Query-by-sketch Semantic Object Image Retrieval
Yang Hua Cao · Journal of Chinese Computer Systems · 2010
Presented a novel query-by-sketch and relevance feedback based semantic object image retrieval system,aimed at reducing the semantic gap between low-level features and high-level semantics.Firstly the system retrieves semantic object images and their regions sets by calculating the distance between the shape features of the query sketch and the shape features in the object feature database.And then the system extracts user′s semantic features from the query sketch and the object images selected by the user.Finally,the system accomplishes the retrieval task on the image feature database by using region matching method.The experimental results show that the proposed method is effective in retrieving images and can mark semantic object in the image.