文章基本信息

标题：Web Image Classification Using Sift and SVM
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作者：Minu R.I ; N. Sakthi Priya
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：4
DOI：10.15680/ijircce.2015.0304212
出版社：S&S Publications
摘要：Auto matic harvesting of web images is a multimodal approach employing both text, metadata, and visual features are used to gather many high-quality images from the Web. Candidate images are obtained by a text- based Web search querying on the object identifier (e.g., the word penguin). The Web pages and the images are downloaded and the task is to remove irrelevant images and re-rank the remainder. First, the images are re-ranked based on the text surrounding the image. Second, the top -ranked images are used as (noisy) training data and an SVM visual classifier is learned to improve the ranking further. The principal novelty of the overall method is in combining text/metadata and visual features in order to achieve a completely automatic ranking of the images.
关键词：SVM;Image Retieval; RE-ranking; automatic ranking