LEADER 00000nam a2200505 i 4500 
001    978-3-319-09861-6 
003    DE-He213 
005    20150617110751.0 
006    m     o  d         
007    cr nn 008maaau 
008    141004s2015    gw      s         0 eng d 
020    9783319098616 (electronic bk.) 
020    9783319098609 (paper) 
024 7  10.1007/978-3-319-09861-6|2doi 
040    GP|cGP|erda|dAS 
041 0  eng 
050  4 TK5105.65 
082 04 006.6|223 
245 00 Multimodal location estimation of videos and images /
       |cedited by Jaeyoung Choi, Gerald Friedland 
264  1 Cham :|bSpringer International Publishing :|bImprint: 
       Springer,|c2015 
300    1 online resource (xii, 191 pages) :|billustrations, 
       digital ;|c24 cm 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|bPDF|2rda 
505 0  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    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 
590    Springer 
650  0 Location-based services 
650  0 Image processing|xDigital techniques 
650  0 Multimedia systems 
650 14 Engineering 
650 24 Signal, Image and Speech Processing 
650 24 Communications Engineering, Networks 
650 24 Multimedia Information Systems 
700 1  Choi, Jaeyoung,|eeditor 
700 1  Friedland, Gerald,|eeditor 
710 2  SpringerLink (Online service) 
773 0  |tSpringer eBooks 
856 40 |uhttp://dx.doi.org/10.1007/978-3-319-09861-6
       |zeBook(Springerlink)