• Varsharani Babar
• Shivanee Bhor
• Krupa Kamble
• Arathi Kamble

Digital video now plays an important role in security. Several content-based video retrieval (CBVR) systems have been proposed in the past, but they still suffer from the following challenging problems: (a) Semantic gap; (b) Semantic video concept modeling; (c) Semantic video classification; (d) Concept-oriented video database indexing and access. In this project, we propose a novel framework to make some advances towards the final goal to solve these problems. The amount of information must be followed by the development of the effective Information Retrieval System (IRS) so that the information will be easily accessible and useful for the user. This study reviews the evolution of IRS, regress from image-based to concept-based. Concept-based video retrieval has been considered as a feasible alternative technique for video search. In order to retrieve a desirable video shot, a query should be defined based on user’s needs so that the user gets only relevant output. This paper describes an application where user gives an image & a video as an input. The video is divided into unique key frames and the frames containing the object in the image will be extracted and the output will be the video of the extracted frames. Therefore the user won’t have to watch the complete video, and can just watch the frames containing the object of interest. Here we are using CBVR, SURF, SHIFT, XUGGLE techniques and the front end is JAVA and back end is MYSQL respectively. The programming language which is used in this project is JAVA.

Concept Retrieval, Search Video, CBVR (Content based video retrieval), Feature extraction, Indexing Framework.

"Concept Based Video Retrieval", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.203-205, June 2019, Available :http://www.jetir.org/papers/JETIR1907029.pdf

"Concept Based Video Retrieval", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp203-205, June 2019, Available at : http://www.jetir.org/papers/JETIR1907029.pdf