“Digital Video: Algorithms and Interfaces” by Poynton, Duvanenko and Stec

  • ©Charles A. Poynton, Victor Duvanenko, and Kevin Stec



Entry Number: 43


    Digital Video: Algorithms and Interfaces

Course Organizer(s):



    Some familiarity with digital video, no fear of mathematics, and detailed knowledge of image coding, perhaps gained by attending Color Image Coding (Course 25).

    Topics Covered
    The algorithms of sample rate conversion (in video, called interpolation) and spatial resampling.

    Digital video technology is no longer restricted to broadcast studios. It is available to practitioners of computer graphics, and it is converging – or colliding! – with mainstream computing. This course detailed the algorithms and interfaces used for high-quality digital video. It described the sampling, quantization, and filtering that take place in high-quality digital video; the algorithms used for chroma subsampling, spatial resampling, deinterlacing, frame rate conversion, and other processes necessary to exchange digital video among broadcast, consumer, and computer graphics domains, and the digital video interfaces used in the broadcast studio.

Contributed By:

    Mary Whitton


    Charles Babbage Institute Archives, University of Minnesota

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