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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95791


    Title: Building Semantic Indexing for Image Retrieval Systems
    Authors: Kuo, Chin-Hwa;Huang, Yu-Tao;Lan, Yung-Hsiao;Chou, Tzu-Chuan
    Contributors: 淡江大學資訊工程學系
    Keywords: Semantic image indexing;Image retrieval system;Polysemy;Word sense disambiguation;And wordnet
    Date: 2004-12
    Issue Date: 2014-02-13
    Abstract: 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.
    Relation: Proceedings of Taipei and the International Computer Symposium 2004,6頁
    Appears in Collections:[資訊工程學系暨研究所] 會議論文

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