國立虎尾科技大學 |

Multimodal location estimation of videos and images

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multimodal location estimation of videos and images/ edited by Jaeyoung Choi, Gerald Friedland.
其他作者:	Choi, Jaeyoung.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xii, 191 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Location-based services. -
電子資源:	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:

639574
Location-based services.

LC Class. No.: TK5105.65

Dewey Class. No.: 006.6

Multimodal location estimation of videos and images
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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.
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700 1 $a Friedland, Gerald. $3 1063301
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