• Geeta Guwalani
• Dr.S.Veenadhari

From the last decade, the analysis of the facial expression automatically is now considered to be the most active area of research which has the potential applications in areas as-engaging human-interfaces, retrieval of images as well as emotions of human. So, accordingly human expressions are very important in reflecting the emotions but also the mental activities of the human being, social interactions as well as some physiological signals. This survey introduces the most prominent automatic facial expression analysis methods as well as systems are presented in the literature itself. In this proposed approach, we achieve immediate retrieval in a largescale dataset by improving the face retrieval in the offline and online stages. The survey paper also focuses onto explaining previous techniques along with their working, and how the proposed work is relevant to the futuristic purpose.

Face Image Retrieval, Human Attributes, Content Based Image Retrieval.

"A Survey on: Automatic Facial Image Expression Retrieval using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.37-46, June 2019, Available :http://www.jetir.org/papers/JETIR1908B07.pdf

"A Survey on: Automatic Facial Image Expression Retrieval using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp37-46, June 2019, Available at : http://www.jetir.org/papers/JETIR1908B07.pdf