• Dr. Yogesh Kumar Sharma
• Miss Reetu

Ordinary database frameworks are intended for overseeing printed and numerical information, and recovering such information is regularly founded on basic correlations of content/numerical qualities. In any case, this basic strategy for recovery is never again sufficient for the sight and sound information, since the digitized portrayal of pictures, video, or information itself does not pass on the truth of these media things. Furthermore, composite information comprising of heterogeneous sorts of information additionally connects with the semantic substance gained by a client's acknowledgment. In this manner, content-based recovery for mixed media information is acknowledged considering such inherent highlights of sight and sound information. Execution of the substance based recovery office did not depend on a solitary crucial, however is firmly identified with a fundamental information display, from the earlier learning of the region of premium, and the plan for speaking to inquiries. This paper studies ongoing investigations on substance based recovery for sight and sound databases from the perspective of three central issues. All through the dialog, we expect databases that oversee just nontextual/numerical information, for example, picture or video, are additionally in the classification of sight and sound databases.

Multimedia databases, content-based retrieval, spatio-temporal relation, query-by-example, knowledge

"A Survey on Content Based Video Retrieval System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.9-17, June 2019, Available :http://www.jetir.org/papers/JETIR1906N60.pdf

"A Survey on Content Based Video Retrieval System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp9-17, June 2019, Available at : http://www.jetir.org/papers/JETIR1906N60.pdf