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Xilinx



Kees Vissers of Xilinx delivers a technical presentation at the May 2014 Embedded Vision Summit.

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Paul Zoratti, ADAS Architect at Xilinx, delivers a technical presentation at the April 2013 Embedded Vision Summit.

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José Alvarez, Xilinx Engineering Director for Video Technology, delivers a technical presentation at the April 2013 Embedded Vision Summit.

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Semiconductor and software advances are enabling medical devices to derive meaning from digital still and video images.

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Machine vision technology is growing in adoption, and it has been and will continue to be deployed in a variety of application areas.

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Image enhancement functions are key elements of many embedded vision designs in improving downstream algorithms' ability to extract meaning.

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Dan Isaacs of Xilinx and Michael Fawcett of iVeia co-deliver a technical presentation at the September 2012 Embedded Vision Summit.

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Embedded vision applications deal with lots of data; a single 1080p60 24-bit color video stream requires nearly 3 Gbps of bandwidth.

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Rapidly emerging embedded vision applications require ability to do realtime processing of one or more HD video streams at high frame rates.

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Converting images from one color domain to another is a common and often misunderstood operation in embedded vision processing.

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