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Temporal information based GoP adaptation for linear video delivery schemes

Abstract : An original wireless video transmission scheme called SoftCast has been recently proposed to deal with the issues encountered in conventional wireless video broadcasting systems (e.g. cliff effect). In this paper, we evaluate and optimize the performance of the SoftCast scheme according to the transmitted video content. Precisely, an adaptive coding mechanism based on GoP-size adaptation, which takes into account the temporal information fluctuations of the video, is proposed. This extension denoted Adaptive GoP-size mechanism based on Content and Cut detection for SoftCast (AGCC-SoftCast) significantly improves the performance of the SoftCast scheme. It consists in modifying the GoP-size according to the shot changes and the spatio-temporal characteristics of the transmitted video. When hardware capacities, such as buffer or processor performance are limited, an alternative method based only on the shot changes detection (AGCut-SoftCast) is also proposed. Improvements up to 16 dB for the PSNR and up to 0.55 for the SSIM are observed with the proposed solutions at the cut boundaries. In addition, temporal visual quality fluctuations are reduced under 1dB in average, showing the effectiveness of the proposed methods.
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Submitted on : Tuesday, August 17, 2021 - 6:25:58 PM
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Anthony Trioux, Francois-Xavier Coudoux, Patrick Corlay, Mohamed Gharbi. Temporal information based GoP adaptation for linear video delivery schemes. Signal Processing: Image Communication, Elsevier, 2020, 82, 115734, 14 p. ⟨10.1016/j.image.2019.115734⟩. ⟨hal-03321530⟩



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