Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
W.Y. Ma , Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
B.S. Manjunath , Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Efficient retrieval of information from image and other multimedia databases is an important and challenging problem. Among techniques developed for this purpose, query by example is the most effective way for searching large collections of images. In this paper we propose a new approach to extracting image features based on the local intensity pattern. The user can select any region of interest within an image and request that the system retrieve all similar looking patterns. No domain specific or context information is used in analysis, and the feature representation has desirable properties such as reduced dimensionality, preserving perceptual similarity, and offering a natural hierarchical indexing structure. Experimental results are presented.<
visual databases, image matching, adaptive signal processing, feature extraction
W. Ma and B. Manjunath, "Pattern retrieval in image databases based on adaptive signal decomposition," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1351-1355.