媒体无障碍自动化:通过生成式人工智能算法分析音频描述的方法

IF 2 Q2 COMMUNICATION
Daniel Bergin, Brett Oppegaard
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引用次数: 0

摘要

新出现的 GenAI-AD 的公共可用性激增,为看不见或看不清的人带来了自动无障碍访问的希望。本文通过一种双重渲染方法来检验这些承诺,该方法要求 GenAI-AD 引擎描述一个简单的人物肖像,然后将这些生成的文本返回到 GenAI-AD 引擎,对其先前所描述的内容进行可视化,从而揭示 GenAI 的功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automating Media Accessibility: An Approach for Analyzing Audio Description Across Generative Artificial Intelligence Algorithms
A surge in public availability of emerging GenAI-AD has brought back the promises of automated accessibility for people who cannot see or see well. This article tests those promises through a double-rendering method that asks GenAI-AD engines to describe a simple portrait of a person and then returns these generated texts into GenAI-AD engines for visualizations of what they earlier had described, revealing insights about GenAI efficacies
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来源期刊
CiteScore
3.00
自引率
45.50%
发文量
35
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