Technical Insights

“Beyond CNNs for Video: The Chicken vs. the Datacenter,” a Presentation from Xperi

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Steve Teig, Chief Technology Officer at Xperi, presents the "Beyond CNNs for Video: The Chicken vs. the Datacenter" tutorial at the May 2019 Embedded Vision Summit. The recent revolution in computer vision derives much of its success from neural networks for image processing. These networks run predominantly in datacenters, where the training data consists mostly […]

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“Enabling Automated Design of Computationally Efficient Deep Neural Networks,” a Presentation from UC Berkeley

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Bichen Wu, Graduate Student Researcher in the EECS Department at the University of California, Berkeley, presents the “Enabling Automated Design of Computationally Efficient Deep Neural Networks” tutorial at the May 2019 Embedded Vision Summit. Efficient deep neural networks are increasingly important in the age of AIoT (AI + IoT), in which people hope to deploy

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“Implementing Image Pyramids Efficiently in Software,” a Presentation from Polymorphic Technologies

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Michael Stewart, Proprietor of Polymorphic Technologies, presents the “Implementing Image Pyramids Efficiently in Software,” tutorial at the May 2018 Embedded Vision Summit. An image pyramid is a series of images, derived from a single original image, wherein each successive image is at a lower resolution than its predecessors. Image pyramids are widely used in computer

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“Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases,” a Presentation from Xperi

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Peter Corcoran, co-founder of FotoNation (now a core business unit of Xperi) and lead principle investigator and director of C3Imaging (a research partnership between Xperi and the National University of Ireland, Galway), presents the “Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases” tutorial at the May 2018 Embedded Vision Summit. Deep

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“Building Efficient CNN Models for Mobile and Embedded Applications,” a Presentation from Facebook

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Peter Vajda, Research Scientist at Facebook, presents the “Building Efficient CNN Models for Mobile and Embedded Applications” tutorial at the May 2018 Embedded Vision Summit. Recent advances in efficient deep learning models have led to many potential applications in mobile and embedded devices. In this talk, Vajda discusses state-of-the-art model architectures, and introduces Facebook’s work

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“Harnessing the Edge and the Cloud Together for Visual AI,” a Presentation from Au-Zone Technologies

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Sébastien Taylor, Vision Technology Architect at Au-Zone Technologies, presents the “Harnessing the Edge and the Cloud Together for Visual AI” tutorial at the May 2018 Embedded Vision Summit. Embedded developers are increasingly comfortable deploying trained neural networks as static elements in edge devices, as well as using cloud-based vision services to implement visual intelligence remotely.

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“Improving and Implementing Traditional Computer Vision Algorithms Using DNN Techniques,” a Presentation from Imagination Technologies

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Paul Brasnett, Senior Research Manager for Vision and AI in the PowerVR Division at Imagination Technologies, presents the “Improving and Implementing Traditional Computer Vision Algorithms Using DNN Techniques” tutorial at the May 2018 Embedded Vision Summit. There has been a very significant shift in the computer vision industry over the past few years, from traditional

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“Architecting a Smart Home Monitoring System with Millions of Cameras,” a Presentation from Comcast

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Hongcheng Wang, Senior Manager of Technical R&D at Comcast, presents the “Architecting a Smart Home Monitoring System with Millions of Cameras” tutorial at the May 2018 Embedded Vision Summit. Video monitoring is a critical capability for the smart home. With millions of cameras streaming to the cloud, efficient and scalable video analytics becomes essential. To

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“The Perspective Transform in Embedded Vision,” a Presentation from Cadence

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Shrinivas Gadkari, Design Engineering Director, and Aditya Joshi, Lead Design Engineer, both of Cadence, present the “Perspective Transform in Embedded Vision” tutorial at the May 2018 Embedded Vision Summit. This presentation focuses on the perspective transform and its role in many state-of-the-art embedded vision applications like video stabilization, high dynamic range (HDR) imaging and super

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“Utilizing Neural Networks to Validate Display Content in Mission Critical Systems,” a Presentation from VeriSilicon

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Shang-Hung Lin, Vice President of Vision and Imaging Products at VeriSilicon, presents the “Utilizing Neural Networks to Validate Display Content in Mission Critical Systems” tutorial at the May 2018 Embedded Vision Summit. Mission critical display systems in aerospace, automotive and industrial markets require validation of the content presented to the user, in order to enable

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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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