线性和非线性媒体内容的地理参考方法

Q3 Social Sciences GI_Forum Pub Date : 2023-01-01 DOI:10.1553/giscience2022_02_s66

Flavio Horbach, Dominik Visca, S. Pagel, Pascal Neis

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引用次数: 0

摘要

各种方法，例如图像识别、语音到文本算法和自然语言处理，可用于捕获线性和非线性媒体内容中的位置引用。这些方法在技术、程序或媒介(如音轨或视频图像)方面有所不同。我们的调查基于视频的元数据，揭示了对媒体内容进行地理参考是可能的，并且，使用来自ARD Mediathek的例子，视频的类型和内容可以影响结果

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Methods for Georeferencing Linear and Non-Linear Media Content

Various methods, for example image recognition, speech-to-text algorithms, and natural language processing, can be used to capture location references in linear and non-linear media content. The methods differ in terms of the technologies, procedures or media, such as the audio track or video images. Our investigation, which is based on the metadata of a video, reveals that georeferencing media content is possible, and that, using examples from the ARD Mediathek, the genre and thus the content of a video can influence the results

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