NDLI: Identification of scene locations from geotagged images

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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 10

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 9

Issue 1s(Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012), October 2013

Issue 3, June 2013

Issue 2, May 2013

Issue 1, February 2013

Procedural content generation for games: A survey

Image retrieval with query-adaptive hashing

GPSView: A scenic driving route planner

SIFT match verification by geometric coding for large-scale partial-duplicate web image search

Identification of scene locations from geotagged images

Region- and action-aware virtual world clients

Spider: A system for finding 3D video copies

Web-accessible geographic integration and calibration of webcams

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 8

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 7

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 7S

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 6

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 5

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 4

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 3

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 2

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 1

Identification of scene locations from geotagged images

Content Provider	ACM Digital Library
Author	Jain, Ramesh Park, Jong-Seung
Copyright Year	2013
Abstract	Due to geotagging capabilities of consumer cameras, it has become easy to capture the exact geometric location where a picture is taken. However, the location is not the whereabouts of the scene taken by the photographer but the whereabouts of the photographer himself. To determine the actual location of an object seen in a photo some sophisticated and tiresome steps are required on a special camera rig, which are generally not available in common digital cameras. This article proposes a novel method to determine the geometric location corresponding to a specific image pixel. A new technique of stereo triangulation is introduced to compute the relative depth of a pixel position. Geographical metadata embedded in images are utilized to convert relative depths to absolute coordinates. When a geographic database is available we can also infer the semantically meaningful description of a scene object from where the specified pixel is projected onto the photo. Experimental results demonstrate the effectiveness of the proposed approach in accurately identifying actual locations.
Starting Page	1
Ending Page	23
Page Count	23
File Format	PDF
ISSN	15516857
e-ISSN	15516865
DOI	10.1145/2422956.2422961
Volume Number	9
Issue Number	1
Journal	ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-02-19
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Visual context Geotag Image metadata Stereo vision
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture Computer Networks and Communications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Correspondence-free stereo vision: extension from planar scene case to polyhedral scene case

Quasi-Euclidean epipolar rectification of uncalibrated images

Multi-object segmentation by stereo mismatch

Embedded planar surface segmentation system for stereo images

Inferring photographic location using geotagged web images

Improve scene categorization via sub-scene recognition

Dynamic objects detection through visual odometry and stereo-vision: a study of inaccuracy and improvement sources

Unsupervised scene segmentation using sparse coding context

Efficient large-scale multi-view stereo for ultra high-resolution image sets

Identification of scene locations from geotagged images

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Correspondence-free stereo vision: extension from planar scene case to polyhedral scene case

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