Modeling and analysis of a deep learning pipeline for cloud based video analytics
Conference Proceeding
Yaseen, M. U., Anjum, A., & Antonopoulos, N. (2017)
Modeling and analysis of a deep learning pipeline for cloud based video analytics. In BDCAT '17 Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, (121-130). https://doi.org/10.1145/3148055.3148081
Video analytics systems based on deep learning approaches are becoming the basis of many widespread applications including smart cities to aid people and traffic monitoring. T...
Clinical and genomics data integration using meta-dimensional approach
Conference Proceeding
Subhani, M. M., Anjum, A., Koop, A., & Antonopoulos, N. (2016)
Clinical and genomics data integration using meta-dimensional approach. In UCC '16 Proceedings of the 9th International Conference on Utility and Cloud Computinghttps://doi.org/10.1145/2996890.3007896
Clinical and genomics datasets contain humongous amount of information which are used in their respective environments independently to produce new science or better explain e...
Spatial frequency based video stream analysis for object classification and recognition in clouds
Conference Proceeding
Yaseen, M. U., Anjum, A., & Antonopoulos, N. (2016)
Spatial frequency based video stream analysis for object classification and recognition in clouds. In Proceedings of the 3rd IEEE/ACM conference on Big Data Computing, Applications and Technologieshttps://doi.org/10.1145/3006299.3006322
The recent rise in multimedia technology has made it easier to perform a number of tasks. One of these tasks is monitoring where cheap cameras are producing large amount of vi...
Traffic monitoring using video analytics in clouds
Conference Proceeding
Abdullah, T., Anjum, A., Tariq, M. F., Baltaci, Y., & Antonopoulos, N. (2015)
Traffic monitoring using video analytics in clouds. In 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computinghttps://doi.org/10.1109/UCC.2014.12
Traffic monitoring is a challenging task on crowded roads. Traditional traffic monitoring procedures are manual, expensive, time consuming and involve human operators. They ar...