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OpenCL Extensions and Other Optimizations for Vision Processors and Cores

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Computer vision applications, unlike traditional image processing, employ a heterogeneous mix of algorithms with a great diversity of control flows and memory access patterns. Therefore, vision processors are naturally evolving towards complex architectures that include, besides the CPU and GPU-like arrays of processing units, dedicated hardware blocks that specialize on certain portions of computer vision […]

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New Cadence Tensilica Vision P5 DSP Enables 4K Mobile Imaging with 13X Performance Boost and 5X Lower Energy

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Highlights: Offloads the host CPU to minimize energy consumption Ideal for end-user applications including image and video enhancement, stereo and 3D imaging, depth map processing, robotic vision, face detection and authentication, augmented reality, object tracking, object avoidance and advanced noise reduction SAN JOSE, Calif., Oct. 6, 2015 /PRNewswire/ — Cadence Design Systems, Inc. (NASDAQ: CDNS)

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Embedded Vision Insights: October 6, 2015 Edition

Edge AI and Vision Alliance, Newsletters /

In this edition of Embedded Vision Insights: GPU-Accelerated Computer Vision Processing The Low-Power Image Recognition Challenge OpenCL for Vision Acceleration on FPGAs Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, GPU-based vision processing acceleration via the OpenCL API framework and other heterogeneous computing toolsets, discussed in the first

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Embedded Vision Alliance Member Meetings: Geekfests for Vision Technologists

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This blog post was originally published at Auviz Systems' website. It is reprinted here with the permission of Auviz Systems. I recently had a chance to spend a day with dozens of my favorite fellow embedded vision geeks. Once a quarter, the Embedded Vision Alliance holds a member meeting, where we spend the day networking

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Embedded Vision Insights: September 22, 2015 Edition

Edge AI and Vision Alliance, Newsletters /

In this edition of Embedded Vision Insights: OpenCL on FPGAs for Deep Learning and Other Applications Histogram of Oriented Gradients Implementations Heterogeneous Computing Terms Explained Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, The final set of technical presentations from this year's Embedded Vision Summit is now on the Alliance website; I'd

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OpenCL Streamlines FPGA Acceleration of Computer Vision

Algorithms, AMD, Articles, Intel, Processors, Software, Technical Articles, Tools /

The substantial resources available in modern programmable logic devices, in some cases including embedded processor cores, makes them strong candidates for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across programmable logic fabric and other heterogeneous processing elements within a system. As mentioned in the

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Embedded Vision Insights: September 10, 2015 Edition

Edge AI and Vision Alliance, Newsletters /

In this edition of Embedded Vision Insights: New Embedded Vision Summit Content Creating Apps and Systems with Embedded Vision Automotive ADAS Acronyms Explained Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I’m excited to tell you about more great new video presentations from the recent Embedded Vision Summit. In "Using Vision to

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Embedded Vision Insights: August 25, 2015 Edition

Edge AI and Vision Alliance, Newsletters /

In this edition of Embedded Vision Insights: New Content from the Embedded Vision Summit and Alliance Member Meeting Embedded Lucas-Kanade Tracking: Theory and Implementation Has Neural Network Processors' Time Come? Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, The Alliance continues to publish videos of great presentations from

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“Navigating the Vision API Jungle: Which API Should You Use and Why?,” a Presentation from the Khronos Group

Algorithms, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

Neil Trevett, Vice President of Mobile Ecosystem at NVIDIA and President of the Khronos Group, presents the "Navigating the Vision API Jungle: Which API Should You Use and Why?" tutorial at the May 2015 Embedded Vision Summit. It’s often said that the wonderful thing about standards is that there are so many to choose from.

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“Understanding Adaptive Machine Learning Vision Algorithms and Implementing Them on GPUs and Heterogeneous Platforms,” a Presentation from AMD

Algorithms, AMD, Processors, Software, Tools, Videos /

Harris Gasparakis, OpenCV Manager at AMD, presents the "Understanding Adaptive Machine Learning Vision Algorithms and Implementing them on GPUs and Heterogeneous Platforms" tutorial at the May 2015 Embedded Vision Summit. Machine learning algorithms are pervasive in computer vision: from object detection to object tracking to full scene recognition, generative or discriminative learning dominates the space,

“Understanding Adaptive Machine Learning Vision Algorithms and Implementing Them on GPUs and Heterogeneous Platforms,” a Presentation from AMD Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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