文章基本信息

标题：Performance of SIFT based Video Retrieval
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作者：Shradha Gupta ; Prof. Neetesh Gupta ; Dr. Bhupendra Verma 等
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：6
页码：2565-2571
出版社：Engg Journals Publications
摘要：Video has become an important element of multimedia computing and communication environments, with applications as varied as broadcasting, education, publishing and military intelligence. In Video Retrieval system, each video that is stored in the database has its features extracted and compared to the features of the query image. Proposed work is to retrieve video from the database by giving query as an object. Video is firstly converted into frames, these frames are then segmented and an object is separated from the image. Then features are extracted from object image by using SIFT features. Features of the video database obtained by the segmentation and feature extraction using SIFT feature are matched by Mahalanobis Distance. In this paper experiments are done on different samples of images. Result is also calculated after illumination changes in object.
关键词：Video retrieval; segmentation; SIFT; Mahalanobis Distance.