The examination process and workflow learned in this course will provide attendees with advanced examination skills and a greater understanding of the embedded metadata within video evidence files (at the frame level).
This hands-on, 40-hour advanced course covers case law, forensic video analysis, and legal issues related to digital CCTV. Limited to 15 students, it includes processing video evidence, writing reports, and a moot court presentation. Grading is based on practicals, a written exam, and the moot court.
The increased use of digital video systems by the general public has made digital multimedia evidence (DME) a significant and integral part of modern criminal and civil investigations. Since there is no standard video recording system in use, the need for trained individuals who know how to properly recover this type of evidence has increased. Properly acquiring DME is crucial, as all other processes or use of the video is impacted by accuracy of the recovery. This course introduces and provides a fundamental understanding of DME, introduces the types of systems likely to be encountered, discusses legal issues related to DME, and focuses on the proper recovery of DME.
This three-day seminar is designed for expert witnesses or expert witnesses in training in any field of expertise. Even though this event is being sponsored by LEVA, it is not limited to forensic video analysis.
Students will gain a basic understanding of digital and cloud-based recording systems law enforcement officers, agents of the government, or private sector investigators are likely to encounter. Provide skills to recover the video in a sound manner and make use of the video they recover. The class will also make the student aware of concerns in digital video, sources of information/knowledge, and further training.
The increased use of digital video systems by the general public has made digital multimedia evidence (DME) a significant and integral part of modern criminal and civil investigations. Since there is no standard video recording system in use, the need for trained individuals who know how to properly recover this type of evidence has increased. Properly acquiring DME is crucial, as all other processes or use of the video is impacted by accuracy of the recovery. This course introduces and provides a fundamental understanding of DME, introduces the types of systems likely to be encountered, discusses legal issues related to DME, and focuses on the proper recovery of DME.
The public expectation today is that if a crime occurs, there will be video/audio of the incident. There is a significant, specific skill set that investigators need to properly handle and process the digital multimedia evidence that gets collected. If the DME is not handled and processed carefully, according to best practices, the video/audio might not be interpreted accurately. This course exposes students to more advanced theory and hands-on techniques that conform to the Best Practices for the Acquisition and Processing of Digital Multimedia Evidence (DME).
Students will learn how to improve audio recording issues with currently available software tools, including an in depth review of the iZotope RX software features and processes. Attendees will also receive information on forensic audio reference resources.
The examination process and workflow learned in this course will provide attendees with advanced examination skills and a greater understanding of the embedded metadata within video evidence files (at the frame level). Using this information to produce accurate observations or calculations based on the file’s header information will result in a more thorough report and/or presentation and is also relevant information that can be provided to other experts who are untrained in video examination yet rely on video evidence in their field of expertise (i.e., accident reconstruction, use-of-force experts, biomechanical experts, etc.).
The Image and Video Authentication-200 Course is a 2-day intermediate course designed to give forensic video investigators, technicians, and analysts a foundational understanding of image/video authentication and enable them to perform basic authentication examinations of image and video evidence. Students will gain foundational knowledge of signal processing and digital data analysis necessary to effectively analyze images and videos to determine authenticity.
