A Survey of Image Retrieval Based on Visual Perception

One of the most challenging research issues in content-based image retrieval(CBIR) is how to bridge the significant semantic gap between the low-level image features and the high-level semantic concepts.The well-known solutions are relevance feedback and regions of interest(ROIs) detection;however both are subjective and time-consuming.We propose the visual information is a new feature that can objectively interpret the high-level concepts and effectively reduce the semantic gap in image retrieval.We also make a survey on the research progresses and key technologies of visual perception.The research issues of image retrieval based on visual perception are introduced as well from four aspects:ROIs detection,image segmentation,relevance feedback and personalized retrieval.