19 September 2017 JPEG XS-based frame buffer compression inside HEVC for power-aware video compression
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With the emergence of Ultra-High Definition video, reference frame buffers (FBs) inside HEVC-like encoders and decoders have to sustain huge bandwidth. The power consumed by these external memory accesses accounts for a significant share of the codec’s total consumption. This paper describes a solution to significantly decrease the FB’s bandwidth, making HEVC encoder more suitable for use in power-aware applications. The proposed prototype consists in integrating an embedded lightweight, low-latency and visually lossless codec at the FB interface inside HEVC in order to store each reference frame as several compressed bitstreams. As opposed to previous works, our solution compresses large picture areas (ranging from a CTU to a frame stripe) independently in order to better exploit the spatial redundancy found in the reference frame. This work investigates two data reuse schemes namely Level-C and Level-D. Our approach is made possible thanks to simplified motion estimation mechanisms further reducing the FB’s bandwidth and inducing very low quality degradation. In this work, we integrated JPEG XS, the upcoming standard for lightweight low-latency video compression, inside HEVC. In practice, the proposed implementation is based on HM 16.8 and on XSM 1.1.2 (JPEG XS Test Model). Through this paper, the architecture of our HEVC with JPEG XS-based frame buffer compression is described. Then its performance is compared to HM encoder. Compared to previous works, our prototype provides significant external memory bandwidth reduction. Depending on the reuse scheme, one can expect bandwidth and FB size reduction ranging from 50% to 83.3% without significant quality degradation.
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Alexandre Willème, Alexandre Willème, Antonin Descampe, Antonin Descampe, Gaël Rouvroy, Gaël Rouvroy, Pascal Pellegrin, Pascal Pellegrin, Benoit Macq, Benoit Macq, } "JPEG XS-based frame buffer compression inside HEVC for power-aware video compression", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103960C (19 September 2017); doi: 10.1117/12.2273170; https://doi.org/10.1117/12.2273170


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