Daniel Sabinasz, M.Sc.

RUB
INI
People
Daniel Sabinasz, M.Sc.

daniel.sabinasz@ini.rub.de (+49) 234-32-27973

Theory of Cognitive Systems

Ruhr-Universität Bochum
Institut für Neuroinformatik
Universitätsstraße 150
Building NB, Room NB 02/74

D-44801 Bochum, Germany

2016

Approximation-based efficient query processing with the earth mover’s distance
Uysal, M. S., Sabinasz, D., & Seidl, T.
In International Conference on Database Systems for Advanced Applications (pp. 165–180) Springer

@inproceedings{UysalSabinaszSeidl2016, author = {Uysal, Merih Seran and Sabinasz, Daniel and Seidl, Thomas}, title = {Approximation-based efficient query processing with the earth mover’s distance}, booktitle = {International Conference on Database Systems for Advanced Applications}, pages = {165–180}, organization = {Springer}, year = {2016}, }

Uysal, M. S., Sabinasz, D., & Seidl, T. (2016). Approximation-based efficient query processing with the earth mover’s distance. In International Conference on Database Systems for Advanced Applications (pp. 165–180). Springer.

2015

Effective Content-Based Near-Duplicate Video Detection
Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T.
In 2015 IEEE International Symposium on Multimedia (ISM) (pp. 254–257) IEEE

@inproceedings{UysalBeecksSabinaszEtAl2015, author = {Uysal, Merih Seran and Beecks, Christian and Sabinasz, Daniel and Seidl, Thomas}, title = {Effective Content-Based Near-Duplicate Video Detection}, booktitle = {2015 IEEE International Symposium on Multimedia (ISM)}, pages = {254–257}, organization = {IEEE}, year = {2015}, }

Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T. (2015). Effective Content-Based Near-Duplicate Video Detection. In 2015 IEEE International Symposium on Multimedia (ISM) (pp. 254–257). IEEE.
Large-scale efficient and effective video similarity search
Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T.
In Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval (pp. 3–8)

@inproceedings{UysalBeecksSabinaszEtAl2015b, author = {Uysal, Merih Seran and Beecks, Christian and Sabinasz, Daniel and Seidl, Thomas}, title = {Large-scale efficient and effective video similarity search}, booktitle = {Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval}, pages = {3–8}, year = {2015}, }

Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T. (2015). Large-scale efficient and effective video similarity search. In Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval (pp. 3–8).
FELICITY: A flexible video similarity search framework using the earth mover’s distance
Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T.
In International Conference on Similarity Search and Applications (pp. 347–350) Springer

@inproceedings{UysalBeecksSabinaszEtAl2015c, author = {Uysal, Merih Seran and Beecks, Christian and Sabinasz, Daniel and Seidl, Thomas}, title = {FELICITY: A flexible video similarity search framework using the earth mover’s distance}, booktitle = {International Conference on Similarity Search and Applications}, pages = {347–350}, organization = {Springer}, year = {2015}, }

Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T. (2015). FELICITY: A flexible video similarity search framework using the earth mover’s distance. In International Conference on Similarity Search and Applications (pp. 347–350). Springer.

Winter Term 2019/2020

Lab courses

Autonomous Robotics

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Contact

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210

sekretariat@ini.rub.de
www.ini.rub.de