國立虎尾科技大學 |

Multimodal Location Estimation of Videos and Images

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multimodal Location Estimation of Videos and Images/ edited by Jaeyoung Choi, Gerald Friedland.
other author:	Choi, Jaeyoung.
Description:	XII, 191 p. 80 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Signal processing. -
Online resource:	https://doi.org/10.1007/978-3-319-09861-6
ISBN:	9783319098616

Multimodal Location Estimation of Videos and Images
Multimodal Location Estimation of Videos and Images[electronic resource] /edited by Jaeyoung Choi, Gerald Friedland. - 1st ed. 2015. - XII, 191 p. 80 illus. in color.online resource.

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

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

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Multimodal Location Estimation of Videos and Images
LDR:02996nam a22004215i 4500 001 960134
003 DE-He213
005 20200706212449.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319098616 $9 978-3-319-09861-6
024 7 $a 10.1007/978-3-319-09861-6 $2 doi
035 $a 978-3-319-09861-6
050 4 $a TK5102.9
050 4 $a TA1637-1638
072 7 $a TTBM $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TTBM $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
245 1 0 $a Multimodal Location Estimation of Videos and Images $h [electronic resource] / $c edited by Jaeyoung Choi, Gerald Friedland.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a XII, 191 p. 80 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Electrical engineering. $3 596380
650 0 $a Multimedia information systems. $3 1115395
650 1 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Multimedia Information Systems. $3 669810
700 1 $a Choi, Jaeyoung. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1063300
700 1 $a Friedland, Gerald. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1063301
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319098609
776 0 8 $i Printed edition: $z 9783319098623
776 0 8 $i Printed edition: $z 9783319345291
856 4 0 $u https://doi.org/10.1007/978-3-319-09861-6
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)