For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Generalized Theoretical Modeling of Inter-Frame Prediction Error for High Frame-Rate Video Signal Considering Integral Phenomenon
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2010/08/01
Online ISSN: 1745-1337
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Signal Processing)
Category: Image Coding and Video Coding
high frame-rate sequence, motion blur, video coding, inter-frame prediction,
Full Text: PDF>>
Higher frame-rates are essential in achieving more realistic representations. Since increasing the frame-rate increases the total amount of information, efficient coding methods are required. However, the statistical properties of such data, needed for designing sufficiently powerful encoders, have not been clarified. Conventional studies on encoding high frame-rate sequences do not consider the effect on the encoding bit-rate of the motion blur generated by the shutter being open. When the open interval of the shutter in the image pickup apparatus increases, motion blur occurs, which is known as the integral phenomenon. The integral phenomenon changes the statistical properties of the video signal. This paper derives, for high frame-rate video, a mathematical model that quantifies the relationship between frame-rate and bit-rate; it incorporates the effect of the low-pass filtering induced by the open shutter. A coding experiment confirms the validity of the mathematical model.