With this work we study suitable indexing techniques to support efficient content-based music retrieval in large acoustic databases.
A pseudo random hash value is obtained. ▫ Hash value is nearly uniformly distributed. ➢LSH: hash function is required to maintain the similarity. For any pair ...
With this work we study suitable indexing techniques to support efficient content-based music retrieval in large acoustic databases.
Abstract. With this work we study suitable indexing techniques to sup- port efficient content-based music retrieval in large acoustic databases.
With this work we study suitable indexing techniques to support efficient content-based music retrieval in large acoustic databases.
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Bibliographic details on Similarity Searching Techniques in Content-Based Audio Retrieval Via Hashing.
In this paper, an unsupervised similarity-preserving hashing method for content-based audio retrieval is proposed.
➢ Facilitate content-based similarity retrieval by indexing audio music documents. For example, a hashing scheme--Locality. Sensitive Hashing. ➢ Load ...
With this work we study suitable indexing techniques to support efficient content-based music retrieval in large acoustic databases.
In this paper, an unsupervised similarity-preserving hashing method for content-based audio retrieval is proposed.
Missing: Techniques Via