Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1364
Title: Assist: Rendering, Pipeline Management, and Pipeline Tracking Software Publisher: IEEE Cite This PDF
Authors: Salgado, M.V.I
Hettiarachchi, H.A.D.D.
Munasinghe, T.U.
Fernando, K.A.U.
Gamage, I.
Thilakarathna, T.
Cooray, N.C.
Keywords: decision-tree
pyqt5
general decimation algorithm
mesh simplification algorithm
linear regression
video production
digital content creation
Issue Date: 10-Dec-2020
Publisher: 2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT
Abstract: Video production is one of the most dominant industries in the 21st century, and research into the automation of tasks associated with it has drastically increased. The production of videos take place in three stages: pre-production, production, and post-production. These three stages consist of script writing, scheduling, logistics, and other administration work. There are commercial products to automate these individual tasks. Incorporating all these software into video production can be expensive and difficult to manage. This study proposes the “Assist” software to handle all processes in video production. It has resulted in a product that covers the three main stages featuring scripts, storyboards, inventory management, production progress tracking and management, and rendering. The mentioned features were designed and developed using decision tree algorithm, PyQt5, general decimation algorithm, mesh simplification algorithm, and multi-variable regression.
URI: http://rda.sliit.lk/handle/123456789/1364
ISSN: 978-1-7281-8412-8
Appears in Collections:2nd International Conference on Advancements in Computing (ICAC) | 2020
Department of Computer Science and Software Engineering-Scopes

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