Deterministic wavelet thresholding for general-error metrics

Image analysis – Image compression or coding – Quantization

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C358S426090, C708S203000

Reexamination Certificate

active

08055088

ABSTRACT:
Novel, computationally efficient schemes for deterministic wavelet thresholding with the objective of optimizing maximum-error metrics are provided. An optimal low polynomial-time algorithm for one-dimensional wavelet thresholding based on a new dynamic-programming (DP) formulation is provided that can be employed to minimize the maximum relative or absolute error in the data reconstruction. Directly extending a one-dimensional DP algorithm to multi-dimensional wavelets results in a super-exponential increase in time complexity with the data dimensionality. Thus, novel, polynomial-time approximation schemes (with tunable approximation guarantees for the target maximum-error metric) for deterministic wavelet thresholding in multiple dimensions are also provided.

REFERENCES:
patent: 5710835 (1998-01-01), Bradley
patent: 5966465 (1999-10-01), Keith et al.
patent: 6148111 (2000-11-01), Creusere
patent: 6392705 (2002-05-01), Chaddha
patent: 6466698 (2002-10-01), Creusere
patent: 7050640 (2006-05-01), Acharya et al.
patent: 2007/0058871 (2007-03-01), Deligiannakis et al.
J. M. Hellerstein, et al., “Online Aggregation”, SIGMOD '97, Arizona, pp. 171-182.
A. Natsev et al., “Walrus: A Similarity Retrieval Algorithm for Image Databases”, SIGMOD '99 Philadelphia, PA, pp. 395-406.
K. Chakrabarti et al., “Approximate Query Processing Using Wavelets”, Proceedings of the 26th VLDB Conference, Cairo, Egypt, 2000, pp. 111-122.
Y. Matias, “Dynamic Maintenance of Wavelet-Based Histograms”, Proceedings of the 26thVLDB Conference, Cairo, Egypt, 2000.
A. Gilbert et al., “Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries”, Proceedings of the 27thVLDB Conference, Roma, Italy, 2001.
A. Deshpande et al., “Independence is Good: Dependency-Based Histogram Synopses for High Dimensional Data”, ACM SIGMOD May 21-24, 2001. Santa Barbara, CA.
M. Garafalakis and P. B. Gibbons, “Wavelet Synopses With Error Guarantees”, ACM SIGMOD 'Jun. 4-6, 2002, Madison, Wisconsin.
A. Deligiannakis and N. Roussopoulos, “Extended Wavelets for Multiple Measures”, SIGMOD 2003, Jun. 9-12, San Diego, CA, pp. 229-240.
M. Garafalakis and P. B. Gibbons, “Probabilistic Wavelet Synopses”, ACM Transactions on Database Systems, vol. 29, No. 1, Mar. 2004, pp. 43-90.
S. Guha, “A Note on Wavelet Optimization”, Sep. 8, 2004.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Deterministic wavelet thresholding for general-error metrics does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Deterministic wavelet thresholding for general-error metrics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Deterministic wavelet thresholding for general-error metrics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4273698

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.