Image Ranking and Retrieving Analysis Using Machine Learning Approach

The image retrieval system is used for browsing, searching and retrieving images from a large database of digital images. In retrieval, complexity of selecting a query object in single image query is high. The process of image search includes searching of images based on user given keywords. Most of the image retrieval techniques are based on text based image retrievals. But it has certain problems like images are time duplicated, low precision, and irrelevant. The purpose of this survey however, is to provide an overview of the functionality of temporary image retrieval systems in terms of technical aspects: querying, relevance feedback, features, matching measures, indexing data structures, and result presentation. We have reviewed two different techniques text based retrieval and rank using user clicks.

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