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Unit of study_

COMP4425: Multimedia Retrieval

The explosive growth of multimedia data, including text, audio, images and video has imposed unprecedented challenges for search engines to meet various information needs of users. This unit provides students with the necessary and updated knowledge of this field in the context of big data, from the information retrieval basics of a search engine, to many advanced techniques towards next generation search engines, such as content based image and video retrieval, large scale visual information retrieval, and social media.

Code COMP4425
Academic unit Computer Science
Credit points 6
Prerequisites:
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None
Corequisites:
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Enrolment in a thesis unit. INFO4001 or INFO4911 or INFO4991 or INFO4992 or AMME4111 or BMET4111 or CHNG4811 or CIVL4022 or ELEC4712 or COMP4103 or SOFT4103 or DATA4103 or ISYS4103
Prohibitions:
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COMP5425
Assumed knowledge:
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Experience with programming skills as covered in INFO1113 or COMP2123 or COMP2823 or INFO1105 or INFO1905 or other similar units

At the completion of this unit, you should be able to:

  • LO1. perform functional analysis for specific application domain and specific users
  • LO2. conduct literature review in the field related to a given task
  • LO3. perform function design of a retrieval system
  • LO4. design technical solutions to solve a media retrieval problem with learned knowledge and techniques
  • LO5. explain the framework and key components of a general retrieval systems
  • LO6. reflect on the state of the art in multimedia retrieval
  • LO7. evaluate the advantages and shortcomings of a specific retrieval technique and solution
  • LO8. practice popular algorithms related to retrieval techniques, such as feature extraction and similarity measurement.

Unit outlines

Unit outlines will be available 1 week before the first day of teaching for the relevant session.

There are no unit outlines available online for previous years.