NVIDIA CUDA Technology Dramatically Speeds Up Facial Recognition in CyberLink MediaShow 5 Digital Photo Application
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|CyberLink MediaShow 5 leverages NVIDIA GeForce GPUs in tandem with the computer’s central processor (CPU) to significantly improve application speed.|
|CyberLink MediaShow 5 organizes your photo collection using a sophisticated face recognition algorithm that runs faster on NVIDIA GPUs.|
|CyberLink MediaShow 5 utilizes the parallel processing power of NVIDIA GPUs to search and sort photo libraries based on who is in the photos.|
SANTA CLARA, Calif.—Sept. 8, 2009—NVIDIA Corp. announced today that CyberLink MediaShow 5, a new software program that organizes digital photos based on who is in them, is utilizing the CUDA parallel processing power of NVIDIA® GeForce® graphics processing units (GPUs) to search and sort photo libraries.
CyberLink MediaShow 5 searches and organizes your photo collection using a sophisticated face recognition algorithm. By utilizing co-processing – which leverages the massive parallel processing power of NVIDIA GeForce GPUs in tandem with the computer’s central processor (CPU) – CyberLink MediaShow 5 provides up to a 70%[i] improvement in application speed so you can find the photos you want faster.
“Consumers are accumulating massive photo libraries, given the proliferation of digital cameras, camcorders and smart phones,” said Alice H. Chang, CEO of CyberLink. “MediaShow 5 helps them better manage their photo collections by searching photos based on face recognition and tagging. NVIDIA CUDA technology significantly reduces the processing time involved in this.”
In addition to face recognition, MediaShow 5 uses NVIDIA® CUDA™ technology to accelerate video conversion while still delivering ultra-high image quality.
“An NVIDIA GPU is for more than just games,” said Sanford Russell, general manager of the CUDA group at NVIDIA. “It is the perfect processor for manipulating pictures, video and other visual data, and CUDA is what makes this possible. It’s great to see CyberLink at the forefront of this technology trend.”
To learn more about the NVIDIA CUDA architecture visit www.nvidia.com/cuda.
NVIDIA (Nasdaq: NVDA) awakened the world to the power of computer graphics when it invented the graphics processing unit (GPU) in 1999. Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from portable media players to notebooks to workstations. NVIDIA’s expertise in programmable GPUs has led to breakthroughs in parallel processing which make supercomputing inexpensive and widely accessible. Fortune magazine has ranked NVIDIA #1 in innovation in the semiconductor industry for two years in a row. For more information, see www.nvidia.com.
Certain statements in this press release including, but not limited to, statements as to: the benefits, features, impact and capabilities of NVIDIA GeForce GPUs, the impact of CUDA technology and parallel processing on digital photo management, the impact of GPU computing and performance aspects of GPU computing; are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: development of more efficient or faster technology; design, manufacturing or software defects; the impact of technological development and competition; changes in consumer preferences and demands; customer adoption of different standards or our competitor's products; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission including its Form 10-Q for the fiscal period ended April 26, 2009. Copies of reports filed with the SEC are posted on NVIDIA’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
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 Testing performed by NVIDIA, based on face-tagging photos and measuring time in seconds. Comparison based on sorting 308 photos using an Intel Core 2 Duo E7200 (4:06) and a GeForce GTS 250 (2:21) for a speedup of 74.9%. 308 photos using an Intel Core 2 Duo E7200 (4:06) and a GeForce GTX 275 (2:16) for a speedup of 81.1%.
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