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dc.contributor.authorChettouh, Jugurtha-
dc.contributor.authorAbbaci, Aissa-
dc.contributor.authorMezzah, Samia ; promotrice-
dc.date.accessioned2022-01-06T10:02:49Z-
dc.date.available2022-01-06T10:02:49Z-
dc.date.issued2021-
dc.identifier.urihttp://hdl.handle.net/123456789/17718-
dc.descriptionOption : Réseaux et Télécommunicationsen_US
dc.description.abstractThe dissertation is organized as follows. Chapter I present an overview of intelligent video surveillance systems in IoT environment. In chapter II, we recall principles of machine learning, Deep Learning and Computer Vision. Chapter III gives the architecture of the proposed intelligent embedded vision system with the description of the main hardware and software aspect. In chapter IV, we describe the software implementation of the proposed system for the generation of the video summary.en_US
dc.language.isoenen_US
dc.publisherUniversité Abderahmene Mira .Bejaiaen_US
dc.subjectIntelligent embedded vision : Deep learning and computer vision : IOTen_US
dc.titleIntelligent embedded vision for summarization of multi-view videos in IOT.en_US
dc.typeThesisen_US
Appears in Collections:Mémoires de Master

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