Presentation	1999/1/21 Content-Based Image Retrieval Using Multi-Layer Neural Networks Tatsuya Nomura, Hitoshi Hattori, Naoki Urano,
PDF Download Page	PDF download Page Link
Abstract(in Japanese)	(See Japanese page)
Abstract(in English)	This paper discusses the proposal of an image retrieval method based on image feature extraction by discrete wavelet and discrete cosine transforms, and discrimination between expected images and unexpected images by a multi-layer neural network. Moreover, we present and discuss results of simulations for verifcation of the efficiency of our method.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Multi-Layer Neural Network / Learning / Content-Based Image Retrieval
Paper #	NC98-74
Date of Issue

Conference Information
Committee	NC
Conference Date	1999/1/21(1days)
Place (in Japanese)	(See Japanese page)
Place (in English)
Topics (in Japanese)	(See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Content-Based Image Retrieval Using Multi-Layer Neural Networks
Sub Title (in English)
Keyword(1)	Multi-Layer Neural Network
Keyword(2)	Learning
Keyword(3)	Content-Based Image Retrieval
1st Author's Name	Tatsuya Nomura
1st Author's Affiliation	System Developemnt Center, Corporate Research and Development Group, Sharp Corporation()
2nd Author's Name	Hitoshi Hattori
2nd Author's Affiliation	Department of Mathematical Engineering and Information Physics, Faculty of Engineering, University of Tokyo
3rd Author's Name	Naoki Urano
3rd Author's Affiliation	System Developemnt Center, Corporate Research and Development Group, Sharp Corporation
Date	1999/1/21
Paper #	NC98-74
Volume (vol)	vol.98
Number (no)	526
Page	pp.pp.-
#Pages	8
Date of Issue