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» Features for Content-Based Audio Retrieval
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IPCV
2008
13 years 9 months ago
Content Based Retrieval System for Archaeological Images
Most of the existing image retrieval systems take the textual query from the user and utilize the metadata associated with the database images to retrieve the result. However, the...
Akshay Asthana, Ranjan Dutta, Anshul Jain, Deepak ...
JCDL
2003
ACM
195views Education» more  JCDL 2003»
14 years 21 days ago
An Application of Multiple Viewpoints to Content-Based Image Retrieval
Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the resu...
James C. French, A. C. Chapin, Worthy N. Martin
MIR
2004
ACM
242views Multimedia» more  MIR 2004»
14 years 27 days ago
Content based access for a massive database of human observation video
We present in this paper a CBIR system for use in a psychological study of the relationship between human movement and Dyslexia. The system allows access to up to 500 hours of vid...
Laurent Joyeux, Erika Doyle, Hugh Denman, Andrew C...
RIAO
2007
13 years 9 months ago
Multi-Modal Music Information Retrieval - Visualisation and Evaluation of Clusterings by Both Audio and Lyrics
Navigation in and access to the contents of digital audio archives have become increasingly important topics in Information Retrieval. Both private and commercial music collection...
Robert Neumayer, Andreas Rauber
MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
14 years 1 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...