The motion vector prediction (MVP) is an important part of video coding. There have been numerous workings on the
topic done by researchers before. In this paper, a continue study on MVP of video coding based on the workings of
predecessors is made. The video sequences with various motion characteristics are further investigated. The
characteristics of motion vectors of objects in video scenes are discussed briefly. Then, summarizing these
characteristics, two MVP schemes for a new coding standard, Audio and Video Standard (AVS), are proposed. In these
schemes, current block's MV can be predicted based on statistical correlation of MVs of spatial contiguous neighbor
blocks. A correlation criterion is employed to measure how correlated between two MVs. With the correlation criterion,
the correlated MVs of neighbor blocks are determined. Then, the predicted MV of current block can be obtained with
some simple algebraic operations on determined MVs. The two proposed schemes, as the alternative ones of median
predictor, are suitable for different video sequences with different motion characteristics, respectively. The experimental
results show that the bit rate savings are achieved with these schemes in most of typical video sequences, compared with
the median predictor implemented in AVS.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.