Semantic-based scene image classification

As more and more people share and search the images on the Internet, there has strong demand to automatically classify the images and mimic human visual perception. This paper proposes a new semantic based classification method for scene images. It efficiently classifies the image with the semantic model of the scene. And it builds a 4-dimension object semantic histogram based on the low-level features of the major objects. The SVM is used for the multi-class classifier in order to get the scene semantics. The experiments show that this algorithm is very efficient and effective with a high accuracy level for scene images.