文章基本信息

标题：Evaluation of Object Based Video Retrieval using SIFT
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作者：Shradha Gupta ; Neetesh Gupta ; Shiv Kumar 等
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2011
卷号：1
期号：2
页码：1-6
出版社：International Journal of Soft Computing & Engineering
摘要：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. The local invariant features are obtained for all frames in a sequence and tracked throughout the shot to extract stable features. 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 Nearest Neighbor Search (NNS). In this paper we have evaluated the proposed video retrieval system. The proposed method is better than previous video retrieval methods because it is invariant to illumination changes
关键词：Video retrieval; segmentation; SIFT;Nearest-neighbor search.