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Find the image

Type: 
Multimedia
One line description: 
Online tool for comparisons of different multimedia exploration approaches
Annotation: 

Find the image is an artificial search scenario designed for testing and comparison of our exploration techniques. The task is to use a web-based exploration application to find as much images from a predetermined class as possible. This predetermined class should correspond to a search intention that cannot be easily transformed to a text-based query or to a query-by-example.

Developers: 
jakub.lokoc
juraj.mosko
premek.cech
tomas.grosup

Find the image is an artificial search scenario designed for testing and comparison of our exploration techniques. The task is to use a web-based exploration application to find as much images from a predetermined class as possible. This predetermined class should correspond to a search intention that cannot be easily transformed to a text-based query or to a query-by-example.

Exploration Portal

Type: 
Multimedia
One line description: 
Image exploration demo
Annotation: 

Exploration portal is a demonstration application for Multimedia exploration framework and a logical successor of SIR. The portal uses all framework features and implements example use cases for all important framework parts.

The portal can be used for exploration of static data sets, Bing search results and personal Facebook albums. It provides a variety of configuration options to affect feature extraction, similarity model, index creation and many other parameters.

The result is visualized using a similarity-based layout and supports different query options, such as zoom-in, zoom-out, multi-query or panning in 4 different directions.

Developers: 
jakub.lokoc
juraj.mosko
premek.cech
tomas.grosup

Exploration portal is a demonstration application for Multimedia exploration framework and a logical successor of SIR. The portal uses all framework features and implements example use cases for all important framework parts.

Multimedia exploration framework

Type: 
Multimedia
One line description: 
Creation of efficient multimedia exploration applications
Annotation: 

Multimedia exploration framework is an extensible solution for creation of multimedia exploration applications.

It uses a modular architecture and already provides several implementantions for every component. Besides managing the software architecture and data flow, the framework also takes care of data source management, data retrieval, feature extraction, distance computation, metric indexing, query execution, data visiualization and GUI creation.

Contact the developers directly if you are interested in building an application using our framework.

Developers: 
jakub.lokoc
premek.cech
tomas.grosup
tomas.skopal

Multimedia exploration framework is an extensible solution for creation of multimedia exploration applications.

It uses a modular architecture and already provides several implementantions for every component. Besides managing the software architecture and data flow, the framework also takes care of data source management, data retrieval, feature extraction, distance computation, metric indexing, query execution, data visiualization and GUI creation.

Contact the developers directly if you are interested in building an application using our framework.

Using Neo4j for mining protein graphs: a case study

Authors: 
David Hoksza, Jan Jelínek
Indexed by WOS: 
Not indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Proceedings
State: 
Accepted
Language: 
EN
Conference/Journal name: 
NoSQL-Net - International Workshop on NoSQL Databases, Emerging Database Technologies and Applications, DEXA
Publisher: 
IEEE
Year: 
2015
Pages: 
230-235
Location: 
Valencia, Spain
ISBN: 
978-1-4799-5722-4

Efficient Extraction of Clustering-Based Feature Signatures Using GPU Architectures

Authors: 
M. Kruliš, J. Lokoč, T. Skopal
Indexed by WOS: 
Indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Journal
State: 
Accepted
Language: 
EN
Conference/Journal name: 
Multimedia tools and applications
Publisher: 
Springer
Year: 
2016
Volume: 
75
Issue: 
13
Pages: 
8071–8103
ISSN: 
1380-7501

Neo4j database of proteins for protein-protein interaction identification

The process of data extraction from PDB to the Neo4J DB is described in the paper "Using Neo4j for mining protein graphs: a case study" published at the 2nd International Workshop on NoSQL Databases, Emerging Database Technologies and Applications .

  • DB download (258 MB) generated using neo4jShell -c dump

Statistics:

Continuous Hierarchical Exploration of Multimedia Collections

Authors: 
T. Grošup, J. Moško, P. Čech
Indexed by WOS: 
Not indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Proceedings
State: 
Published
Language: 
EN
Conference/Journal name: 
Content-Based Multimedia Indexing (CBMI)
Publisher: 
IEEE
Year: 
2015
Location: 
Prague, Czech republic
ISBN: 
978-1-4673-6870-4

GAUK 201515

Name: 
Using metric indexes for efficient content-based multimedia exploration
Start year: 
2015
End year: 
2017
The multimedia exploration techniques become the most promising trends of the multimedia retrieval, because they allow an intuitive way of accessing the particular content of the multimedia databases. The exploration techniques are useful especially in cases, where traditional methods of data filtering fail or are insufficient.

rPredictor

Type: 
Bioinformatics & Cheminformatics
One line description: 
Infrastructure consisting of tools, a database and web interface that together enable predicting ribosomal RNA secondary structure and analysing it.
Annotation: 
rPredictor is a bioinformatical infrastructure consisting of tools, a database and a web interface that together enable predicting ribosomal RNA secondary structure and analysing it. The predicted structures, their analyses and further details about the rRNA molecules are accessible through this website.
The aim of rPredictor is to develop and deploy a technique of predicting ribosomal RNA secondary structure and make the resulting structural information readily available. At the same time, the rPredictor database contains rich annotations of rRNA structures and the underlying sequences.
The project is being developed at the Faculty of Mathematics and Physics, Charles University in Prague in close cooperation with the bioinformatics laboratory of Microbiology Institute AVČR.
Developers: 
david.hoksza

P2RANK: knowledge-based ligand binding site prediction using aggregated local features

Authors: 
Radoslav Krivák, David Hoksza
Indexed by WOS: 
Indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Proceedings
State: 
Accepted
Language: 
EN
Conference/Journal name: 
AlCoB
Publisher: 
Springer
Year: 
2015
Pages: 
41-52
Location: 
Mexico City, Mexico
ISBN: 
978-3-319-21232-6
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