Content-based image retrieval (CBIR) is a technology that allows users to search for digital images based on their visual content, such as colors, shapes, textures, and other visual features. The origins of CBIR can be traced back to the 1970s and 1980s when researchers began exploring ways to automatically analyze and retrieve images based on their visual properties. One of the earliest pioneers of CBIR was “J. C. R. Licklider”, is credited with proposing the idea of a "man-computer symbiosis" in which humans and computers would work together to solve problems, including the retrieval of visual information. Content-based image retrieval (CBIR) is used by a variety of individuals and industries, including: • Photographers and artists: CBIR can help photographers and artists to search for and find images that match certain criteria, such as color, composition, and style. • Advertising agencies: CBIR can assist advertising agencies in finding images that are relevant to their campaigns and target audiences. • E-commerce companies: CBIR can help e-commerce companies to recommend products to customers based on their search queries and previous purchases. • Medical professionals: CBIR can aid medical professionals in analyzing medical images and identifying patterns or abnormalities. • Law enforcement: CBIR can assist law enforcement agencies in identifying suspects by comparing images from security cameras, social media, or other sources. • Archivists and historians: CBIR can help archivists and historians to organize and retrieve historical images and documents. • Social media companies: CBIR can aid social media companies in automatically detecting and removing inappropriate or harmful content, such as hate speech or graphic violence. If you are still not clear about CBIR, need more clarification? Then just reach “Takeoff Edu Group”, will guide you in all your Project Work with Project Assistance. Overall, CBIR can be a powerful tool for a range of applications where image search and analysis are required. However, it's important to note that the effectiveness of CBIR can depend on factors such as the quality of the image database, the features used for retrieval, and the search algorithms employed. Visit: https://takeoffprojects.com/content-based-image-retrieval #CBIR #contentbasedimageretrieval #imageretrieval #imageprocessing #finalyearprojects #btechprojects #mtechprojects