Deciphering Livestream Contents: OCR-Driven Thumbnail Forensic Analysis

The demand for digital forensics is continually increasing in the age of AI, the Internet of Things, and social media. The increase in the usage of live streaming platforms necessitates the development of techniques to analyze Livestream content. This research introduces an approach to forensic analysis employing Optical Character Recognition (OCR) technologies. Our methodology involves the application of advanced computer vision tools and image processing techniques to extract valuable contextual information from Thumbnails. This approach is particularly relevant in cases where the original Livestream data may have been deleted or unavailable. This research aims to contribute to advancing forensic methodologies, offering insights into the untapped potential of Thumbnails in the pursuit of comprehensive digital investigations. The findings hold implications for the forensic community and broader cybersecurity efforts, as they illuminate a pathway to unraveling the mysteries concealed within deleted multimedia on the user's computer and Android mobile devices.