About DISA

There are huge amounts of digital data all around us…

…that need to be effectively organized!

In the Laboratory of Data Intensive Systems and Applications (DISA), we study and develop modern techniques for effective and efficient data management:

  • Similarity-based indexing and searching
  • Content-based multimedia processing
  • Distributed data organization

To get a quick idea about our research, you may see our presentation (in Czech) or try some of our demo applications:

News

  • Best Student Paper Award
    for a paper A Real-Time Annotation of Motion Data Streams presented at ISM 2017
  • December 11-13, 2017: ISM 2017 in Taichung, Taiwan
    Pavel Zezula is presenting a paper A Web Application for Subsequence Matching in 3D Human Motion Data
    Jan Sedmidubsky is presenting a paper Enhancing Effectiveness of Descriptors for Searching and Recognition in Motion Capture Data
    Petr Elias is presenting a paper A Real-Time Annotation of Motion Data Streams
  • October 4-6, 2017: SISAP 2017 in Munich, Germany
    Vladimir Mic is presenting a paper Sketches with Unbalanced Bits for Similarity Search
    Filip Nalepa is presenting a paper Cache and Priority Queue Based Approximation Technique for a Stream of Similarity Search Queries
  • September 24-27, 2017: ADBIS 2017 in Nicosia, Cyprus
    Jan Sedmidubsky is presenting a paper Fast Subsequence Matching in Motion Capture Data
    Filip Nalepa is presenting a paper Towards High Similarity Search Throughput by Dynamic Query Reordering and Parallel Processing
  • October 19, 2017: First lecture of the DISA seminar in Autumn 2017 starts
  • January 11, 2017: New course PA212 on advanced search techniques for large-scale data analytics will be taught by Pavel Zezula and Jan Sedmidubsky in Spring 2017.