淡江大學機構典藏:Item 987654321/95791
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    题名: Building Semantic Indexing for Image Retrieval Systems
    作者: Kuo, Chin-Hwa;Huang, Yu-Tao;Lan, Yung-Hsiao;Chou, Tzu-Chuan
    贡献者: 淡江大學資訊工程學系
    关键词: Semantic image indexing;Image retrieval system;Polysemy;Word sense disambiguation;And wordnet
    日期: 2004-12
    上传时间: 2014-02-13
    摘要: In this paper, we discuss the semiautomatic annotation that can build the semantic index for image retrieval systems. Every image will be annotated at annotators' private and partial wording, and then we use WordNet to add extra relative keywords to increase the searched probability of each image. Unfortunately, blind expansion will make the index of images unreasonable and unwise due to the common polysemous-characteristic of English words. Therefore, we use a modified Word Sense Disambiguation technique for the image annotation to identify the sense of every annotative keyword. After examining the results, we concluded that with the proposed mechanism, the precise rate of the image retrieval system has a dramatic improvement.
    關聯: Proceedings of Taipei and the International Computer Symposium 2004，6頁
    显示于类别:[資訊工程學系暨研究所] 會議論文

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