Thursday, 11 August 9:00 am - 10:30 am | East Building, Exhibit Hall A
Session Chair: Wolfgang Heidrich, The University of British Columbia
Image and Video Upscaling From Local Self-Examples
A new, high-quality, and efficient single-image upscaling method that exploits local self-similarities in the data and reduces search time. The method is implemented using novel non-dyadic filter banks that allow real-time processing when converting low-resolution video formats into HD standards.
Gilad Feedman
Hebrew University
Raanan Fattal
Hebrew University
Scalable and Coherent Video Resizing With Per-Frame Optimization
A scalable and temporal coherent video retargeting method that factors the problem into spatial and motion components. The sub-problem sizes are proportional to a frame resolution, and they can be solved in parallel. The system dramatically reduces computational time and memory consumption without compromising quality.
Yu-Shuen Wang
National Chiao Tung University
Jen-Hung Hsiao
National Cheng Kung University
Olga Sorkine
New York University and ETH Zürich
Tong-Yee Lee
National Cheng Kung University
Subspace Video Stabilization
A robust and efficient approach to video stabilization that achieves high-quality camera motion for a wide range of videos and is sufficiently practical for consumer applications.
Feng Liu
Portland State University
Michael Gleicher
University of Wisconsin-Madison
Jue Wang
Adobe Systems Incorporated
Hailin Jin
Adobe Systems Incorporated
Aseem Agarwala
Adobe Systems Incorporated
Tonal Stabilization of Video
This paper presents a method for reducing undesirable tonal fluctuations in video: minute changes in tonal characteristics, such as exposure, color temperature, brightness, and contrast in a sequence of frames. These distracting fluctuations are typically caused by the camera's automatic setting adjustment.
Zeev Farbman