Emotion and Colour Combination based Aesthetic Classification of Images

Aesthetics in the world of art and photography refers to the study of beauty and taste. However, determining aesthetic qualities of any visual representation of art is a highly subjective task. Hence, there is no unanimously agreed standard for measuring aesthetic value. In spite of the lack of formed rules, certain features in photographic images are believed, by many, to please humans more than others. Image processing involves taking image as an input and performing operations on it. The main aim of our system is to tell if certain image is generically appealing or not based on the color aesthetics of the image. In this system we take an image from a training data set of images, extract color features of that image and based on the color combination and contrast ratio between the foreground and background of the image, classify the image as appealing or not. We also took a few surveys for understanding the color combinations which are more preferred by humans and also the variation in the color preferences according to gender along with emotions which were evoked. The survey results were then used as guideline in designing the classifier rules. This paper will depict the work done on this system in brief.