The large and growing amount of digital data, and the development of the Internet highlight the need to develop sophisticated access methods that provide more than just simple text-based queries. Many programs have been developed with complex mathematics algorithms to allow the transformation of image or audio data in a way that enchances searching accuracy. However it becomes difficult when dealing with large sets of multimedia data. This paper proposes and demonstrates a Content Based Multimedia Retrieval System (CBMRS). The proposed CBMRS includes both video and audio retrieval systems. The Content Based Video Retrieval System (CBVRS) based on DCT and clustering algorithms. The audio retrieval system based on Mel-Frequency Cepstral Coefficients (MFCCs), the Dynamic Time Warping (DTW) algorithm and the Nearest Neighbor (NN) rule.