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