Abstract
Authors describe an application for solving video context detection problem. Application architecture use state-of-the-art deap learning TensorFlow framework together with the computer vision library OpenCV in isolated agent environment. The experimental results are shown to demonstrate the effectiveness of developed product.
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CITATION STYLE
APA
Voloshyn, D. (2016). Application of deep learning and computer vision frameworks for solving video context prediction problem. In CEUR Workshop Proceedings (Vol. 1631, pp. 164–169). CEUR-WS. https://doi.org/10.15407/pp2016.02-03.164
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