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COMP5425: Multimedia Retrieval (2019 - Semester 1)

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Unit: COMP5425: Multimedia Retrieval (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: Dr Wang, Zhiyong
Session options: Semester 1
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: The explosive growth of multimedia data, including text, audio, images and video has imposed unprecedented challenges for managing big multimedia data. This unit provides students technologies on multimedia data management, such as information retrieval, multimedia data understanding, multimedia data analytics. It will cover the basics of a search engine system as well as advanced topics such as multimedia retrieval, multimedia content analysis, and social media.
Assumed Knowledge: Good programming skills.
Lecturer/s: Dr Wang, Zhiyong
Timetable: COMP5425 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 1.00 1 11
3 Independent Study 7.00 1 13
T&L Activities: Lecture: Students are expected to attend all scheduled lectures.

Tutorial: Students are expected to attend all scheduled tutorials.

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Students develop technical solutions for project and homework. (1) Maths/ Science Methods and Tools (Level 4)
Students learn the fundamentals of multimedia retrieval techniques and applications, including text, web, image, video, and audio retrieval, and advanced retrieval related topics. (2) Engineering/ IT Specialisation (Level 4)
Students develop solutions for assignment and projects. (3) Problem Solving and Inventiveness (Level 4)
Students perform functional design and revision to solve a specific problem by collecting requirements and applying the knowledge learned from this unit. (4) Design (Level 4)
Students identify interdisciplinary applications for project assignment. (5) Interdisciplinary, Inclusiveness, Influence (Level 4)
Students need to complete a project proposal, and a final project report, and given a presentation on the completed project. (6) Communication and Inquiry/ Research (Level 4)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table 2018.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

(5) Interdisciplinary, Inclusiveness, Influence (Level 4)
1. Perform functional analysis for specific application domain and specific users
(6) Communication and Inquiry/ Research (Level 4)
2. Conduct literature review in the field related to a given task.
(4) Design (Level 4)
3. Perform function design of a retrieval system.
(3) Problem Solving and Inventiveness (Level 4)
4. Design technical solutions to solve a media retrieval problem with learned knowledge and techniques
(2) Engineering/ IT Specialisation (Level 4)
5. Explain the framework and key components of a general retrieval systems
6. Reflect on the state of the art in multimedia retrieval
7. Evaluate the advantages and shortcomings of a specfic retrieval technique and solution.
(1) Maths/ Science Methods and Tools (Level 4)
8. Practice popular algorithms related to retrieval techniques, such as feature extraction and similarity measurement.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Project Proposal Yes 10.00 Week 6 1, 2, 3, 4, 5, 7,
2 Project Final Yes 20.00 Week 12 1, 2, 3, 4, 5, 6, 7, 8,
3 Homework No 15.00 Multiple Weeks 3, 4, 5, 6, 7, 8,
4 Final Exam No 55.00 Exam Period 3, 4, 5, 6, 7, 8,
Assessment Description: * indicates an assessment task which must be repeated if a student misses it due to special consideration.

Text-based similarity detecting software (Turnitin) will be used for all text-based written assignments.

According to University`s assessment policy, late submission for assessment components other than Final Exam:

1) Assignments submitted electronically are to be consistently due at 23.59 on the submission day. For hard copy assignments/projects, you should naturally have a time during business hours.

2) Consistent penalty of 5% per day late.

3) Assignments more than 10 days late get 0.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Minimum Pass Requirement It is a policy of the School of Computer Science that in order to pass this unit, a student must achieve at least 40% in the written examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average.
Policies & Procedures: IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.

In assessing a piece of submitted work, the School of Computer Science may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.

Other policies

See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
  • Fundamentals of Multimedia
  • Introduction to Information Retrieval
  • Modern Information Retrieval

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Introductioin
Week 2 Textual Information Retrieval
Week 3 Web Information Retrieval
Week 4 Multimedia Basics
Week 5 Multimedia Information Retrieval (I)
Week 6 Multimedia Information Retrieval (II)
Assessment Due: Project Proposal
Week 7 Multimedia Information Retrieval (III)
Week 8 Large Scale Retrieval
Week 9 Recommendation Systems
Week 10 Information Summarization
Week 11 Social Media
Week 12 Project presentation
Assessment Due: Project Final
Week 13 Course Review
STUVAC (Week 14) This week is left free for independent study.
Exam Period Any Exam or Quiz worth more than 30% of the final assessment will be scheduled in this two week period.
Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Bachelor of Advanced Computing/Bachelor of Commerce 2018, 2019
Bachelor of Advanced Computing/Bachelor of Science 2018, 2019
Bachelor of Advanced Computing/Bachelor of Science (Health) 2018, 2019
Bachelor of Advanced Computing/Bachelor of Science (Medical Science) 2018, 2019
Bachelor of Advanced Computing (Computational Data Science) 2018, 2019
Bachelor of Advanced Computing (Computer Science Major) 2018, 2019
Bachelor of Advanced Computing (Information Systems Major) 2018, 2019
Bachelor of Advanced Computing (Software Development) 2018, 2019
Bachelor of Computer Science and Technology (Honours) 2015, 2016, 2017
Bachelor of Computer Science and Technology (Honours) 2014 2013, 2014
Software Mid-Year 2016, 2017, 2018, 2019
Software/ Project Management 2019
Software 2015, 2016, 2017, 2018, 2019
Software / Arts 2016, 2017, 2018, 2019
Software / Commerce 2016, 2017, 2018, 2019
Software / Medical Science 2016, 2017
Software / Music Studies 2016, 2017
Software / Project Management 2016, 2017, 2018
Software / Science 2016, 2017, 2018, 2019
Software/Science (Health) 2018, 2019
Software / Law 2016, 2017, 2018, 2019
Software Engineering (till 2014) 2010, 2011, 2012, 2013, 2014
Software Engineering / Arts 2011, 2012, 2013, 2014
Software Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Software Engineering / Medical Science 2011, 2012, 2013, 2014
Software Engineering / Project Management 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014
Bachelor of Information Technology 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Arts 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Commerce 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Medical Science 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Science 2015, 2016, 2017
Bachelor of Information Technology (Computer Science) 2014 and earlier 2009, 2010, 2011, 2012, 2013, 2014
Information Technology (Computer Science)/Arts 2012, 2013, 2014
Information Technology (Computer Science) / Commerce 2012, 2013, 2014
Information Technology (Computer Science) / Medical Science 2012, 2013, 2014
Information Technology (Computer Science) / Science 2012, 2013, 2014
Information Technology (Computer Science) / Law 2012, 2013, 2014
Bachelor of Information Technology (Information Systems) 2014 and earlier 2010, 2011, 2012, 2013, 2014
Information Technology (Information Systems)/Arts 2012, 2013, 2014
Information Technology (Information Systems) / Commerce 2012, 2013, 2014
Information Technology (Information Systems) / Medical Science 2012, 2013, 2014
Information Technology (Information Systems) / Science 2012, 2013, 2014
Information Technology (Information Systems) / Law 2012, 2013, 2014
Bachelor of Information Technology/Bachelor of Laws 2015, 2016, 2017
Graduate Certificate in Information Technology 2015, 2016, 2017, 2018, 2019
Graduate Certificate in Information Technology Management 2015, 2016, 2017, 2018, 2019
Graduate Diploma in Computing 2015, 2016, 2017, 2018, 2019
Graduate Diploma in Information Technology 2015, 2016, 2017, 2018, 2019
Graduate Diploma in Information Technology Management 2015, 2016, 2017, 2018, 2019
Graduate Certificate in Information Technology (till 2014) 2012, 2013, 2014
Graduate Diploma in Information Technology (till 2014) 2012, 2013, 2014
Master of Data Science 2016, 2017, 2018, 2019
Master of Information Technology 2015, 2016, 2017, 2018, 2019
Master of Information Technology Management 2015, 2016, 2017, 2018, 2019
Master of IT/Master of IT Management 2015, 2016, 2017, 2018, 2019
Master of Information Technology (till 2014) 2014
Software/Science (Medical Science Stream) 2018, 2019

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
(5) Interdisciplinary, Inclusiveness, Influence (Level 4) Yes 4%
(6) Communication and Inquiry/ Research (Level 4) Yes 4%
(4) Design (Level 4) Yes 16.5%
(3) Problem Solving and Inventiveness (Level 4) Yes 16.5%
(2) Engineering/ IT Specialisation (Level 4) Yes 39.25%
(1) Maths/ Science Methods and Tools (Level 4) Yes 19.75%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.