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一种在无标注图像库中进行的基于关键词的检索方法*

, PP. 422-426

Keywords: 图像检索,图像标注,基于的检索,Web搜索,数据审计

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Abstract:

提出一种在无标注图像库中进行的基于关键词的检索方法.该方法在用户输入关键词后,首先利用图像周围的文字信息从网页中过滤一部分与检索主题无关的图像.然后利用图像的视觉特征在之前的基础上筛选出与检索词具有高度相关性的图像.最后利用数据审计技术对筛选出的图像进行进一步精化,并利用精化后的图像对图像库进行检索.实验结果表明,借助数据审计技术,该方法可有效提高对无标注图像库进行基于关键词的检索性能.

References

[1]  Smeulders A W M, Worring M, Santini S, et al. Content-Based Image Retrieval at the End of the Early Years. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(12): 1349-1380
[2]  Hoi C H, Lyu M R. Web Image Learning for Searching Semantic Concepts in Image Databases // Proc of the 13th International World Wide Web Conference on Alternate Track Papers and Posters. New York, USA, 2004: 406-407
[3]  Yanai K.Generic Image Classification Using Visual Knowledge on the Web // Proc of the 11th ACM International Conference on Multimedia. Berkeley, USA, 2003: 167-176
[4]  Barandela R, Gasca E. Decontamination of Training Samples for Supervised Pattern Recognition Methods // Proc of the Joint IAPR International Workshops on Advances in Pattern Recognition. Alicante, Spain, 2000: 621-630
[5]  Jiang Yuan, Zhou Zhihua. Editing Training Data for kNN Classifiers with Neural Network Ensemble // Proc of the 1st International Symposium on Neural Networks. Dalian, China, 2004: 356-361
[6]  Li Ming, Zhou Zhihua. SETRED: Self-Training with Editing // Proc of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Hanoi, Vietnam, 2005: 611-621
[7]  Zhou Zhihua, Dai Hongbin. Exploiting Image Contents in Web Search // Proc of the 20th International Joint Conferences on Artificial Intelligence. Hyderabad, India, 2007: 2928-2933

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