Image Based Retrieval System
using Histogram
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The aim of this book is to review the current state of the art in image based retrieval (IBR), a technique for retrieving images on the basis of automatically-derived features such as color. Our findings are based on a review of the relevant literature and on discussions with researchers in the field. The need to find a desired image from a collection is shared by many professional groups, including journalists, design engineers and art historians. While the requirements of image users can vary considerably, it can be useful to characterize image queries into three levels of abstraction: primi...
The aim of this book is to review the current state of the art in image based retrieval (IBR), a technique for retrieving images on the basis of automatically-derived features such as color. Our findings are based on a review of the relevant literature and on discussions with researchers in the field. The need to find a desired image from a collection is shared by many professional groups, including journalists, design engineers and art historians. While the requirements of image users can vary considerably, it can be useful to characterize image queries into three levels of abstraction: primitive features such as color or shape, logical features such as the identity of objects shown and abstract attributes such as the significance of the scenes depicted. While systems currently operate effectively only at the lowest of these levels, most users demand higher levels of retrieval.
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