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Multimodal location estimation of vi...

Choi, Jaeyoung.

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Multimodal location estimation of videos and images

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multimodal location estimation of videos and images/ edited by Jaeyoung Choi, Gerald Friedland.
other author:	Choi, Jaeyoung.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xii, 191 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Location-based services. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-09861-6
ISBN:	9783319098616 (electronic bk.)

Multimodal location estimation of videos and images
Multimodal location estimation of videos and images[electronic resource] /edited by Jaeyoung Choi, Gerald Friedland. - Cham :Springer International Publishing :2015. - xii, 191 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783319098616 (electronic bk.)

Standard No.: 10.1007/978-3-319-09861-6doiSubjects--Topical Terms:

1061965
Location-based services.

LC Class. No.: TK5105.65

Dewey Class. No.: 006.6

Multimodal location estimation of videos and images
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245 0 0 $a Multimodal location estimation of videos and images $h [electronic resource] / $c edited by Jaeyoung Choi, Gerald Friedland.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xii, 191 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Location-based services. $3 1061965
650 0 $a Image processing $x Digital techniques. $3 532550
650 0 $a Multimedia systems. $3 517454
650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Multimedia Information Systems. $3 892521
700 1 $a Choi, Jaeyoung. $3 2131090
700 1 $a Friedland, Gerald. $3 2131091
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-09861-6
950 $a Engineering (Springer-11647)