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GTC ON-DEMAND

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Abstract:

Aerial surveillance applications using either full motion video (FMV) or Wide Area Motion Imagery (WAMI) sensors requires accurate detection and tracking algorithms. Real-world environmental conditions (atmospheric haze, smoke, fog), and long stand-off distances make detection and tracking difficult, resulting in poor detection rates and high rates of false positives. The MSER algorithm is well-suited to these conditions, but extremely slow to compute, and until recently, impractical to use. MotionDSP implemented a new, massively parallel algorithm for MSER, implemented in CUDA, which has increased performance by more than 20x, and enabled real-time performance on extremely high resolution imagery.

Aerial surveillance applications using either full motion video (FMV) or Wide Area Motion Imagery (WAMI) sensors requires accurate detection and tracking algorithms. Real-world environmental conditions (atmospheric haze, smoke, fog), and long stand-off distances make detection and tracking difficult, resulting in poor detection rates and high rates of false positives. The MSER algorithm is well-suited to these conditions, but extremely slow to compute, and until recently, impractical to use. MotionDSP implemented a new, massively parallel algorithm for MSER, implemented in CUDA, which has increased performance by more than 20x, and enabled real-time performance on extremely high resolution imagery.

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Topics:
Video & Image Processing, Signal and Audio Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2013
Session ID:
S3397
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Speakers:
Sean Varah
Abstract:

There are more than 6000 Unmanned Aerial Vehicles (UAVs) in use in the US Military. The US Army alone has flown more than 1 million UAV flight hours. Every UAV captures at least one stream of video; some as many as 9. All this video needs to be processed and analyzed both during the mission, and post-mission. Traditionally, custom ASICs, and FPGAs were required for even the most rudimentary image processing tasks. Now, GPUs provide orders of magnitude more compute at a fraction of the cost. Hear how MotionDSP uses GPUs to provide previously impossible capabilities to military imaging.

There are more than 6000 Unmanned Aerial Vehicles (UAVs) in use in the US Military. The US Army alone has flown more than 1 million UAV flight hours. Every UAV captures at least one stream of video; some as many as 9. All this video needs to be processed and analyzed both during the mission, and post-mission. Traditionally, custom ASICs, and FPGAs were required for even the most rudimentary image processing tasks. Now, GPUs provide orders of magnitude more compute at a fraction of the cost. Hear how MotionDSP uses GPUs to provide previously impossible capabilities to military imaging.

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Topics:
Video & Image Processing, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2010
Session ID:
2027
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Abstract:
Join our panel of leading industry experts as they discuss some of the most exciting and disruptive current and future applications to be built on top of GPUs. Topics will cover both visual and high performance computing, including rendering, video processing, scientific computing, cloud computing, and more. Industry analyst Rob Enderle will moderate this marquis panel, which will include Steve Perlman, Founder and CEO- ONLIVE; Simon Hayhurst, Senior Director of Product Management - Adobe; Sean Varah CEO- MotionDSP; and Bill Dally, NVIDIA's Chief Scientist.
Join our panel of leading industry experts as they discuss some of the most exciting and disruptive current and future applications to be built on top of GPUs. Topics will cover both visual and high performance computing, including rendering, video processing, scientific computing, cloud computing, and more. Industry analyst Rob Enderle will moderate this marquis panel, which will include Steve Perlman, Founder and CEO- ONLIVE; Simon Hayhurst, Senior Director of Product Management - Adobe; Sean Varah CEO- MotionDSP; and Bill Dally, NVIDIA's Chief Scientist.  Back
 
Topics:
General Interest
Type:
Talk
Event:
GTC Silicon Valley
Year:
2009
Session ID:
S09425
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Speakers:
Sean Varah
Abstract:

MotionDSP makes revolutionary video software that dramatically improves video from a wide range of sources -- from mobile phones to surveillance cameras. Its patented, multi-frame video enhancement technology is available in Ikena, a "CSI-style" video forensic application used by intelligence agencies and law enforcement, and in vReveal, a Windows application for consumers, launched in partnership with NVIDIA in March 2009, which offers a one-click fix for the issues that plague consumer-generated video: shake, noise artifacts, pixelation, poor lighting, and low resolution MotionDSP''s investors include In-Q-Tel, the independent investment firm that invests to support the mission of the CIA and US Intelligence Agencies, and NVIDIA, the world leader in visual computing. MotionDSP is based in San Mateo with a development office in Nis, Serbia.

MotionDSP makes revolutionary video software that dramatically improves video from a wide range of sources -- from mobile phones to surveillance cameras. Its patented, multi-frame video enhancement technology is available in Ikena, a "CSI-style" video forensic application used by intelligence agencies and law enforcement, and in vReveal, a Windows application for consumers, launched in partnership with NVIDIA in March 2009, which offers a one-click fix for the issues that plague consumer-generated video: shake, noise artifacts, pixelation, poor lighting, and low resolution MotionDSP''s investors include In-Q-Tel, the independent investment firm that invests to support the mission of the CIA and US Intelligence Agencies, and NVIDIA, the world leader in visual computing. MotionDSP is based in San Mateo with a development office in Nis, Serbia.

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Topics:
Emerging Companies Summit
Type:
Talk
Event:
GTC Silicon Valley
Year:
2009
Session ID:
S102029
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