TY  - CONF
T1  - Architecture and applications of the Parallel Distributed Image Search Engine (ParaDISE)
A1  - Schaer, Roger
A1  - Markonis, Dimitrios
A1  - Müller, Henning
TI  - 1st International Workshop on Future Search Engines at INFORMATIK 2014
Y1  - 2014
CY  - Stuttgart, Germany
KW  - big data
KW  - Content-based image retrieval
KW  - distributed computing
KW  - information retrieval systems
KW  - Medical image retrieval
KW  - Web services
N2  - Medical images are important to physicians for diagnosis and treatment planning. The number of images produced in medical institutions bas been increasing rapidly over the past years.
Making these imaging data available and allowing medical professionals to perform retrieval based on visual characteristics of images is the challenge that content-based image retrieval systems are tackling.
In this paper we propose a system called ParaDISE (Parallel Distributed Image Search Engine). It allows indexing and retrieving images using both visual features as well as text. It is designed to scale well with big data sets, and it should be easily extensible with new features. The architecture of the system is described and its use in medical applications is presented. The open source version of the system is expected to be released publicly in the coming months.
ER  -