Pixelization Paradigm (Record no. 176465)

MARC details
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001 - CONTROL NUMBER
control field 978-3-540-71027-1
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125312.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 100301s2007 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540710271
-- 978-3-540-71027-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-540-71027-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
245 10 - TITLE STATEMENT
Title Pixelization Paradigm
Medium [electronic resource] :
Remainder of title Visual Information Expert Workshop, VIEW 2006, Paris, France, April 24-25, 2006, Revised Selected Papers /
Statement of responsibility, etc edited by Pierre P Lévy, Bénédicte Le Grand, François Poulet, Michel Soto, Laszlo Darago, Laurent Toubiana, Jean-Francois Vibert.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2007.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2007.
300 ## - PHYSICAL DESCRIPTION
Extent XV, 288 p.
Other physical details online resource.
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-- online resource
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490 1# - SERIES STATEMENT
Series statement Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume number/sequential designation 4370
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Pixelization Theory -- Pixelization Paradigm: Outline of a Formal Approach -- Scalable Pixel Based Visual Data Exploration -- High Dimensional Visual Data Classification -- Using Biclustering for Automatic Attribute Selection to Enhance Global Visualization -- Pixelisation-Based Statistical Visualisation for Categorical Datasets with Spreadsheet Software -- Dynamic Display of Turnaround Time Via Interactive 2D Images -- Pixelizing Data Cubes: A Block-Based Approach -- Leveraging Layout with Dimensional Stacking and Pixelization to Facilitate Feature Discovery and Directed Queries -- Online Data Visualization of Multidimensional Databases Using the Hilbert Space–Filling Curve -- Pixel-Based Visualization and Density-Based Tabular Model -- Pixelization Applications -- A Geometrical Approach to Multiresolution Management in the Fusion of Digital Images -- Analysis and Visualization of Images Overlapping: Automated Versus Expert Anatomical Mapping in Deep Brain Stimulation Targeting -- A Computational Method for Viewing Molecular Interactions in Docking -- A Graphical Tool for Monitoring the Usage of Modules in Course Management Systems -- Visu and Xtms: Point Process Visualisation and Analysis Tools -- Visualizing Time-Course and Efficacy of In-Vivo Measurements of Uterine EMG Signals in Sheep -- From Endoscopic Imaging and Knowledge to Semantic Formal Images -- Multiscale Scatterplot Matrix for Visual and Interactive Exploration of Metabonomic Data -- ICD-View: A Technique and Tool to Make the Morbidity Transparent -- Pixelization and Cognition -- Time Frequency Representation for Complex Analysis of the Multidimensionality Problem of Cognitive Task -- Instant Pattern Filtering and Discrimination in a Multilayer Network with Gaussian Distribution of the Connections -- AC3 – AutomaticCartography of Cultural Contents -- Evaluation of the Mavigator.
520 ## - SUMMARY, ETC.
Summary, etc The pixelization paradigm states as a postulate that pixelization methods are rich and are worth exploring as far as possible. In fact, we think that the strength of these methods lies in their simplicity, in their high-density way of information representation property and in their compatibility with neurocognitive processes. • Simplicity, because pixelization belongs to two-dimensional information visualization methods and its main idea is identifying a “pixel” with an informational entity in order to translate a set of informational entities into an image. • High-density way of information representation property, firstly because pixelization representation contains a third dimension—each pixel’s color—and secondly because pixelization is a “compact” (two-dimensional) way of representing information compared with linear one-dimensional representations (Ganascia, p.255) . • Compatibility with neurocognitive processes, firstly because we are thr- dimensional beings and thus we are intrinsically better at grasping one- or two-dimensional data, and secondly because the cerebral cortex is typically a bi-dimensional structure where metaphorically the neurons can be assimilated to “pixels,” whose activity plays the role of color (Lévy, p.3). The pixelization paradigm may be studied along two related directions: pixelization and its implementation and pixelization and cognition. The first direction—pixelization and its implementation—may be divided into two parts: pixelization theory and pixelization application.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern recognition systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer graphics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Vision.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automated Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Graphics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational and Systems Biology.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lévy, Pierre P.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Le Grand, Bénédicte.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Poulet, François.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Soto, Michel.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Darago, Laszlo.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Toubiana, Laurent.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Vibert, Jean-Francois.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783540710264
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783540835714
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Image Processing, Computer Vision, Pattern Recognition, and Graphics,
-- 3004-9954 ;
Volume number/sequential designation 4370
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-540-71027-1">https://doi.org/10.1007/978-3-540-71027-1</a>
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Koha item type eBooks-CSE-Springer

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