Toward Category-Level Object Recognition (Record no. 86690)

000 -LEADER
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001 - CONTROL NUMBER
control field 978-3-540-68795-5
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730170027.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 101223s2006 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540687955
-- 978-3-540-68795-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/11957959
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q337.5
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK7882.P3
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQP
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQP
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.4
Edition number 23
245 10 - TITLE STATEMENT
Title Toward Category-Level Object Recognition
Medium [electronic resource] /
Statement of responsibility, etc. edited by Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2006.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin, Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2006.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 620 p.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume/sequential designation 4170
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Object Recognition in the Geometric Era: A Retrospective -- Dataset Issues in Object Recognition -- Industry and Object Recognition: Applications, Applied Research and Challenges -- Recognition of Specific Objects -- What and Where: 3D Object Recognition with Accurate Pose -- Object Recognition Using Local Affine Frames on Maximally Stable Extremal Regions -- 3D Object Modeling and Recognition from Photographs and Image Sequences -- Video Google: Efficient Visual Search of Videos -- Simultaneous Object Recognition and Segmentation by Image Exploration -- Recognition of Object Categories -- Comparison of Generative and Discriminative Techniques for Object Detection and Classification -- Synergistic Face Detection and Pose Estimation with Energy-Based Models -- Generic Visual Categorization Using Weak Geometry -- Components for Object Detection and Identification -- Cross Modal Disambiguation -- Translating Images to Words for Recognizing Objects in Large Image and Video Collections -- A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues -- Towards the Optimal Training of Cascades of Boosted Ensembles -- Visual Classification by a Hierarchy of Extended Fragments -- Shared Features for Multiclass Object Detection -- Generative Models for Labeling Multi-object Configurations in Images -- Object Detection and Localization Using Local and Global Features -- The Trace Model for Object Detection and Tracking -- Recognition of Object Categories with Geometric Relations -- A Discriminative Framework for Texture and Object Recognition Using Local Image Features -- A Sparse Object Category Model for Efficient Learning and Complete Recognition -- Object Recognition by Combining Appearance and Geometry -- Shape Matching and Object Recognition -- An Implicit Shape Model for Combined Object Categorization and Segmentation -- Statistical Models of Shape and Texture for Face Recognition -- Joint Recognition and Segmentation -- Image Parsing: Unifying Segmentation, Detection, and Recognition -- Sequential Learning of Layered Models from Video -- An Object Category Specific mrf for Segmentation.
520 ## - SUMMARY, ETC.
Summary, etc. Although research in computer vision for recognizing 3D objects in photographs dates back to the 1960s, progress was relatively slow until the turn of the millennium, and only now do we see the emergence of effective techniques for recognizing object categories with different appearances under large variations in the observation conditions. Tremendous progress has been achieved in the past five years, thanks largely to the integration of new data representations, such as invariant semi-local features, developed in the computer vision community with the effective models of data distribution and classification procedures developed in the statistical machine-learning community. This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The main goals of these two workshops were to promote the creation of an international object recognition community, with common datasets and evaluation procedures, to map the state of the art and identify the main open problems and opportunities for synergistic research, and to articulate the industrial and societal needs and opportunities for object recognition research worldwide. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pattern recognition systems.
9 (RLIN) 3953
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
General subdivision Digital techniques.
9 (RLIN) 4145
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 91695
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 3407
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer graphics.
9 (RLIN) 4088
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms.
9 (RLIN) 3390
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Automated Pattern Recognition.
9 (RLIN) 31568
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
9 (RLIN) 31569
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 91696
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
9 (RLIN) 3407
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Graphics.
9 (RLIN) 4088
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms.
9 (RLIN) 3390
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ponce, Jean.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 91697
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hebert, Martial.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 91698
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schmid, Cordelia.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 91699
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zisserman, Andrew.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 21604
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 91700
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783540687948
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783540834229
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume/sequential designation 4170
9 (RLIN) 91701
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/11957959">https://doi.org/10.1007/11957959</a>
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Koha item type eBooks-Lecture Notes in CS

No items available.