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Real-time Emotion Retrieval Mechanism using Visual Information Features

Jae-Khun Chang, Seung-Taek Ryoo

Abstract


According to gender, age, ethnicity, or residential areas, the emotion assessment can be diverse about the same image. Images are especially powerful whenever it is difficult to describe the depicted information by words or numbers. Due to great difficulties in recognizing and classifying images at a general level, not much success has been achieved in identifying high-level mechanism for image browsing and retrieval. In this paper, the features of the image are extracted from the intrinsic information of the image and a new emotion retrieval model is designed by the emotion classification based on the visual information features.

Keywords


Emotion retrieval, Image feature, Visual contents.

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