Machine oriented image compression: a content-adaptive approach
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25.04.23 – 4262:19Популярные
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70 дней – 2927:02Опубликовано 24 апреля 2023, 12:42
An increasing amount of videos and images are watched by computer algorithms instead of humans. Our research considers how image coding can adapt to non-human eyes, with implications for smart cities, factory robotics, security and much more. Discover how an inference-time content-adaptive approach can improve compression efficiency for machine-consumption without modifying codec parameters.
Want to learn more? Read the article by Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi-Youvalari, Hamed R. Tavakoli, Esa Rahtu
ieeexplore.ieee.org/document/9...
Want to learn more? Read the article by Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi-Youvalari, Hamed R. Tavakoli, Esa Rahtu
ieeexplore.ieee.org/document/9...
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