Abstract—The traditional image retrieval approach allows users to create, share and comment media on a large scale. The large scale data not only promote users in sharing and organizing multimedia data, but provide useful information to develop multimedia retrieval in terms of text, images and all other forms. Numerous studies have been developed to effectively meet the user’s requirements for the past few decades. There are various ranking methods developed to deal with the image and text retrieval systems. A user’s request is taken to generate a rank list based on various features of text and images, including, content, texture, shape and color. The central contention is handled by a semantic search and by providing re-ranking procedure. In this survey, various approaches for retrieving text and images using various retrieval systems, semantic search and ranking based techniques are discussed. 

Cite: Anna Saro Vijendran and C. Deepa, "A Survey on Various Optimization Techniques to Retrieve Text and Images," Journal of Emerging Technologies in Web Intelligence, Vol. 6, No. 2, pp. 169-173, May 2014. doi:10.4304/jetwi.6.2.169-173