DocumentCode
1964853
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
fYear
1995
fDate
35030
Firstpage
24
Lastpage
29
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ANZIIS.1995.705709
Filename
705709
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