Συντάχθηκε 08-11-2011 14:56
από Galateia Malandraki
Email συντάκτη: gmalandraki<στο>tuc.gr
Ενημερώθηκε:
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Ιδιότητα: υπάλληλος ΑΡΜΗΧ.
ΠΟΛΥΤΕΧΝΕΙΟ ΚΡΗΤΗΣ
Τμήμα Ηλεκτρονικών Μηχανικών & Μηχανικών Υπολογιστών
ΠΑΡΟΥΣΙΑΣΗ ΔΙΠΛΩΜΑΤΙΚΗΣ ΕΡΓΑΣΙΑΣ
ΒΑΣΙΛΕΙΑΔΟΥ ΔΗΜΗΤΡΑ
με θέμα
“Μοντελοποίηση κίνησης από Πολυπλεγμένες Πηγές Η.264 Βίντεο”
“Modeling Video Traffic from Multiplexed H.264 Video Streams”
Πέμπτη 10 Νοεμβρίου 2011, 11πμ
Αίθουσα 2042, Εξωτερικά του Κτιρίου Επιστημών, Πολυτεχνειούπολη
Εξεταστική Επιτροπή
Επίκουρος Καθηγητής Πολυχρόνης Κουτσάκης (επιβλέπων)
Καθηγητής Μιχαήλ Πατεράκης
Καθηγητής Μιχαήλ Ζερβάκης
Abstract
As traffic from video services is expected to be a substantial portion of the traffic carried by emerging wired and wireless networks, statistical source models are needed for Variable Bit Rate (VBR) coded video in order to design networks which are able to guarantee the strict Quality of Service (QoS) requirements of the video traffic. Video packet delay requirements are strict, because delays are annoying to a viewer; when the delay experienced by a video packet exceeds the corresponding maximum delay, the packet is dropped and the video packet dropping requirements are equally strict. Hence, the problem of modeling video traffic becomes especially significant.
H.264 is the latest video coding standard of the ITU-T Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG). It has recently become the most widely accepted video coding standard since the deployment of MPEG2 at the dawn of digital television. It covers all common video applications ranging from mobile services and videoconferencing to IPTV, HDTV, and HD video storage.
Previous work on modeling video traffic (mainly videoconference) coded with past encoding standards found that the marginal distributions for all the sequences could be described by a gamma or Pearson V distribution and used this result to build a Discrete Autoregressive (DAR) model of order one, which works well when several sources are multiplexed. Our study focuses on the problem of modeling video (i.e., not videoconference) traffic from H.264 encoders, which is a relatively new and yet open issue in the relevant literature. Our results reveal significant differences with the results of the past relevant literature, but still show that the DAR(1) model can provide a reliable modeling approach for more than half of the cases studied.
Συνημμένα:
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Diplom-Vasileiadou.docx
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