Title :
Motion blur adaptive Rate Control
Author_Institution :
Qualcomm Inc., San Diego, CA, USA
Abstract :
In this paper, a new Rate Control (RC) algorithm is proposed to improve perceptual quality using motion blur estimation. The blurriness of captured video frames is estimated from a global motion vector, encoding frame rate and exposure time. For given blurriness of frames, the proposed RC algorithm reallocates coding bits between blurry frames and sharp frames. From the experimental results, the proposed RC algorithm achieves much higher quality after a motion blur region and similar quality in a motion blur region comparing to the RC algorithm in the JM reference software model.
Keywords :
motion control; motion estimation; JM reference software model; encoding frame rate; exposure time; global motion vector; motion blur adaptive rate control; motion blur estimation; Cameras; Encoding; Motion estimation; Quantization; Signal processing algorithms; Software; Software algorithms;
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-9722-5
DOI :
10.1109/ACSSC.2010.5757593