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Large-Scale Visual Geo-Localization

Overview of attention for book
Cover of 'Large-Scale Visual Geo-Localization'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Large-Scale Visual Geo-localization
  3. Altmetric Badge
    Chapter 2 Discovering Mid-level Visual Connections in Space and Time
  4. Altmetric Badge
    Chapter 3 Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos
  5. Altmetric Badge
    Chapter 4 Cross-View Image Geo-localization
  6. Altmetric Badge
    Chapter 5 Ultrawide Baseline Facade Matching for Geo-localization
  7. Altmetric Badge
    Chapter 6 Semantically Guided Geo-location and Modeling in Urban Environments
  8. Altmetric Badge
    Chapter 7 Recognizing Landmarks in Large-Scale Social Image Collections
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    Chapter 8 Worldwide Pose Estimation Using 3D Point Clouds
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    Chapter 9 Exploiting Spatial and Co-visibility Relations for Image-Based Localization
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    Chapter 10 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming
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    Chapter 11 Image-Based Large-Scale Geo-localization in Mountainous Regions
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    Chapter 12 Adaptive Rendering for Large-Scale Skyline Characterization and Matching
  14. Altmetric Badge
    Chapter 13 User-Aided Geo-location of Untagged Desert Imagery
  15. Altmetric Badge
    Chapter 14 Visual Geo-localization of Non-photographic Depictions via 2D–3D Alignment
  16. Altmetric Badge
    Chapter 15 A Memory Efficient Discriminative Approach for Location-Aided Recognition
  17. Altmetric Badge
    Chapter 16 A Real-World System for Image/Video Geo-localization
  18. Altmetric Badge
    Chapter 17 Photo Recall: Using the Internet to Label Your Photos
Attention for Chapter 3: Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos
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Chapter title
Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos
Chapter number 3
Book title
Large-Scale Visual Geo-Localization
Published in
Advances in Computer Vision and Pattern Recognition, July 2016
DOI 10.1007/978-3-319-25781-5_3
Book ISBNs
978-3-31-925779-2, 978-3-31-925781-5
Authors

Li-Jia Li, Rahul Kumar Jha, Bart Thomee, David Ayman Shamma, Liangliang Cao, Yang Wang

Editors

Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 1 20%
Neuroscience 1 20%
Engineering 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 July 2016.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Advances in Computer Vision and Pattern Recognition
#1
of 1 outputs
Outputs of similar age
#289,829
of 373,016 outputs
Outputs of similar age from Advances in Computer Vision and Pattern Recognition
#1
of 1 outputs
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So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them