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Subject: RE: Call for Papers: IEEE International Workshop on Cloud Computing for Signal Processing, Coding and Networking


There has been an update to deadlines for this invitation. The new deadline for paper submissions has been extended to November 30, 2013.

 

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Kevin Mangold

National Institute of Standards and Technology

Information Technology Lab / Information Access Division / Image Group / Biometric Clients Lab

Office: 301-975-5628

 

From: Mangold, Kevin C.
Sent: Friday, October 25, 2013 11:45
Subject: Call for Papers: IEEE International Workshop on Cloud Computing for Signal Processing, Coding and Networking

 

Call for Papers: IEEE International Workshop on Cloud Computing for Signal Processing, Coding and Networking

 

Website: http://www.iwccsp.org/

Official CFP: http://www.iwccsp.org/cfp2014/cfpforiwccsp.pdf

 

Location: Boston, Massachusetts, USA

 

Important Dates:

-          Paper Submission: November 30, 2013

-          Author Notification: December 20, 2013

-          Final Paper Due: January 15, 2014

-          Workshop: March 11, 2014

 

 

IEEE International Workshop on Cloud Computing for Signal Processing, Coding and Networking (IWCCSP) is a newly launched series of workshops in the interdisciplinary area of Cloud Computing and Signal Processing. Cloud Computing is playing an increasing role in the field of signal processing and multimedia systems. Siri provides speech recognition services based on cloud computing. YouTube and Brightcove are SaaS systems providing video storage, coding, streaming and delivering services. There are cloud-assisted (mobile) video conferencing systems based on inter-datacenter networks. NIST is proposing standards about Biometrics as a Service. Signal processing for large-scale sensor networks also relies on the power of cloud computing. How to utilize cloud computing technologies to improve the efficiency, capacity, intelligence and user experience of signal processing and multimedia service systems is an emerging topic nowadays.

 

The aim of IEEE International Workshop on Cloud Computing for Signal Processing, Coding and Networking (IWCCSP 2014) is to bring together researchers and engineers from both the areas of cloud computing and signal processing to share their latest achievements, exchange ideas and identify potential research directions in signal processing, coding and networking with cloud computing technologies. Topics of interest for this workshop include, but are not limited to:

-          Signal processing platform as a service  

-          Video coding and scalable streaming as a service              

-          Biometric as a service    

-          Signal detection and identification as a service  

-          Speech recognition and its application based on cloud   

-          Audio, image and video processing with cloud   

-          Coding method for inter-datacenter networking              

-          Multimedia streaming and desktop virtualization             

-          Storage of encoded signals in cloud        

-          Distributed and parallel computing for signal processing

-          Signal processing for large-scale sensor networks based on cloud            

-          Security of multimedia communication and cloud computing      

-          Secure signal processing, coding and storage in cloud     

 

 

 

Program Committee

 

Honorary Chair:

Ton Kalker, DTS, IEEE Fellow

 

General Chairs:

Kevin Mangold, National Institute of Standards and Technology

Xiamu Niu, Harbin Institute of Technology

Shi Wang, IBM

 

Program Committee Members (Confirmed):

Bian Yang, Gjovik University College (co-chair)

Mingyu Li, Institute of Software, Chinese Academy of Sciences (co-chair)

Haikuan Li, CLEBA Group BV

Ke Yu, iQIYI.COM

Qi Han, Harbin Institute of Technology

Fengge Wu, Institute of Software, Chinese Academy of Sciences

Yuhua Jiao, Michigan State University

 

 

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Kevin Mangold

National Institute of Standards and Technology

Information Technology Lab / Information Access Division / Image Group / Biometric Clients Lab

Office: 301-975-5628

 



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