Content-based audio retrieval with relevance feedback

Authors:
Chunru Wan;Mingchun Liu
Affiliations:
School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore
Venue:
Pattern Recognition Letters
Year:
2006

Citing 8
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SoundsLike: movies soundtrack browsing and labeling based on relevance feedback and gamification

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Abstract

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.