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 |
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Page 69
... compressed domain . An unsupervised learning approach based upon latent vari- able modeling is adopted to learn a collection , or mixture , of local linear subspaces that are designed for compression , while providing a probabilistic ...
... compressed domain . An unsupervised learning approach based upon latent vari- able modeling is adopted to learn a collection , or mixture , of local linear subspaces that are designed for compression , while providing a probabilistic ...
Page 70
... compression standpoint . In the second stage , the encoder describes the data using the selected code . This general ... compression to 0.4 bits - per - pixel using our statistical coder . The compressed representation is structured to ...
... compression standpoint . In the second stage , the encoder describes the data using the selected code . This general ... compression to 0.4 bits - per - pixel using our statistical coder . The compressed representation is structured to ...
Page 73
... Compressing the images to an average rate of 0.4 bpp , we compared the retrieval results of our coding scheme with that achievable using WUTC designed for compression only . Matching only the histograms of the transform code usage maps ...
... Compressing the images to an average rate of 0.4 bpp , we compared the retrieval results of our coding scheme with that achievable using WUTC designed for compression only . Matching only the histograms of the transform code usage maps ...
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 |
Copyright | |
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Common terms and phrases
algorithm analysis approach arg max attributes average background 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 measures 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 Info Info 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 spatial statistical structure structuredness subimage technique text boxes threshold tion transform codes triangle inequality visual weights x-cluster