Content-based image retrieval, also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).

This repository contains a CBIR (content-based image retrieval) system. Extract query image's feature, and retrieve similar ones from image database

These image search engines look at the content (pixels) of images in order to return results that match a particular query. Smart image searcher with content-based clustering in a visual network. CBIR search engine, by Imense. CBIR search engine, by Imprezzeo. Product comparison & shopping using CBIR for product images. Previously known as Pixsta.

2025年3月26日 · Content-Based Image Retrieval (CBIR) is a way of retrieving images from a database. In CBIR, a user specifies a query image and gets the images in the database similar to the query image. To find the most similar images, CBIR compares the content of the input image to the database images.

2023年12月13日 · Content-based image retrieval (CBIR) systems have emerged as crucial tools in the field of computer vision, allowing for image search based on visual content rather than relying solely on metadata.

Content-Based Image Retrieval is a well studied problem in computer vision, with retrieval problems generally divided into two groups: category-level retrieval and instance-level retrieval.

2021年9月10日 · In this paper, we present a survey on the fast developments and applications of CBIR theories and algorithms during the period from 2009 to 2019. We mainly review the technological developments from the viewpoint of image representation and database search.

Content-based image retrieval (CBIR) is a solution to retrieve relevant images from a pool of images by considering a query image. In a CBIR scheme, the user will give a query image and the system supposes to return a set of the image which are very similar to the query image.

2022年4月16日 · This paper gives an overview of various CBIR (Content-Based Image Retrieval) Techniques. CBIR is a system that utilizes different image features, like texture, color, and shape information, to fetch different images from a huge database.

Content-based image retrieval (CBIR) techniques could be valuable to radiologists in assessing medical images by identifying similar images in large archives that could assist with decision support.