Evaluating Conformance of Video Safety Tools for Photosensitive Epilepsy.

J Bern Jordan
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Abstract

People with photosensitive epilepsy (PSE) may have seizures caused by flashing lights, particular video sequences, and bold standing patterns. To reduce the risk from video and other content, five international guidelines have been created that outline the characteristics of flashing that can cause harm when taken together: large areas, intense changes, and a range of flash rates. Automated tools can evaluate video sequences according to these standards. However, there are few reference videos available to validate and compare such automated PSE tools. Furthermore, the test videos that have been reported to date do not thoroughly test PSE algorithms' adherence to standards. This article describes some of the gaps in current testing paradigms and proposes additional validation tests for PSE hazard analysis tools. We have also created a new tool that can be used to generate ground-truth video sequences for validating and comparing PSE safety algorithms. This tool can create videos that extend beyond the simple alternating-frames test videos typically used to date. Additionally, more complicated test videos can be generated to test more nuanced characteristics of the standards or to test algorithms' susceptibility to confounding-but-harmless flashing.

评估光敏性癫痫视频安全工具的符合性。
患有光敏性癫痫(PSE)的人可能会因闪烁的灯光、特定的视频序列和大胆的站立模式引起癫痫发作。为了减少来自视频和其他内容的风险,已经制定了五项国际准则,概述了闪光的特征,这些特征在一起会造成伤害:大面积,强烈变化和闪光频率范围。自动化工具可以根据这些标准评估视频序列。然而,很少有可用于验证和比较这些自动化PSE工具的参考视频。此外,迄今为止报道的测试视频并没有彻底测试PSE算法是否符合标准。本文描述了当前测试范例中的一些缺陷,并为PSE危害分析工具提出了额外的验证测试。我们还创建了一个新工具,可用于生成用于验证和比较PSE安全算法的真实视频序列。这个工具可以创建超越简单的交替帧测试视频的视频。此外,可以生成更复杂的测试视频来测试标准的更细微的特征,或测试算法对混淆但无害的闪烁的敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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