Deep Learning-based Cnn Multi-modal Camera Model Identification for Video Source Identification

There is a high demand for multimedia forensics analysts to locate the original camera of photographs and videos that are being taken nowadays. has been considerable progress in technology identifying source data, which enabled conflict resolutions involving copyright infringements those responsible serious offences be resolved. This study focuses on issue model used acquire video sequences this research is, type capture sequence under investigation. For purpose, we created two distinct CNN-based recognition techniques an innovative multi-modal setting. The proposed methods combine audio visual information order address identification issue, superior mono-modal use only or from investigated provide information.According legal standards admissible evidence criminal procedure, Forensic Science involves application science aspects civil law, primarily during investigations, line with procedure law. It collecting, preserving, analyzing scientific course become critical part criminology as result rapid rise crime rates over last few decades. Our were tested well-known dataset known Vision dataset, contains about 2000 gathered various devices varying types. conducted experiments social media platforms such YouTube WhatsApp well native directly obtained their acquisition by means devices. According results study, multimodal approaches suggest they greatly outperform equivalents addressing challenge at hand, constituting effective approach offering possibility even more difficult circumstances future