Abstract
The phenomenal increases in the amounts of audio data being generated, processed and used in several computer applications have necessitated the development of audio database systems with newer features, such as content-based queries and similarity searches, to manage and use such data. Fast and accurate retrieval for content-based queries is crucial in order for such systems to be useful. Efficient content-based indexing and similarity searching schemes are keys to providing fast and relevant data retrieval. This paper studies and evaluates the different parameters involved in an indexing scheme which uses transforms (as used in signal processing) for generating the audio data indexes which are to be used in searching and retrieval. A comparison of the performance of the indexing scheme with different parameters is presented.
Recommended Citation
S. R. Subramanya et al., "Use of Transforms for Indexing in Audio Databases," Proceedings - 3rd International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 1999, pp. 278 - 284, article no. 798543, Institute of Electrical and Electronics Engineers, Jan 1999.
The definitive version is available at https://doi.org/10.1109/ICCIMA.1999.798543
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-076950300-4
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 1999
