Multimodal Location Estimation of Videos and Images

TitleMultimodal Location Estimation of Videos and Images
Publication TypeBook
Year of Publication2015
Series EditorChoi, J., & Friedland G.
Other Numbers3744

This book presents an overview of the field of multimodal location estimation, i.e. using acoustic, visual, and/or textual cues to estimate the shown location of a video recording. The authors' sample research results in this field in a unified way integrating research work on this topic that focuses on different modalities, viewpoints, and applications. 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 text covers benchmark metrics and explores the limits of the technology based on a human baseline.

  • Discusses localization of multimedia data;
  • Examines fundamental methods of establishing location metadata for images and videos (other than GPS tagging);
  • Covers Data-Driven as well as Semantic Location Estimation.

Initial experiments of this work were supported by an NGA NURI grant \#HM11582-10-1-0008 and Korean Foundation for Advanced Studies. Later work was supported by the National Science Foundation through grants CNS: 1065240 ("Understanding and Managing the Impact of Global Inference on Online Privacy") and IIS : 1251276 ("SMASH -- Scalable Multimedia content AnalysiS in a High-level language"). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of the NGA or the NSF.

Bibliographic Notes


Abbreviated Authors

J. Choi and G. Friedland, eds.

ICSI Research Group

Audio and Multimedia

ICSI Publication Type