Image retrieval using SURF features and Annotated Data
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Abstract
The ubiquity of image capturing devices has led to creation of large image collections for both personal purposes and commercial
hosting of images on the Web. With this enormous increase in image storage retrieve of efficient image from a large dataset in real time has
become an important task. Traditional methods of database management do not suffice here as they are not able to capture the information
within the contents of an image. This paper proposes a method of image retrieval based on Speeded Up Robust Features (SURF) to detect and
retrieve the most relevant image from an image dataset. Experimental results indicate that Content Based Image Recognition is a better method
than any method that relies solely on annotation.
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Keywords: image retrieval, computer vision, kd-tree, OpenCV, SURF
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