Abstract
A reduced-reference video quality assessment (VQA) method was proposed by using structural similarity (SSIM) index as a tool to extract features from both the original and the target video sequences, using a reference video pattern. The method is suitable for monitoring the video quality in real time and across the service provision chain. The performance of the proposed method was evaluated using a large experimental set of reference and nonreference video sequences and achieves an accuracy higher than 2.56% in comparison to SSIM. Additionally, comparison to subjectively evaluated scores of Laboratory for Image and Video Engineering video quality dataset, based on difference mean opinion scores, shows that the performance of the proposed method is within the range of the full reference VQA methods.
Highlights
The thriving interest of consumers for video content has brought the world closer to the universe of digital video provision than ever before
This paper proposes an RR video quality assessment (VQA) method using structural similarity (SSIM) index as a tool to extract features from both the original and the target video sequences, using a reference video pattern
The method is suitable for monitoring the video quality in real time and across the service provision chain
Summary
The thriving interest of consumers for video content has brought the world closer to the universe of digital video provision than ever before. During the service provision, the video stream may be needed to be dynamically transcoded at different formats/profiles (e.g., such as in the paradigm of mobile-edge computing), resulting in adapted media services that dynamically fit the current network conditions and the terminal device specifications This in-service transcoding process, which today can be supported by the emerging software-defined networking and network function virtualization techniques,[3] introduces to the media service a wide variety of encoding impairments that degrade the deduced quality level of the encoded media service. These VQA methods would be able to assess the quality
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
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 callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
