Authenticating image metadata elements using geolocation information and sun direction estimation

Image metadata provides useful information for applications such as image retrieval, content description and geolocation. However, it is relatively easy to tamper with this data using metadata manipulation tools. In this paper, we address the issue of authenticating the time of capture of an image b...

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Main Authors: Sudha, N., Kakar, Pravin
Other Authors: IEEE International Conference on Multimedia and Expo (2012 : Melbourne, Australia)
Format: Conference or Workshop Item
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/99151
http://hdl.handle.net/10220/12949
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-991512020-03-07T12:48:41Z Authenticating image metadata elements using geolocation information and sun direction estimation Sudha, N. Kakar, Pravin IEEE International Conference on Multimedia and Expo (2012 : Melbourne, Australia) Image metadata provides useful information for applications such as image retrieval, content description and geolocation. However, it is relatively easy to tamper with this data using metadata manipulation tools. In this paper, we address the issue of authenticating the time of capture of an image based on its geolocation information. By utilizing a novel two-stage shadow detection process, we are able to estimate the azimuthal direction of the sun in an image and compare it against a calculated theoretical value to establish the authenticity of the time of capture. Results are provided which show that our technique is able to estimate the sun azimuth, and thereby the time of capture, with good accuracy. Additional results pertaining to date verification and camera direction estimation are also provided. 2013-08-02T07:27:44Z 2019-12-06T20:03:54Z 2013-08-02T07:27:44Z 2019-12-06T20:03:54Z 2012 2012 Conference Paper https://hdl.handle.net/10356/99151 http://hdl.handle.net/10220/12949 10.1109/ICME.2012.82 en
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description Image metadata provides useful information for applications such as image retrieval, content description and geolocation. However, it is relatively easy to tamper with this data using metadata manipulation tools. In this paper, we address the issue of authenticating the time of capture of an image based on its geolocation information. By utilizing a novel two-stage shadow detection process, we are able to estimate the azimuthal direction of the sun in an image and compare it against a calculated theoretical value to establish the authenticity of the time of capture. Results are provided which show that our technique is able to estimate the sun azimuth, and thereby the time of capture, with good accuracy. Additional results pertaining to date verification and camera direction estimation are also provided.
author2 IEEE International Conference on Multimedia and Expo (2012 : Melbourne, Australia)
author_facet IEEE International Conference on Multimedia and Expo (2012 : Melbourne, Australia)
Sudha, N.
Kakar, Pravin
format Conference or Workshop Item
author Sudha, N.
Kakar, Pravin
spellingShingle Sudha, N.
Kakar, Pravin
Authenticating image metadata elements using geolocation information and sun direction estimation
author_sort Sudha, N.
title Authenticating image metadata elements using geolocation information and sun direction estimation
title_short Authenticating image metadata elements using geolocation information and sun direction estimation
title_full Authenticating image metadata elements using geolocation information and sun direction estimation
title_fullStr Authenticating image metadata elements using geolocation information and sun direction estimation
title_full_unstemmed Authenticating image metadata elements using geolocation information and sun direction estimation
title_sort authenticating image metadata elements using geolocation information and sun direction estimation
publishDate 2013
url https://hdl.handle.net/10356/99151
http://hdl.handle.net/10220/12949
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