Checking date: 15/05/2020


Course: 2019/2020

Multimedia information coding in communications
(13850)
Bachelor in Mobile and Space Communications Engineering (Plan: 442 - Estudio: 217)


Coordinating teacher: PELAEZ MORENO, CARMEN

Department assigned to the subject: Signal and Communications Theory Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Linear Systems
The main objective of this course is to acquire a working knowledge of media coding algorithmia, standards, their present state of the art and limitations and their use in telecommunications. Students who successfully complete this course should meet the following ABET program outcomes: (a), (b), (c), (e), (h), (i), (j), (k). In particular: GENERAL SKILLS: a) an ability to apply theoretical knowledge to engineering problems (PO (a)). b) analytical skills, synthesis capabilities and an ability to integrate knowledge from different disciplines (PO (a)). c) acquisition of critical thinking capabilities and broad education necessary to understand the economical impact of the coding technologies, standards and governmental regulations on the development of telecommunication services(PO (h)). d) A recognition of the need for, and an ability to engage in life-long learning (PO (i)). SPECIFIC SKILLS: 1) Theoretical knowledge on media coding and the problems and solutions for their transmission over modern communications networks (PO (a), (h) and (j)). 2) An ability to choose, apply and adapt a media coder to meet identified needs such as quality, bandwidth, delay or complexity constraints by conducting experiments in the laboratory and interpreting the results (PO (b), (c), (e) and (k)). 3) Skills for reading and interpretation of standards specifications (PO (e) and (k))
Description of contents: programme
Topic 0. Fundamentals of the digitalization of multimedia information. Topic 1. Image coding Topic 2. Video coding Topic 3. Speech coding Topic 4. Audio coding Topic 5. Coded multimedia information transmission
Learning activities and methodology
The course structure consists of two different types of session: lectures and laboratory exercises. LECTURES (4 ECTS) The mathematical principles of media coders are presented in the lectures mostly aided with slides and multimedia demonstrations to illustrate certain aspects. (PO (a)). The economical impact of the bandwidth occupation in communication networks and the standarization of the media coders is a fundamental issue emphasized in the lectures. The algorithms needed to design a coder to meet specific constraints are explained (PO (c)). The economical implications of choosing among the different media coders available are always emphasized in the lectures: mainly, the trade-offs between quality, computational requirements, delay and bandwidth. The impact of governmental regulations on matters such as the assignation of radio-frequency bands and the process of producing standards are also explained in the lectures (PO (h)). Up to date examples and news on multimedia processing algorithms are always sought in the lectures even presenting protocols not yet well established, showing trends and emphasizing evolution thus promoting the idea of the need of a life-long learning (PO (i) and (j)). LABORATORY PRACTICE (2 ECTS) Four laboratory assignments (one for each media covered in the subject program) are aimed at achieving an understanding of the coding methods and an ability to design and conduct experiments by changing the free parameters of the coders and analyzing their consequences and trade-offs. The students empirically observe the trade-offs between employed bandwidth, quality, delay and complexity and are asked to decide on the free parameters that configure a coder (PO (b), (c) and (h)). The standardization of the media coders is a fundamental issue in media coding. A laboratory assignment is devoted to develop skills for reading and interpreting standards' specifications to enable students to assess the adequacy of a standard for a given engineering problem and identify the degrees of freedom left for the implementer or the user. The students are required to seek for specific modules and characteristics having to answer a questionnaire (PO (e)). Some programming skills are required in the lab projects though they are not specifically worked upon. Also reading and interpretation skills of media standards especifications are develop in one of the lab assignments (PO (k)).
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

Basic Bibliography
  • Chapman, J. Chapman. Digital Multimedia. Wiley. 2009
  • Chou, Philip A.. Multimedia over IP and wireless networks: compression, networkings and systems. Ed. Elsevier. 2007
  • Franklin Kuo, Wolfgang Effelsberg, J.J. García-Luna-Aceves. Multimedia Communications. Protocols and Applications. Prentice Hall, 1998..
  • J. Gibson, T. Berger, T. Lookabaugh, D. Lindbergh, R.L. Baker. Digital Compression for Multimedia. Principles and Standards,. San Francisco, CA Morgan Kaufman; 1998..
  • Rafael C. González, Richard E. Woods,. Digital Image Processing (Second Edition), Upper Suddle River, NJ. Prentice Hall, 2001.
  • Sadka, Abdul H. Compressed video communications. John Wiley & Sons. 2002
  • T. Painter and A. Spanias. Peceptual Coding of Digital Audio Proceedings of the IEEE, vol. 88, no. 4,. Apr. 2000..
Additional Bibliography
  • A. Spanias. Speech Coding: A Tutorial Review. Proceedings of the IEEE, vol. 82, no. 10, pp. 1541-1582, Oct. 1994 ..
  • A.M. Kondoz. Digital Speech: Coding for Low Bit Rate Communications Systems. Chichester, England: John Wiley & Sons; 1994..
  • Al-Mualla, Mohammed Ebrahim. Video coding for mobile communications: efficiency, complexity, and resilience. Academic Press, 2002.
  • Ghanbari, M. (Mohammed). Video coding : an introduction to standard codecs. Institution of Electrical Engineer, 1999.
  • John Watkinson. The Art of Digital Audio (Third Edition). Ed. Focal-Press. 2012
  • Ken C. Pohlmann. Principles of Digital Audio (Fourth Edition). Ed McGraw Hill. 2011
  • R. J. Clarke. Digital Compression of Still Images and Video.. London, UK Academic Press; 1995..
  • W.B. Kleijn, K.K. Paliwal. Speech coding and synthesis. Elsevier, 1995..
  • William K. Pratt. Digital Image Processing (Second Edition).. New York John Wiley & Sons, 1991.
  •  K. R kao, J.J. Hwang. Techniques and Standars for image, Video and Audio Coding. prentice Hall 1996.

The course syllabus may change due academic events or other reasons.