Kvazaar 4K HEVC intra encoder on FPGA accelerated airframe server

Sjövall, Panu; Viitamäki, Vili; Oinonen, Arto; Vanne, Jarno; Hämäläinen, Timo D.; Kulmala, Ari

doi:10.1109/sips.2017.8109999

Cited by 8 publications

(8 citation statements)

References 16 publications

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“…The implementations [1] and [2] have lower coding efficiency relative to HEVC standard, (PSNR) −0.16 dB and -3%, respectively. [3] has the same coding efficiency as HEVC. The efficient coding of [1], [2] and [3] are better than proposed SAT-video coding.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…[3] has the same coding efficiency as HEVC. The efficient coding of [1], [2] and [3] are better than proposed SAT-video coding. However, the hardware required is much larger than the proposed SAT-video coding implementation.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…However, the hardware required is much larger than the proposed SAT-video coding implementation. Studies [1] and [3] use test video sizes 1.35 times larger, but the number of LUTs used are 6 and 20 times higher. Moreover, the number of DSPs used in the proposed design has the lowest value among the methods investigated.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…The power consumption increases almost linearly with the clock frequency [39]. The proposed SAT-video coding is designed to work with the same frequency with [3], and a lower frequency than design [2], [1]. Therefore, the proposed hardware implementation and [3] have lower power consumption than other designs.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…However, onboard remote sensing video has a challenge: the contradiction between limited power, satellite hardware resource, and small capacity of transmission bandwidth between the Earth and orbit with video quality. Video compression standards such as MPEG-2, H.264/AVC, H.265/HEVC are limited in deployment to the resource-constrained onboard satellite because of the enormous computational complexity of these methods [1][2] [3]. Therefore, interest in the successful development of methods with which to produce real-time remotely acquired video is growing [4] [5].…”

Section: Introductionmentioning

confidence: 99%

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Edge Computing-Based SAT-Video Coding for Remote Sensing

et al. 2022

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This paper proposes an edge computing-based video coding implementation on an Earth observation satellite (SAT-video coding), which can encode video using limited resources and the power of mini/microsatellites. SAT-video coding proposes a hardware-related quantization (Q) function, hardware reduction of the motion estimation (ME) method, and simplified entropy coding (EC), which reduces the computation complexity. The hardware-related Q reduces hardware resource and power consumption by 72% and 55%, respectively, compared with traditional Q implementation. The hardware reduction of ME reduces resource use compared with regular ME implementation (59 % of lookup tables [LUTs] and 79% of Registers). The total number of LUTs used for the simplified EC function is also much lower than other EC hardware implementations. The SAT-video encoder IP uses fewer hardware resources, and the power consumption is estimated at 0.0894 W at a high working frequency (125 MHz). The SAT-video encoding speed is 18.95 frames per second for 2560×2560 video. Therefore, the proposed SAT-video coding is an edge computation suitable for micro/minisatellites. The coding efficiency records the highest compression ratio at 33.8, with a peak signal-to-noise ratio of 34.46 dB. With the important task of designing edge computing based on satellite video encoding, these are adequate values for remote sensing video.INDEX TERMS Video compression, remote sensing video, hardware acceleration, satellite.

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