3D Video Coding for Embedded Devices [[electronic resource] ] : Energy Efficient Algorithms and Architectures / / by Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel

• Record Nr.: UNINA9910739446903321
• Autore: Zatt Bruno
• Pubbl/distr/stampa: New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
• ISBN: 1-4614-6759-4
• Edizione: [1st ed. 2013.]
• Descrizione fisica: 1 online resource (219 p.)
• Disciplina: 004.1; 006.22; 620; 621.381
• Soggetti: Electronic circuits; Electronics; Microelectronics; Microprocessors; Circuits and Systems; Electronics and Microelectronics, Instrumentation; Processor Architectures
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Introduction -- Background and Related Work -- Multiview Video Coding Analysis for Energy and Quality -- Energy-Effiecient Algorithms for Multiview Video Coding -- Energy-Efficient Architectures for Multiview Video Coding -- Results and Comparison -- Conclusion and future Works.
• Sommario/riassunto: 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. · Discusses challenges related to performance and power in 3D video coding for embedded devices; · Describes energy-efficient algorithms for reducing computational complexity at multiple hierarchical levels; · Presents energy-efficient hardware architectures along with methods for reducing on-chip and off-chip energy related to both data processing and memory access; · Shows how to leverage jointly the algorithm and hardware architecture layers of the system.