Information System of Masaryk University 

Course Information

PV229 Multimedia Similarity Searching in Practice

Faculty of Informatics
Spring 2013

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

RNDr. Michal Batko, Ph.D. (lecturer)
RNDr. David Novák, Ph.D. (assistant)

Supervisor

doc. RNDr. Vlastislav Dohnal, Ph.D.
Department of Computer Systems and Communications - Faculty of Informatics
Contact Person: prof. Ing. Pavel Zezula, CSc.
Dodavatelské pracoviště: Department of Computer Systems and Communications - Faculty of Informatics

Timetable

Wed 10:00–11:50 B116

Prerequisites

PA128 Similarity Searching || NOW ( PA128 Similarity Searching )
Basic programming skills in Java language (course PB162 is recommended)

Course Enrollment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrollment status: enrolled: 12/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30

Fields of study the course is directly associated with

there are 31 fields of study the course is directly associated with, display

Course objectives

On successful completion of the course students will be able: to understand cutting-edge technologies for multimedia search; to design multimedia search engines; to implement a search engine prototype including data preparation, performance tuning, and visualization of results via user interface.

Syllabus

• Introduction, demonstration of the MUFIN system, setup of the development environment
• Data collections and similarity functions
• Extraction of multimedia data descriptors
• Executing search algorithms on data collections, a command line interface
• Using search engine operations – insertions, deletions, queries
• Preparing command batches – bulk data insertion, automatic searching, statistics
• Data storage
• Pivot selection techniques
• Using advanced index algorithms – listing available implementations, getting/setting index parameters
• User and application interfaces

Literature

recommended literature
• ZEZULA, Pavel, Giuseppe AMATO, Vlastislav DOHNAL and Michal BATKO. Similarity Search: The Metric Space Approach. 2005. vyd. New York, NY 10013, USA: Springer, 2005. 220 pp. Advances in Database Systems, Vol. 32. ISBN 0-387-29146-6. Publisher's page Home page info
• BATKO, Michal, David NOVÁK and Pavel ZEZULA. MESSIF: Metric Similarity Search Implementation Framework. In Digital Libraries: Research and Development. Berlin, Heidelberg: Springer-Verlag, 2007. p. 1-10, 10 pp. ISBN 978-3-540-77087-9. Publisher Site info

Teaching methods

Lectures with slides. Practical examples implemented by students on their workstations. The course is given in English. Questions during lectures are allowed also in Czech.

Assessment methods

Deliver all homework assigned during semester. Build a similarity search engine on given data including a user interface.

Language in which the course is taught

English

Further Comments

Study Materials
The course is taught annually.

The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2014.

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