The volume of UGC and social-media video is enormous, however, the number of high-quality or broadcast quality material is only a small portion of the original set. In COGNITUS, algorithms that can measure the quality of media in terms of its visual aesthetics and attention are developed. These metrics are closer to the human perception of media than Mean Square Error (MSE) or Peak Signal-to-Noise Ratio (PSNR) metrics. Thus, aesthetic and attention metrics become fundamental tools to the professionals so as to first filter content that has little interest in terms of perceived quality. These QoE metrics include attention (focus, faces, faces area, smiles, saliency, focus difference, motion magnitude) and aesthetics (colour moments, colour ratio, luminance, luminance standard deviation, edges strength, edges orientation, colour diversity, rule of thirds, foreground area, entropy, shakiness, shadow area, camera movement).
COGNITUS provides the tools that automatically inspect the visual quality of such videos and selects which low quality videos can be removed. Such tools become a critical resource for many media professionals who are guided by QoE.
Addressing target audiences and expressing needs
- Expanding to more markets /finding new customers
We are looking for new avenues to utilise our innovations
- Public or private funding institutions
- Other Actors who can help us fulfil our market potential
- Research and Technology Organisations
- Private Investors
R&D, Technology and Innovation aspects
The technology is near production ready. BBC in the UK and at FORTHNET in Greece have successfully trialled installations. Deployments were launched at high profile cultural entertainment and sports events across both countries. UGC video content was captured, enhanced and enriched by the COGNITUS technology components, and validation was provided by UGC contributors and producers.
