An Overview of Content-Based Image Retrieval Methods and Techniques

With the development of Internet technology and popularity digital devices, Content-Based Image Retrieval (CBIR) has been quickly developed applied in various fields related to computer vision artificial intelligence. Currently, it is possible retrieve images effectively efficiently from a large-scale database with an input image. In past ten years, great efforts have made for new theories models CBIR, many effective CBIR algorithms established. Content-based image retrieval helps discover identical big dataset that match query The image's representative feature similarities typically assist ranking retrieval. There are studies on different handicraft descriptors according visual features describe images: color, texture, shape. However, deep learning dominant alternative manually planned engineering; automatically takes data. current work reviews recent advancements content-based For deeper understanding advancement, explanation state-of-the-art approaches vantage points also conducted. This review employs taxonomy encompassing networks, classification types, this study will help researchers make more progress