Robotics & Machine Learning Daily News2024,Issue(Jun.17) :93-94.

Investigators from Federal University Zero in on Machine Learning (Adaptive Complexity Control for Av1 Video Encoder Using Machine Learning)

联邦大学的研究人员致力于机器学习(使用机器学习的Av1视频编码器的自适应复杂性控制)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :93-94.

Investigators from Federal University Zero in on Machine Learning (Adaptive Complexity Control for Av1 Video Encoder Using Machine Learning)

联邦大学的研究人员致力于机器学习(使用机器学习的Av1视频编码器的自适应复杂性控制)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据NewsRx Corresp Ondents从巴西佩洛塔斯发回的新闻报道,研究表明,“数字视频被广泛应用于各种平台,包括智能手机和其他电池供电的移动设备,这些平台可能会受到能耗和性能限制的影响。视频编码器有能力压缩视频数据,通过降低数据速率,同时保持图像质量,从而能够使用这类媒体。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news originating from Pelotas, Brazil, by NewsRx corresp ondents, research stated, “Digital videos are widely used on various platforms, including smartphones and other battery-powered mobile devices, which can suffer from energy consumption and performance constraints. Video encoders are respons ible for compressing video data, enabling the use of this type of media by reducing the data rate while maintaining image quality.”

Key words

Pelotas/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning/Federal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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