大葉大學圖書館 |

Multimodal location estimation of videos and images[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.6
書名/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.
標題:	Image processing - Digital techniques.
標題:	Multimedia systems.
標題:	Engineering.
標題:	Signal, Image and Speech Processing.
標題:	Communications Engineering, Networks.
標題:	Multimedia Information Systems.
ISBN:	9783319098616 (electronic bk.)
ISBN:	9783319098609 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-09861-6

Multimodal location estimation of videos and images[electronic resource] /
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:

441443
Location-based services.

LC Class. No.: TK5105.65

Dewey Class. No.: 006.6

Multimodal location estimation of videos and images[electronic resource] /
LDR:02546nam a2200337 a 4500 001 424942
003 DE-He213
005 20150617110751.0
006 m d
007 cr nn 008maaau
008 151119s2015 gw s 0 eng d
020 $a 9783319098616 (electronic bk.)
020 $a 9783319098609 (paper)
024 7 $a 10.1007/978-3-319-09861-6 $2 doi
035 $a 978-3-319-09861-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.65
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 006.6 $2 23
090 $a TK5105.65 $b .M961 2015
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 441443
650 0 $a Image processing $x Digital techniques. $3 365611
650 0 $a Multimedia systems. $3 177616
650 1 4 $a Engineering. $3 372756
650 2 4 $a Signal, Image and Speech Processing. $3 463860
650 2 4 $a Communications Engineering, Networks. $3 463863
650 2 4 $a Multimedia Information Systems. $3 464750
700 1 $a Choi, Jaeyoung. $3 603303
700 1 $a Friedland, Gerald. $3 603304
710 2 $a SpringerLink (Online service) $3 463450
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)