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Multimodal Location Estimation of Videos and Images

Editat de Jae Young Choi, Gerald Friedland
en Limba Engleză Hardback – 20 oct 2014
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.
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Specificații

ISBN-13: 9783319098609
ISBN-10: 3319098608
Pagini: 191
Ilustrații: XII, 191 p. 80 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.57 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.

Notă biografică

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

Textul de pe ultima copertă

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.

Caracteristici

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