51,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
26 °P sammeln
  • Broschiertes Buch

Due to the fast growth in multimedia applications including transport of video over limited bandwidth capacity and error-prone networks (such as the Internet and wireless networks), a high degree of flexibility from video compression systems has become necessary. Scalable video coding is a popular technology for providing an efficient representation of video and a robust method of transmitting video over a heterogeneous environment. However, although several scalable coding algorithms have been proposed in the literature and the international standards over the past decade, these schemes can…mehr

Produktbeschreibung
Due to the fast growth in multimedia applications
including transport of video over limited bandwidth
capacity and error-prone networks (such as the
Internet and wireless networks), a high degree of
flexibility from video compression systems has
become necessary. Scalable video coding is a popular
technology for providing an efficient representation
of video and a robust method of transmitting video
over a heterogeneous environment. However, although
several scalable coding algorithms have been
proposed in the literature and the international
standards over the past decade, these schemes can
accommodate relatively limited decoding flexibility
at a significant loss in compression efficiency.
Therefore, this book aims to address two issues
related to scalable video coding. These are: i) how
to reduce the bit rate overhead associated with the
existing scalable schemes, especially video coding
standards, and ii) to develop a highly scalable
coding system. To achieve these goals, a new-layered
video coding scheme based on MC-DCT pyramid is
proposed. The proposed scheme should be especially
useful to professionals in the field of Video Coding
and Communications.
Autorenporträt
Randa Atta, PhD in Video Coding technology, University of Essex, UK, is an Assistant Professor at the Department of Electrical Engineering, Suez Canal University, Egypt.Mohammad Ghanbari, PhD, FIEEE is a Professor of Video Networking, in the School of Computer Science and Electronic Engineering, University of Essex, UK.