Title :
Selection of Long-Term Reference Frames in Dual-Frame Video Coding Using Simulated Annealing
Author :
Tiwari, Mayank ; Cosman, Pamela C.
Author_Institution :
Univ. of California at San Diego, La Jolla
fDate :
6/30/1905 12:00:00 AM
Abstract :
In dual-frame video coding, both encoder and decoder store a short-term reference (STR) and a long-term reference (LTR) frame for motion compensation. In past work, LTR frames at regular intervals were assigned higher quality than the other frames to improve overall video quality. In this letter, we present a method of LTR frame selection using simulated annealing, and we show that PSNR is improved compared to the case of evenly spaced LTR frames. To reduce delay and computational complexity, we consider a constraint on the size of the look-ahead window.
Keywords :
computational complexity; decoding; motion compensation; simulated annealing; video coding; computational complexity; decoder store; dual-frame video coding; encoder store; long-term reference frame; long-term reference frames selection; motion compensation; short-term reference frame; simulated annealing; video quality; Computational complexity; Computational modeling; Decoding; Delay; Encoding; Motion compensation; PSNR; Simulated annealing; Video coding; Video compression; Dual-frame video coding; long-term reference frame; simulated annealing; video compression;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2007.914928