Funding Organization: European Commission
Funding Programme: FP7 - Information & Communication Technologies
Funding Instrument: Integrated Project
Start Date:
Duration: 36 months
Total Budget: 8,900,376 EUR
ITI Budget: 873,000 EUR

Multimedia search engines today are “black-box” systems. This closed architecture makes it difficult for technology providers, application integrators, and end-users to try out novel approaches for multimedia content and query processing, because there is no place where one can deploy content, components, and processes, integrate them with complementary technologies, and assess the results in a real and scalable environment.

The key technical principle of CUBRIK is to create a “white-box” version of a multimedia content & query processing system, by unbundling its functionality into a set of search processing pipelines, i.e., orchestrations of open source and third-party components instantiating current algorithms for multimedia content analysis, query processing, and relevance feedback evaluation. Examples will be pipelines for extracting metadata from media collections using the software mix that best fits application requirements, for processing multimodal queries, and for analysing user’s feedback in novel ways.

CUBRIK aims at constructing an open platform for multimedia search practitioners, researchers and end-users, where different classes of contributors can meet and advance the state-of-the-art by joining forces. Important scientific contributions will be the systematic integration of human and social computation in the design and execution of pipelines, and the enrichment of multimedia content and query processing with temporal and spatial entities.

On the business side, CUBRIK will endorse an ecosystem where a multitude of actors will concur to implement real application scenarios that validate the platform features in real world conditions and for vertical search domains. The CUBRIK community will bring together technology developers, software integrators, social network and crowdsourcing providers, content owners and SMEs, to promote the open search paradigm for the creation of search solutions tailored to user needs in vertical domains.


  1. T. Semertzidis, J. Novak, M. Lazaridis, M. Melenhorst, I. Micheel, D. Michalopoulos, M. B¨ockle, M. G. Strintzis, P. Daras, "A Crowd-powered System for Fashion Similarity Search" , ACM Transactions on Intelligent Systems and Technology (TIST), Vol: 7 Issue 4, May 2016
  2. T. Semertzidis, D. Rafailidis, M. G. Strintzis, P. Daras, "Large-Scale Spectral Clustering Based On Pairwise Constraints" , Information Processing & Management, Volume 51, Issue 5, September 2015, Pages 616-624, ISSN 0306-4573,
  3. T. Semertzidis, D. Rafailidis, M. G. Strintzis, P. Daras, "The Influence Of Image Descriptors’ Dimensions Value Cardinalities To Large-Scale Similarity Search" , SPRINGER International Journal of Multimedia Information Retrieval, pp. 1-18, issn: 2192-6611, doi: 10.1007/s13735-014-0073-9, Nov. 2014
  4. D. Rafailidis, T. Semertzidis, M. Lazaridis, M. G. Strintzis, P. Daras, "A Data-Driven Approach for Social Event Detection" , Working Notes Proceedings of the MediaEval 2013 Workshop, Barcelona, Spain, October 18-19, 2013
  5. E. Tiakas, D. Rafailidis, A. Dimou, P. Daras, "MSIDX: Multi-Sort Indexing for Efficient Content-based Image Search and Retrieval" , IEEE Transactions on Multimedia, Vol: 16, Issue: 6, Oct. 2013
  6. T. Semertzidis, D. Rafailidis, E. Tiakas, M. G. Strintzis, P. Daras, "Multimedia Indexing, Search and Retrieval in Large Databases of Social Networks" , Social Media Retrieval, Computer Communications and Networks series, Springer 2012, ISBN 978-1-4471-4554-7, November 30, 2012
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Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

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Contact Information

Dr. Petros Daras, Research Director
6th km Charilaou – Thermi Rd, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras(at)iti(dot)gr