A Long Term Learning Method in CBIR Systems by Defining Semantic Templates

This paper provides a long term learning method in CBIR systems by defining a kind of semantic template to represent semantic concepts of images. Information, which isachieved in the short learning technique, is used in construction of semantic templates. A similarity function is introduced to findthe similarity between queries and semantic templates. The experimental results confirm the effectiveness of the proposed method.

Keywords:

Content based image retrieval , Long term learning , Semantic template