Video quality evaluation is an important subject in video broadcasting. No-Reference (NR) metrics are especially interesting, given that it does not demand the original video for the quality assessment, thus it is adequate for industrial applications. This work describes the implementation of a NR technique in an FPGA platform that can be potentially employed in real time video quality assessment in broadcast systems.

SUMMARYA simple and efficient reduced-reference video quality assessment method based on the activity-difference of DCT coefficients is proposed. The method provides better accuracy, monotonicity, and consistent predictions than the PSNR full-reference metric and comparable results with the full-reference SSIM. It also shows an improved performance to a similar VQ technique based on the calculation of the pixel luminance differences performed in the spatial-domain. key words: DCT, reduced-reference metric, video quality assessment

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SUMMARYDigital video signals are subject to several distortions due to compression processes, transmission over noisy channels or video processing. Therefore, the video quality evaluation has become a necessity for broadcasters and content providers interested in offering a high video quality to the customers. Thus, an objective no-reference video quality assessment metric is proposed based on the sigmoid model using spatialtemporal features weighted by parameters obtained through the solution of a nonlinear least squares problem using the Levenberg-Marquardt algorithm. Experimental results show that when it is applied to MPEG-2 streams our method presents better linearity than full-reference metrics, and its performance is close to that achieved with full-reference metrics for H.264 streams. key words: H.264, MPEG-2, no-reference metric, objective video quality assessment

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