Paper Details

Multimedia information systems are increasingly important with the advent of broadband networks, high-poweredwork stations, and compression standards. Since visual media requires large amounts of storage and processing, there is aneed to efficiently index, store, and retrieve the visual information from multimedia database. Content based video retrievalis a proper solution to handle the video data. But because of their huge volumes and high dimensionality, finding a properway to organize them for efficient search and retrieval becomes a challenging and important task. Proposed work is toretrieve video from the database by giving query as an object. Video is firstly converted into frames, these frames are thensegmented and an object is separated from the image. Then features are extracted from object image by using SIFTalgorithm. Features of the video database obtained by the segmentation and feature extraction using SIFT algorithm arematched by Nearest Neighbor Search (NNS). Experimental Results confirm the effectiveness and robustness of the algorithm.

B.Ramu, Jugal Kishore Bhandari, “A SURVEY OF OBJECT VIDEO RETRIEVAL SYSTEMS USING SCALE-INVARIANT FEATURE TRANSFORM (SIFT)”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 3, pp. 1211-1216, March 2018.