Paper
22 April 1996 Limiting human perception for image sequences
Anthony John Maeder, Joachim Diederich, Ernst Niebur
Author Affiliations +
Proceedings Volume 2657, Human Vision and Electronic Imaging; (1996) https://doi.org/10.1117/12.238729
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anthony John Maeder, Joachim Diederich, and Ernst Niebur "Limiting human perception for image sequences", Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); https://doi.org/10.1117/12.238729
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Cited by 19 scholarly publications.
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KEYWORDS
Visualization

Image quality

Eye

Image processing

Visual process modeling

Image compression

Information visualization

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