Fujitsu streamlines AI video recognition with high-quality compression technology

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Fujitsu Laboratories Ltd says it has developed a technology for compressing ultra-high-definition, high-volume video data to the minimum size needed for AI video recognition applications. This technology can compress video data to just one tenth the size of data prepared using conventional compression technology intended for visual confirmation by humans.

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In recent years, there has been a sharp increase in demand for AI analysis of video data in various business areas. The spread of 5th-generation mobile communications system, in particular, is expected to contribute to an explosive increase in the number of ultra-high-definition video images captured by cameras, as well as many images captured on the street and on production lines.

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In developing this new compression technology, Fujitsu said it focused on an important divergence in the way in which AI and humans recognize images. Namely, AI and humans tend to differ in the areas of the image that are emphasized as important for judgment when recognizing people, animals, or objects in video data.

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Fujitsu’s technology automatically analyzes the areas that AI values and to compress data to the minimum size that AI can recognize. This makes it possible to analyze a large amount of video data without compromising recognition accuracy, and at the same time significantly reduce operating and data transmission costs. It is also anticipated that the technology will allow users to analyze more advanced video data by combining multiple video data stored in the cloud, sensor data, and performance data such as sales data.

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