DocumentCode :
1413596
Title :
Space-filling approach for fast window query on compressed images
Author :
Chung, Kuo-Liang ; Tsai, Yao-Hong ; Hu, Fei-Ching
Author_Institution :
Dept. of Inf. Manage., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Volume :
9
Issue :
12
fYear :
2000
fDate :
12/1/2000 12:00:00 AM
Firstpage :
2109
Lastpage :
2116
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 n1×n2, the proposed algorithm takes O(n1logT+P) time to perform the window query, where n1=max(n1, n2) and T×T is the image size; P is the number of outputted codes. The proposed algorithm improves the naive algorithm, which needs O(n1n2log T+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.
Keywords :
computational complexity; data compression; image coding; query processing; visual databases; Hilbert curve; Hilbert order; algorithm; codes; compressed images; computational advantage; experimental results; fast algorithm; fast window query; image size; naive algorithm; quadtree-based image database; query window size; space-filling approach; time improvement; Books; Cryptography; Filtering; Helium; Hilbert space; Image analysis; Image coding; Image databases; Partitioning algorithms; Spatial databases;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.887978
Filename :
887978
Link To Document :
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