Forensic Audio, Video and Image Analysis

Module 16 hrs3 topics

Foundations: Digital Media and the Forensic Frame

The physical and mathematical basis of digital images, video, and audio, and the principles that allow these media to be analysed as evidence. Establishes what a digital media file actually is before authentication questions are asked.

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Digital Image Fundamentals: Pixels, Sensors, and FormatsEvery digital image is a grid of numbers shaped by the sensor that captured it, the demosaicing algorithm that filled in the gaps, and the format that compressed and stored the result. Those choices leave forensically exploitable signatures in every file.13 min13 min
Video and Audio File Structures: Containers, Codecs, and CompressionVideo and audio files are two-layer structures: a container that organises tracks and timing, and a codec that compresses the actual media data. The interaction between these layers creates characteristic artefacts that forensic examiners use to detect re-encoding, reconstruct timelines, and identify source devices.13 min13 min
Metadata, EXIF, and File-Structure ForensicsEvery digital media file carries structured metadata alongside its pixel or sample data. EXIF, IPTC, XMP, and format-specific structures like MP4 atom hierarchies and WAV RIFF chunks encode timestamps, device identifiers, and editing history that can corroborate or contradict a file's claimed origin.15 min15 min

Module 26 hrs5 topics

Image Authentication and Forgery Detection

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Methods for determining whether a digital image is an authentic, unaltered record or has been manipulated. Covers the main classes of forgery and the signal-level techniques used to detect them.

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Module 36 hrs3 topics

Source Camera Identification: PRNU

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Photo-Response Non-Uniformity noise as a sensor fingerprint. Covers the physics of PRNU, methods for extracting and comparing camera patterns, and the statistical framework for reaching evidential conclusions.

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Module 46 hrs4 topics

Deepfake and AI-Generated Media Detection

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Detection of synthetic media produced by generative AI: face swaps, full face synthesis, voice cloning, and generative image models. Covers the generation mechanisms, current detection methods, and the limitations of the field.

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Module 56 hrs3 topics

Image Enhancement and Photogrammetry

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Scientific limits of image enhancement, and how geometric information in images can be extracted to produce measurements of real-world dimensions, height, distance, and position.

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Module 66 hrs3 topics

CCTV, DVR, and Video Analysis

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Acquisition, authentication, and analysis of video evidence from CCTV systems and digital video recorders. Covers the technical characteristics of surveillance systems that affect evidential quality and the methods used to analyse footage.

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Module 76 hrs2 topics

Facial Image Comparison

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Methods for comparing faces in CCTV and other images with known reference photographs. Covers morphological analysis, the role and limits of automated recognition, and the standards governing expert facial comparison evidence.

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Module 86 hrs4 topics

Audio Forensics: Authentication and Enhancement

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Methods for authenticating audio recordings and enhancing speech intelligibility, including the Electric Network Frequency method as a powerful time-stamping tool.

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Module 96 hrs2 topics

Steganography and Hidden-Data Detection

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Detection and extraction of information concealed within digital media files. Covers spatial and frequency-domain steganography methods, steganalysis techniques, and the investigative context in which hidden data appears.

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Module 106 hrs3 topics

Standards, Chain of Custody, and Court Presentation

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The procedural and legal framework governing media evidence: SWGDE and SWGIT guidelines, chain-of-custody requirements, report writing, and the admissibility of multimedia evidence in different legal systems.

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Your journey to becoming a forensic professional starts here.

Forensic Audio, Video and Image Analysis

Forensic Audio, Video and Image Analysis