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Adaptive multiresolution search: How to beat brute force?

Marc Thuillard
2004 International Journal of Approximate Reasoning  
By using the sparse structure of a wavelet decomposition, adaptive multiresolution search methods can be discussed within the framework of Markov theory.  ...  For that reason, multiresolution search models may be used as prototypic models to study qualitatively the performance of adaptive search models.  ...  CONCLUSIONS New adaptive search methods based on multiresolution analysis and wavelet theory were introduced and discussed within the framework of Markov theory.  ... 
doi:10.1016/j.ijar.2003.08.003 fatcat:3oncvn2zhne5pn43zafasi6vou

Adaptive multiresolution for wavelet analysis

R Sturani, R Terenzi
2008 Journal of Physics, Conference Series  
We present a new method of wavelet packet decomposition to be used in gravitational wave detection.  ...  In the other wavelet methods currently employed, like LIGO WaveBurst, the analysis is performed at some trial resolutions.  ...  Pallottino for his encouraging conversations during the study and development of the entropy-multiresolution method and R.S. wishes to thank G. Vedovato and M.  ... 
doi:10.1088/1742-6596/122/1/012036 fatcat:pygh3n73yjcntakd5btd4egoqe

Adaptive coding of images via multiresolution ICA

Doru C. Balcan, Michael S. Lewicki
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
We provide both quantitative and qualitative assessments of coding performance, and illustrate improvement over standard (i.e., non-adaptive) wavelet-based representations such as that used in JPEG2000  ...  Multiresolution (MR) representations have been very successful in image encoding, due to both their algorithmic performance and coding efficiency.  ...  CONCLUDING REMARKS We proposed MrICA, a hybrid adaptive multiresolution method that combines the advantages of the two families of representations.  ... 
doi:10.1109/icassp.2009.4959760 dblp:conf/icassp/BalcanL09 fatcat:deb6uu76zbbuhcgul3gagmojha

An Area-Based Stereo Matching Using Adaptive Search Range and Window Size [chapter]

Han-Suh Koo, Chang-Sung Jeong
2001 Lecture Notes in Computer Science  
changing the window size adaptively according to the edge information derived from the wavelet transform such that the combination of two adaptive methods in search range and window size greatly enhances  ...  We propose two new strategies (1) for determining search range adaptively from the disparity map and multiresolutional images of region segments obtained by applying feature-based algorithm, and (2) for  ...  changing the window size adaptively according to the edge information derived from the wavelet transform such that the combination of two adaptive methods in search range and window size greatly enhance  ... 
doi:10.1007/3-540-45718-6_6 fatcat:wkuu4h42xbevjdjfb36hc55lye

Efficient novel multiresolution wavelet hybrid matching method for satellite images

Yanwen Ji, Anthony T. S. Ho, Tao Yu, Yan Xia, Harold H. Szu, David L. Donoho, Adolf W. Lohmann, William J. Campbell, James R. Buss
2001 Wavelet Applications VIII  
An adaptive searching range is applied because the searching range of each edge point may be different.  ...  This novel feature-based method is able to reduce the computation overheads without compromising the matching accuracy of satellite images.  ...  In section 2, we provide a detail description on our new method: a brief introduction on bi-orthogonal wavelet characteristics, adaptive matching window and adaptive searching range.  ... 
doi:10.1117/12.421209 fatcat:e3ky733ntraehpkmu5nagj46vm

Fast multiresolution motion estimation algorithms for wavelet-based scalable video coding

Yu Liu, King Ngi Ngan
2007 Signal processing. Image communication  
In this paper, we proposed two fast multiresolution motion estimation algorithms in shift-invariant wavelet domain: one is the wavelet matching error characteristic based partial distortion search (WMEC-PDS  ...  Due to the multiresolution nature, both the proposed approaches can be applied to wavelet-based scalable video coding.  ...  Acknowledgments This work was partially supported by the Chinese University of Hong Kong under the Direct Grant for Research Scheme (Project 2050383) and the Focused Investment Scheme C (Project 1903003  ... 
doi:10.1016/j.image.2007.03.001 fatcat:cjzttecsvrg7bkopuhqfbr52ne

Wavelet-based system for recognition and labeling of polyhedral junctions

Terrance Huntsberger
1998 Optical Engineering: The Journal of SPIE  
A wavelet-based system for polyhedral junction recognition that combines the wavelet-derived edges and line elements at multiple levels of resolution to produce a labeled image is introduced.  ...  However, noise and inconsistent lighting in the images limit the amount of useful information than can be extracted for junction identification.  ...  We use instead the fast lifted wavelet transform ͑FLWT͒ to adapt the multiresolution edge representation to our needs.  ... 
doi:10.1117/1.601843 fatcat:owanjm7luja5nbbkh62u7rr6gq

Invariant Image Retrieval Using Wavelet Maxima Moment [chapter]

Minh Do, Serge Ayer, Martin Vetterli
1999 Lecture Notes in Computer Science  
Therefore feature extraction based on the wavelet maxima transform captures well the edge-based and spatial layout information which are likely the key features on an image query.  ...  There is a high demand for e ective and precise tools for users to search, browse, and interact with image databases and do so in a timely manner.  ...  Therefore feature extraction based on the wavelet maxima transform captures well the edge-based and spatial layout information which are likely the key features on an image query.  ... 
doi:10.1007/3-540-48762-x_56 fatcat:kvjsmekl7jhppf27rlz2zpimiu

Stereo matching algorithm based on curvelet decomposition and modified support weights

Dibyendu Mukherjee, Guanghui Wang, Q.M. Jonathan Wu
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
We present a novel multiresolution analysis based stereo matching method using curvelets and modified adaptive support weight. Multiresolution analysis has long been applied to stereo correspondence.  ...  However, previous methods suffer from false matches arising from textureless region or repetitive textures and fattening effect due to area based matching.  ...  For improving correlation search, multiresolution methods also been used before. Wavelets have been proposed [2, 3] for multiresolution analysis of images.  ... 
doi:10.1109/icassp.2010.5495003 dblp:conf/icassp/MukherjeeWW10 fatcat:nu4wtnqworfmjg57hn62fqbsvq

Page 2756 of Mathematical Reviews Vol. , Issue 95e [page]

1995 Mathematical Reviews  
The proofs are constructive and well adapted to the numerical solutions of boundary value problems. They are based on a characterization of Besov spaces in terms of wavelet coefficients.  ...  by constructing an interpolating scal- ing function in a given multiresolution analysis and the second based on the autocorrelation function of a compactly supported Daubechies wavelet.  ... 

High-performance embedded morphological wavelet coding

F. Lazzaroni, R. Leonardi, A. Signoroni
2003 IEEE Signal Processing Letters  
The layered and adaptive nature of the subband dilation makes it possible for the coding technique to produce an embedded bit-stream with a modest computational cost and state-of-the-art rate-distortion  ...  In this letter, an efficient morphological wavelet coder is proposed. The clustering trend of significant coefficients is captured by a new kind of multiresolution binary dilation operator.  ...  an original method for the analysis of the cluster boundaries by performing an adaptive search around each found cluster.  ... 
doi:10.1109/lsp.2003.817176 fatcat:3567zwrvabf6lkouhm4hjkr3sq

A Study on Image Retrieval Based on Tetrolet Transform

Devika Sarath, M Sucharitha
2018 International Journal of Engineering & Technology  
Image retrieval techniques vary with feature extraction methods and various distance measures.  ...  It provides a brief comparison of various texture image retrieval methods on the basis of retrieval accuracy and computation time.  ...  Texture features and colours are extracted from the multiresolution wavelet domain and is combined.  ... 
doi:10.14419/ijet.v7i3.27.17964 fatcat:yd2iyf5rkbch5n22tzkr3dp4hy

Fast Parallel Multimedia Database Access Based on Wavelet Multiresoliition Pyramidal Decomposition

Jean Michel Marie-Julie, Hassane Essafi
1996 IAPR International Workshop on Machine Vision Applications  
In order to reduce the data volume space and the time retrieval we have developed a method allowing, firstly, to store only compressed images in the database.  ...  This method has been evaluated either on monoprocessor workstation and on our SIMD parallel computer called SYMPHONIE (ldnear army processors, developed in our labomtory for infmred space applications)  ...  And the multiresolution aspect of the wavelet transform is adapted to the vector quantization : each sub-image can be quantized using the appropriate size of the quantization vector.  ... 
dblp:conf/mva/Marie-JulieE96 fatcat:lmhbdldbonbtnmkuutm4urc424

Multiresolution analysis as an approach for tool path planning in NC machining

Ranga Narayanaswami, Junhua Pang
2003 Computer-Aided Design  
Machining simulation comparison between contour parallel (a), wavelet based method (b), and wavelet and convex hull based method (c). Figure 4 . 4 12.  ...  Comparison for telephone shaped object Contour parallel method Wavelet based method Wavelet and convex hull based method Tool path length (in.)  ... 
doi:10.1016/s0010-4485(02)00050-7 fatcat:fu4qmodzprbk5m6wxouxhsxxzy

A NOx Emission Forecasting Model Using Multiresolution LSSVM Based on Data-driven and SF-KPCA

Xiao LIU, Xiu-zhang JIN, Xu-da DING, Shao-kang ZHANG
2017 DEStech Transactions on Engineering and Technology Research  
A NOx emission forecasting model using multiresolution least squares support vector machine (LSSVM) based on data-driven and SF-KPCA is proposed.  ...  Then, inspired by multiresolution analysis, a multiresolution LSSVM with online adaptive update ability is conducted, which employs the total forecast error as the threshold to update the forecasting model  ...  So, steps of the forecasting model based on Adaptive update algorithm are as follows:1)The initial multiresolution LSSVM model is established.  ... 
doi:10.12783/dtetr/mcae2017/15966 fatcat:rsw2mhy6jrgu5om4dqz5kdmmzi
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