Description

With the exponential growth in video content over the period of the last few years, analysis of videos is becoming more crucial for many applications such as self-driving cars, healthcare,

With the exponential growth in video content over the period of the last few years, analysis of videos is becoming more crucial for many applications such as self-driving cars, healthcare, and traffic management. Most of these video analysis application uses deep learning algorithms such as convolution neural networks (CNN) because of their high accuracy in object detection. Thus enhancing the performance of CNN models become crucial for video analysis. CNN models are computationally-expensive operations and often require high-end graphics processing units (GPUs) for acceleration.

2.83 MB application/pdf

Download count: 0

Details

Contributors
Date Created
  • 2019
Resource Type
  • Text
  • Collections this item is in
    Note
    • Masters Thesis Electrical Engineering 2019

    Machine-readable links