Time flow is the distinctive structure of various kinds of data, such as multimedia movie, electrocardiogram, and stock price quote. To make good use of these data, locating desired instant or interval along the time is indispensable. In addition to domain specific methods like automatic TV program segmentation, there should be a common means to search these data according to the changes along the time flow.
In this chapter, I-string and I-regular expression framework is presented together with some examples and a matching algorithm. I-string is a symbolic stringlike annotation model for continuous media which has a virtual continuous branchless time flow. I-regular expression is a pattern language over I-string, which is an extension of conventional regular expression for text search. Although continuous media are often treated as a sequence of time-sliced data in practice, the framework adopts continuous time flow. This abstraction allows the annotation and search query be independent from low-level implementation such as frame rate.
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Nakayama, K. et al. (2008). A Time Interval String Model for Annotating and Searching Linear Continuous Media. In: Hassanien, AE., Abraham, A., Kacprzyk, J. (eds) Computational Intelligence in Multimedia Processing: Recent Advances. Studies in Computational Intelligence, vol 96. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76827-2_6
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