Human behavior for memorizing things are based on pattern. To determine patterns various attributes, entities or features are considered. If there is completely new object is there, human tries to associate things with existing similar object or tries to remember it as it is. Same techniques are adapted in development of image recognition. There are different approaches by which meaning of image can be determined like Content Based Image Retrieval (CBIR), Optical Character Recognition (OCR) for textual information, Query by Visual Example (QBVE). These techniques are developed over the year, there is need of associating all these techniques and build a holistic approach which can maximally extract information and build the context which will improve results for given query. In this paper, detailed survey of Image content retrieval is given with proposed model which will help to build context.
Volume 11 | 01-Special Issue
Pages: 1656-1666