Inlämning av Examensarbete / Submission of Thesis

Oziel Gonzalez Lagunas MEE10:102, pp. 56. COM/School of Computing, 2011.

The work

Författare / Author: Oziel Gonzalez Lagunas
Titel / Title: Analysis of H.264 Sensitivity to Packet Loss and Delay Variation
Abstrakt Abstract:

The number and popularity of multimedia services and applications on the Internet has increased greatly in recent years. Services employing real-time video, such as mobile TV, video-conferencing and tele-medicine are growing, and the users expectations of quality are increasing.
This thesis analyses the impact on perceived quality of received videos sent across a network, emulation is used to emulate network characteris- tics with packet loss and delay variation for video sequences with different characteristics.
This work aims to understand the user perception of video quality with packet loss and delay variation for videos encoded with H.264 on laptop computers and mobile phones. Further, it seeks to understand if users have different video quality expectations for laptops and mobile phones.
The Mean Opinion Score (MOS) and statistical methods are used to evaluate the video quality perceived by users. It was found that packet loss and delay variation affects the perceived quality of video. In addition, it is shown that there is no significance difference between doing the experiment in the mobile phone or in the laptop displaying the same resolution.

Ämnesord / Subject: Telekommunikation - Telecommunications
Elektroteknik - Electrotechnology
Nyckelord / Keywords: H.264, subjective video quality, packet loss, delay variation

Publication info

Dokument id / Document id:
Program:/ Programme Electrical Engineering with emphasis on Telecommunication
Registreringsdatum / Date of registration: 02/23/2011
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)


Handledare / Supervisor: Tahir Nawaz Minhas
Examinator / Examiner: Patrik Arlos
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: COM/School of Computing

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: mee10_102.pdf (1998 kB, öppnas i nytt fönster)