OpenCL-Based Design of an FPGA Accelerator for H.266/VVC Transform and Quantization-Reference-Cited by-同舟云学术

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OpenCL-Based Design of an FPGA Accelerator for H.266/VVC Transform and Quantization

Published:2022-08-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)
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Author:

Waidyasooriya Hasitha Muthumala¹,Hariyama Masanori¹,Iwasaki Hiroe²,Kobayashi Daisuke³,Omori Yuya³,Nakamura Ken³,Nitta Koyo³,Sano Kimikazu³

Affiliation:

1. Tohoku University, 6-3-09, Aramaki-Aza-Aoba, Aoba,Graduate School of Information Sciences,Sendai,Miyagi,Japan,980-8579

2. Tohoku University,Tough Cyberphysical AI Research Center, Graduate School of Information Sciences,Sendai,Miyagi,Japan

3. NTT Device Innovation Center, NTT Corporation, 3-1 Morinosatowakamiya,Atsugi,Kanagawa,Japan,243-0198

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9859262/9859267/09859281.pdf?arnumber=9859281

Reference20 articles.

1. Design of FPGA-Based Computing Systems with OpenCL

2. Discrete Cosine Transform

3. Algorithm and Architecture Optimization for 2D Discrete Fourier Transforms with Simultaneous Edge Artifact Removal

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HLS and FPGA-Powered Streaming Video Encoder Accelerator for IoTs Edge Computing;Journal of Advances in Information Technology;2024

2. FPGA-Based Hardware/Software Codesign for Video Encoder on IoT Edge Platforms;Computational Science and Its Applications – ICCSA 2023 Workshops;2023

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