Image Classification Using Hybrid Neural Networks

Chih Fong Tsai, Ken McGarry, John Tait

研究成果: 雜誌貢獻會議論文同行評審

29 引文 斯高帕斯(Scopus)


Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on the combination of image processing techniques and hybrid neural networks. Multiple keywords are assigned to an image to represent its main contents, i.e. semantic content. Images are divided into a number of regions and colour and texture features are extracted. The first classifier, a self-organising map (SOM) clusters similar images based on the extracted features. Then, regions of the representative images of these clusters were labeled and used to train the second classifier, composed of several support vector machines (SVMs). Initial experiments on the accuracy of keyword assignment for a small vocabulary are reported.

頁(從 - 到)431-432
期刊SIGIR Forum (ACM Special Interest Group on Information Retrieval)
出版狀態已出版 - 2003
事件Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada
持續時間: 28 7月 20031 8月 2003


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