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Unit of study_

COMP4425: Multimedia Retrieval

2025 unit information

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.

Unit details and rules

Managing faculty or University school:

Engineering

Study level Undergraduate
Academic unit Computer Science
Credit points 6
Prerequisites:
? 
DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001
Corequisites:
? 
None
Prohibitions:
? 
COMP5425
Assumed knowledge:
? 
A major in a computer science area. 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 availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA ?  Location Outline ? 
Semester 1 2024
Normal evening Camperdown/Darlington, Sydney
Session MoA ?  Location Outline ? 
Semester 1 2025
Normal evening Camperdown/Darlington, Sydney
Outline unavailable
Session MoA ?  Location Outline ? 
Semester 1 2023
Normal evening Camperdown/Darlington, Sydney
Semester 1 2023
Normal evening Remote

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Modes of attendance (MoA)

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