Abstract
In this paper, a novel no-reference video quality assessment algorithm based on region of interest (ROI) is introduced. Firstly, the video distortion is estimated by measuring the influence of blockiness and blur artifacts. Secondly, ROI is identified utilizing the encode information extracted from the bitstream with consideration of human vision system characteristics. Finally, the video quality is predicted using both video distortion and ROI. Experimental results show that the proposed algorithm can achieve better accuracy as compared with other methods.
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.
