The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kertas kerja ini menyiasat teknik pengindeksan yang sesuai untuk membolehkan perolehan semula audio berasaskan kandungan yang cekap dalam pangkalan data akustik yang besar. Untuk menjadikan mekanisme perolehan semula berasaskan indeks terpakai pada kandungan audio, kami menyiasat reka bentuk Pencincangan Sensitif Lokaliti (LSH) dan perbandingan jujukan separa. Kami mencadangkan rangka kerja mendapatkan semula audio yang pantas dan cekap bagi pertanyaan mengikut kandungan dan membangunkan sistem mendapatkan semula audio. Berdasarkan rangka kerja ini, empat skema pengambilan audio yang berbeza, LSH-Dynamic Programming (DP), LSH-Sparse DP (SDP), Exact Euclidian LSH (E2LSH)-DP, E2LSH-SDP, diperkenalkan dan dinilai untuk lebih memahami prestasi algoritma pengambilan audio. Keputusan eksperimen menunjukkan bahawa berbanding dengan DP tradisional dan tiga skim compititive yang lain, E2LSH-SDP mempamerkan pertukaran terbaik dari segi masa tindak balas, ketepatan perolehan dan kos pengiraan.
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Salinan
Yi YU, Kazuki JOE, J. Stephen DOWNIE, "Efficient Query-by-Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 6, pp. 1730-1739, June 2008, doi: 10.1093/ietisy/e91-d.6.1730.
Abstract: This paper investigates suitable indexing techniques to enable efficient content-based audio retrieval in large acoustic databases. To make an index-based retrieval mechanism applicable to audio content, we investigate the design of Locality Sensitive Hashing (LSH) and the partial sequence comparison. We propose a fast and efficient audio retrieval framework of query-by-content and develop an audio retrieval system. Based on this framework, four different audio retrieval schemes, LSH-Dynamic Programming (DP), LSH-Sparse DP (SDP), Exact Euclidian LSH (E2LSH)-DP, E2LSH-SDP, are introduced and evaluated in order to better understand the performance of audio retrieval algorithms. The experimental results indicate that compared with the traditional DP and the other three compititive schemes, E2LSH-SDP exhibits the best tradeoff in terms of the response time, retrieval accuracy and computation cost.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.6.1730/_p
Salinan
@ARTICLE{e91-d_6_1730,
author={Yi YU, Kazuki JOE, J. Stephen DOWNIE, },
journal={IEICE TRANSACTIONS on Information},
title={Efficient Query-by-Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison},
year={2008},
volume={E91-D},
number={6},
pages={1730-1739},
abstract={This paper investigates suitable indexing techniques to enable efficient content-based audio retrieval in large acoustic databases. To make an index-based retrieval mechanism applicable to audio content, we investigate the design of Locality Sensitive Hashing (LSH) and the partial sequence comparison. We propose a fast and efficient audio retrieval framework of query-by-content and develop an audio retrieval system. Based on this framework, four different audio retrieval schemes, LSH-Dynamic Programming (DP), LSH-Sparse DP (SDP), Exact Euclidian LSH (E2LSH)-DP, E2LSH-SDP, are introduced and evaluated in order to better understand the performance of audio retrieval algorithms. The experimental results indicate that compared with the traditional DP and the other three compititive schemes, E2LSH-SDP exhibits the best tradeoff in terms of the response time, retrieval accuracy and computation cost.},
keywords={},
doi={10.1093/ietisy/e91-d.6.1730},
ISSN={1745-1361},
month={June},}
Salinan
TY - JOUR
TI - Efficient Query-by-Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison
T2 - IEICE TRANSACTIONS on Information
SP - 1730
EP - 1739
AU - Yi YU
AU - Kazuki JOE
AU - J. Stephen DOWNIE
PY - 2008
DO - 10.1093/ietisy/e91-d.6.1730
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2008
AB - This paper investigates suitable indexing techniques to enable efficient content-based audio retrieval in large acoustic databases. To make an index-based retrieval mechanism applicable to audio content, we investigate the design of Locality Sensitive Hashing (LSH) and the partial sequence comparison. We propose a fast and efficient audio retrieval framework of query-by-content and develop an audio retrieval system. Based on this framework, four different audio retrieval schemes, LSH-Dynamic Programming (DP), LSH-Sparse DP (SDP), Exact Euclidian LSH (E2LSH)-DP, E2LSH-SDP, are introduced and evaluated in order to better understand the performance of audio retrieval algorithms. The experimental results indicate that compared with the traditional DP and the other three compititive schemes, E2LSH-SDP exhibits the best tradeoff in terms of the response time, retrieval accuracy and computation cost.
ER -