Copyright © Antonio D'Angelo, Univ. of Udine

Multimedia Systems


  1. Aims

    The aim of the course is that to acquaint a student with a number concepts about the signal processing exploited in the field of multimedia applications. Some basic tools, such as Fourier and Cosine transforms, are presented but also the Nyquist's theorem and a short introduction to digital filter design and usage. The general notion of waveform is introduced and discussed along with a short prosentation of typical filter arrangements: low-band, high-band, pass-band, etc... Also the Radon transform is mentioned as an application on computed tomography (CT) applications. Different color models are also discussed and the concepts of Chrominance, Luma and Luminance are introduced within the general mechanism of human vision system. The most popular compression algorithms are widely discussed as well as audio systems such as DIMI, MPEG and MPEG4. The JPEG compression is presented as an instance of the so called Discrete Cosine Transform even if the complete compression cycle is built on the entropy-based compression algorithms.

  2. Method

    The course is intended to understand the signal processing usage within their application in multimedia systems. The staring point is a short introduction to waveforms, continuous and digital signals, filtering, Nyquist's theorem, Fourier transform with its discrete Fast Fourier Transform (FFT). The notion of modulus and phase spectra are also considered in the frequency domain. The principles of data compression are introduced starting from the basic concept of entropy, as it has been introduced by Shannon. Different coding algorithms are presented and discussed. The course terminates with a short presentation of the descrete cosine transform (DCT) and the JPEG compression.

  3. Contents

    The topics are primarily based on signal processing, starting from the basic notions of waveform, frequency, amplitude, phase and spectra. Afterwards digital filters and Fourier Transforms are introduced along with the Nyquist's theorem. After having considered the general properties of audio and video data, a number of compression algorithms are presented and discussed.

    In the following you can find a schematic program of the course. A more precise scheduling of the lectures are available as detailed outlines of their contents.

  4. Suggested Readings