Hybrid.media: High velocity video ingestion in an in-memory scalable analytical polystore
Mark Simmons, Daniel Armstrong, Dylan Soderman, Michael N. Gubanov · 2017
Recent advances in image recognition algorithms are making it possible to query databases for static images which look like a desired target image. This technology is expanding to image recognition within video files as image recognition algorithms advance. Blending the ideas of static image query with video image recognition leads to the subject of our present work. Hybrid.media is our work in progress to ingest video files into an Hybrid In-Memory Polystore Database [Gubanov, 2017], [Podkorytov et al., 2017] and add query support for finding those video files. This work will provide the basis for future work to query videos containing specific items based on content in a video.