Progressive Image Content Understanding Based on Multi-Level Image Description Model
Gao Yong · Dianzi xuebao · 2001
In this paper,an new method for progressive image content understanding based on multi level image description model is proposed,aiming at overcoming the considerable gap between low level image features and high level image semantics in the field of image retrieval.In the proposed image content description model,image contents are analyzed and extracted in different levels,reaching at omnidirectional image content description.In addition,the transition from low level to high level is exactly a progressive image understanding.In this paper,a new algorithm for object understanding is proposed,which is based on pre knowledge and is context driven,in order to extract image semantics.As a practical instance,discussion about combining the proposed method into content based image retrieval is also given.