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Computer Vision and Machine Learning for Large Scale Video Corpus Maintenance and Curation

Event: AutoSens Detroit
| Session date: Thursday 16th May
Session date: Thursday 16th May
, 2019
This talk will describe methods and a system for managing large video-based datasets for use in automotive development. Modern use cases in AV and ADAS development involve vast repositories of data, often dominated by video data. Engineering, research and QA teams need to effectively sift through the repositories to curate usable datasets that contain certain phenomena, both types of objects as well as temporal events. Doing this manually is cost and time prohibitive. This talk will present a system for doing this semi-automatically using modern computer vision and machine learning methods to help speed up and increase the robustness of the process. I will also discuss best practices in curating such mission critical focused data sets.
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