Object Based Video Retrieval Using SIFT

Shradha Gupta; Neetesh Gupta; Shiv K Sahu

A method for retrieving video containing a particular object, a single image of the object is given as a query. The local invariant features are obtained for all frames in a sequence and tracked throughout the shot to extract stable features. 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 Nearest Neighbor Search (NNS).

Select Volume / Issues:

• Volume 1 Issue 1, April 2011

Year:

2011

Type of Publication:

Article

Keywords:

Video retrieval; Segmentation; SIFT; Nearest neighbor search

Journal:

IJECCE

Volume:

1

Number:

1

Pages:

1 - 4

Month:

April