Monitoring of Audiovisual Quality by Key Indicators (MOAVI)

Automating quality checking is currently based on finding major video and audio artefacts. The processing is performed on the video and audio signal and/or the transmitted bitstream. The Monitoring Of Audiovisual quality by key Indicators (MOAVI) subgroup of the Video Quality Experts Group (VQEG) is an open collaborative project for developing no-reference models for monitoring audiovisual service quality. MOAVI is a complementary, industry-driven alternative to Quality of Experience (QoE) used to automatically measure audiovisual quality by using simple indicators of perceived degradation. The goal is to develop a set of key indicators (including blocking effects, blurring effects, freeze/jerkiness effects, ghosting effects, slice video stripe errors, aspect ratio problems, field order problems, photosensitive epilepsy flashing effects, silence, and clipping) describing service quality in general (the list is not closed, but the major artefacts are presented), and to select subsets for each potential application. Therefore, the MOAVI project concentrates on models based on key indicators contrary to models predicting overall quality. The main motivation of this approach is to overcome the limitations of current models predicting overall quality in real world applications. As the MOAVI project is at the beginning, it first focuses mainly on video quality. Measurements can be applicable according to the availability of access points along the video chain (video head-end, server of content delivery, terminal, encrypted or not).