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Automatic detection of flashing video content

机译:自动检测闪烁视频内容

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Epilepsy is a disease that affects around 50 million people worldwide, 3-5% of which had seizures triggered by pulsating lights, or by patterns with light and dark areas, a condition known by photosensitive epilepsy (PSE). Video content with fast luminance variations, or with spatial patterns of high contrast - referred to as epileptogenic visual content - may also induce seizures on viewers with PSE, and even cause discomfort on users not affected by this disease. To avoid this type of effects, harmful visual content should be detected before being distributed or displayed. In this paper we propose a method for the automatic detection of flashing video content, compliant with recommendation ITU-R BT. 1702. A key aspect of the proposed method is its computational efficiency, allowing real time implementation at the end-user equipment.
机译:癫痫是一种影响全世界约5000万人的疾病,其中3-5%的癫痫发作是脉动灯的触发,或通过光和黑暗区域的模式,一种由光敏癫痫(PSE)已知的病症。具有快速亮度变化的视频内容,或具有高对比度的空间模式 - 也称为癫痫视觉视觉含量 - 也可以在具有PSE的观众诱发癫痫发作,甚至导致受该疾病影响的用户不适。为避免这种类型的效果,在分布或显示之前应检测有害视觉内容。在本文中,我们提出了一种自动检测闪烁视频内容的方法,符合ITU-R BT的推荐。 1702.所提出的方法的一个关键方面是其计算效率,允许在最终用户设备处实时实现。

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