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Content-based audio retrieval with relevance feedback
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DOI：10.1016/j.patrec.2005.07.005.png)
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In this paper, we have proposed two relevance feedback algorithms for content-based audio retrieval. One is a modified version of a technique used for image retrieval with positive feedback; another is based on a constrained optimization concept. Experiments show that the latter approach can yield similar performance improvement to the former and it has the advantage of utilizing both negative and positive feedback in a unified approach. (c) 2005 Elsevier B.V. All rights reserved.
Keyword:
content-based audio retrieval
query-by-example
relevance feedback
feature extraction
期刊
IF:
3.3
论文数:
8.0K
被引数:
1.6W
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