Content Based Image Retrieval
Content-based image retrieval (CBIR) involves searching digital images in large databases. CBIR generally works by Querying which means by using an example image or a part of an image. The various criteria used for searching for similar images include color, texture, shape etc. By determining the same in the provided image and searching for similar features in the database of images using similarity measures, it is possible to return images with similar content. We have experience and capability to implement algorithms across various scenarios of CBIR.