Publications

Journals:

[1] C.A. Mitrea, I. Mironică, B. Ionescu, People Instance Retrieval from Highly Challenging Video Surveillance Real-World Footage, in Scientific Bulletin of UPB, Series C - Electrical Engineering, 79(1), ISSN 2287-3540, 2017 (ISI).

[2] I.C. Duță, J.R.R. Uijlings, B. Ionescu, K. Aizawa, A.G. Hauptmann, N. Sebe, Efficient Human Action Recognition using Histograms of Motion Gradients and VLAD with Descriptor Shape Information, Multimedia Tools and Applications, special issue on “Content Based Multimedia Indexing”, vol. 76, pp. 1-28, 2017 (ISI Impact Factor 1.53).


Conferences:

[3] I.C. Duță, B. Ionescu, K. Aizawa, N. Sebe, Simple, Efficient and Effective Encodings of Local Deep Features for Video Action Recognition, ACM International Conference on Multimedia Retrieval - ICMR, June 6-9, Bucharest, Romania, 2017 (ACM DL).

[4] I.C. Duță, B. Ionescu, K. Aizawa, N. Sebe, Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos, Computer Vision and Pattern Recognition - CVPR, July 21-26, Honolulu, Hawaii, 2017 (ISI).

[5] L.-D. Ștefan, I. Mironică, C. Mitrea, B. Ionescu, End to End Very Deep Person Re-identification, IEEE International Symposium on Signals, Circuits and Systems – ISSCS, July 13-14, Iași, Romania, 2017 (ISI).

[6] M.G. Constantin, B. Ionescu, Content Description for Predicting Image Interestingness, IEEE International Symposium on Signals, Circuits and Systems – ISSCS, July 13-14, Iași, Romania, 2017 (ISI).

[7] M. Dogariu, B. Ionescu, A Textual Filtering of HOG-based Hierarchical Clustering of Lifelog Data, ImageCLEF Lifelog Task working notes, CLEF Conference and Labs of the Evaluation Forum, 11-14 September, Dublin, Ireland, 2017 (BDI).

[8] M.G. Constantin, B. Boteanu, B. Ionescu, LAPI at MediaEval 2017 - Predicting Media Interestingness, MediaEval Benchmarking Initiative for Multimedia Evaluation workshop, 11-14 September, Dublin, Ireland, 2017 (BDI).

[9] S. Carata, V/M Ghenescu, M. Chindea, R.E. Mihaescu, "Salt and Pepper Noise Removal by Combining Genetic Algorihms – Neural Networks and Statistical Methods", 12th International Conference on Communications - COMM, 14-16 June, Bucharest, Romania, 2018 (ISI).

[10] R.E. Mihaescu, S. Carata, V. Ghenescu, M. Chindea, C.A. Mitrea, Noise Removal based on Artificial Intelligence Synergy Methods for Surveillance Scenarios", 12th International Conference on Communications - COMM, 1st International Workshop on Research & Innovation for Secure Societies - RISS, 15 June, Bucharest, Romania, 2018 (ISI).

[11] C.A. Mitrea, M.G. Constantin, L.D. Stefan, M. Ghenscu, B. Ionescu, "Little-big Deep Neural Networks for Embedded Video Surveillance", 12th International Conference on Communications - COMM, 1st International Workshop on Research & Innovation for Secure Societies - RISS, 15 June, Bucharest, Romania, 2018 (ISI).

About

The SPOTTER project is funded under research grant PN-III-P2-2.1-PED-2016-1065, agreement 30PED/2017 and is spanning over 18 months (January 2017 to June 2018).

The proposed technology will be capable of automatically finding the occurrence of a DROP instance by running specialized algorithms embedded directly on the IP video cameras.

Objectives

  • Advanced DROP retrieving algorithms running on low resources embedded hardware platforms

  • Techniques for real-time identification and tracking capabilities from multiple video sources

  • Techniques for algorithms which can dynamically adjust the running parameters according to task variables

Contact Us

Address: Splaiul Independentei nr. 313, sector  6, Bucuresti, Romania

Telephone: + 4021-402 48 72
FAX: + 4021-402 48 21

E-mail: bionescu at alpha dot imag dot pub  dot ro

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