Camera Observa2017-2018

In the modern, fast-paced news environment where video is in high demand, it is essential to capture high-quality video quickly and easily. Even for professional news teams, consistently producing high-quality footage is a major challenge. Yet it is essential to get a satisfactory first capture due to the ephemeral nature of news. Camera Observa proposes using a 360° camera technology to capture the context of the scene (such as lighting) to help reduce the many burdens of capturing video. Led by Jane E and Ohad Fried at Stanford Computer Science, the Camera Observa platform will provide in-camera feedback on quality of lighting in a video frame and suggest orientations of the subject to achieve various image styles; capture important interactions happening off-camera; and record additional B-roll.

The Team