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Advanced Topics in Computer Vision (Record no. 43808)

MARC details
000 -LEADER
fixed length control field 04618nam a22004937a 4500
001 - CONTROL NUMBER
control field sulb-eb0021716
003 - CONTROL NUMBER IDENTIFIER
control field BD-SySUS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160413122157.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130923s2013 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781447155201
-- 978-1-4471-5520-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4471-5520-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number T385
Classification number TA1637-1638
Classification number TK7882.P3
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
Subject category code COM016000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.6
Edition number 23
245 10 - TITLE STATEMENT
Title Advanced Topics in Computer Vision
Medium [electronic resource] /
Statement of responsibility, etc. edited by Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture London :
Name of producer, publisher, distributor, manufacturer Springer London :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 433 p. 218 illus., 180 illus. in color.
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 Advances in Computer Vision and Pattern Recognition,
International Standard Serial Number 2191-6586
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Visual Features: From Early Concepts to Modern Computer Vision -- Where Next in Object Recognition and How Much Supervision Do We Need? -- Recognizing Human Actions by Using Effective Codebooks and Tracking -- Evaluating and Extending Trajectory Features for Activity Recognition -- Co-Recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and its Applications -- Stereo Matching: State-of-the-Art and Research Challenges -- Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments -- Moment Constraints in Convex Optimization for Segmentation and Tracking -- Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets -- Top-Down Bayesian Inference of Indoor Scenes -- Efficient Loopy Belief Propagation Using the Four Color Theorem -- Boosting k-Nearest Neighbors Classification -- Learning Object Detectors in Stationary Environments -- Video Temporal Super-Resolution Based on Self-Similarity.
520 ## - SUMMARY, ETC.
Summary, etc. Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout.  This unique text/reference presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of the three main areas in computer vision: reconstruction, registration, and recognition. The book provides an in-depth overview of challenging areas, in addition to descriptions of novel algorithms that exploit machine learning and pattern recognition techniques to infer the semantic content of images and videos.  Topics and features: Investigates visual features, trajectory features, and stereo matching Reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization Presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization Examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification Describes how the four-color theorem can be used in early computer vision for solving MRF problems where an energy is to be minimized Introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule Discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video from a single input image sequence  This must-read collection will be of great value to advanced undergraduate and graduate students of computer vision, pattern recognition and machine learning. Researchers and practitioners will also find the book useful for understanding and reviewing current approaches in computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Computer graphics.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Farinella, Giovanni Maria.
Relator term editor.
Personal name Battiato, Sebastiano.
Relator term editor.
Personal name Cipolla, Roberto.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781447155195
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advances in Computer Vision and Pattern Recognition,
International Standard Serial Number 2191-6586
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-1-4471-5520-1">http://dx.doi.org/10.1007/978-1-4471-5520-1</a>
912 ## -
-- ZDB-2-SCS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type

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