Abstract
A new feature extraction algorithm is proposed for content based image retrieval. The new features can capture both local and global information at high speed. Thus, it is suitable for large-scale image retrieval. We demonstrate both texture image retrieval and real-world scene retrieval. Our results show that the cepstral based texture features provide an efficient and effective tool for content-based image retrieval.