Research on High-Level Semantic Image Retrieval
This paper presented the key problems to shorten “semantic gap” between low-level visual features and high-level semantic features to implement high-level semantic image retrieval. First, introduced ontology based semantic image description and semantic extraction methods based on machine learning. Then, illustrated image grammar on the high-level semantic image understanding and retrieval, and-or graph and context based methods of semantic image. Finally, we discussed the development directions and research emphases in this field.
C. Y. Ri and M. Yao, "Research on High-Level Semantic Image Retrieval", Advanced Materials Research, Vols. 268-270, pp. 1427-1432, 2011