A retrieval method called Running Time Interval Clustering (Rutic) is proposed. The method detects time sequence intervals similar to the query time sequence in a vast database of time sequences such as video and audio data. Conventional methods such as RIFCDP handled queries of any interval lengths, but they require a relatively high computational burden and are not suitable for realtime retrieval from a large database. The Rutic method allows retrieval results to be output for each input frame of the time sequence queries, thus enabling retrieval from a database without segmentation. The computational burden of the Rutic method is so small that it enables so-called realtime spotting retrieval. This report describes the algorithm of the Rutic method, and verifies its validity through comparison with other methods based on image search experiments.