文章基本信息

标题：Group-Based Image Retrieval Method for Video Image Annotation
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作者：Noboru Murabayashi ; Setsuya Kurahashi ; Kenichi Yoshida 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2009
卷号：24
期号：2
页码：203-213
DOI：10.1527/tjsai.24.203
出版社：The Japanese Society for Artificial Intelligence
摘要：This paper proposes a group-based image retrieval method for video image annotation systems. Although the wide spread use of video camera recorders has increased the demand for an automated annotation system for personal videos, conventional image retrieval methods cannot achieve enough accuracy to be used as an annotation engine. Recording conditions, such as change of the brightness by weather condition, shadow by the surroundings, and etc, affect the qualities of images recorded by the personal video camera recorders. The degraded image of personal video makes the retrieval task difficult. Furthermore, it is difficult to discriminate similar images without any auxiliary information. To cope with these difficulties, this paper proposes a group-based image retrieval method. Its characteristics are 1) the use of image similarity based on the wavelet transformation based features and the scale invariant feature transform based features, and 2) the pre-grouping of related images and screening using group information. Experimental results show that the proposed method can improve image retrieval accuracy to 90% up from the conventional method of 40%.
关键词：video ; annotation ; image retrieval ; wavelet ; SIFT