Content-Based Retrieval

Content-Based Retrieval is a method used by computers to find similar items, such as images, videos, or music, based on their actual content rather than labels or descriptions. It analyzes features like color, texture, shape, or sound patterns to identify and retrieve items that are visually or acoustically similar. For example, in an image search, it can find pictures with similar colors or objects without needing keywords. This approach helps efficiently locate relevant content by focusing on the intrinsic qualities of the data, making search more precise and automatic.