Title :
Multispectral image retrieval using vector quantization
Author :
Uchiyama, Tsuyoshi ; Yamaguchi, Masaki ; Ohyama, Nagaaki ; Mukawa, Naoki ; Kaneko, Hironori
fDate :
6/23/1905 12:00:00 AM
Abstract :
A novel method for multispectral image retrieval is presented. This method uses a representation of image features based on vector quantization. Feature representation is important for image retrieval, but there are difficulties in applying conventional histogram-based representations to multispectral images. We developed an efficient feature representation and a novel method for the retrieval of images by quantizing each image adaptively
Keywords :
adaptive signal processing; feature extraction; image coding; image colour analysis; image representation; image retrieval; vector quantisation; adaptive quantization; code vectors; color histograms; image feature representation; multispectral image retrieval; vector quantization; Histograms; Image analysis; Image databases; Image recognition; Image retrieval; Information retrieval; Multidimensional systems; Multispectral imaging; Spatial databases; Vector quantization;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958945
