Title :
Enhancing and experiencing spacetime resolution with videos and stills
Author :
Gupta, Ankit ; Bhat, Pravin ; Dontcheva, Mira ; Deussen, Oliver ; Curless, Brian ; Cohen, Michael
Abstract :
We present solutions for enhancing the spatial and/or temporal resolution of videos. Our algorithm targets the emerging consumer-level hybrid cameras that can simultaneously capture video and high-resolution stills. Our technique produces a high spacetime resolution video using the high-resolution stills for rendering and the low-resolution video to guide the reconstruction and the rendering process. Our framework integrates and extends two existing algorithms, namely a high-quality optical flow algorithm and a high-quality image-based-rendering algorithm. The framework enables a variety of applications that were previously unavailable to the amateur user, such as the ability to (1) automatically create videos with high spatiotemporal resolution, and (2) shift a high-resolution still to nearby points in time to better capture a missed event.
Keywords :
cameras; image reconstruction; image resolution; image sequences; rendering (computer graphics); consumer-level hybrid cameras; high-quality image-based-rendering algorithm; high-quality optical flow algorithm; high-resolution stills; low-resolution video; spacetime resolution; video temporal resolution; Cameras; Image reconstruction; Optical imaging; Pixel; Spatial resolution; Videos;
Conference_Titel :
Computational Photography (ICCP), 2009 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-4534-9
Electronic_ISBN :
978-1-4244-4533-2
DOI :
10.1109/ICCPHOT.2009.5559006