Image emotional semantic query based on color semantic description

Describing images in semantic terms is an important and challenging problem in content-based image retrieval. According to the strong relationship between colors and human emotions, an emotional semantic query model based on image color semantic description is proposed in this study. First, images are segmented into regions through a new color image segmentation algorithm. Then, term sets are generated through a fuzzy clustering algorithm so that colors can be interpreted in semantic terms. We extend the method to extract the color semantic of image regions, and develop a novel approach for describing image color semantic including regional and global semantic description. Finally, we present an image query scheme through image color semantic description, which allows the users to query images with emotional semantic words. Experimental results demonstrate the effectiveness of our approach.