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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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 |
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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. |
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IEEE International Conference on Multimedia and Expo (2012 : Melbourne, Australia) |
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IEEE International Conference on Multimedia and Expo (2012 : Melbourne, Australia) Sudha, N. Kakar, Pravin |
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Conference or Workshop Item |
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Sudha, N. Kakar, Pravin |
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Sudha, N. Kakar, Pravin Authenticating image metadata elements using geolocation information and sun direction estimation |
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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 |
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https://hdl.handle.net/10356/99151 http://hdl.handle.net/10220/12949 |
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