Abstract

Video delivering over Internet protocol (IP)-based communication networks is widely used in the actual information sharing scenario. As well known, the best-effort Internet architecture cannot guarantee an errorless data delivering. In this paper, an objective no-reference video quality metric for assessing the impact of the degradations introduced by video transmission over heterogeneous IP networks is presented. The proposed approach is based on the analysis of the inter-frame correlation measured at the output of the rendering application. It does not require any information on errors, delays, and latencies affecting the links and on the countermeasures introduced by decoders in order to face the potential quality loss. Experimental results show the effectiveness of the proposed algorithm in approximating the assessments obtained by using human visual system (HVS)-inspired full reference metrics.

Highlights

  • In the last decade, a fast market penetration of new multimedia services has been experienced

  • The alternative is to compare, under the same testing conditions, the gathered results with those provided by reliable full reference metrics

  • The scores collected by this tool in evaluating impaired videos have been compared with the ones gathered with the full reference VQMNTIA metrics and with the mean opinion score (MOS) collected by means of a subjective experiment

Read more

Summary

Introduction

A fast market penetration of new multimedia services has been experienced. Media sharing portals and social networks are mostly based on user-contributed video content, showing a different perspective of user relation with digital media: from being media consumers to being part of content creation, distribution, and sharing. This information sharing evolution presents many challenges; in particular, Internet protocol (IP)-based multimedia services require a transparent delivery of media resources to end users that has to be independent on the network access, type of connectivity, or current network conditions [1]. There are many factors that can prejudice the quality of the delivered video

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call