PA128 Similarity Searching in Multimedia Data

Faculty of Informatics
Spring 2017
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. Ing. Pavel Zezula, CSc. (lecturer)
doc. RNDr. Vlastislav Dohnal, Ph.D. (assistant)
RNDr. Michal Batko, Ph.D. (assistant)
Supervisor
doc. RNDr. Eva Hladká, Ph.D.
Department of Computer Systems and Communications - Faculty of Informatics
Contact Person: prof. Ing. Pavel Zezula, CSc.
Supplier department: Department of Computer Systems and Communications - Faculty of Informatics
Timetable
Mon 10:00–11:50 A217
Course Enrollment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
Fields of study the course is directly associated with
there are 48 fields of study the course is directly associated with, display
Course objectives
Upon successful completion of the course student will be able:
to understand principles of similarity searching;
to apply similarity searching paradigm to multimedia data;
to explain principles of index structures for multimedia data;
to implement an index structure introduced in the course.
Syllabus
  • Part I Metric Searching in a Nutshell:
  • Foundations of Metric Space Searching
  • Survey of Existing Approaches
  • Part II Metric Searching in Large Collections of Data:
  • Centralized Index Structures
  • Approximate Similarity Search
  • Parallel and Distributed Indexes.
Literature
Teaching methods
Lectures with slides. The course is given in English. Questions during lectures are allowed also in Czech.
Assessment methods
Final exams are organized during the examination period and the exam is combined: a short written exam and oral examination. The student is asked two questions to verify the student's knowledge obtained during lectures.
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2018.
  • Enrollment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fi/spring2017/PA128

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