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arXiv · 2105.14195

A Survey of Performance Optimization in Neural Network-Based Video Analytics Systems

Nada Ibrahim·Preeti Maurya·Omid Jafari·Parth Nagarkar
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Abstract

Video analytics systems perform automatic events, movements, and actions recognition in a video and make it possible to execute queries on the video. As a result of a large number of video data that need to be processed, optimizing the performance of video analytics systems has become an important research topic. Neural networks are the state-of-the-art for performing video analytics tasks such as video annotation and object detection. Prior survey papers consider application-specific video analytics techniques that improve accuracy of the results; however, in this survey paper, we provide a review of the techniques that focus on optimizing the performance of Neural Network-Based Video Analytics Systems.

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Nada Ibrahim, Preeti Maurya, Omid Jafari, Parth Nagarkar. 2021-05-10. A Survey of Performance Optimization in Neural Network-Based Video Analytics Systems. https://arxiv.org/abs/2105.14195

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