Searching musical audio datasets by a batch of multi-variant tracks
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
IEICE - Transactions on Information and Systems
Tuning the Feature Space for Content-Based Music Retrieval
Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium
Local summarization and multi-level LSH for retrieving multi-variant audio tracks
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Adaptive content-based music retrieval system
Multimedia Tools and Applications
Combining multi-probe histogram and order-statistics based LSH for scalable audio content retrieval
Proceedings of the international conference on Multimedia
Similarity searching techniques in content-based audio retrieval via hashing
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Music Genre Classification Using Spectral Analysis and Sparse Representation of the Signals
Journal of Signal Processing Systems
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This paper presents an algorithm that efficiently retrieves audio data similar to an audio query. The proposed method utilises a feature extraction method for acoustical music sequences. The extracted features are grouped by Minimum Bounding Rectangles (MBRs) and indexed by means of a spatial access method. We also present a novel false alarm resolution method that utilises a reverse order schema while calculating the distance of the query and results, in order to avoid costly operations. Performance evaluation results show that the proposed technique achieves considerable performance improvement in comparison to an existing method.