• Mrs.A.Selvarani
• P.Prejol Hulda Sheena
• S.Preethimaliya

Traditional methods of image retrieval require that meta-data is associated with the image, commonly known as keywords. These methods power many World Wide Web search engines and accomplish reasonable amounts of search accuracy. Though some content based image retrieval (CBIR) systems use both semantic and primitive attributes to match search criteria, history has proven that it is difficult to extract linguistic information from a 2D image. In this research, a novel attempt of searching the video database is proposed. Searching video based on content is practically a heavy resource consuming task since there may of 1000’s of image frames inside the video will be present, searching each and every frame for exact matching is an practical impossible task, to address this issue this work proposes a motion estimated video frame extraction mechanism to detect the change in the scenes and storing a sample frame for that scene, thus reducing the total number of searchable frames.

Video Database, Video Frame Extraction, 2D Image, Front End GUI, Meta Data

"Content Based Video Retrieval: The advancement Of Content Based Image Retrieval", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.165-169, May-2019, Available :http://www.jetir.org/papers/JETIRBM06026.pdf

"Content Based Video Retrieval: The advancement Of Content Based Image Retrieval", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp165-169, May-2019, Available at : http://www.jetir.org/papers/JETIRBM06026.pdf