Multiple view scalability of presentations distributed to heterogeneous devices

We present a novel approach of distributing video lectures by capturing multiple regions of interest from a high definition camera and then distributing via a peer-to-peer network to participants' viewing devices. We show this approach is scalable and supports a broader range of viewing devices for participants. Our approach is more flexible than relying on a traditional camera operator to capture a single high bandwidth video stream. In addition, the solution supports a more active learning and inclusive environment by enabling views of additional streams such as audio captioning, video descriptions or optical character recognition of overheads and whiteboards for sensory disabled participants using personal devices.