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http://hdl.handle.net/2445/197646
Title: | Design and implementation of an DL-based video pocessing pipeline |
Author: | Morral i Martín, Carla |
Director/Tutor: | Escalera Guerrero, Sergio |
Keywords: | Aprenentatge automàtic Vídeo digital Programari Treballs de fi de grau Algorismes computacionals Machine learning Digital video Computer software Computer algorithms Bachelor's theses |
Issue Date: | 13-Jun-2022 |
Abstract: | [en] This project was born as an internal need at Amazon for being able to automatically or semi-automatically perform Quality Assurance checks to videos featuring books in order to eliminate or reduce the human time spent on doing video QA. The proposed workflow uses a variety of tools and algorithms that will be detailed, including the use of deep learning. This is a good example of a real-life use-case in which deep learning is used to help improve the humans life. This video processing pipeline is composed of some checks to ensure that the videos are correctly rendered and is already integrated to the major architecture Waldo Media Factory, and ready to be used in production. |
Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2022, Director: Sergio Escalera Guerrero |
URI: | http://hdl.handle.net/2445/197646 |
Appears in Collections: | Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
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tfg_morral_i_martin_carla.pdf | Memòria | 6.48 MB | Adobe PDF | View/Open |
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