CONTENT-ADAPTIVE SIGNAL-TO NOISE-RATIO-GUIDED TWO-PASS VIDEO ENCODING FOR CLOUD GAMING

Techniques for encoding game content for real-time cloud-gaming, and more specifically to using an adaptive statistical model in a moving window of previous frames up to a current frame to adaptively compute a lower-bound of a quantization parameter (QP) that corresponds to a chosen peak signal to n...

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Hauptverfasser: ERKIN, Beril, HONG, Danny, XIE, Richard, TAHASILDAR, Ramachandra, SUKHANOV, Alex
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creator ERKIN, Beril
HONG, Danny
XIE, Richard
TAHASILDAR, Ramachandra
SUKHANOV, Alex
description Techniques for encoding game content for real-time cloud-gaming, and more specifically to using an adaptive statistical model in a moving window of previous frames up to a current frame to adaptively compute a lower-bound of a quantization parameter (QP) that corresponds to a chosen peak signal to noise ratio (PSNR) target. The result of this PSNR-guided encoding is significantly reducing the size of encoded frames (i.e., undershooting a target bit rate when there are no subjective quality losses on those frames using their PSNR as the guidance). These reductions mitigate bandwidth issues and improve the overall user experience because less bits transferred results in faster network transmission and decoding, as well as less platform overhead.
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subjects ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PICTORIAL COMMUNICATION, e.g. TELEVISION
title CONTENT-ADAPTIVE SIGNAL-TO NOISE-RATIO-GUIDED TWO-PASS VIDEO ENCODING FOR CLOUD GAMING
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