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The video quality metrics are required in order to estimate picture quality for mobile or portable devices. The motivation of our research on mobile video quality is because of the recently emerging standard MPEG-4 Part 10 H.264/AVC (Advanced Video Coding), which is not only used for the mobile industry but also for portable multimedia devices. The estimation of video quality degradation in multimedia systems will help to maintain the quality of video. These quality metrics not only help improve the video quality but also to reduce the bandwidth where we have bandwidth constraint. There are…mehr

Produktbeschreibung
The video quality metrics are required in order to estimate picture quality for mobile or portable devices. The motivation of our research on mobile video quality is because of the recently emerging standard MPEG-4 Part 10 H.264/AVC (Advanced Video Coding), which is not only used for the mobile industry but also for portable multimedia devices. The estimation of video quality degradation in multimedia systems will help to maintain the quality of video. These quality metrics not only help improve the video quality but also to reduce the bandwidth where we have bandwidth constraint. There are two type of testing techniques, namely subjective and objective. In the objective scheme a practical approach has been taken into consideration and the results are computed via Matlab®. We have worked on both techniques and we have made calculations of MSE, SNR, and PSNR and been able to correlate objective scores to subjective scores.
Autorenporträt
Dr. M. B. Rajpur (geb. 1990) schloss 2013 sein Studium der Veterinärmedizin und des AH-Bereichs an der Sardarkrushinagar Dantiwada Agricultural University (SDAU), Gujarat, mit einem Bachelor of Veterinary and AH Extension ab. Seinen Master of Veterinary and AH Extension erlangte er 2015 an der Sardarkrushinagar Dantiwada Agricultural University (SDAU), Gujarat. Seinen Ph.D. (Veterinärmedizin und AH Extension) erlangte er 2023 an der Kamdhenu University, Gujarat.