zealand Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-86422-430-3
DOI :
10.1109/ANZIIS.1995.705709
