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Embedded Vision Insights: January 5, 2016 Edition

In this edition of Embedded Vision Insights: Embedded Vision Summit Competitions An Introduction to Computational Photography Heterogeneous Computing in Mobile Systems Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Happy 2016! I hope that the holiday weeks have been relaxing and rejuvenating for you, and I wish you

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“An Update on Open Standard APIs for Vision Processing,” a Presentation from Khronos

Neil Trevett, President of Khronos and Vice President at NVIDIA, delivers the presentation, "Update on Khronos Open Standard APIs for Vision Processing," at the December 2015 Embedded Vision Alliance Member Meeting. Trevett provides an update on recent developments in multiple Khronos standards useful for vision applications.

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Embedded Vision Insights: December 10, 2015 Edition

In this edition of Embedded Vision Insights: Embedded Vision Summit Discount Ends Soon Real-time Hyperspectral Imaging Four Key Vision Growth Markets in 2016 Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I’m pleased to announce that we’ve launched an all-new Embedded Vision Summit area of the Alliance website,

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New Competition Aims to Spur Energy-efficient Computer Vision Innovation

Powerful vision processors have existed for some time now, as exemplified by supercomputers and the longstanding academic research on computer vision. What's recently changed are the "low-cost" and "energy-efficient" aspects of vision processing, along with evolutionary (and sometimes revolutionary) accuracy and other improvements in the algorithms running on the processors. Well-known image classification competitions like

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The PowerVR Imaging Framework for Android

This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. In a previous article about heterogeneous architectures, I identified memory bandwidth as the main bottleneck for implementing power-efficient algorithms for computer vision. Luckily, Imagination has created an

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Efficient Implementation of Neural Network Systems Built on FPGAs, Programmed with OpenCL

This technical article was originally published at Altera's website. It is reprinted here with the permission of Altera. Deep learning neural network systems currently provide the best solution to many large computing problems for image recognition and natural language processing. Neural networks are inspired by biological systems, in particular the human brain; they use conventional

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How Computer Vision is Re-shaping the Four Key Growth Segments of 2016

Computer vision and computational photography are intrinsic aspects of the Internet of Things (IoT), where cameras and sensors reign supreme. This article provides an overview of how computer vision technology is transforming the most critical markets in 2016: mobile, automotive, security and surveillance, and drones. Mobile The digital cameras in smartphones are one of their

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Using Convolutional Neural Networks for Image Recognition

This article was originally published at Cadence's website. It is reprinted here with the permission of Cadence. Convolutional neural networks (CNNs) are widely used in pattern- and image-recognition problems as they have a number of advantages compared to other techniques. This white paper covers the basics of CNNs including a description of the various layers

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Embedded Vision Insights: November 10, 2015 Edition

In this edition of Embedded Vision Insights: New Demo and Tutorial Videos Vision-Based Gesture Interfaces Free Online Book: Computer Vision Metrics Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I'm delighted to tell you about three new videos published to the Alliance website. Basler begins with a tutorial on industrial camera interfaces;

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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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