Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Telecommunication Systems
Erschienen in: Telecommunication Systems 1/2015

01.09.2015

DualEMC: energy efficient mobile multimedia communication with cloud

verfasst von: Yuan Zhao, Lei Zhang, Xiaoqiang Ma, Jiangchuan Liu, Hongbo Jiang

Erschienen in: Telecommunication Systems | Ausgabe 1/2015

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Video streaming has become one of the most popular networked applications and, with the increased bandwidth and computation power of mobile devices, anywhere and anytime streaming has become a reality. Unfortunately, it remains a challenging task to compress high-quality video in real-time in such devices given the excessive computation and energy demands of compression. On the other hand, transmitting the raw video is simply unaffordable from both energy and bandwidth perspective. In this paper, we propose DualEMC, a novel cloud-assisted video compression mechanism for mobile devices. DualEMC leverages the abundant cloud server resources for motion estimation (ME), which is known to be the most computation-intensive step in video compression, accounting for over 90 % of the computation time. With DualEMC, a mobile device selects and uploads only the key information of each picture frame to cloud servers for mesh-based ME, eliminating most of the local computation operations. We develop smart algorithms to identify the key mesh nodes, resulting in minimum distortion and data volume for uploading. Our simulation results demonstrate that DualEMC saves almost 30 % energy for video compression and transmission.
Vorheriger Artikel An underwater wireless group-based sensor network for marine fish farms sustainability monitoring
Nächster Artikel Dynamic scheduling with energy-efficient transmissions in hierarchical wireless sensor networks

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Altunbasak, Y., & Tekalp, A. M. (1997). Occlusion-adaptive, content-based mesh design and forward tracking. IEEE Transactions on Image Processing, 6(9), 1270–1280.CrossRef
2.
3.
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., Lee, G., Patterson, D. A., Rabkin, A., Stoica, I., et al. (2009). Above the clouds: A berkeley view of cloud computing. Technical Report UCB/EECS-2009-28, EECS Department, University of California, Berkeley.
4.
Badawy, W., & Bayoumi, M. (2002). A multiplication-free algorithm and a parallel architecture for affine transformation. The Journal of VLSI Signal Processing, 31(2), 173–184.CrossRef
5.
Badawy, W., & Bayoumi, M. A. (2002). A low power VLSI architecture for mesh-based video motion tracking. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing, 49(7), 488–504.CrossRef
6.
Bahari, A., Arslan, T., & Erdogan, A. T. (2009). Low-power H. 264 video compression architectures for mobile communication. IEEE Transactions on Circuits and Systems for Video Technology, 19(9), 1251–1261.CrossRef
7.
Balasubramanian, N., Balasubramanian, A., & Venkataramani, A. (2009). Energy consumption in mobile phones: a measurement study and implications for network applications. In Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference, (pp. 280–293).
8.
Cheng, H. P., Shen, Y. C., Wu, J. L., & Aizawa, K. (2011). High efficient distributed video coding with parallelized design for cloud computing. In Proceedings of the 19th ACM international conference on Multimedia, (pp. 1257–1260).
9.
Dudon, M., Avaro, O., & Roux, C. (1997). Triangular active mesh for motion estimation. Signal Processing Image Communication, 10, 21–41.CrossRef
10.
Huang, Z., Mei, C., Li, L. E., & Woo, T. (2011). CloudStream: Delivering high-quality streaming videos through a cloud-based SVC proxy. In INFOCOM, 2011 Proceedings IEEE, (pp. 201–205).
11.
12.
Jackson, E. S., & Peplow, R. (2003). Video Compression System for Mobile Devices. RN, 2(2).
13.
Kubasov, D., & Guillemot, C. (2006). Mesh-based motion-compensated interpolation for side information extraction in distributed video coding. IEEE International Conference on Image Processing, 2006, 261–264.
14.
Lai, Y. X., Lai, C. F., Hu, C. C., Chao, H. C., & Huang, Y. M. (2011). A personalized mobile IPTV system with seamless video reconstruction algorithm in cloud networks. International Journal of Communication Systems, 24(10), 1375–1387.CrossRef
15.
Lin, C. H., Shieh, C. K., Ke, C. H., Chilamkurti, N. K., & Zeadally, S. (2009). An adaptive cross-layer mapping algorithm for MPEG-4 video transmission over IEEE 802.11e WLAN. Telecommunication Systems, 42(3—-4), 223–234.CrossRef
16.
Liu, F., Shen, S., Li, B., Li, B., Yin, H., & Li, S. (2011). Novasky: Cinematic-quality VoD in a P2P storage cloud. INFOCOM, 2011 Proceedings IEEE, (pp. 936–944).
17.
Miao, D., Zhu, W., Luo, C., & Chen, C.W. (2011). Resource allocation for cloud-based free viewpoint video rendering for mobile phones. Proceedings of the 19th ACM international conference on Multimedia, (pp. 1237–1240).
18.
Nakaya, Y., & Harashima, H. (1994). Motion compensation based on spatial transformations. IEEE Transactions on Circuits and Systems for Video Technology, 4(3), 339–356.CrossRef
19.
Peixoto, E., de Queiroz, R. L., & Mukherjee, D. (2008). Mobile video communications using a Wyner-Ziv transcoder. Symposium on Electronic Imaging, Visual Communications and Image Processing (SPIE), San Jose, CA, USA.
20.
Sayed, M., & Badawy, W. (2004). A novel motion estimation method for mesh-based video motion tracking. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004. Proceedings (ICASSP’04), volume 3, (pp. iii-337).
21.
Shamir, A. (2008). A survey on mesh segmentation techniques. Computer graphics forum, 27(6), 1539–1556.CrossRef
22.
23.
24.
Sullivan, G. J., & Wiegand, T. (2005). Video compression-from concepts to the H. 264/AVC standard. Proceedings of the IEEE, 93(1), 18–31.CrossRef
25.
Valette, S., Magnin, I., & Prost, R. R. (2004). Mesh-based video objects tracking combining motion and luminance discontinuities criteria. Signal processing, 84(7), 1213–1224.CrossRef
26.
Wang, T., & Ostermann, J. (1988). Evaluation of mesh-based motion estimation in H. 263-like coders. IEEE Transactions on Circuits and Systems for Video Technology, 8(3), 243–252.CrossRef
27.
Wang, Y., & Lee, O. (1994). Active mesh-a feature seeking and tracking image sequence representation scheme. IEEE Transactions on Image Processing, 3(5), 610–624.CrossRef
28.
Wang, Y., Lee, O., & Vetro, A. (1996). Use of two-dimensional deformable mesh structures for video coding, part II: The analysis problem and a region-based coder employing an active mesh representation. IEEE Transactions on circuits and systems for video technology, 6(6), 647–659.CrossRef
29.
Wang, Y., Ostermann, J., & Zhang, Y. Q. (2002). Video processing and communications (Vol. 1). Upper Saddle River: Prentice Hall.
30.
Wu, Y., Wu, C., Li, B., Qiu, X., & Lau, F. (2011). CloudMedia: When cloud on demand meets video on demand. 2011 31st International Conference on Distributed Computing Systems (ICDCS), (pp. 268–277).
31.
32.
Yuan, W., & Nahrstedt, K. (2006). Energy-efficient CPU scheduling for multimedia applications. ACM Transactions on Computer Systems (TOCS), 24(3), 292–331.CrossRef
Metadaten
Titel
DualEMC: energy efficient mobile multimedia communication with cloud
verfasst von
Yuan Zhao
Lei Zhang
Xiaoqiang Ma
Jiangchuan Liu
Hongbo Jiang
Publikationsdatum
01.09.2015
Verlag
Springer US
Erschienen in
Telecommunication Systems / Ausgabe 1/2015
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-014-9923-2

Weitere Artikel der Ausgabe 1/2015

Telecommunication Systems 1/2015 Zur Ausgabe

OriginalPaper

Defending jamming attack in wide-area monitoring system for smart grid

OriginalPaper

An optimal scheduling framework for concurrent transmissions in wireless cognitive radio networks

OriginalPaper

On energy-balanced resource scheduling policy optimality for QoS assurance in multi-hop wireless multimedia networks

OriginalPaper

Cross-layer design in wireless multi-hop networks: a bargaining game theoretic analysis

OriginalPaper

Improving the communication path reliability of WiMAX mesh network using multi sponsor technique

OriginalPaper

Dynamic scheduling with energy-efficient transmissions in hierarchical wireless sensor networks

Neuer Inhalt

    Bildnachweise