Information retrieval
Information retrieval
Query by humming: musical information retrieval in an audio database
Proceedings of the third ACM international conference on Multimedia
Self-indexing inverted files for fast text retrieval
ACM Transactions on Information Systems (TOIS)
Inverted files versus signature files for text indexing
ACM Transactions on Database Systems (TODS)
Optimal aggregation algorithms for middleware
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Super MBox: an efficient/effective content-based music retrieval system
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
ACM Computing Surveys (CSUR)
Music ranking techniques evaluated
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Efficient acoustic index for music retrieval with various degrees of similarity
Proceedings of the tenth ACM international conference on Multimedia
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Indexing the Distance: An Efficient Method to KNN Processing
Proceedings of the 27th International Conference on Very Large Data Bases
Efficient Theme and Non-Trivial Repeating Pattern Discovering in Music Databases
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A comparative study on content-based music genre classification
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Warping indexes with envelope transforms for query by humming
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Approximate matching algorithms for music information retrieval using vocal input
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Efficient K-NN search in polyphonic music databases using a lower bounding mechanism
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Searching notated polyphonic music using transportation distances
Proceedings of the 12th annual ACM international conference on Multimedia
K-BOX: a query-by-singing based music retrieval system
Proceedings of the 12th annual ACM international conference on Multimedia
Learning query-class dependent weights in automatic video retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Integrating heterogeneous reatures for efficient content based music retrieval
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Song search and retrieval by tapping
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Compacting music signatures for efficient music retrieval
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Using provenance to extract semantic file attributes
TAPP'10 Proceedings of the 2nd conference on Theory and practice of provenance
Hi-index | 0.00 |
With continued growth of music content available on the Internet, music information retrieval has attracted increasing attention. An important challenge for music searching is its ability to support both keyword and content based queries efficiently and with high precision. In this paper, we present a music query system - QueST (Query by acouStic and Textual features) to support both keyword and content based retrieval in large music databases. QueST has two distinct features. First, it provides new index schemes that can efficiently handle various queries within a uniform architecture. Concretely, we propose a hybrid structure consisting of Inverted file and Signature file to support keyword search. For content based query, we introduce the notion of similarity to capture various music semantics like melody and genre. We extract acoustic features from a music object, and map it to multiple high-dimension spaces with respect to the similarity notion using PCA and RBF neural network. Second, we design a result fusion scheme, called the Quick Threshold Algorithm, to speed up the processing of complex queries involving both textual and multiple acoustic features. Our experimental results show that QueST offers higher accuracy and efficiency compared to existing algorithms.