Ceva

Video Stabilization Using Computer Vision: Tips and Insights From CEVA’s Experts

Articles, Ceva, Technical Articles /

This article was originally published at CEVA's website. It is reprinted here with the permission of CEVA. Demand is on the rise for video cameras on moving platforms. Smartphones, wearable devices, cars, and drones are all increasingly employing video cameras with higher resolution and higher frames rates. In all of these cases, the captured video […]

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Digital Video Stabilization: Smooth Footage Without Expensive Mechanics

Articles, Ceva, Technical Articles /

From drones to handheld devices, the rising demand for video cameras has made them ubiquitous, constantly driving down size and cost while pushing up resolution and overall quality. One of the main challenges in this field is stabilizing the image to generate clear, smooth footage. In this post, I would like to discuss the challenges

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Selective focus

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

Articles, Ceva, Technical Articles /

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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“The Evolution of Object Recognition in Embedded Systems,” a Presentation from CEVA

Algorithms, Ceva, Object Identification, Processors, Software, Tools, Videos /

Moshe Shahar, Director of System Architecture at CEVA, presents the "Evolution of Object Recognition in Embedded Systems" tutorial at the May 2015 Embedded Vision Summit. Camera-enabled devices have made great strides in performance and quality in recent years, but they still fall far short of human visual perception. To reach their potential, vision-enabled systems must

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Vision in Wearable Devices: Enhanced and Expanded Application and Function Choices

Algorithms, Articles, Augmented Reality, Ceva, Edge AI and Vision Alliance, Face Recognition, Gesture Control, NXP Semiconductors, Object Identification, Optical Character Recognition, Processors, Sensors and Cameras, Software, Technical Articles /

A version of this article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide

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May 2014 Embedded Vision Summit Technical Presentation: “Challenges in Object Detection on Embedded Devices,” Adar Paz, CEVA

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Adar Paz, Imaging and Computer Vision Team Leader at CEVA, presents the "Challenges in Object Detection on Embedded Devices" tutorial at the May 2014 Embedded Vision Summit. As more products ship with integrated cameras, there is an increased potential for computer vision (CV) to enable innovation. For instance, CV can tackle the "scene understanding" problem

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October 2013 Embedded Vision Summit Technical Presentation: “Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications,” Ilan Yona, CEVA

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Ilan Yona, Director of Imaging and Computer Vision at CEVA, presents the "Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. Image quality is a critical challenge in many applications, including smart phones, especially when using

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April 2013 Embedded Vision Summit Technical Presentation: “Using Advanced Algorithms to Bring Vision Capabilities to Power-Constrained Devices,” Adar Paz, CEVA

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Adar Paz, Imaging and Computer Vision Team Leader at CEVA, presents the "Using Advanced Algorithms to Bring Vision Capabilities to Power-Constrained Devices" tutorial within the "Using Vision Algorithms" technical session at the April 2013 Embedded Vision Summit. This presentation explores how image enhancement algorithms can close the gap between professional camera systems and mobile phone

April 2013 Embedded Vision Summit Technical Presentation: “Using Advanced Algorithms to Bring Vision Capabilities to Power-Constrained Devices,” Adar Paz, CEVA Read More +

The Gesture Interface: A Compelling Competitive Advantage in the Technology Race

Algorithms, Articles, Ceva, Edge AI and Vision Alliance, Gesture Control, NXP Semiconductors, Sensors and Cameras, Software, Technical Articles /

By Brian Dipert Senior Analyst, BDTI Editor-in-Chief, Embedded Vision Alliance Yair Siegel Director of Marketing, Multimedia, CEVA Simon Morris Chief Executive Officer, CogniVue Liat Rostock Marketing Director, eyeSight Mobile Technologies Gershom Kutliroff Chief Technical Officer, Omek Interactive This article was originally published at EE Times' Communications Design Line. It is reprinted here with the permission

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CEVAFaceDetection

Design Guidelines for Embedded Real-Time Face Detection Applications

Algorithms, Articles, Ceva, Face Detection, Processors, Technical Articles /

By Eldad Melamed Project Manager, Video Algorithms CEVA To read this article as a pdf file, click here. Much like the human visual system, embedded computer vision systems perform the same visual functions of analyzing and extracting information from video in a wide variety of products. In embedded portable devices such as Smartphones, digital cameras, and

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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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