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010   $a3-319-09861-6
024 7 $a10.1007/978-3-319-09861-6
035   $a(CKB)3710000000251907
035   $a(EBL)1965288
035   $a(OCoLC)892969343
035   $a(SSID)ssj0001372492
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035   $a(PQKBTitleCode)TC0001372492
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035   $a(DE-He213)978-3-319-09861-6
035   $a(MiAaPQ)EBC1965288
035   $a(PPN)182094065
035   $a(EXLCZ)993710000000251907
100   $a20141004d2015      u|             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aMultimodal Location Estimation of Videos and Images$b[electronic resource] /$fedited by Jaeyoung Choi, Gerald Friedland
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (199 p.)
300   $aDescription based upon print version of record.
311   $a3-319-09860-8 
320   $aIncludes bibliographical references.
327   $aIntroduction -- 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.
330   $aThis 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.
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aElectrical engineering
606   $aMultimedia information systems
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
606   $aMultimedia Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I18059
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aElectrical engineering.
615  0$aMultimedia information systems.
615 14$aSignal, Image and Speech Processing.
615 24$aCommunications Engineering, Networks.
615 24$aMultimedia Information Systems.
676   $a006.7
676   $a620
676   $a621.382
702   $aChoi$b Jaeyoung$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aFriedland$b Gerald$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910299843103321
996   $aMultimodal Location Estimation of Videos and Images$91465800
997   $aUNINA