P137 Auditory and Visual Processing by Humans and Machines

Faculty of Informatics
Spring 2001
Extent and Intensity
0/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
Prof. Misha Pavel (lecturer), prof. PhDr. Karel Pala, CSc. (deputy)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: prof. PhDr. Karel Pala, CSc.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Multimedia communication between humans and machines can be greatly enhanced by the machines' capabilities of processing, recognizing and producing signals that are effortlessly generated and perceived by humans. Knowledge of human information processing including audition, vision, and their combination is, therefore, critical in the principled design of "intelligent" sensing systems and the design of effective human-machine interfaces. This approach, based on human-like (anthropic) signal processing, has recently proven to be successful in the development of effective engineering systems. The course will familiarize students with the methods and fundamental knowledge pertaining to a subset of biological perceptual processes including auditory and visual perception, psychophysical measurements, and their applications. This course has several main objectives. First we will review elementary properties of the relevant physical signals and introduce students to the basic concepts in anatomy and physiology. We will then describe the methodology for the measurement and representation of human perceptual capabilities. In this respect students will learn how to interpret empirical data, how to incorporate these data in models, and how to apply these models to engineering problems. Finally, the perceptual, human-like signal processing approach will be illustrated using engineering models of the perceptual phenomena to design examples of signal processing systems.
Language of instruction
English
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
The course is taught only once.
The course is taught: in blocks.
Note related to how often the course is taught: 12.-16.3.2001.
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