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Comparison of the effectiveness of alternative feature sets in shape retrieval of multicomponent images

John P. Eakins, Jonathan D. Edwards, K. Jonathan Riley, Paul L. Rosin, Minerva M. Yeung, Chung-Sheng Li, Rainer W. Lienhart
2001 Storage and Retrieval for Media Databases 2001  
Many different kinds of feature have been used as the basis for shape retrieval from image databases.  ...  This paper investigates the relative effectiveness of several types of global shape feature, both singly and in combination.  ...  The views expressed, however, are purely those of the authors.  ... 
doi:10.1117/12.410929 dblp:conf/spieSR/EakinsERR01 fatcat:erqoer4mu5avxif22bolidrsba

Geodesics on the Manifold of Multivariate Generalized Gaussian Distributions with an Application to Multicomponent Texture Discrimination

Geert Verdoolaege, Paul Scheunders
2011 International Journal of Computer Vision  
The MGGD is shown to be an adequate model for the heavy-tailed wavelet statistics in multicomponent images, such as color or multispectral images.  ...  We compare the performance, both in terms of texture discrimination capability and computational load, of the GD and the Kullback-Leibler divergence (KLD).  ...  Acknowledgements This work was partially funded by the Fund for Scientific Research-Flanders (FWO-Vlaanderen).  ... 
doi:10.1007/s11263-011-0448-9 fatcat:x2ebzm2fqfhchk56z4xgovfexi

Retrieval from long-term memory reduces working memory representations for visual features and their bindings

Amanda E. van Lamsweerde, Melissa R. Beck, Emily M. Elliott
2014 Memory & Cognition  
In four experiments, we examined the effects of retrieving a word from LTM on shape and colorshape binding change detection performance.  ...  The ability to remember feature bindings is an important measure of the ability to maintain objects in working memory (WM).  ...  However, the magnitudes of the effect of LTM retrieval were similar when detecting binding and shape changes.  ... 
doi:10.3758/s13421-014-0468-0 pmid:25301564 fatcat:tfelo575zvdotmnvnyc6moro6u

A harmonic retrieval framework for discontinuous motion estimation

Wei-Ge Chen, G.B. Giannakis, N. Nandhakumar
1998 IEEE Transactions on Image Processing  
Motion discontinuities arise when there are occlusions or multiple moving objects in the scene that is imaged.  ...  In this paper, we show that discontinuous (or multiple) motion estimation can be viewed as a multicomponent harmonic retrieval problem.  ...  ACKNOWLEDGMENT The authors thank Prof. G. Zhou at Georgia Tech for the implementation of the MUSIC algorithm. The authors appreciate the efforts and the suggestions of the anonymous reviewers.  ... 
doi:10.1109/83.709656 pmid:18276337 fatcat:clokyvghwjbk5n7l4charlt644

Recognition Receiver Operating Characteristic Curves: The Complex Influence of Input Statistics, Memory, and Decision-making

Olya Hakobyan, Sen Cheng
2021 Journal of Cognitive Neuroscience  
This enables us to reproduce and interpret in a coherent framework the diverse effects on recognition memory that have been reported in patients with frontal and hippocampal lesions.  ...  The distinction between familiarity and recollection has been widely studied in cognitive neuroscience in a variety of conditions, including lesions of different brain regions.  ...  We would like to thank Eva Yezerets and Mariam Jabara for their assistance in developing the sensory processing module of our model.  ... 
doi:10.1162/jocn_a_01697 pmid:33656399 fatcat:5s4tgn3eo5ebvbpgjilyaluufy

A functional neuroimaging study of the variables that generate category-specific object processing differences

Caroline J. Moore, Cathy J. Price
1999 Brain  
For man-made objects, the only categoryspecific effect was in the left posterior middle temporal cortex, which was most active for drawings of tools, as previously reported.  ...  Brain damage can cause remarkably selective deficits in processing specific categories of objects, indicating the high degree of functional segregation within the brain.  ...  Humphreys for their invaluable comments on this manuscript, the radiographers at the Functional Imaging Laboratory and the volunteers who participated in the studies.  ... 
doi:10.1093/brain/122.5.943 pmid:10355678 fatcat:tw2ocendvnb3zk5qgzd6gb4auu

A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems

Giovanni Chierchia, Nelly Pustelnik, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet
2014 IEEE Transactions on Image Processing  
In this paper, we extend the NLTV-based regularization to multicomponent images by taking advantage of the Structure Tensor (ST) resulting from the gradient of a multicomponent image.  ...  The results demonstrate the interest of introducing a non-local structure tensor regularization and show that the proposed approach leads to significant improvements in terms of convergence speed over  ...  An alternative way is to process the components jointly, so as to better reveal details and features that are not visible in each of the components considered separately.  ... 
doi:10.1109/tip.2014.2364141 pmid:25347882 fatcat:mz3pjto6mrbspbpgkg43snf6ua

Robust Processing of Nonstationary Signals

Igor Djurović, Ljubiša Stanković, Markus Rupp (EURASIPMember), Ling Shao
2010 EURASIP Journal on Advances in Signal Processing  
The principles of robust statistics have found fruitful applications in numerous signal-processing disciplines especially in digital image processing and signal processing for communications.  ...  As an alternative, the robust filtering techniques are proposed in spectral (frequency-Fourier, DCT, wavelet, or in the timefrequency) domain.  ...  Then, the problem of harmonic retrieval is treated as a problem of finding the maximal values in the GA.  ... 
doi:10.1155/2010/724746 fatcat:szdryrbksja2feukzjadkrnkgy

Ventrolateral Prefrontal Neuronal Activity Related to Active Controlled Memory Retrieval in Nonhuman Primates

G. Cadoret, M. Petrides
2007 Cerebral Cortex  
activity within this region of the monkey brain while the monkeys performed the active retrieval task.  ...  These findings demonstrate, for the first time, an impressive capacity by macaque monkeys for controlled memory retrieval and, in addition, provide neurophysiological evidence about the role of the mid-ventrolateral  ...  Conflict of Interest: None declared. Address correspondence to Michael Petrides, Montreal Neurological Institute, 3801 University Street, Montreal H3A 2B4, Quebec, Canada.  ... 
doi:10.1093/cercor/bhm086 pmid:17726001 fatcat:cyhjq67uzzdarewsrfhzv564uq

Automatic laser welding and milling with in situ inline coherent imaging

P. J. L. Webster, L. G. Wright, Y. Ji, C. M. Galbraith, A. W. Kinross, C. Van Vlack, J. M. Fraser
2014 Optics Letters  
Here we show that inline coherent imaging, with line rates up to 312 kHz and microsecond-duration capture times, is capable of directly measuring laser penetration depth in a process as violent as kW-class  ...  sculpting in vastly different heterogeneous biological materials.  ...  We thank Kevin Mortimer and Karen Yu for early contributions and helpful discussions, and Charles Cooney for assistance in destructive analysis and SEM imaging.  ... 
doi:10.1364/ol.39.006217 pmid:25361318 fatcat:defwtbdqn5fv3bbdf6xears76q

Spatial cluster analysis of nanoscopically mapped serotonin receptors for classification of fixed brain tissue

Michael Sams, Rene Silye, Janett Göhring, Leila Muresan, Kurt Schilcher, Jaroslaw Jacak
2013 Journal of Biomedical Optics  
Our work demonstrates the applicability of localization microscopy and image analysis methods for comparison and classification of human brain tissues at a nanoscopic level.  ...  Selected features of such clusters were subsequently used to characterize and classify the tissue.  ...  Acknowledgments The work described in this article was done within the research project Medical Proteomics Lab sponsored by Basic Research Program of the University of Applied Sciences Upper Austria.  ... 
doi:10.1117/1.jbo.19.1.011021 pmid:24297043 fatcat:acyhdzntq5fbrmnydn5tmobvbu

Shift & 2D Rotation Invariant Sparse Coding for Multivariate Signals

Quentin Barthelemy, Anthony Larue, Aurélien Mayoue, David Mercier, Jérôme I. Mars
2012 IEEE Transactions on Signal Processing  
By studying 2D motions that are acquired in bivariate real signals, we want the decompositions to be independent of the orientation of the movement execution in the 2D space.  ...  As validation, our methods are applied to 2D handwritten data to extract the elementary features of this signals set, and to provide rotation invariant decomposition.  ...  ACKNOWLEDGMENT The authors would like to thank Z. Kowalski, A. Hanssen, and anonymous reviewers for their fruitful comments, and C. Berrie for his help about English usage.  ... 
doi:10.1109/tsp.2012.2183129 fatcat:a7peftdkgzfanmfi4egw66vcwi

GASPHOT: a tool for Galaxy Automatic Surface PHOTometry

E. Pignatelli, G. Fasano, P. Cassata
2006 Astronomy and Astrophysics  
In this paper we present a new tool for automatic, blind surface photometry of galaxies in deep and/or wide fields.  ...  The GASPHOT performance was also compared with those of two popular alternative tools for a single component, Sersic law: GALFIT (Peng et al. 2002) and GIM2D (Marleau & Simard 1998) .  ...  We wish to thank the anonymous referee for useful comments that greatly helped to improve the quality of the paper.  ... 
doi:10.1051/0004-6361:20041704 fatcat:wkmmgy7dyvdrnnqwi6yantt6wy

The Memory for Latent Representations: An Account of Working Memory that Builds on Visual Knowledge for Efficient and Detailed Visual Representations [article]

Shekoofeh Hedayati, Ryan O'Donnell, Brad Wyble
2021 bioRxiv   pre-print
The simulation results revealed that shape information for stimuli that the model was trained on, can be encoded and retrieved efficiently from latents in higher levels of the visual hierarchy.  ...  Moreover, the representation of a given stimulus can have multiple codes, representing specific visual features such as shape or color, in addition to categorical information.  ...  Acknowledgements We would like to thank John Collins, Joyce Tam, Chloe Callahan-Flintoft and Pooyan Doozandeh for their helpful comments during the preparation of this manuscript.  ... 
doi:10.1101/2021.02.07.430171 fatcat:dx7st6oiuvfltb65z77ktshvfm

Generic multivariate model for color texture classification in RGB color space

Ahmed Drissi El Maliani, Mohammed El Hassouni, Yannick Berthoumieu, Driss Aboutajdine
2014 International Journal of Multimedia Information Retrieval  
in the context of texture retrieval.  ...  Another Copula based mul-73 tivariate modeling was proposed by Sakji-Nsibi et al. [8], for multicomponent 74 image indexing using Gaussian Copula in conjunction with the GGD and 75 Gamma densities.  ...  In [31], authors employed the ML selection rule of the 435 Content Based Image Retrieval (CBIR) framework as an alternative of the 436 Monte-carlo based approach, but without providing a closed-form expres  ... 
doi:10.1007/s13735-014-0071-y fatcat:jqhzlsfxqrgfrdug4irwgv2ely
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