Approximate nearest neighbors: towards removing the curse of dimensionality
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Hierarchical filtering method for content-based music retrieval via acoustic input
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Efficient acoustic index for music retrieval with various degrees of similarity
Proceedings of the tenth ACM international conference on Multimedia
Audio Indexing for Efficient Music Information Retrieval
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
A content-based music retrieval system using representative melody index from music databases
CMMR'04 Proceedings of the Second international conference on Computer Music Modeling and Retrieval
IEICE - Transactions on Information and Systems
Commercial recognition in TV streams using coarse-to-fine matching strategy
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
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With this work we study suitable indexing techniques to support efficient content-based music retrieval in large acoustic databases. To obtain the index-based retrieval mechanism applicable to audio content, we pay the most attention to the design of Locality Sensitive Hashing (LSH) and the partial sequence comparison, and propose a fast and efficient audio retrieval framework of query-by-content. On the basis of this indexable framework, four different retrieval schemes, LSH-Dynamic Programming (DP), LSH-Sparse DP (SDP), Exact Euclidian LSH (E2LSH)-DP, E2LSH-SDP, are presented and estimated in order to achieve an extensive understanding of retrieval algorithms performance. The experiment results indicate that compared to other three schemes, E2LSH-SDP exhibits best tradeoff in terms of the response time, retrieval ratio, and computation cost.