This book shows readers how to develop energy-efficient algorithms and hardware architectures to enable high-definition 3D video coding on resource-constrained embedded devices. Users of the Multiview Video Coding (MVC) standard face the challenge of exploiting its 3D video-specific coding tools for increasing compression efficiency at the cost of increasing computational complexity and, consequently, the energy consumption. This book enables readers to reduce the multiview video coding energy consumption through jointly considering the algorithmic and architectural levels. Coverage includes an introduction to 3D videos and an extensive discussion of the current state-of-the-art of 3D video coding, as well as energy-efficient algorithms for 3D video coding and energy-efficient hardware architecture for 3D video coding.... GHz Main memory 3.25 GB DDR2 Operational system Windows XP SP2 Mobile device for battery-aware experiments Device HP Pavillion DV6000 Series Processor Intel Core-2 Duo T5500anbsp;...
|Title||:||3D Video Coding for Embedded Devices|
|Author||:||Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel|
|Publisher||:||Springer Science & Business Media - 2014-07-08|