710510BAFTA VIDAS: Video De-duplication and Similarity AssessmentClosedGRD Proof of ConceptInnovate UKThe VIDAS project investigates the feasibility of using visual quality metrics to assess content similarity in an automated manner. This has several applications, including: piracy detection (which could include the automation of take-down notices), de-duplication of stored files, version detection, malicious or sensitive content detection, and ‘pre-flight’ inspection of materials for digitization or re-mastering. The project builds on a successful earlier TSBsupported BAFTA-UCL project (VQ-INDEX), which innovated a new mechanism for assessing visual quality in comparison with an original source. The VIDAS project will reverse this paradigm, and (with the addition of correlators, scene-cut and video resolution detectors), determine whether discovered content was derived from or is similar to a copyright holder’s original. The objective during the proof of concept study is to: a) investigate the feasibility of applying the approach of using visual quality metrics for similarity identification, and b) confirming the technology can be used to address key market requirements across a range of digital assets and requirements. Overall, this provides significant automation to processes currently performed by human viewers.