Visual Keyword Based Image Retrieval
This paper proposes the visual keywords to represent the visual appearance, such as color and texture, of regions in images without precisely image segmentation. Based on the proposed visual keywords, a multi-modal image query and retrieval (MIQR) approach is presented to retrieve desired images from image databases by using textual annotations associated with images and/or the proposed visual keyword. In addition, the Generalized Probabilistic Decision-Based Neural Networks is adopted to model the visual keywords. The experiments were performed on a subset of the COREL image gallery and the images gathered from Internet. A comparison with current leading approaches is made. The experimental results show that the MIQR approach can retrieve relevant images closely associated with users\' query regions or objects, and has the capability of searching and retrieving relevant images from a large collection of images.
Keywords: Content-based image retrieval, Visual keywords, Multi-modal image query and retrieval, Generalized Probabilistic Decision-based Neural Networks, GPDNN
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ABOUT THE AUTHORS
Yeong-Yuh Xu
Yeong-Yuh Xu is an assistant professor in the Department of Computer Science and Information Engineering, Hungkuang University, Taichung, Taiwan. Dr. Xu\'s research interests include pattern recognition, neural networks, and content-based image/video retrieval.
Hsin-Chia Fu
Since 1983, he has been on the faculty of the Department of Computer science and Information engineering at National Chiao-Tung University, in Taiwan, ROC. Now he is in the College of Engineering, Huaqiao University, Quanzhou, China.
Yeong-Yuh Xu
Yeong-Yuh Xu is an assistant professor in the Department of Computer Science and Information Engineering, Hungkuang University, Taichung, Taiwan. Dr. Xu\'s research interests include pattern recognition, neural networks, and content-based image/video retrieval.
Hsin-Chia Fu
Since 1983, he has been on the faculty of the Department of Computer science and Information engineering at National Chiao-Tung University, in Taiwan, ROC. Now he is in the College of Engineering, Huaqiao University, Quanzhou, China.
