Abstract: The performance of content-based image retrieval （CBIR） systems is largely limited by the gap between the low-level feature and high-level semantic concept. A new content-based color image retrieval method using multi-semantics was proposed, which not onl

Key words: Image retrieval, High-level semantic, Support vector regression, Human visual system