Abstract— This paper provides an overview of the special to some science or trade good things done in the make observations area of connection take-back (RF) in content-based image acts to get back (CBIR). connection take-back is a powerful way of doing in CBIR systems, in order to get better the doing a play of CBIR effect. It is an open make observations area to the person making observations to get changed to other form the semantic space or time in between low-level features and high level ideas of a quality common to a group. The paper covers the current state of art of the make observations in connection take-back in CBIR, different connection take-back techniques and issues in connection take-back are had a discussion about in detail.

Index Terms— Relevance feedback, Long-term learning, Short-term learning, Image retrieval, Content-based image retrieval, Semantics

Cite: Kommu Naveen, Raghu Kumar Lingamallu and Gopagoni Sandhya, " A RESEARCH AND DESIGN METHOD ON DIFFERENT IMAGE RETRIEVAL TECHNIQUES IN A SIMILARITY MANAGEMENT ALGORITHM FOR IMAGE DATABASE," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 4, No. 1, pp. 60-66, January 2015.