Download 1f2revision - Electronic, Electrical and Systems Engineering

Multimedia Data
Revision
Dr Sandra I. Woolley
http://www.eee.bham.ac.uk/woolleysi
[email protected]
Electronic, Electrical and Computer Engineering
Syllabus Summary I
Data compression
–
Advantages and disadvantages
– Lossless and lossy compression
– Lossless compression
» Huffman, Lempel-Ziv (eg .GIF)
– Lossy compression
» DCT (.JPEG)
» Methods of quality assessment (objective vs. subjective methods)
» Rate/distortion graphs
Image data
–
Image filtering (simple high and low pass, edge and median filtering)
– Photography, vision, colour and colour models
Syllabus Summary II
Video data
–
MPEG-1 coding (what it is and how it works)
Speech and audio
–
Sampling and quantization
– Coding methods (waveform and vocoding)
– Audio data (MP3 - perceptual audio coding)
Web page authoring
HTML – Hypertext markup language
– Animated gifs
– JavaScript for dynamic web pages
– SVG (Scalable Vector Graphics)
–
3
Supporting Resources
http://www.eee.bham.ac.uk/woolleysi/teaching/multimedia.htm
Revision Suggestions

Read/work through the slides and examples.
 Include laboratory exercise material in your revision.

Work through at least one past exam paper.
 See on-line revision materials and use the University
exam paper database
http://www.exampapers.bham.ac.uk. For this
subject a keyword search on multimedia should pull
up all the papers. When using this database always
be very careful that you are reading the right
examination paper. Because the syllabus is
regularly updated, I suggest using papers from only
the last two years for this subject.

Time your attempts on at least two questions.
 Work out your exam technique in advance.
–
e.g., Allocate a set amount of time to read through all
questions carefully and write down the order to attempt
them (even if others already need more paper).
Exam Pointers

2 of 3 questions to be answered.

Take a calculator.
Read questions carefully.
Keep a close eye on the time.
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Keep descriptive answers short and to the point.
Use diagrams, tables or bullet-point lists if useful.
Common Mistakes
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… that lose few marks
Small numerical slips. For example, getting some of array values
wrong after filtering operations. Generally, loses no marks.
Misspelling loses no marks (unless it results in ambiguity).
– Loosy and loosey are not words. “Loose” means too big.
– Lossy and loss and lose are correct spellings.
Other numerical or algorithmic slips. For example, missing a character
out of an LZ decompression. Loses few if any marks (unless slip
makes question trivial or produces a blatantly wrong answer - in this
case a short student note indicating awareness can pull back a mark
or two.)
… that can lose more marks
Misreading the question.
Mixing up important terms like subjective and objective.
Mixing up compression methods.
Thank you and good luck
See the course web page for past exam
questions and solutions and a link to the
university exam paper database.