TY - JOUR
T1 - Image Classification Using Hybrid Neural Networks
AU - Tsai, Chih Fong
AU - McGarry, Ken
AU - Tait, John
PY - 2003
Y1 - 2003
N2 - Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on the combination of image processing techniques and hybrid neural networks. Multiple keywords are assigned to an image to represent its main contents, i.e. semantic content. Images are divided into a number of regions and colour and texture features are extracted. The first classifier, a self-organising map (SOM) clusters similar images based on the extracted features. Then, regions of the representative images of these clusters were labeled and used to train the second classifier, composed of several support vector machines (SVMs). Initial experiments on the accuracy of keyword assignment for a small vocabulary are reported.
AB - Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on the combination of image processing techniques and hybrid neural networks. Multiple keywords are assigned to an image to represent its main contents, i.e. semantic content. Images are divided into a number of regions and colour and texture features are extracted. The first classifier, a self-organising map (SOM) clusters similar images based on the extracted features. Then, regions of the representative images of these clusters were labeled and used to train the second classifier, composed of several support vector machines (SVMs). Initial experiments on the accuracy of keyword assignment for a small vocabulary are reported.
KW - Content-based image retrieval
KW - Image indexing/classification
KW - Neural networks
UR - http://www.scopus.com/inward/record.url?scp=1542287442&partnerID=8YFLogxK
U2 - 10.1145/860435.860536
DO - 10.1145/860435.860536
M3 - 會議論文
AN - SCOPUS:1542287442
SN - 0163-5840
SP - 431
EP - 432
JO - SIGIR Forum (ACM Special Interest Group on Information Retrieval)
JF - SIGIR Forum (ACM Special Interest Group on Information Retrieval)
IS - SPEC. ISS.
T2 - Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003
Y2 - 28 July 2003 through 1 August 2003
ER -