文章基本信息

标题：Partial Feature Based Ensemble of Support Vector Machine for Content based Image Retrieval
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作者：KIRTI JAIN ; DR. SARITA SINGH ; DR. GULAB SINGH 等
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：2013
卷号：1
期号：3
出版社：S&S Publications
摘要：Ensemble of classifier provides a great versatility of classifier for pattern recognition and classification.The pattern recognition and classification is a new age direction for content based image retrieval. The content basedimage retrieval depends on lower content feature of image. The lower content of feature extraction of image is colourtexture and geometrical dimension of image. The geometrical dimension of image gives the shape structure of image.The partial feature ensemble is process of merging a classifier value according to matched feature of query image andstored image in database. The “ensembling feature” of classifier depends on extraction process of feature of image. Thepartial feature extraction is basically based on outside boundary value of image. The movement of image variesaccording to its rotation or length and breadth. The value of rotation of image feature extraction plays a role ofensemble point of classifier for image retrieval. For the classification of feature support vector machine classifier hasbeen used.
关键词：Content Based Image Retrieval; feature extraction; Ensemble; Support Vector Machine