Title :
Template-based image retrieval
Author :
Tao, Bo ; Dickinson, Boonsri
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Abstract :
A classified hierarchical template matching algorithm is presented in this work. In our system, a template is first classified into one of three classes: texture, edge and low-activity. Then different features are used for each class, thereby achieving a better recognition rate than with the commonly used l2 metric. Furthermore, a two-level hierarchical searching algorithm is designed to reduce the amount of computation. The algorithm works in both spatial and DCT domains. It can be applied to image retrieval applications where a user is interested in finding images containing a small pattern
Keywords :
discrete cosine transforms; edge detection; feature extraction; image classification; image matching; image texture; information retrieval; search problems; visual databases; DCT domains; classified hierarchical template matching algorithm; edge; low-activity; recognition rate; spatial domains; template-based image retrieval; texture; two-level hierarchical searching algorithm; Algorithm design and analysis; Content based retrieval; Database systems; Digital images; Discrete cosine transforms; Entropy; Image databases; Image retrieval; Information retrieval; Satellites;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560912
