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Space-filling approach for fast window query on compressed images
1Department of Information Management, Institute of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 10672, Taiwan, ROC. klchung@cs.ntust.edu.tw
Abstract:
Based on the space-filling approach, this paper presents a fast algorithm for window query on compressed images. Given a query window of size n1xn2, the proposed algorithm takes O(n1logT+P) time to perform the window query, where n1=max(n1, n2) and TxT is the image size; P is the number of outputted codes. The proposed algorithm improves the naive algorithm, which needs O(n1n2logT+P) time, significantly. Some experimentations are carried out to demonstrate the computational advantage of the proposed algorithm. From the experimental results, it is observed that the proposed algorithm has about 72-98% time improvement when compared to the naive algorithm.
