IEEE Workshop on Content-Based Access of Image and Video Libraries: (CBAIVL'99) : Proceedings : June 22, 1999, Fort Collins, Colorado : in Conjunction with IEEE CVPR'99The goal is to allow people to find in an electronic image library something that is similar to what they are looking at, in order to help with such tasks as diagnosing diseases, finding oil, measure crop yields, and identify environmental problems. Six of the 22 papers present new methods of image |
Contents
A Fast Image Retreival Algorithm with Automatically Extracted Discriminant Features | 8 |
Fast Shape Retrieval Using Term Frequency Vectors | 18 |
Image Database Querying Using a MultiScale Localized Color Representation | 28 |
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algorithm analysis approach arg max attributes average Bhattacharyya distance blocks browsing CBIR system cluster color histogram combination component composite nodes compression Computer Vision content-based image retrieval content-based retrieval corresponding covariance matrix defined descriptors DFDM distance measure edge elementary nodes example face feature extraction feature space feature vector files Full Image Full Full Image Info Gabor filters Gaussian global graph matching Hidden Markov Models hierarchical IEEE Trans Image and Video image database Image Full Image indexing Info Full Image k-means algorithm low-level features Mahalanobis Mahalanobis distance method MSHIR Multimedia nodules object Pattern Recognition perceptual categories pixels Proc QBIC query image regions representation represented retrieval system retrieved images samples scale Section segmentation sequence shape retrieval spatial statistical structure structuredness subimage technique text boxes threshold tion transform codes triangle inequality visual weights x-cluster