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Multimodal Location Estimation of Videos and Images

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 f...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Choi, Jaeyoung (Editor ), Friedland, Gerald (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • The Benchmark as a Research Catalyst: Charting the Progress of Geo-Prediction for Social Multimedia
  • Large-scale Image Geolocalization
  • Vision-based Fine-Grained Location Estimation
  • Image-Based Positioning of Mobile Devices in Indoor Environments
  • Application of Large-Scale Classification Techniques for Simple Location Estimation Experiments
  • Collaborative Multimodal Location Estimation of Consumer Media
  • Georeferencing Flickr resources based on multimodal features
  • Human vs Machine: Establishing a Human Baseline for Multimodal Location Estimation
  • Personalized Travel Navigation and Photo-Shooting Navigation Using Large-Scale Geotags.