Generic content-based audio indexing and retrieval framework

2006 ◽  
Vol 153 (3) ◽  
pp. 285 ◽  
Author(s):  
S. Kiranyaz ◽  
M. Gabbouj
Keyword(s):  
Indexing And Retrieval ◽  
Audio Indexing ◽  
Audio Indexing And Retrieval

Speech and language technologies for audio indexing and retrieval

2000 ◽  
Vol 88 (8) ◽  
pp. 1338-1353 ◽  
Author(s):  
J. Makhoul ◽  
F. Kubala ◽  
T. Leek ◽  
Daben Liu ◽  
Long Nguyen ◽  
...  
Keyword(s):  
Speech And Language ◽  
Indexing And Retrieval ◽  
Audio Indexing ◽  
Language Technologies ◽  
Audio Indexing And Retrieval

An audio indexing and retrieval approach using a video surveillance ontology

2017 ◽  
Author(s):  
Mohammed Yassine Kazi Tani ◽  
Abdelghani Ghomari ◽  
Lamia Dali Youcef ◽  
Adel Lablack ◽  
Ioan Marius Bilasco
Keyword(s):  
Video Surveillance ◽  
Indexing And Retrieval ◽  
Audio Indexing ◽  
Audio Indexing And Retrieval

AN OVERVIEW OF AUDIO CLASSIFIER METHODS AND TECHNIQUES

2018 ◽  
Vol 8 (4) ◽  
pp. 1
Author(s):  
KARTHIKEYAN K
Keyword(s):  
Retrieval Performance ◽  
Existing Problems ◽  
The Past ◽  
Query By Humming ◽  
Indexing And Retrieval ◽  
Retrieval Strategies ◽  
Methods And Techniques ◽  
Feature Based ◽  
Audio Indexing ◽  
Audio Indexing And Retrieval

A brief overview of trends and developments in the area of Content-Based Audio Indexing and Retrieval (CBAIR), during the past few years. Here we explored some limitations and constrains of existing Query by Example (QBE) and Query by Humming (QBH) CBAIR systems. We talked about different methods to represent musical objects, like feature-based representation, musical parameter-based representation; similarly retrieval strategies, like feature based retrieval as well as melody or theme based retrieval of musical objects, in this paper. Moreover, some important issues regarding to indexing and retrieval performance i.e. efficient indexing and retrieval complexity, in this area are discussed thoroughly. Finally, hypothetical solutions for the existing problems in this area are proposed to improve the performance. 

Audio Indexing

2011 ◽  
pp. 104-109
Author(s):  
Gaël Richard
Keyword(s):  
Musical Instrument ◽  
Hard Disks ◽  
Digital Information ◽  
Instrument Recognition ◽  
Indexing And Retrieval ◽  
Level Information ◽  
Audio Data ◽  
Audio Indexing ◽  
High Level ◽  
Audio Information

The enormous amount of unstructured audio data available nowadays and the spread of its use as a data source in many applications are introducing new challenges to researchers in information and signal processing. The continuously growing size of digital audio information increases the difficulty of its access and management, thus hampering its practical usefulness. As a consequence, the need for content-based audio data parsing, indexing and retrieval techniques to make the digital information more readily available to the user is becoming ever more critical. The lack of proper indexing and retrieval systems is making de facto useless significant portions of existing audio information (and obviously audiovisual information in general). In fact, if generating digital content is easy and cheap, managing and structuring it to produce effective services is clearly not. This applies to the whole range of content providers and broadcasters which can amount to terabytes of audio and audiovisual data. It also applies to the audio content gathered in private collection of digital movies or music files stored in the hard disks of conventional personal computers. In summary, the goal of an audio indexing system will then be to automatically extract high-level information from the digital raw audio in order to provide new means to navigate and search in large audio databases. Since it is not possible to cover all applications of audio indexing, the basic concepts described in this chapter will be mainly illustrated on the specific problem of musical instrument recognition.

The Indexing and Retrieval of Document Images: A Survey

1998 ◽  
Author(s):  
David Doermann
Keyword(s):  
Document Images ◽  
Indexing And Retrieval

Feature Normalization for Video Indexing and Retrieval

1996 ◽  
Author(s):  
Vikrant Kobla ◽  
David Doermann ◽  
King-Ip Lin ◽  
Christos Faloutsos
Keyword(s):  
Video Indexing ◽  
Indexing And Retrieval ◽  
Feature Normalization ◽  
Video Indexing And Retrieval

Multimedia indexing and retrieval

1998 ◽  
Vol 32 (2) ◽  
pp. 29-30
Author(s):  
Rohini K. Srihari ◽  
Zhongfei Zhang ◽  
R. Manmatha ◽  
Chandu Ravela
Keyword(s):  
Multimedia Indexing ◽  
Indexing And Retrieval
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