Abstract
In order to effectively resolve the "semantic gap" in image retrieval,this paper studied a new method for semantic annotation.Based on image segmentation,the method constructed image dictionary during the training phase,through analysis and description of color,texture and wavelet contour,established the two-stage annotation model combining comparison of wavelet contour and probability.It adopted corresponding method for different images by phases.The experimental results indicate the method can significantly improve recall and precision,and the maximum of precision is 23.6 percent.Besides,the model can understand image better and it also has good annotation effect and retrieval performance.
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