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Interview With Professor Jitendra Malik, UC Berkeley, Part Two (August 17, 2011)

Jeff Bier, Founder of the Embedded Vision Alliance, interviews Jitendra Malik, Arthur J. Chick Professor of EECS at the University of California at Berkeley, on August 17, 2011. Bier and Malik discuss computer vision's history, current status, and future trends. This is part two of a three-part video series. Please click here for part three.

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Interview With Professor Jitendra Malik, UC Berkeley, Part Three (August 17, 2011)

Jeff Bier, Founder of the Embedded Vision Alliance, interviews Jitendra Malik, Arthur J. Chick Professor of EECS at the University of California at Berkeley, on August 17, 2011. Bier and Malik discuss computer vision's history, current status, and future trends. This is the final part three of a three-part video series.

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September’s Initial Embedded Vision Alliance Member Summit: A Resounding Success

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI On September 20, representatives from 18 (of 20 to-date total) Embedded Vision Alliance member companies met in San Jose, CA at the facilities of Alliance member Xilinx. The daylong series of briefings, planning sessions and relationship-building opportunities were judged highly rewarding by all in attendance,

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Embedded Vision Insights: A Monthly Email Newsletter We’re Confident You’ll Like

On September 20th, the Embedded Vision Alliance published the first edition of its monthly email newsletter, Embedded Vision Insights. Encompassing four key sections: Featured Videos Featured Articles Featured Forum Discussions, and Featured News the newsletter's fundamental intent is to showcase material published in various areas within the EVA website each month. And in the near

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How Does Camera Performance Affect Analytics?

By Michael Tusch Founder and CEO Apical Limited Camera designers have decades of experience in creating image processing pipelines which produce attractive and/or visually accurate images, but what kind of image processing produces video which is well-purposed for subsequent analytics? It seems reasonable to begin by considering a conventional ISP (image signal processor). After all,

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Design Guidelines for Embedded Real-Time Face Detection Applications

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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