A new approach for interactive semantic image retrieval using the high level semantics

Content-based image retrieval and text-based image retrieval are two Fundamental approaches in the field of image retrieval. Recently, the researchers use the combining approaches and semiautomatic image retrieval, using the user interaction in the retrieval cycle. In this paper, an image retrieval approach is introduced that provides the retrieval process semi-automatically using the relevance feedbacks of the user and the novel similarity metrics for related high level semantic labels to the images. The proposed approach can reply different requests in the image retrieval domain based on a hierarchical semantic network and doing a new kind of learning process by the feedbacks given by user. According to experiments, our proposed approach concludes considerable accuracy for retrieval results.