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Poorgholi, Soroosh (author)
Video understanding has received more attention in the past few years due to the availability of several large-scale video datasets and improvement in the computational power of computers. However, annotating large-scale video datasets are cost-intensive due to their complexity. In this work, we propose a time-efficient video annotation method...
master thesis 2020