Abstract
Rapid increase in the amount of the digital audio collections demands a generic framework for robust and efficient indexing and retrieval based on the aural content. In this paper we focus our efforts on developing a generic and robust audio-based multimedia indexing and retrieval framework. First an overview for the audio indexing and retrieval schemes with the major limitations and drawbacks are presented. Then the basic innovative properties of the proposed method are justified accordingly. Finally the experimental results and conclusive remarks about the proposed scheme are reported.
An Erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-540-74628-7_85
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Dmitry, M., Bovbel, E. (2007). Indexing and Retrieval Scheme for Content-Based Multimedia Applications. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2007. Lecture Notes in Computer Science(), vol 4629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74628-7_23
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DOI: https://doi.org/10.1007/978-3-540-74628-7_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74627-0
Online ISBN: 978-3-540-74628-7
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