Coverart for item
The Resource Big Visual Data Analysis : Scene Classification and Geometric Labeling

Big Visual Data Analysis : Scene Classification and Geometric Labeling

Label
Big Visual Data Analysis : Scene Classification and Geometric Labeling
Title
Big Visual Data Analysis
Title remainder
Scene Classification and Geometric Labeling
Creator
Contributor
Subject
Language
eng
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
SpringerBriefs in Electrical and Computer Engineering Ser
Big Visual Data Analysis : Scene Classification and Geometric Labeling
Label
Big Visual Data Analysis : Scene Classification and Geometric Labeling
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4427872
Publication
Copyright
Related Contributor
Related Location
Related Agents
Related Authorities
Related Subjects
Related Items
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Contents -- 1 Introduction -- References -- 2 Scene Understanding Datasets -- 2.1 Small-Scale Scene Understanding Datasets -- 2.1.1 8-scene Dataset -- 2.1.2 15-scene Dataset -- 2.1.3 UIUC Sports -- 2.1.4 CMU 300 -- 2.2 Large-Scale Scene Understanding Datasets -- 2.2.1 80 Million Tiny Image Dataset -- 2.2.2 PASCAL Dataset -- 2.2.3 ImageNet Dataset -- 2.2.4 LabelMe Dataset -- 2.2.5 Scene Understanding (SUN) Dataset -- 2.2.6 Places205 Dataset -- References -- 3 Indoor/Outdoor Classification with Multiple Experts -- 3.1 Introduction -- 3.2 Individual Indoor/Outdoor Experts -- 3.2.1 Experts from Existing Work -- 3.2.2 Proposed Experts -- 3.3 Data Grouping Using Experts' Decisions -- 3.4 Diversity Gain of Experts Via Decisions Stacking -- 3.4.1 Diversity Gain of Two Experts -- 3.4.2 Construction of Multi-Expert Systems -- 3.5 Expert Decision Fusion Systems -- 3.6 Performance Evaluation -- 3.6.1 Performance of Individual Expert -- 3.6.2 Subspace Classification Performance -- 3.6.3 Scalability -- 3.6.4 Discussion -- 3.7 Summary -- References -- 4 Outdoor Scene Classification Using Labeled Segments -- 4.1 Introduction -- 4.2 Review of Previous Works -- 4.2.1 Low-Level Features -- 4.2.2 Mid-Level Features -- 4.2.3 High-Level Features -- 4.2.4 Deep Features -- 4.2.5 Scene Parsing and Semantic Segmentation -- 4.3 Proposed Coarse Semantic Segmentation (CSS) -- 4.3.1 Limitations of Traditional Learning Units -- 4.3.2 Coarse Segmentation -- 4.3.3 Segmental Semantic Labeling -- 4.4 Scene Classification Using CSS -- 4.5 Experimental Results -- 4.5.1 Dataset -- 4.5.2 CSS -- 4.5.3 Scene Classification Results -- 4.6 Summary -- References -- 5 Global-Attributes Assisted Outdoor Scene Geometric Labeling -- 5.1 Introduction -- 5.2 Review of Previous Works -- 5.2.1 Geometric Context from a Single Image -- 5.2.2 Blocks World Revisited
  • 5.2.3 Single-View 3D Scene Parsing by Attributed Grammar -- 5.2.4 Inferring 3D Layout of Buildings from a Single Image -- 5.3 Proposed GAL System -- 5.3.1 System Overview -- 5.3.2 Initial Pixel Labeling (IPL) -- 5.3.3 Global Attributes Extraction (GAE) -- 5.3.4 Layout Reasoning and Label Refinement (LR2) -- 5.4 Experimental Results -- 5.5 Summary -- References -- 6 Conclusion and Future Work
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9789811006319&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4384933'}
Extent
1 online resource (128 pages)
Form of item
online
Isbn
9789811006319
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
Processing Feedback ...