SURVEY OF CONTINUOUS IMAGE SEQUENCE RETRIEVAL TECHNIQUESJournal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 2)
Publication Date: 2020-02-28
Authors : M. Kavitha; S. Kanagalakshmi;
Page : 131-136
Keywords : CISR; k-nearest; color histogram; SVM; GHT;
Content based image retrieval is used to retrieve the data particularly images from a wide collection of databases. The retrieval is done by using features. Whereas Continuous Image Sequence Retrieval (CISR) is used to organize the wide sequence of images by their visual features. This paper presents a survey on efficient Image sequence retrieval techniques. In modern days with the development of social networking mediums, so many digital images are uploaded day by day. In order to access this huge data collection new techniques are very essential. Continuous Image Sequence Retrieval is such a technique which uses features for searching a particular image from a database. It represents visual features like edges, spatial information, texture, shape. The features get classified into low level features such as shape, color and texture and high-level features such as human perception. Here, in this paper the content-based image retrieval techniques are compared and discussed.
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Last modified: 2020-03-03 21:52:14