关键词: 图像检索, 语义鸿沟, 语义标注, 图像分割, 小波轮廓

Abstract: In order to effectively resolve the “semantic gap” exists 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. Experiment indicates the method can significantly improve recall ratio and precision ratio, the maximum of precision is 23.6%, results prove that the model can understand image better also has good annotation effect and retrieval performance.

Key words: image retrieval, semantic gap, semantic annotation, image segmentation, wavelet contour