论文标题
使用多媒体内容分析的情感视频数据库，该分析评级为印度样品
An Affective Video Database using Multimedia Content Analysis rated on Indian samples
论文作者
论文摘要
需要自然主义情感刺激来创建情感技术解决方案以及在情感科学方面取得进展。尽管西方国家已经取得了很多情感多媒体刺激的进展，但基于此类单文化数据集的技术和发现可能无法扩展到其他文化。此外，情感多媒体内容的可用数据集在初始手动选择情感多媒体内容时具有一些实验者偏见。因此，在这项工作中，我们主要试图解决两个问题。第一个问题与实验者的主观偏见有关，第二个问题与在印度人群中验证的情感多媒体数据集的不可利用性有关。我们试图通过尽可能减少实验者的偏见来解决这两个问题。我们采用了数据科学和多媒体内容分析技术来执行我们的初始收集并进一步选择刺激。我们的方法导致了一个数据集，其内容种类繁多，西方和印度电影院的刺激以及沿价，唤醒和优势维度的刺激存在。我们得出的结论是，使用我们的方法可以创建更多的跨文化情感刺激数据集，这对于在情感技术和科学方面取得进展至关重要。
Availability of naturalistic affective stimuli is needed for creating the affective technological solution as well as making progress in affective science. Although a lot of progress in the collection of affective multimedia stimuli has been made in western countries, the technology and findings based on such monocultural datasets may not be scalable to other cultures. Moreover, the available dataset on affective multimedia content has some experimenter bias in the initial manual selection of affective multimedia content. Hence, in this work, we mainly tried to address two problems. The first problem relates to the experimenter's subjective bias, and the second relates to the non-availability of affective multimedia dataset validated on Indian population. We tried to address both problems by reducing the experimenter's bias as much as possible. We adopted the data science and multimedia content analysis techniques to perform our initial collection and a further selection of stimuli. Our method resulted in a dataset with a wide variety in content, stimuli from Western and Indian cinema, and symmetric presence of stimuli along valence, arousal and dominance dimensions. We conclude that using our method, more cross-cultural affective stimuli datasets can be created, which is essential to make progress in affective technology and science.
