• UJWAL R.HARODE
• Dr.S.A.PATIL

Abstract— in the field of Image Processing Content extraction is one of the most important step. Identification means the preparation and delivery of content that matches with the available resources in an optimal way. The content extraction method can be classified as perceptual because it detects the prominent regions in images. In many applications image retrieval is mostly used to find or to get the image for particular purpose. To retrieve the more similar content from the large image dataset numbers of techniques are available. The main motivation for extracting the content of image is the approachability problem. A problem that is even more relevant for dynamic multimedia data, which also have to be access. While content extraction for retrieval techniques is developed for text, there is a long way to go in extracting features and the implementation of more suitable and effective processing model not only for images but for videos also. Description of the content of multimedia information is required for classification purpose. In this paper we try to explore the growth of content extraction techniques and different descriptors used in image retrieval field.

Image Processing, Content Extraction, Feature Extraction, Image Descriptors, Image Retrieval, similarity measures, performance measure metrics

"Feature Extraction Techniques and Descriptors used in Image Retrieval System- A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.827-834, June-2019, Available :http://www.jetir.org/papers/JETIR1907T92.pdf

"Feature Extraction Techniques and Descriptors used in Image Retrieval System- A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp827-834, June-2019, Available at : http://www.jetir.org/papers/JETIR1907T92.pdf