Classification of Natural Scene Images Based on Detection of Emotions
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Abstract
Emotion in natural scene images plays an important role in the way humans perceive an image. Based on the emotion (happiness, sadness, fear, anger etc.) of any human being the images that are viewed by that person can have a significant impact in a sense that if the person is for example in happy mood and he/she views an image that is pleasing then he/she would have a better sense of attachment towards that image and would not accept an image that depicts sadness as an emotion. Although different people may interpret the same image in different ways, we still can build a universal classification for different emotions.Emotion detection in scene images basically means that the scene image should be classified properly based on image semantics. Any image can be classified into three levels of semantics that is low level, medium level, high level. Our task is to bridge the gap between the different levels.
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Keywords: Emotion Recognition, Facial Expression, Image Classification, CBIR, Support Vector Machine.
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