24 August 1999 MUSTER: multiplatform system for efficient retrieval from multimedia databases
Author Affiliations +
Proceedings Volume 3846, Multimedia Storage and Archiving Systems IV; (1999) https://doi.org/10.1117/12.360420
Event: Photonics East '99, 1999, Boston, MA, United States
In this paper we propose a tool for performing queries on image databases based on image content. The image content is saved as a feature set belonging to each image. The feature set is composed of color and location features but can easily be extended to include features like, texture, shape etc. The features are extracted by a new method which processes the histogram of each color component at different scales and merge the results to find dominant colors in the image. The database access and user interface is written using VBScript, ASP and the gateway to the database is achieved using ADO. One of the main advantages of this tool is the usage of ASP rather than Cgi-bin or JAVA.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tevfik Sinan Ingec, Tevfik Sinan Ingec, Bulent Tavli, Bulent Tavli, Kadriye Ozbas, Kadriye Ozbas, Gozde Bozdagi, Gozde Bozdagi, "MUSTER: multiplatform system for efficient retrieval from multimedia databases", Proc. SPIE 3846, Multimedia Storage and Archiving Systems IV, (24 August 1999); doi: 10.1117/12.360420; https://doi.org/10.1117/12.360420


Updates to the QBIC system
Proceedings of SPIE (December 22 1997)
Novel image retrieval technique using salient edges
Proceedings of SPIE (December 18 2001)
Object-oriented image processing in multimedia systems
Proceedings of SPIE (February 15 1996)
Content-based image retrieval
Proceedings of SPIE (February 26 2010)
FFT-based technique for image-signature generation
Proceedings of SPIE (January 14 1997)

Back to Top