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Multimodal Location Estimation of Videos and Images

  • Book
  • © 2015

Overview

Editors:
  1. Jaeyoung Choi

    1. International Computer Science Institute, Berkeley, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Gerald Friedland

    1. International Computer Science Institute, Berkeley, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Discusses localization of multimedia data

  • Examines fundamental methods of establishing location metadata (other than GPS tagging)

  • Covers Data-Driven as well as Semantic Location Estimation

  • Includes supplementary material: sn.pub/extras

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Introduction

    • Jaeyoung Choi, Gerald Friedland
    Pages 1-4

  3. The Benchmark as a Research Catalyst: Charting the Progress of Geo-prediction for Social Multimedia

    • Martha Larson, Pascal Kelm, Adam Rae, Claudia Hauff, Bart Thomee, Michele Trevisiol et al.
    Pages 5-40

  4. Large-Scale Image Geolocalization

    • James Hays, Alexei A. Efros
    Pages 41-62

  5. Vision-Based Fine-Grained Location Estimation

    • Heng Liu, Tao Mei, Houqiang Li, Jiebo Luo
    Pages 63-83

  6. Image-Based Positioning of Mobile Devices in Indoor Environments

    • Jason Zhi Liang, Nicholas Corso, Eric Turner, Avideh Zakhor
    Pages 85-99

  7. Application of Large-Scale Classification Techniques for Simple Location Estimation Experiments

    • Howard Lei, Jaeyoung Choi, Gerald Friedland
    Pages 101-113

  8. Collaborative Multimodal Location Estimation of Consumer Media

    • Venkatesan Ekambaram, Kannan Ramchandran, Jaeyoung Choi, Gerald Friedland
    Pages 115-126

  9. Georeferencing Flickr Resources Based on Multimodal Features

    • Pascal Kelm, Sebastian Schmiedeke, Steven Schockaert, Thomas Sikora, Michele Trevisiol, Olivier Van Laere
    Pages 127-152

  10. Human Versus Machine: Establishing a Human Baseline for Multimodal Location Estimation

    • Jaeyoung Choi, Howard Lei, Venkatesan Ekambaram, Pascal Kelm, Luke Gottlieb, Thomas Sikora et al.
    Pages 153-171

  11. Personalized Travel Navigation and Photo-Shooting Navigation Using Large-Scale Geotags

    • T. Yamasaki, A. Gallagher, T. Chen, K. Aizawa
    Pages 173-191
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Keywords

About this book

This book presents an overview of the field of multimodal location estimation. The authors' aim is to describe the research results in this field in a unified way. The book describes fundamental methods of acoustic, visual, textual, social graph, and metadata processing as well as multimodal integration methods used for location estimation. In addition, the book covers benchmark metrics and explores the limits of the technology based on a human baseline. The book also outlines privacy implications and discusses directions for future research in the area.

Editors and Affiliations

  • International Computer Science Institute, Berkeley, USA

    Jaeyoung Choi, Gerald Friedland

About the editors

Dr. Gerald Friedland is the Director at the  Audio and Multimedia Research, International Computer Science Institute
Dr. Jaeyoung Chois is a Researcher at the Audio and Multimedia Research, International Computer Science Institute

Bibliographic Information

  • Book Title: Multimodal Location Estimation of Videos and Images

  • Editors: Jaeyoung Choi, Gerald Friedland

  • DOI: https://doi.org/10.1007/978-3-319-09861-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-09860-9Published: 20 October 2014

  • Softcover ISBN: 978-3-319-34529-1Published: 24 September 2016

  • eBook ISBN: 978-3-319-09861-6Published: 06 October 2014

  • Edition Number: 1

  • Number of Pages: XII, 191

  • Number of Illustrations: 80 illustrations in colour

  • Topics: Signal, Image and Speech Processing, Communications Engineering, Networks, Multimedia Information Systems

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