Mobile devices, such as phones and tablets, offer a plethora of media-rich applications such as photo and video recording and editing, natural user interfaces and computer vision. Other areas of embedded image systems are characterized by close-to-sensor processing, such as advanced driver assistance systems, mobile scanners, and smart devices used in medical and industrial imaging. This demands highest computing capabilities at stringent resource and power budgets as well as hard real-time constraints.
Future scaling of computing performance mandates dramatically improving energy efficiency of image systems. One recognized trend is to use heterogeneous hardware such as big.LITTLE cores and accelerators such as DSPs, embedded GPUs, FPGAs, or dedicated hardware. Another trend is to use new 3D integrated circuit technologies that allow for tighter integration of compute cores, memory and sensors to reduce communication latency and improve bandwidth, leading to lower energy consumption.
This calls for novel methodologies for designing heterogeneous hardware, as well shielding software developers from growing complexity and allowing them to concentrate on algorithm development rather than on low level implementation details.
TOPICS OF INTEREST INCLUDE (BUT ARE NOT LIMITED TO):
- Heterogeneous real-time image processing systems
- Accelerator architectures for real-time image processing (GPUs, DSPs, FPGAs)
- Processor and memory chip-stacked systems for real-time image processing
- Smart cameras, smart sensors and close-to-sensor real-time processing systems
- Design techniques and tools for heterogeneous real-time image systems
- Performance and energy-efficiency evaluation of heterogeneous real-time image systems
- Programming abstractions and patterns for real-time image processing
SUBMISSION DEADLINE: June 1, 2015
The guidelines for authors and reviewers are available for download from the JRTIP web page:
Submissions should be 12-15 pages in the final double column format, and will need to be
uploaded to the Editorial Manager: http://www.editorialmanager.com/rtip
Please choose article type: “S.I.: Heterogeneous Real-Time Image Processing”
Dietmar Fey and Frank Hannig
Department of Computer Science