文章基本信息

标题：Image Retrieval Using Bilinear Similarities for Large Datasets
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作者：Ch.Pradeep Kumar ; Dr. Gorti Satyanarayana Murty
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：2
页码：90-92
语种：English
出版社：Ayushmaan Technologies
摘要：It is an image retrieval approach which provides a method of retrieving an image from the large dataset by using an image as query which selects all of its variants which are more relevant to the query image. It makes use of a single bi-linear similarity measure for image retrieval. Content based image retrieval extracts the Images as per their features. Because it is a huge problem to retrieve the required images from the image database very frequently. We the users are always not satisfied with the given technologies they used in present time they always look forward for further improvement in the image retrieval process. The CBIR focuses on image features. It retrieves images from the database which are semantically correct based on the query image.
关键词：Image Retrieval;Bi-linear Similarity Measure;Angular Regularization;K-means Clustering