Implementation of Multi-Format EXIF Metadata Extraction from Images

The extraction of EXIF (Exchangeable Image File Format) metadata, which provides information about the aspects of data in digital camera images, is essential in various applications such as geolocation, privacy protection protocols, and cyber analysis. This project presents a novel approach using Python with the ‘piexif’ and ‘pyheif’ libraries, which support the extraction of metadata from diverse image formats such as JPG, JPEG, and HEIC. Using these libraries, to effortlessly retrieve date, time, and GPS coordinates, and finally link these geo-coordinates to Maps in a speedy and flexible manner working across any platforms and environments. Our project demonstrates a lightweight, efficient solution without the overhead of too many modules.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/icdcc62744.2024.10961287
Citations
1
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.25
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article

Implementation of Multi-Format EXIF Metadata Extraction from Images

Sri Harini, S. Kalaimagal, Aakash Udayakumar, D Keerthi et al.
1 citations
Image Processing and 3D Reconstruction
0.25
article

Implementation of Multi-Format EXIF Metadata Extraction from Images

Sri Harini, S. Kalaimagal, Aakash Udayakumar, D Keerthi, Madhumitha Seshaiah
article en
1 citations

Abstract

The extraction of EXIF (Exchangeable Image File Format) metadata, which provides information about the aspects of data in digital camera images, is essential in various applications such as geolocation, privacy protection protocols, and cyber analysis. This project presents a novel approach using Python with the ‘piexif’ and ‘pyheif’ libraries, which support the extraction of metadata from diverse image formats such as JPG, JPEG, and HEIC. Using these libraries, to effortlessly retrieve date, time, and GPS coordinates, and finally link these geo-coordinates to Maps in a speedy and flexible manner working across any platforms and environments. Our project demonstrates a lightweight, efficient solution without the overhead of too many modules.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
Openalex Percentile: Top 41%
Image Processing and 3D Reconstruction
0.25
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