Links
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Application to the ICT 2008 event on 25-27 November 2008 in Lyon, France
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MORPHEUS presentation at VLSI SoC 2008 conference October 13-15 Rhodes Island, Greece.
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MORPHEUS-AETHER Autumn School and Workshop Oct 7-9 2008 in Lugano, Switzerland.
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RAW 2008,15th Reconfigurable Architectures Workshop. April 14-15, 2008. Miami, Florida, USA.
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MORPHEUS at DATE 2008 Munich, Germany 10-14 March 2008.
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Two papers at SYMPA08 conference. Fribourg, Switzerland, Feb. 11-13 2008.
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MORPHEUS presentation at CASTNESS, Rome, Jan. 16 2008.
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MORPHEUS presentation at the 4S final workshop, Prague Dec. 6 2007.
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Special session on MORPHEUS at SoC 2007, Tampere Finland November 19-21 2007.
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MORPHEUS-AETHER Autumn School and Workshop Oct 8-11 2007 in Paris.
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Invited Talk at ERSA 2007, June 25-28 2007, Las Vegas, Nevada, USA
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MORPHEUS  project  at  DATE April 16-20 2007 presents  in regular sessions, at the University booth and in workshops.
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MORPHEUS PRESS RELEASE
European project on course to develop a leading edge solution for embedded computing.
Released on March 26 2007.
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Intranet THALES press release, March 07 2007.
A significant dissemination opportunity for Morpheus, organizing a presentation at the International Symposium of Systems-on-Chip that on November 2007.

You can find details on the Symposium at the Tampere University web site
as well as the technical program. The International Symposium on System-on-Chip is a well established venue, very oriented to industrial exploitation of research outcomes.

Details about the contribution from MORPHEUS are shown below:
TUE Nov. 20
SESSION Tue Pm4: Sensing and Image Processing SoC
Time: 16:05 INTELLIGENT CAMERAS AND
EMBEDDED RECONFIGURABLE COMPUTING:
A CASE STUDY ON MOTION DETECTION
Claudio Mucci, Luca Vanzolini, Antonio Deledda,
ARCES - University of Bologna, Italy;
Fabio Campi, STMicroelectronics,Italy;
Gerard Gaillat, THALES Optronique S.A., France

Abstract

Image processing for intelligent cameras like those used in video surveillance applications implies computational demanding algorithms activated in function of non predictable events, such as the content of the image or user requests. For such applications, hardwired acceleration must be restricted to a minimum subset of kernels, due to the increasing NREs when application update becomes necessary. Embedded reconfigurable processors, coupling in the same computing engine a general purpose embedded processor and field-programmable fabrics, provide an appealing trade-off point between pure software and dedicated hardware acceleration. As a case-study, this paper presents the implementation of a set of image processing operators utilized for motion detection on the DREAM adaptive DSP. With respect to pure software solutions, the proposed implementation achieves a performance improvement of 2-3 orders of magnitude, while retaining the same degree of programmability and the same economical perspectives from the end-user point of view of processor-based approaches.



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