Hyatt Regency
San Francisco Airport, California, United States
23 - 27 January 2011
Conference 7872
Parallel Processing for Imaging Applications
Monday - Tuesday, 24 - 25 January 2011
Due Dates:

Abstract (500 words) and Summary (200 words): 19 July 2010

Manuscript for On-site Proceedings: 15 November 2010

Papers submitted to this conference should fuse parallel implementation design principles under physical constraints with an understanding of imaging applications.

Imaging translates information into and out of the visual system with today's computation engine of choice: digital electronic systems. While scalar architectures are no longer scaling at historical rates, we see a massive explosion in the total number of connected computation devices and the ways that hardware architectures and software parallel programming environments use these devices to work in concert and in parallel. From the computing cloud to map-reduce programming models and systems to multi-core CPUs to the regular layout of graphics processing units (GPUs) to the increasing capacity of FPGA fabrics, a range of parallel architectures and parallel programming environments are available to designers and researchers to solve computationally complex problems in efficient (and often real-time) imaging applications.

Under physical constraints such as power, speed, and/or cost, the data throughput and degree of data dependence of imaging applications suggest a good match between parallel architectures and imaging applications; similarly, the choice of parallel architectures often reflects the structure of the imaging problem targeted by the application. Thus, the duality of imaging problem definition and parallelism implies that the efficient implementation of parallelism for imaging offers insight into the mind's internal imaging computation. This duality also implies that measures of parallel efficiency can formalize the definition of many imaging problems. This conference explores this duality through new parallel designs for imaging and architectures and design tools to optimize parallelism in imaging algorithms.

We expect papers in this conference to combine principles and techniques for parallelism, such as:
  • cloud computing
  • GPU computing
  • high-level parallel programming constructs
  • design tools for extracting parallelism
  • efficient, scalable architectures
  • memory hierarchy design for parallel systems
  • metrics for parallelism and capacity planning
  • efficient algorithm mapping onto parallel hardware
  • algorithmic classification by efficient parallel architecture
  • algorithms for parallel scheduling and resource allocation.
Other novel parallel programming techniques, constructs, abstractions, and implementations with an understanding of imaging applications, such as:
  • teleconferencing
  • medical imaging
  • remote sensing
  • image fusion
  • spectral imaging
  • volumetric imaging
  • compression
  • halftoning
  • color rendering
  • raster image processing
  • image analysis
  • computer vision
  • document analysis
  • forensics
  • resampling
  • computational optics
  • other novel imaging applications.
;
Conference Committee
Important Dates
Abstract Due:
27 June 2010

Author Notification:
17 September 2010

Manuscript Due Date:
15 November 2010

Monday 24 January Show All Abstracts
Welcome
Monday, 24 January 2011
8:20 AM - 8:30 AM

Gary J. Dispoto, Hewlett-Packard Labs. (United States)
Session 1: Parallel Imaging Systems
Monday, 24 January 2011
8:30 AM - 10:20 AM
Using a commercial graphical processing unit and the CUDA programming language to accelerate scientific image processing applications
Paper 7872-1
Author(s):
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Automatic distribution of vision-tasks on computing clusters
Paper 7872-2
Author(s):
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Highly scalable digital front end architectures for digital printing
Paper 7872-3
Author(s):
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Parallel training and testing methods for complex image processing algorithms on distributed, heterogeneous, unreliable, and non-dedicated resources
Paper 7872-4
Author(s):
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Integrated parallel printing systems with hypermodular architecture (Invited Paper)
Paper 7872-5
Author(s):
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Session 2: From Image to Structure I
Monday, 24 January 2011
10:40 AM - 12:30 PM
Parallel processing considerations for image recognition tasks (Invited Paper)
Paper 7872-6
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GPGPU real-time texture analysis framework
Paper 7872-7
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A parallel implementation of 3D Zernike moment analysis
Paper 7872-8
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A novel parallel algorithm for airport runway segmentation in satellite images using priority directional region growing strategy based on ensemble learning
Paper 7872-9
Author(s):
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Visualization assisted by parallel processing
Paper 7872-10
Author(s):
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Session 3: From Image to Structure II
Monday, 24 January 2011
2:00 PM - 2:20 PM
A parallel impulse-noise detection algorithm based on ensemble learning for switching median filters
Paper 7872-11
Author(s):
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Session 4: From Structure to Image I
Monday, 24 January 2011
2:20 PM - 3:20 PM
GPU color space conversion
Paper 7872-12
Author(s):
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Acceleration of the Retinex algorithm for image restoration by GPGPU/CUDA
Paper 7872-13
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Performance evaluation of canny edge detection on a tiled multicore architecture
Paper 7872-14
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Session Pan: Industry Panel on Future Directions in Parallel Processing
Monday, 24 January 2011
3:50 PM - 5:30 PM

Panel Moderator:
John D. Owens, Univ. of California, Davis

Panel Members:
Justin Hensley, Advanced Micro Devices, Inc. (United States)
Jatin Chhugani, Intel Corp.
Joe Stam, NVIDIA Corp.
Tom Dean, Google, Inc.
Tuesday 25 January Show All Abstracts
Session PLEN1: Plenary Session and Society Award Presentations
Tuesday, 25 January 2011
8:20 AM - 9:20 AM
Session 5: From Structure to Image II
Tuesday, 25 January 2011
9:30 AM - 10:30 AM
Video transcoding using GPU accelerated decoder
Paper 7872-15
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Real-time image deconvolution on the GPU
Paper 7872-16
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Stitching giga pixel images using parallel computing
Paper 7872-17
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Session 6: Speed vs. Accuracy Trade-off I
Tuesday, 25 January 2011
11:10 AM - 12:10 PM
GPU-completeness: theory and implications
Paper 7872-18
Author(s):
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A parallel error diffusion implementation on a GPU
Paper 7872-20
Author(s):
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Experience with imaging algorithms on multiple core CPUs
Paper 7872-21
Author(s):
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Session 7: Speed vs. Accuracy Trade-off II
Tuesday, 25 January 2011
2:00 PM - 2:40 PM
Evaluation of CPU and GPU architectures for spectral image analysis algorithms
Paper 7872-22
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Computational scalability of large size image dissemination
Paper 7872-23
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Session 8: Imaging Applications
Tuesday, 25 January 2011
2:40 PM - 5:00 PM
Real-time 3D flash ladar imaging through GPU data processing
Paper 7872-25
Author(s):
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Advanced MRI reconstruction toolbox with accelerating on GPU
Paper 7872-26
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Accelerating image recognition on mobile devices using GPGPU
Paper 7872-27
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Multi-view stereo reconstruction via voxel clustering and optimization of parallel volumetric graph cuts
Paper 7872-28
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A GPU accelerated PDF transparency engine
Paper 7872-29
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Session IP1: Interactive Paper and Symposium Demonstration Session
Tuesday, 25 January 2011
5:30 PM - 8:00 PM
Location: Grand Peninsula Ballroom E

Demonstrations...5:30 to 8:00 pm


A symposium-wide demonstration session will be open to attendees 5:30 to 8:00 pm Tuesday evening. Demonstrators will provide interactive, hands-on demonstrations of a wide-range of products related to Electronic Imaging.

Posters...5:30 to 7:00 pm



Interactive papers will be placed on display after 9:00 am on Monday. An interactive paper session, with authors present at their papers, will be held Tuesday evening, 5:30 to 7:00 pm.
Infrared small target tracking based on SOPC
Paper 7872-30
Author(s):
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A novel method for multi-view synthesis using relative affine structure
Paper 7872-31
Author(s):
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Conference Committee
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