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MPEG-4, H.264 and H.265 video Bandwidth prediction via markovian models and Simulated Annealing

Kalampogia Athina

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URIhttp://purl.tuc.gr/dl/dias/C80DB806-F5FB-4F21-A273-5E65D451F012-
Identifierhttps://doi.org/10.26233/heallink.tuc.67562-
Languageen-
Extent68 pagesen
TitleMPEG-4, H.264 and H.265 video Bandwidth prediction via markovian models and Simulated Annealingen
TitleΠρόβλεψη απαιτούμενου Bandwidth για ταινίες HPEG-4, H.264 & H.265 μέσω μαρκοβιανών μοντέλων και του αλγόριθμου Simulated Annealingel
CreatorKalampogia Athinaen
CreatorΚαλαμπογια Αθηναel
Contributor [Thesis Supervisor]Koutsakis Polychronisen
Contributor [Thesis Supervisor]Κουτσακης Πολυχρονηςel
Contributor [Committee Member]Lagoudakis Michaelen
Contributor [Committee Member]Λαγουδακης Μιχαηλel
Contributor [Committee Member]Paterakis Michalisen
Contributor [Committee Member]Πατερακης Μιχαληςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Electrical and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστώνel
Content SummaryThe explosive growth of multimedia applications renders the efficiency of network resource allocation a problem of major importance. The burstiness of video traffic, in particular, calls for traffic control solutions that will help prevent significant packet losses. Such losses can lead to unacceptable Quality of Service (QoS) and Quality of Experience (QoE) to users. In this work, we focus on a large variety of MPEG-4, H.264 and H.265-encoded video traces with different structural patterns. Different versions of each trace, in low, medium and high quality have been used in our study. We evaluated the accuracy of an existing video traffic prediction approach for the size of B-frames and tested some variants of it .We implemented the metaheuristic technique of Simulated Annealing to predict the size of B-frames, and compared the new results against an existing approach from the literature. We propose a new Markovian model that predicts B-frames’ sizes with significantly higher accuracy. B-frame size prediction can be used in order to reduce bandwidth requirements and smoothen the encoded video stream, by selective B-frame dropping, when the model predicts larger upcoming B-frame traffic than the network can handle.en
Type of ItemΜεταπτυχιακή Διατριβήel
Type of ItemMaster Thesisen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2017-03-15-
Date of Publication2017-
SubjectVideo traffic modelingen
Bibliographic CitationAthina Kalampogia, "MPEG-4, H.264 and H.265 video Bandwidth prediction via markovian models and Simulated Annealing", Master Thesis, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2017en
Bibliographic CitationΑθηνά Καλαμπόγια, "Πρόβλεψη απαιτούμενου Bandwidth για ταινίες HPEG-4, H.264 & H.265 μέσω μαρκοβιανών μοντέλων και του αλγόριθμου Simulated Annealing", Μεταπτυχιακή Διατριβή, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2017el

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