Modeling and analysis of a deep learning pipeline for cloud based video analytics
(2017)
Presentation / Conference Contribution
Yaseen, M. U., Anjum, A., & Antonopoulos, N. (2017, December). Modeling and analysis of a deep learning pipeline for cloud based video analytics. Presented at BDCAT '17: Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Austin, Texas, USA
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. These systems necessitate massive amounts of labeled data and training time... Read More about Modeling and analysis of a deep learning pipeline for cloud based video analytics.