|Thursday, December 8|
|10:00 - 11:00|
|Keynote: ESP-K1: Behzad Shahraray - Multimedia Signal Processing: From Feature Engineering to Deep Learning|
|11:00 - 12:20|
|ESP-1: Emerging Signal Processing Applications I|
|14:00 - 15:00|
|Keynote: ESP-K2: Robert Pack - Signals, Information & Systems In Consumer Robot Products|
|14:00 - 15:40|
|ESP-2: Emerging Signal Processing Applications II|
|16:10 - 17:30|
|ESP-P1: Emerging Signal Processing Applications Poster|
Driven by the Internet and the Web, an increasing amount of multimedia data is generated and shared by a variety of sources including Internet of Things (IoT) and mobile devices. The enormous amount of available multimedia data has created new challenges for management and effective discovery and utilization of this data. Fortunately, the same drivers have also enabled and facilitated the generation of accompanying auxiliary descriptive information through social networks and crowdsourcing. This combination of the large annotated datasets and high performance computing resources has given rise to a new generation of data-driven algorithms. Deep convolutional neural networks have generated impressive results in multimedia signal processing problems such as image classification, face processing, and speech recognition. This talk will mainly focus on visual information processing and will present the progress in the last decade or so in feature-based algorithms and data-driven algorithms based on deep learning that have surpassed previous algorithms, and in some cases even human performance on these visual tasks.
The application space of robotics sparks the imagination and provides a daunting set of challenges for any product developer. What was once fiction is now in our homes and where fear of rejection once dominated the thoughts of robotics visionaries, the amazing reality is that we are not delivering new products fast enough into a diverse and growing market. This talk will provide some background about the consumer robotics market and outline the challenges that robot product developers face by describing the architecture and elements of a modern robot product. It will touch on hardware, sensing and processors up through the many interacting ayers of signal and information processing that breathe life into a consumer robot system.
By illustrating key signal processing and information processing challenges that arise in such an integrated system, the talk will provide insights and feedback from the trenches of product development to the signal and information processing community on technical enablers that can help developers address the growing market of consumer robot products worldwide.
The Emerging Signal Processing Applications symposium will serve practicing engineers and academic researchers and will focus on Intelligent Systems and Applications, with strong emphasis on cutting edge practical signal processing applications. In 2016, ESPA is co-located with GlobalSIP to provide attendees exposure to product-viable algorithms and implementations targeting near term applications as well as the more forward-looking emerging signal processing techniques of a more academic flavor.
Attendees will learn about the current technologies from the major industry and academic players in the field and about the future directions from visionary invited speakers. In addition to keynote speeches, invited talks and panel discussions on hot topics, there will be oral, poster and demo sessions highlighting novel technologies and applications of signal processing.
Submissions are welcome on topics including:
Prospective authors are invited to submit either full-length papers (4-5 pages) or short-length papers (2-3 pages) including figures and references. Manuscripts should be original (not submitted/published anywhere else) and written in accordance with the standard IEEE double-column paper template. Submission is through the GlobalSIP website at http://2016.ieeeglobalsip.org/Papers.asp.
Paper submissions that also include a demo submission are highly encouraged (a separate demo paper is not required in this case).
Researchers and industrial practitioners are invited to submit a short proposal for a demonstration at the demo sessions. Proposals should include at least a short length paper (1-2 pages) highlighting the demonstration and its novel technologies. They should adhere to the same guidelines as paper submissions. A Best Demo Award will be granted to the best demonstration.
|Paper Submission Deadline|
|Review Results Announced|
|Camera-Ready Papers Due||September 30, 2016|