Archive | Computer Vision

Video Stabilization Using Computer Vision: Tips and Insights from CEVA’s Experts (Part 2)

Ben Weiss – Imaging & Computer Vision Developer Yury Schwarzman – Imaging & Computer Vision Team Leader In our previous post, we took a look at some of the aspects that make video stabilization a must-have feature in many different camera applications. We then dove into the details of the first two stages of the […]

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Deep Learning and Low Power Vision Processing are the key to Autonomous Driving – Thoughts from the IS-Auto 2016 Conference

As we enter into the realm of fully autonomous vehicles over the next decade, automotive Tier-1s and OEMs are striving to solve many unique challenges.  Challenges being addressed range from government policy and public acceptance through to solving the key technological challenges that are critical to help deliver on the promise of full automobile autonomy.  […]

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Video Stabilization Using Computer Vision: Tips and Insights from CEVA’s experts

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 tends to suffer from shaky global motion and rolling shutter distortion, making stabilization a necessity. Integrating an […]

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Improving Timing Correlation to Synthesis in Advanced Process Nodes

In theory, physical synthesis tools have all the necessary information about the layout; in practice, they must be correlated very carefully to real-world layout data. The design of a chip involves many stages, from system specification and architectural design, all the way to the fabrication and packaging of the final silicon that goes into a […]

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Linley Analyst Awards Winner for 2015: CEVA-XM4 Vision Processor

We are proud to share with you that our fourth generation imaging and vision DSP, the CEVA-XM4 intelligent vision processor, has been named “Best Processor IP of 2015” by semiconductor industry technology analyst, The Linley Group. Download Linley’s announcement on CEVA-XM4. Linley’s “Best Processor IP” category covers a broad range of licensable processor cores including CPUs, DSPs, […]

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Voice Isolation: When Noise Reduction Meets Deep Learning

Sometimes it’s easy to forget that a smartphone is also a telephone. With all the fantastic functions and features, somehow people have grown accustomed to the occasional dropped syllable and garbled sounds that make us repeat ourselves time and again. A recent article in Scientific American suggests that the fault is with the service providers. […]

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How Computer Vision Empowers Autonomous Drones

Computer vision technology is complementing GPS sensors in visually smarter drones in a quest to have autonomous features like object tracking, environment sensing, collisions avoiding and more. At the same time, 4K video, now a must-have feature, and other functions like 3D depth map creation pose significant computational challenges for the high-quality image- and video-processing […]

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The Case for Local Intelligence in IoT-centric Surveillance Devices

The network-centric security and surveillance industry enabled by the IP-based cameras has been steadily progressing over the years. Now the advent of the Internet of Things (IoT) promises to turn this segment into a mass surveillance infrastructure. However, the crossover between IoT and surveillance is also demanding the edge devices like security cameras to get […]

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How Computer Vision is Reshaping the Four Key Growth Segments of 2016

Computer vision and computational photography are an intrinsic part of the Internet of Things (IoT) arena where cameras and sensors reign supreme. This blog offers a quick overview of how computer vision technology is transforming the most crucial markets in 2016: mobile, automotive, security and surveillance, and drones. Mobile The digital camera in smartphones is […]

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