5 citations · 14 across the 6 of their papers we have counts for
6 papers
Combining Deep Learning Classifiers for 3D Action Recognition
Jan Sedmidubsky, Pavel Zezula
The popular task of 3D human action recognition is almost exclusively solved by training deep-learning classifiers. To achieve a high recognition accuracy, the input 3D actions are…
Visual Concept Ontology for Image Annotations
Jan Botorek, Petra Budikova, Pavel Zezula
In spite of the development of content-based data management, text-based searching remains the primary means of multimedia retrieval in many areas. Automatic creation of text metad…
DISA at ImageCLEF 2014 Revised: Search-based Image Annotation with DeCAF Features
Petra Budikova, Jan Botorek, Michal Batko +1
This paper constitutes an extension to the report on DISA-MU team participation in the ImageCLEF 2014 Scalable Concept Image Annotation Task as published in [3]. Specifically, we i…
Generic Subsequence Matching Framework: Modularity, Flexibility, Efficiency
David Novak, Petr Volny, Pavel Zezula
Subsequence matching has appeared to be an ideal approach for solving many problems related to the fields of data mining and similarity retrieval. It has been shown that almost any…
Employing Subsequence Matching in Audio Data Processing
Petr Volny, David Novak, Pavel Zezula
We overview current problems of audio retrieval and time-series subsequence matching. We discuss the usage of subsequence matching approaches in audio data processing, especially i…
Query Language for Complex Similarity Queries
Petra Budikova, Michal Batko, Pavel Zezula
For complex data types such as multimedia, traditional data management methods are not suitable. Instead of attribute matching approaches, access methods based on object similarity…