Limiting human perception for image sequences

Anthony J. Maeder, Joachim Diederich, Ernst Niebur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Early vision processes, based on human visual system (HVS) performance, provide insufficient information for modeling our assimilation of image sequences (e.g. video). The use of a visual attention paradigm for modeling viewer response over time is advanced here. An 'importance map' of the scene can be constructed using both spatial and temporal information. The image quality of an individual frame can be degraded significantly using the importance map to predict typical foci of attention. Knowledge of the whole scene can be built up over many frames, by accumulating details represented at low quality in areas identified by the importance map as warranting less visual attention. We conjecture some limitations on the image quality and provide synthesized examples of scenes coded using this model.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsBernice E. Rogowitz, Jan P. Allebach
Pages330-337
Number of pages8
StatePublished - Jan 1 1996
Externally publishedYes
EventHuman Vision and Electronic Imaging - San Jose, CA, USA
Duration: Jan 29 1996Feb 1 1996

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2657
ISSN (Print)0277-786X

Other

OtherHuman Vision and Electronic Imaging
CitySan Jose, CA, USA
Period1/29/962/1/96

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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