Multimedia Retrieval, 2012/13 term 1

Master Program Game & Media Technology

Multimedia Retrieval, 2012/13 term 1

[Introduction][Planning][Grading][Graduating][Complaints and remarks]

News

The grades of the re-take are now available:

GRADES

Introduction

The lecturer is Remco Veltkamp. For the schedule, see the study guide. The size of the course is 7.5 ECTS-points.

Multimedia retrieval is about the search and delivery of multimedia: images, music, video, 3D scenes, and the combination of these. This course deals with the technical aspect of multimedia retrieval: techniques, algorithms, and data structures for search query formulation, media description, matching of descriptions, indexing, performance evaluation, relevance feedback, etc.

During a number of initial lectures, a critical amount of knowledge is provided about the technical aspect of multimedia retrieval. In order to experimentally verify various techniques, in practicals we will experiment with different types of features, matching algorithms, and evaluation statistics.

Literature

M. Lew (ed.). Principles of Visual Information Retrieval. Springer 2001.

The slides of the lectures are made available.

Background literature:

M. Mueller, Information Retrieval for Music and Motion, Springer 2007.
D. Feng, W.C. Siu, H.J. Zhang. Multimedia Information Retrieval and Management, Technological Fundamentals and Applications. Springer 2003.
A. del Bimbo. Visual Information Retrieval. Morgan Kaufmann 1999.
C. Faloutsos. Searching Multimedia Databases by Content. Kluwer 1996.
O. Marques, B. Furht. Content-Based Image and Video Retrieval. Kluwer 2002.
R. Veltkamp, M. Tanase. Content-Based Image Retrieval Systems: A Survey.
R. Veltkamp, H. Burkhardt, H.-P. Kriegel (eds.). State-of-the-Art in Content-Based Image and Video Retrieval. Kluwer 2001.

Planning

The tentative planning is as in the table below. In the course of the term this can be adapted. The links are local, ask for a password.

term week	calender week	date	time	room	slides	Reading material. Chapters refer to M. Lew (ed.), Principles of Visual Information Retrieval, Springer 2001.
2	wk 37	Tue 11 Sept	15.15 - 17.00	Min-211	Organization Introduction	Chapter 1
2	wk 37	Thu 13 Sept	9.00 - 10.45	BBL-083	Explanation Practical Assignment Data and software Teams	3D Face Recognition 3D Face Retrieval Experiment
3	wk38	Tue 18 Sept	15.15 - 17.00	Min-211	Features	Chapter 5
3	wk 38	Thu 20 Sept	9.00 - 10.45	BBL-083	Matching
4	wk 39	Tue 25 Sept	15.15 - 17.00	Min-211	Color	Chapter 2
4	wk 39	Thu 27 Sept	9.00 - 10.45	BBL-083	Shape	Chapter 4 Fourier transform
5	wk 40	Tue 2 Oct	15.15 - 17.00	Min-211	Shape (cont.)
5	wk 40	Thu 4 Oct	9.00 - 10.45	BBL-083	Perception	Visual Illusions Phenomena
6	wk 41	Tue 9 Oct	15.15 - 17.00	Min-0211	3D models	background 3D models SHREC - 3D Shape Retrieval Contest website, presentation
6	wk 41	Thu 11 Oct	9.00 - 10.45	BBL-083	Music	other slides background on music MIREX - Music Information Retrieval Evaluation eXchange
7	wk 42	Tue 16 Oct	15.15-17.00	Min-211	Indexing	Evaluation Of Multimedia Retrieval Systems
7	wk 42	Thu 18 Oct	9.00-10.45	BBL-083	Performance assessment
8	wk 43	Tue 23 Oct
8	wk 43	Thu 25 Oct
9	wk 44	Tue 30 Oct	15.15 - 17.00	Min-211	Practicals presentations schedule	example presentation
9	wk 44	Thu 1 Nov	9.00 - 10.45	BBL-083	Practicals presentations schedule	example presentation
9	wk 44	Sun 4 Nov	23.59		deadline submission practicals
10	wk 45	Tue 6 Nov	14.00-17.00	ANDRO-C101	Exam

	wk 5	Thu 31 Jan 2013	17.00 - 20.00	EDU Gamma	Re-take Exam
				Extra topics		Texture Relevance Feedback Latent Semantic Indexing PCA, other statistics

Grading

The grade is the average of the written exam about the lectures (50%), and the practical assignment (50%).

To get an idea of the exams and expected answers, see:
Exam 31 January 2013, with a sketch of answers.
Exam 6 November 2012, with a sketch of some answers.
Exam 21 December 2004, with a sketch of the answers.

Re-take exam
Re-examinations is possible only if the grade was at least a 4, and consists of a written exam and/or an additional programming assignment

The re-take takes place 31 Januari 2013, 17-20 h. in room EDUC-GAMMA.

Graduating in multimedia retrieval

Within the masterprogram Game and Media Technologyyou can graduate on a topic in multimedia retrieval. There are projects in retrieval of trademarks, music, 3D objects, video, fingerprints, and faces. Should you be interested, please contact Remco Veltkamp.

Complaints and remarks

Remarks about the lectures, the speed, the topics, everything that is of potential interest for the lecturer to improve the course, can be entered here:

August 2012, R.C.Veltkamp@uu.nl