Blind frame freeze detection in coded videos

Yammine G, Wige E, Simmet F, Niederkorn D, Kaup A (2012)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2012

Pages Range: 341-344

Article Number: 6213315

Event location: Krakow PL

ISBN: 9781457720482

DOI: 10.1109/PCS.2012.6213315

Abstract

In multimedia systems, system errors and artifacts should be avoided in order to keep the Quality of Experience (QoE) of the user as high as possible. For that, the system should be tested and monitored for a long time to assure normal operation. In this paper, we present a new algorithm that automatically detects freezing artifacts in coded videos. The system output is captured and encoded, and the error/artifact detection is run later on the decoded video. One major constraint on our detection algorithm is that every freeze should be detected in order to analyze the reason of its occurrence. Such a constraint entails a high number of false alarms when using the standard freeze detection algorithms. For that, we present a new algorithm that keeps the number of true positives to its maximum, while minimizing the number of false positives. © 2012 IEEE.

Authors with CRIS profile

Gilbert Yammine Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Eugen Wige Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Yammine, G., Wige, E., Simmet, F., Niederkorn, D., & Kaup, A. (2012). Blind frame freeze detection in coded videos. In Proceedings of the 29th Picture Coding Symposium, PCS 2012 (pp. 341-344). Krakow, PL.

MLA:

Yammine, Gilbert, et al. "Blind frame freeze detection in coded videos." Proceedings of the 29th Picture Coding Symposium, PCS 2012, Krakow 2012. 341-344.

BibTeX: Download