Abstract
AbstractThe authors propose a method called the Rutic method for detecting time‐series intervals similar to a sequentially entered time‐series query in a large‐scale time‐series database containing data such as video or audio data. Although conventional methods such as RIFCDP or IPM handled sequentially entered time‐series queries, they required a relatively large amount of calculations and were unsuitable for real‐time retrieval from a large database. The proposed method enables retrieval results for the sequentially entered time‐series query to be output for each entered frame. Since the Rutic method requires few calculations, it enables spotting retrieval to be implemented in real time. This paper describes the algorithm of the Rutic method and verifies its effectiveness by performing experiments using video retrieval to compare it with other methods. © 2004 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 87(4): 65–76, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.20072
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