Video is being acquired at an alarming rate across domains, including social research, healthcare, entertainment, sporting and more. The ability to code this video—attribute certain properties, labels, and other annotations—in support of analytical domain-relevant questions is critical; otherwise, human coding is required. Human coding, however, is laborious, expensive, not repeatable, and, worse, often error prone.
Video coding, an area within artificial intelligence and computer vision, seeks automated and semi-automated methods to support more effective and robust video coding.
This workshop at the Michigan Institute for Data Science (MIDAS) 2020 Annual Symposium will review the state-of-the-art in video coding from a capabilities, limitations, and tooling perspective, and present real-world use-cases. Five other workshops will be offered at the same time, November 10, 2020, 2:45 p.m.
Please register for one of these workshops featuring U-M faculty: lead presenter Jason Corso, professor, electrical engineering and computer science, and co-Presenters Maggie Levenstein, director and research professor, ICPSR and School of Information, Susan Jekielek, assistant research scientist, ICPSR, and Donald Likosky, professor, Department of Cardiac Surgery.
Learn more about the MIDAS 2020 Data Science Annual Symposium
