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EmoTune - Changing Emotional Response to Images

机译:EmoTune-改变图像的情感反应

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Images and videos can be touching, triggering emotional responsesrnor even changing the mood of the observer. The responsernis influenced both by the image content as well as the appearancernof the image. In this paper, we investigate how solely simple imagernprocessing, i.e., modifying the brightness, the saturation, orrnthe color temperature, actually changes the emotional perception.rnWe collect empirical data on images associated with emotion labelsrnand analyze the valence ratings of the different modificationsrnand their strengths. We show that these relationships tend to bernlinear only in a limited range while sometimes stronger modificationsrnlead to the opposite effect. Pushing the modifiers towardsrnthe boundaries we derive from those ranges and combining themrnsuccessfully shifted the emotional affect on 92% on around 80rnsamples. From these findings we derive our EmoTune filter whichrnallows for almost linear control by combining specific modes andrndemonstrate successful application to both images and videos.
机译:图片和视频可能会碰触,引发情绪反应甚至改变观察者的心情。响应速度受图像内容以及图像外观的影响。在本文中,我们研究了简单的图像处理(即修改亮度,饱和度或色温)如何真正改变情感感知。rn我们收集与情感标签相关的图像的经验数据,并分析不同修改的价数及其强度。我们表明,这些关系往往仅在有限的范围内呈线性关系,而有时更强的修饰会导致相反的效果。将修饰符推向我们从这些范围获得的边界并将其组合成功地将情感影响转移到大约80个样本上的92%。从这些发现中,我们得到了EmoTune滤波器,它通过组合特定模式并演示了对图像和视频的成功应用,几乎可以进行线性控制。

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