Blind and visually impaired (BVI) individuals are increasingly creating visual content online; however, there is a lack of tools that allow these individuals to modify the visual attributes of the content and verify the validity of those modifications. In this poster paper, we discuss the design and preliminary exploration of a multi-modal and accessible approach for BVI developers to edit visual layouts of webpages while maintaining visual aesthetics.

Live sports broadcast is seeing a large increase in the number of cameras used for filming. More cameras can provide better coverage of the field and a wider range of experiences for viewers. However, choosing optimal cameras for broadcast demands a high level of concentration, awareness and experience from sports broadcast directors. We present an automatic assistant to help select likely candidates from a large array of possible cameras. Sports directors can then choose the final broadcast camera from the reduced suggestion set. Our assistant uses both widely acknowledged cinematography guidelines for sports directing, as well as a data-driven approach that learns specific styles from directors.

A class of techniques in computer vision and graphics is based on capturing multiple images of a scene under different illumination conditions. These techniques explore variations in illumination from image to image to extract interesting information about the scene. However, their applicability to dynamic environments is limited due to the need for robust motion compensation algorithms. To overcome this issue, we propose a method to separate multiple illuminants from a single image. Given an image of a scene simultaneously illuminated by multiple light sources, our method generates individual images as if they had been illuminated by each of the light sources separately. To facilitate the illumination separation process, we encode each light source with a distinct sinusoidal pattern, strategically selected given the relative position of each light with respect to the camera, such that the observed sinusoids become independent of the scene geometry. The individual illuminants are then demultiplexed by analyzing local frequencies. We show applications of our approach in image-based relighting, photometric stereo, and multiflash imaging.

Stereoscopic 3D has gained significant importance in the entertainment industry. However, production of high quality stereoscopic content is still a challenging art that requires mastering the complex interplay of human perception, 3D display properties, and artistic intent. In this paper, we present a computational stereo camera system that closes the control loop from capture and analysis to automatic adjustment of physical parameters. Intuitive interaction metaphors are developed that replace cumbersome handling of rig parameters using a touch screen interface with 3D visualization. Our system is designed to make stereoscopic 3D production as easy, intuitive, flexible, and reliable as possible. Captured signals are processed and analyzed in real-time on a stream processor. Stereoscopy and user settings define programmable control functionalities, which are executed in real-time on a control processor. Computational power and flexibility is enabled by a dedicated software and hardware architecture. We show that even traditionally difficult shots can be easily captured using our system.