Efficient retrieval for browsing large image databases
Daniel Duanqing Wu, Ambuj K. Singh, Divyakant Agrawal, Amr El Abbadi, Terence R. Smith · 1996
The Alexandria project has been initiated to build a digital library for map and satellite images.Designed for content-based retrieval, the relevant information in each image is encoded in the form of a multi-dimensional feature vector.Though representing images by feature vectors ~eatly facilitates user queries, indexing these vectors degrades performance when the number of dimensions is large.We consider 2 popular techniques (DFT and SVD) to reduce the dimension of feature vectors, and study their retrieval performance with respect to recall and precision.We End that though SVD generally out-performs DFT, DFT compares favorably in a limited range suitable for browsing large image databases.