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Privacy Based Digital Image Retrieval by Using Visual and Textual Features

John paul



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Abstract— As the number of internet users are increasing day by day. So amount of data also increases, so fast response is desired by different users. So most of the researchers are working in relevant information retrival. This work focus on image retrieval based on visual and textual features. Here searching is done on the basis of the textual content first then visual feature values obtain from the query image are compare with the dataset filtered image similar visual feature values is consider as relevant and the most similar images is ranked first then next as second, other are done in similar fashion. Results shows that combination of both type of feature give more effective results as compare to single one. Algorithm for Re-Ranking by color and CCM Feature: Colure feature: By storing the pixel value in an image is nothing accept an representation of the color intensity at that point in an image. Because of the various image format pixel values are different for the same image. This can be understand as in RGB three matrix of same image are prepare for Red, Green, Blue matrix range of any pixel value is between 0-1. While in the case of the gray format it is of single matrix range of any pixel value is between 0-255.

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Software Requirement :   MATLAB 2012 and Above

Hardware Requirement :   RAM: 2GB, Processor 2.2Ghz

Application :   Web image re-ranking has been widely used to reduce the user searching time on the internet; its success mainly depend on the accuracy of image features similarities. This paper present utilizing of the new text as well as visual features for ranking the image as both make the re-ranking process more powerful, which is shown in results. In future in order to improve the efficiency more features of images will be include. As to reduce the server time of making graph and re-ranking one filter need to be inserted into this so that it will filter relevant and irrelevent images at the initial stage.

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