A relevance feedback image retrieval scheme using multi-instance and pseudo image concepts

Feng Cheng Chang*, Hsueh-Ming Hang

*此作品的通信作者

    研究成果: Conference article同行評審

    1 引文 斯高帕斯(Scopus)

    摘要

    Content-based image search has long been considered a difficult task. Making correct conjectures on the user intention (perception) based on the query images is a critical step in the content-based search. One key concept in this paper is how we find the user preferred image characteristics from the multiple positive samples provided by the user. The second key concept is that when the user does not provide a sufficient number of samples, how we generate a set of consistent "pseudo images". The notion of image feature stability is thus introduced. The third key concept is how we use negative images as pruning criterion. In realizing the preceding concepts, an image search scheme is developed using the weighted low-level image features. At the end, quantitative simulation results are used to show the effectiveness of these concepts.

    原文English
    文章編號23
    頁(從 - 到)224-235
    頁數12
    期刊Proceedings of SPIE - The International Society for Optical Engineering
    5682
    DOIs
    出版狀態Published - 21 7月 2005
    事件Proceedings of SPIE-IS and T Electronic Imaging - Storage and Retrieval Methods for Multimedia 2005 - San Jose, CA, United States
    持續時間: 18 1月 200519 1月 2005

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