  This paper provides a comparison of current video content extraction tools
with a focus on comparing commercial task-based machine learning services.
Video intelligence (VIDINT) data has become a critical intelligence source in
the past decade. The need for AI-based analytics and automation tools to
extract and structure content from video has quickly become a priority for
organizations needing to search, analyze and exploit video at scale. With rapid
growth in machine learning technology, the maturity of machine transcription,
machine translation, topic tagging, and object recognition tasks are improving
at an exponential rate, breaking performance records in speed and accuracy as
new applications evolve. Each section of this paper reviews and compares
products, software resources and video analytics capabilities based on tasks
relevant to extracting information from video with machine learning techniques.
