AuthorsO. O. Nedrejord, V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler
TitleVid2Pix - A Framework for Generating High-Quality Synthetic Videos
AfilliationMachine Learning
Project(s)Department of Holistic Systems
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2020
Conference Name2020 IEEE International Symposium on Multimedia (ISM)
PublisherIEEE
Abstract

Data is arguably the most important resource today as it fuels the algorithms powering services we use every day. However, in fields like medicine, publicly available datasets are few, and labeling medical datasets require tedious efforts from trained specialists. Generated synthetic data can be to future successful healthcare clinical intelligence. Here, we present a GAN-based video generator demonstrating promising results.

Citation Key27576

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