Content-based image retrieval (CBIR) examines the potential of utilizing visual features to find images from a database. Traditionally, CBIR systems depend on handcrafted feature extraction techniques, which can be laborious. UCFS, a novel framework, targets mitigate this challenge by proposing a unified approach for content-based image retrieval.