Processors

May 2016 Embedded Vision Summit Vision Tank Competition Finalist Presentations

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

Dmitry Morozov, CEO of 3DiVi, Arun Chhabra, CEO of 8tree, Feisal Afzal, Managing Director of Pound Capital (representing Magik Eye), Pree Walia, CEO of Preemadonna, and Aaron Cohen, CEO of SKUR, deliver their Vision Tank finalist presentations at the May 2016 Embedded Vision Summit. The Vision Tank, a unique spin on the Shark Tank reality […]

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“Computer Vision in Cars: Status, Challenges, and Trends,” a Presentation from videantis

Algorithms, Automotive, Processors, Sensors and Cameras, videantis, Videos /

Marco Jacobs, Vice President of Marketing at videantis, presents the "Computer Vision in Cars: Status, Challenges, and Trends" tutorial at the May 2016 Embedded Vision Summit. Just as horse carriages were replaced by cars in the 1920s, human operators in our cars will be replaced by electronics in the 2020s. The benefits are tremendous: self-driving

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“Computer Vision 2.0: Where We Are and Where We’re Going,” a Presentation from the Embedded Vision Alliance

Algorithms, Processors, Sensors and Cameras, Software, Tools, Videos /

Jeff Bier, founder of the Embedded Vision Alliance, presents the "Computer Vision 2.0: Where We Are and Where We're Going" plenary session at the May 2016 Embedded Vision Summit. Computer vision has rapidly transitioned from a research topic with few commercial applications to a mainstream technology with applications in virtually every sector of our economy.

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“Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras,” a Presentation from NVIDIA

Algorithms, NVIDIA, Processors, Sensors and Cameras, Software, Tools, Videos /

Orazio Gallo, Senior Research Scientist at NVIDIA, presents the "Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras" tutorial at the May 2016 Embedded Vision Summit. Today's digital cameras, even at the entry-level, produce pictures with quality comparable to that of high-end cameras of a decade ago. Image processing and computational photography algorithms play

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“Large-Scale Deep Learning for Building Intelligent Computer Systems,” a Keynote Presentation from Google

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

Jeff Dean, Senior Fellow at Google, presents the "Large-Scale Deep Learning for Building Intelligent Computer Systems" keynote at the May 2016 Embedded Vision Summit. Over the past few years, Google has built two generations of large-scale computer systems for training neural networks, and then applied these systems to a wide variety of research problems that

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May 2016 Embedded Vision Summit Proceedings

Aerospace and Defense, Algorithms, Augmented Reality, Automotive, Biometrics, Downloads, Edge AI and Vision Alliance, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Industrial Vision (Computer Vision), Information Access and Analytics, Medical, Object Identification, Object Tracking, Optical Character Recognition, Processors, Retail, Robotics, Security, Sensors and Cameras, Software, Tools /

The Embedded Vision Summit was held on May 2-4, 2016 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations presented at the Summit are listed below. All of the slides from these presentations are included in… May 2016 Embedded Vision Summit

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OpenVX Enables Portable, Efficient Vision Software

Algorithms, Articles, BDTI, Cadence, Edge AI and Vision Alliance, Processors, Software, Technical Articles, Tools, VeriSilicon /

OpenVX, a maturing API from the Khronos Group, enables embedded vision application software developers to efficiently harness the various processing resources available in SoCs and systems. Vision technology is now enabling a wide range of products, that are more intelligent and responsive than before, and thus more valuable to users. Such image perception, understanding, and

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“Deep Learning from a Mobile Perspective,” a Presentation from Caffe Developer Yangqing Jia

Algorithms, Downloads, Processors, Software, Tools /

Yangqing Jia created the Caffe framework while a graduate student researcher at UC Berkeley. He later was a member of the Google Brain project and recently joined Facebook, working on various aspects of deep learning research and engineering. At the Alliance’s February 2016 tutorial on deep learning for computer vision using convolutional neural networks and

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Optimizing Fast Fourier Transformation on ARM Mali GPUs

Algorithms, Arm, Articles, Processors, Software, Technical Articles /

This article was originally published at ARM's website. It is reprinted here with the permission of ARM. The Fast Fourier Transformation (FFT) is a powerful tool in signal and image processing. One very valuable optimization technique for this type of algorithm is vectorization. This article discusses the motivation, vectorization techniques and performance of the FFT

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Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 3)

Algorithms, Arm, Articles, Processors, Software, Technical Articles /

This article was originally published at ARM's website. It is reprinted here with the permission of ARM. For more information, please see ARM's developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. In this third and last part of this blog series we are going to extend the mixed-radix FFT OpenCL™

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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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