Content-based image retrieval (CBIR) is the application of computer vision techniques to the
image retrieval problem, that is, the problem of searching for digital images in large …

The importance of an effective technique in searching and retrieving images from the huge
collection cannot be overemphasized. One approach for indexing and retrieving image data …

Content-based image retrieval (CBIR) is a method of finding images from a huge image
database according to persons' interests. Content-based here means that the search …

There is large amount of digital data floating all over the world today. If we want to search a
particular image or file, we get a lot of results. CBIR are the systems which search an image …

With the popularity of the network and development of multimedia technology, the traditional
information retrieval techniques do not meet the users' demand. Recently, the content-based …

Content Based Image Retrieval (CBIR) is an application of computer vision to the problem of
image retrieval. The term “Content” might refer to the features such as color, texture, shape …

Invention of digital technology has lead to increase in the number of images that can be
stored in digital format. So searching and retrieving images in large image databases has …

Image retrieval from databases or from the Internet needs an efficient and effective
technique due to the explosive growth of digital images. Image retrieval is considered as an …

In current era there is a huge demand for computer vision and pattern recognition in the field
of image processing. Basic visual techniques like color, shape, texture wasused in Content …

Content based image retrieval is the task of retrieve the images from the large collection of
database on the basis of their own visual content. This paper provides the survey of …