An Overview of Dedicated Hardware Designs for State-of-the-Art AV1 and H.266/VVC Video Codecs

Saldanha, Mário; Corrêa, Marcel; Corrêa, Guilherme; Palomino, Daniel; Porto, Marcelo; Agostini, Luciano

doi:10.1109/icecs49266.2020.9294862

Cited by 15 publications

(4 citation statements)

References 18 publications

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“…These codecs and standards are more advanced and computationally complex with respect to their predecessors; they can provide higher quality videos for comparable levels of compression, and support high dynamic range videos and 8K resolution. However, the computational complexity of these novel techniques hinders real-time processing, and hardware acceleration solutions are not mature enough (contrary to H.264 and H.265) [18]. Hence, these standards are considered outside the scope of assisted and automated functions and not covered in this paper.…”

Section: Related Work a Video Compression Standardsmentioning

confidence: 99%

Semantic-Aware Video Compression for Automotive Cameras

Wang

Chan

Donzella

2023

IEEE Trans. Intell. Veh.

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Section: Related Work a Video Compression Standardsmentioning

confidence: 99%

Semantic-Aware Video Compression for Automotive Cameras

Wang

Chan

Donzella

2023

IEEE Trans. Intell. Veh.

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“…However, both Mansri et al [94] and Laude et al [81] report AV1 as more eicient than HEVC. Saldanha et al [122] conducted a review on hardware implementations of AV1 and VVC coding tools. The authors concluded that in the case of AV1, there are no hardware-based solutions for 2D hybrid transforms supporting any of the 16 allowed combinations.…”

Section: Computational Complexity Analysismentioning

confidence: 99%

Image and Video Coding Techniques for Ultra-low Latency

et al. 2022

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The next generation of wireless networks fosters the adoption of latency-critical applications such as XR, connected industry, or autonomous driving. This survey gathers implementation aspects of different image and video coding schemes and discusses their tradeoffs. Standardized video coding technologies such as HEVC or VVC provide a high compression ratio, but their enormous complexity sets the scene for alternative approaches like still image, mezzanine, or texture compression in scenarios with tight resource or latency constraints. Regardless of the coding scheme, we found inter-device memory transfers and the lack of sub-frame coding as limitations of current full-system and software-programmable implementations.

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“…The main goal was to create a new generation of video coding, to share video fast, easy and at low cost. In this panorama, Mozilla, Google and Cisco, with Amazon and Netflix and some hardware vendors like AMD and Intel, founded AOMedia in 2015 that, in 2018, published the first version of AV1 [1,2], a video codec largely based on VP9 [3]. Still, including many significant improvements, primarily the full compatibility with W3C Patent Policy [4]: essentially, it can be fully implemented with royalty-free licensing requirements.…”

Section: Introductionmentioning

confidence: 99%

VLSI Architectures of a Wiener Filter for Video Coding

et al. 2021

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In the modern age, the use of video has become fundamental in communication and this has led to its use through an increasing number of devices. The higher resolution required for images and videos leads to more memory space and more efficient data compression, obtained by improving video coding techniques. For this reason, the Alliance for Open Media (AOMedia) developed a new open-source and royalty-free codec, named AOMedia Video 1 (AV1). This work focuses on the Wiener filter, a specific loop restoration tool of the AV1 video coding format, which features a significant amount of computational complexity. A new hardware architecture implementing the separable symmetric normalized Wiener filter is presented. Furthermore, the paper details possible optimizations starting from the basic architecture. These optimizations allow the Wiener filter to achieve a 100× reduction in processing time, compared to existing works, and 5× improvement in megasamples per second.

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An Overview of Dedicated Hardware Designs for State-of-the-Art AV1 and H.266/VVC Video Codecs

Cited by 15 publications

References 18 publications

Semantic-Aware Video Compression for Automotive Cameras

Semantic-Aware Video Compression for Automotive Cameras

Image and Video Coding Techniques for Ultra-low Latency

VLSI Architectures of a Wiener Filter for Video Coding

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