In order to improve the retrieval accuracy of content-based image retrieval systems, research focus has been shifted from designing sophisticated low-level feature extraction algorithms to reducing the ‘semantic gap’ between the visual features and the richness of human semantics. This paper attempts to provide a comprehensive survey of the recent technical achievements in high-level semantic-base
![A survey of content-based image retrieval with high-level semantics](https://cdn-ak-scissors.b.st-hatena.com/image/square/d1962b214a0f63460991d1c090167d954326a191/height=288;version=1;width=512/https%3A%2F%2Fars.els-cdn.com%2Fcontent%2Fimage%2F1-s2.0-S0031320306X03187-cov150h.gif)