Embedded Vision Insights: June 18, 2015 Edition

Dear Colleague,

I'm happy to report that the first few presentation videos from the recent Embedded Vision Summit are now published. In the first, Bruno Lavigueur, Synopsys’ Project Leader for Embedded Vision, presents "Tailoring Convolutional Neural Networks for Low-Cost, Low-Power Implementation," which includes a demonstration of a face detection application running on a dedicated multi-core platform optimized for CNN-based applications.

In a separate video, Synopsys' Pierre Paulin, Director of R&D for Embedded Vision, speaks on "Low-power Embedded Vision: A Face Tracker Case Study," highlighting an application inspired by the Tracking-Learning-Detection (TLD) algorithm mapped onto an embedded vision processor. In addition, videantis delivers the presentation "3D from 2D: Theory, Implementation and Applications of Structure from Motion." Vice President of Marketing Marco Jacobs, a regular contributor to the Alliance website, delves into detail on a unique combination of algorithms that extract depth information using a single 2D moving camera.

I'd also like to draw your attention to the first published video presentation from the Embedded Vision Alliance Member Meeting. Professor Lina Karam, IEEE Fellow and Director of the Image, Video & Usability Lab at Arizona State University, who is also the General Chair of the upcoming 2016 IEEE International Conference on Image Processing (ICIP), describes the objectives and details of the event, including participation opportunities involved in the all-new Visual Technology Innovation Award. The 2016 ICIP is scheduled for September 25-28 in Phoenix, Arizona and the Alliance will be an active participant; this year's ICIP will take place September 27-30 in Quebec City, Canada.

For timely notification of the publication of additional videos from the Embedded Vision Summit and Embedded Vision Alliance Member Meeting, along with other website content, subscribe to the website's RSS feed and/or the Alliance's Facebook, Google+, LinkedIn company and group, and Twitter social media channels.Thanks as always for your support of the Embedded Vision Alliance, and for your interest in and contributions to embedded vision technologies, products and applications. If you have an idea as to how the Alliance can better service your needs, please contact me.

Brian Dipert
Editor-In-Chief, Embedded Vision Alliance

Texas Instruments Discusses DSPs for Embedded Vision: History, Current Status and Future Trends
In this video, Texas Instruments employees Mark Nadeski and Arnon Friedmann discuss DSPs and embedded vision. This 4th episode in TI’s DSP Breaktime video series covers topics such as the following:

• Why are DSPs good for embedded vision?
• The Embedded Vision Alliance and TI's role in it
• Key learnings from the 2015 Embedded Vision Summit
• OpenCV status and plans on TI’s processors.

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