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H.264 and H.265 video bandwidth prediction

Kalampogia Athina, Koutsakis Polychronis

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/60A01B35-E3F5-47F8-9CBF-6F1519266872
Έτος 2018
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά Μη διαθέσιμο για την επιλεγμένη γλώσσα
Εμφανίζεται στις Συλλογές

Περίληψη

The 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 paper, we focus on a large variety of H.264-and H.265-encoded video traces with different GoP patterns. Different versions of each trace, in low, medium, and high quality have been used in our study.We evaluate the accuracy of an existing video traffic prediction approach for the size of B-frames, and 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 smooth the encoded video stream, by selective B-frame dropping, when the model predicts larger upcoming Bframe traffic than the network can handle.

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