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Internet and Multimedia Technology A 12-week Module Martin Doherty School of Computing & Intelligent Systems.

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Presentation on theme: "Internet and Multimedia Technology A 12-week Module Martin Doherty School of Computing & Intelligent Systems."— Presentation transcript:

1 Internet and Multimedia Technology A 12-week Module Martin Doherty School of Computing & Intelligent Systems

2 2 Contact Details E-mail m.doherty@ulster.ac.uk Office MG121A Telephone From outside: 028 71375552 Internally: 75552

3 3 Course Texts Core Text –Digital Multimedia, Chapman, N and J, Wiley, 2009 Shelfmark QA76.575.C52 2004 Recommended Reading 1.Digital Media Tools, Chapman, N and J, Wiley, 2007, Shelfmark QA76.575.C5 2.Digital Multimedia, Chapman, N and J, Wiley, 2003 ISBN 0-0470-85890 3.An Introduction to Digital Multimedia, Savage, T.M. and Vogel, K.E. Sudbury, Jones and Bartlett, 2009 (Library Shelfmark QA76.575.S28)

4 4 Module Content Fundamentals of Multimedia –Historical perspective –Application areas –Related disciplines

5 5 Module Content Fundamentals of Multimedia Technology Image and Video Structures –Raster versus vector formats –Image and video sizing –Colour models and conversion between them –File specification standards –Human Visual System –Compression standards

6 6 Module Content Fundamentals of Multimedia Technology Image and Video Structures Sound –Digital and Analogue sound formats –Quality and sampling frequencies –Streaming Technology –Sound card performance characteristics

7 7 Module Content Fundamentals of Multimedia Technology Image and Video Structures Sound Input and Output Devices - Printers - Microphones - Display Devices - CD-ROM / DVD - Scanners & Digital Cameras - Video & Video Encoding Standards

8 8 Module Content Fundamentals of Multimedia Technology Image and Video Structures Sound Input and Output Devices Sampling –Sampling techniques and anti-aliasing –Re-sizing images and colour depth

9 9 Module Content Fundamentals of Multimedia Technology Image and Video Structures Sound Input and Output Devices Sampling Image Processing –Histogram equalisation, contrast / brightness –Edge detection

10 10 Learning Objectives Knowledge of the historical developments which have led to the current state of the art/science. Understanding of the problems associated with working with images, sound and video. The ability to apply a suitable range of image handling / processing techniques. Understanding of the operating characteristics of hardware for multimedia systems. A solid basis for future development and study in the subject.

11 11 Teaching Organisation Two lectures per week for 11 weeks Two/Three hours of supervised laboratory work for 11 weeks. SEE TEACHING PLAN ON WEBSITE

12 12 Assessment Assessment by Coursework only Three pieces of assessed coursework Course work 1 –Group assignment –Video project (30%): weeks 1-6 Course Work 2 –Web CT Tests Weeks 6 and 12 (15%+15%) Course work 3 –Individual web site assignment I (40%): weeks 6-12


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