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.<br>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.<br>Topics of interest for this workshop include, but are not limited to:<br>– Signal processing platform as a service<br>– Video coding and scalable streaming as a service<br>– Biometric as a service<br>– Signal detection and identification as a service<br>– Speech recognition and its application based on cloud<br>– Audio, image and video processing with cloud<br>– Coding method for inter–datacenter networking<br>– Multimedia streaming and desktop virtualization<br>– Storage of encoded signals in cloud<br>– Distributed and parallel computing for signal processing<br>– Signal processing for large–scale sensor networks based on cloud<br>– Watermarking and cloud computing<br>– Security of multimedia communication and cloud computing<br>– Secure signal processing, coding and storage in cloud<br>
Abbrevation
IWCCSP
City
Boston
Country
United States
Deadline Paper
Start Date
End Date
Abstract