Computer Vision -- ECCV 2014 (Record no. 182613)

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control field 978-3-319-10602-1
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125855.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 140814s2014 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319106021
-- 978-3-319-10602-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-319-10602-1
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
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Subject category code COM016000
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Subject category code UYQV
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082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
245 10 - TITLE STATEMENT
Title Computer Vision -- ECCV 2014
Medium [electronic resource] :
Remainder of title 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V /
Statement of responsibility, etc edited by David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2014.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
300 ## - PHYSICAL DESCRIPTION
Extent XXVIII, 853 p. 379 illus.
Other physical details 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 8693
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Video Registration to SfM Models -- Soft Cost Aggregation with Multi-resolution Fusion -- Inverse Kernels for Fast Spatial Deconvolution -- Deep Network Cascade for Image Super-resolution -- Spectral Edge Image Fusion: Theory and Applications -- Spatio-chromatic Opponent Features -- Modeling Perceptual Color Differences by Local Metric Learning -- Online Graph-Based Tracking -- Fast Visual Tracking via Dense Spatio-temporal Context Learning -- Extended Lucas-Kanade Tracking -- Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations -- Generalized Background Subtraction Using Superpixels with Label Integrated Motion Estimation -- Spectra Estimation of Fluorescent and Reflective Scenes by Using Ordinary Illuminants -- Interreflection Removal Using Fluorescence -- Intrinsic Face Image Decomposition with Human Face Priors -- Recovering Scene Geometry under Wavy Fluid via Distortion and Defocus Analysis -- Human Detection Using Learned Part Alphabet and Pose Dictionary -- SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection -- Detecting Snap Points in Egocentric Video with a Web Photo Prior -- Towards Unified Object Detection and Semantic Segmentation -- Foreground Consistent Human Pose Estimation Using Branch and Bound -- Human Pose Estimation with Fields of Parts.-Unsupervised Video Adaptation for Parsing Human Motion -- Training Object Class Detectors from Eye Tracking Data -- Symmetric Objects -- Edge Boxes: Locating Object Proposals from Edges -- Training Deformable Object Models for Human Detection Based on Alignment and Clustering -- Predicting Actions from Static Scenes -- Exploiting Privileged Information from Web Data for Image Categorization -- Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling -- Discriminatively Trained Dense Surface Normal Estimation -- Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects Classification -- Learning Where to Classify in Multi-view Semantic Segmentation -- Semantics: A Medium-Level Model for Real-Time Semantic Scene Understanding -- Sparse Dictionaries for Semantic Segmentation -- Video Action Detection with Relational Dynamic-Poselets -- Action Recognition with Stacked Fisher Vectors -- A Discriminative Model with Multiple Temporal Scales for Action Prediction -- Seeing is Worse than Believing: Reading People’s Minds Better than Computer-Vision Methods Recognize Actions -- Weakly Supervised Action Labeling in Videos under Ordering Constraints -- Active Random Forests: An Application to Autonomous Unfolding of Clothes -- Model-Free Segmentation and Grasp Selection of Unknown Stacked Objects -- Convexity Shape Prior for Segmentation -- Pseudo-bound Optimization for Binary Energies -- A Closer Look at Context: From Coxels to the Contextual Emergence of Object Saliency -- Geodesic Object Proposals -- Microsoft COCO: Common Objects in Context -- Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation -- Robust Bundle AdjustmentRevisited -- Accurate Intrinsic Calibration of Depth Camera with Cuboids -- Statistical Pose Averaging with Non-isotropic and Incomplete Relative Measurements -- A Pot of Gold: Rainbows as a Calibration Cue -- Let There Be Color! Large-Scale Texturing of 3D Reconstructions.
520 ## - SUMMARY, ETC.
Summary, etc The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.
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 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.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fleet, David.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pajdla, Tomas.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schiele, Bernt.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tuytelaars, Tinne.
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 9783319106014
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783319106038
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Image Processing, Computer Vision, Pattern Recognition, and Graphics,
-- 3004-9954 ;
Volume number/sequential designation 8693
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-319-10602-1">https://doi.org/10.1007/978-3-319-10602-1</a>
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Koha item type eBooks-CSE-Springer

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