Digital forensics in multimedia focuses on the acquisition, analysis, and interpretation of digital evidence from multimedia sources such as images, audio, and videos to ensure authenticity, integrity, and reliability. Research in this field explores areas like multimedia forgery detection, deepfake identification, metadata extraction, steganalysis, and source device identification. Other emerging topics include the application of machine learning and blockchain for secure forensic evidence management, privacy-preserving forensic analysis, tampering localization, and compression artifact analysis. Furthermore, the integration of AI-driven models for automated evidence validation, cross-platform forensic investigation, and the development of robust watermarking and authentication frameworks are also significant areas of investigation in modern multimedia digital forensics.