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Laboratory of Computer and Information Science / Neural Networks Research Centre CIS Lab Helsinki University of Technology

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These pages are not any more updated. Please, see web pages of Department of Information and Computer Science (ICS): http://ics.tkk.fi/en/studies/.

Näitä sivuja ei päivitetä enää. Ole hyvä ja katso tietojenkäsittelytieteen laitoksen WWW-sivuja: http://ics.tkk.fi/fi/studies/.

These pages are not any more updated. Please, see web pages of Department of Information and Computer Science (ICS): http://ics.tkk.fi/en/studies/.

T-61.6030 Special Course in Computer and Information Science III P:

Multimedia Retrieval


Lecturers D.Sc. (Tech) Markus Koskela
Docent Jorma Laaksonen
Assistant M.Sc. (Tech) Mats Sjöberg
Credits (ECTS) 5
Semester Spring 2008 (periods III-IV)
Seminar sessions On Fridays 12-14 in lecture hall T5, computer science building,
Konemiehentie 2, Otaniemi, Espoo. The first session is on January 25th, 2008.
Language English
Web http://www.cis.hut.fi/Opinnot/T-61.6030/
Registration Use WebTOPI or send mail to markus.koskela@tkk.fi, preferably before the first seminar session.

Introduction

The seminar covers the main aspects of recent research and the application of various machine learning algorithms in the analysis and retrieval of multimedia (images, video, speech, etc.) data. Due to its high complexity and variability, machine learning techniques have become the standard modeling tool to analyze this kind of complex data.

Retrieval of multimedia data is different from retrieval of simple textual or structured database data. A key problem in multimedia databases is search, and the proposed solutions to the problem of multimedia information retrieval span a rather wide spectrum of topics outside the traditional database area, ranging from information retrieval and human-computer interaction to computer vision and pattern recognition.

The plan is to roughly follow a new textbook: Multimedia Retrieval by Blanken, H.M.,de Vries, A.P., Blok, H.E., and Feng, L. (Eds.), Springer 2007, with some additional material.

For more information about the course, please send email to markus.koskela@tkk.fi.

Requirements for passing the course

Each student gives a presentation in the seminar. In addition, requirements include a project work and active participation in the lectures (one absence is allowed).

Course material

We will mainly use the following book:

Multimedia Retrieval by Blanken, H.M.,de Vries, A.P., Blok, H.E., and Feng, L. (Eds.). Springer 2007, 372 p. ISBN: 978-3-540-72894-8.

Additional material will be provided from relevant scientific articles and the following books:

Machine Learning for Multimedia Content Analysis by Gong, Y. and Xu, W.. Springer 2007, 277 p. ISBN: 978-0-387-69938-7.

A Unified Framework for Video Summarization, Browsing & Retrieval by Xiong, Z., Radhakrishnan, R., Divakaran, A., Rui, Y., and Huang T. Elsevier 2006, 296 p. ISBN: 978-0-12-369387-7.

Schedule

MR: Multimedia Retrieval, UF: A Unified Framework for Video Summarization, Browsing & Retrieval

Date Lecturer Topic Material Slides
25.1. Markus Koskela, Jorma Laaksonen Introduction MR: Ch. 1 [pdf] (11 MB)
1.2. Mats Sjöberg Metadata, pattern recognition MR: Ch. 2-3 [pdf]
8.2. Ville Turunen Text retrieval MR: Ch. 4 [pdf]
15.2. Anne Ylinen, Laszlo Kozma Image processing MR: Ch. 5 part 1 [pdf] | part 2 [pdf]
22.2. Sami Virpioja Generative probabilistic models MR: Ch. 6 [pdf]
29.2. Luis De Alba Speech indexing MR: Ch. 7 [pdf]
14.3. Stevan Keraudy Semantic video indexing MR: Ch. 8 [pdf]
4.4. Harrison Mfula
Zhirong Yang
Video highlight extraction
Video retrieval I
UF: Ch. 3
MR: Ch. 9
[pdf]
[pdf]
11.4. Dusan Sovilj Video retrieval II MR: Ch. 10 [pdf]
18.4. Lauri Lahti Interaction MR: Ch. 11 [pdf]
25.4. Pauli Ruonala
Markus Koskela
System evaluation
Project work experiment results
MR: Ch. 13 [pdf]

Project work

Information about the project work can be found here.

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