KEYWORDS: Computer programming, Motion estimation, Video coding, Quantization, Video, Distortion, Algorithm development, Video compression, Digital filtering, Semantic video
The new video coding standard H.264/AVC employs the rate-distortion optimization (RDO) method for choosing the
best coding mode. However, since it increases the encoder complexity tremendously, it is not suitable for real-time
applications, such as IPTV broadcasting services. Therefore we need a fast mode decision algorithm to reduce its
encoding time. In this paper, we propose a fast mode decision algorithm considering quantization parameter (QP)
because we have noticed that the frequency of best modes depends on QP. In order to consider these characteristics, we
use the coded block pattern (CBP) that has "0" value when all quantized discrete cosine transform (DCT) coefficients are
zero. We also use both the early SKIP mode and early 16x16 mode decisions. Experimental results show that the
proposed algorithm reduces the encoding time by 74.6% for the baseline profile and 72.8% for the main profile,
compared to the H.264/AVC reference software.
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.