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Project introduction

Project introduction. 1 st EC Review Meeting, Brussels Febr 21 st , 2003. IEEE Computer September 2002. Smart Camera application areas. Consumer. Surveillance. Mobile. Automotive. Mobile Camera and other Markets. 3000. Other. Biometric. 2500. Automotive. 2000. PDA/ handhelds.

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Project introduction

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  1. Project introduction 1st EC Review Meeting, Brussels Febr 21st , 2003 W. M. Kruijtzer / Philips 21 Febr 2003

  2. IEEE ComputerSeptember 2002 W. M. Kruijtzer / Philips 21 Febr 2003

  3. Smart Camera application areas Consumer Surveillance Mobile Automotive W. M. Kruijtzer / Philips 21 Febr 2003

  4. Mobile Camera and other Markets 3000 Other Biometric 2500 Automotive 2000 PDA/ handhelds Toys 1500 PC Camera Digital Still Camera 1000 Security 500 Digital Camcorder Analog Camcorder 0 Mobile Communication 2002 2003 2004 2005 2006 M$ Huge Market : Need to differentiate => Smart Imaging Source: PL Imaging Solutions W. M. Kruijtzer / Philips 21 Febr 2003

  5. Overview of Camellia Core for Ambient and Mobile intELLigent Imaging Applications W. M. Kruijtzer / Philips 21 Febr 2003

  6. Goal Low-Cost and Low-Power Video Processor for Automotive and Mobile Applications with Intelligent Imaging Capabilities ARM ARMmemory SW smart imaging motionestimator textureencoder streamprocessor bridge HW assist ASIP imagememory W. M. Kruijtzer / Philips 21 Febr 2003

  7. Camellia EP 34410 -- Consortium... Project • Start 1st April 2002; Duration: 30 months • Effort: 26.4 py ( EC Budget = 2.3Meuro ) Partners • PEN: Philips Research & PS/PLI (6.3 py) • CAOR: ARMINES & ENSMP (5.2 py) • PSH: Philips Semiconductors Hamburg (4.3 py) • REN: Renault (2.5 py) • UH: University of Hannover (3 py) • ULP: University of Las Palmas G.C. ( 5.1 py) W. M. Kruijtzer / Philips 21 Febr 2003

  8. … key contributions Center of gravity Application Algorithm Mapping Architecture PSH Renault ULP ENSMP UH CSI Philips Research W. M. Kruijtzer / Philips 21 Febr 2003

  9. Specification phase: Classification and selection of automotive and mobile smart imaging applications Algorithm phase: Provide four (2 automotive + 2 mobile) algorithms to support the application scenarios defined in the specification phase Mapping phase: Exploration of smart-imaging architecture extensions Architecture phase: Specification of smart imaging architecture extensions to enable smart imaging as explored in the mapping phase Integration phase : Develop prototype of the smart imaging core Validation phase : Evaluate effectiveness and flexibility of smart imaging core CAMELLIA in a nutshell W. M. Kruijtzer / Philips 21 Febr 2003

  10. Key project milestones • M9. Template of architecture available; Initial algorithms 1 and 2 ready (M11). • M18.Mapping results for all four initial algorithms ready. • M27.Prototype system available demonstrating all 4 smart imaging applications. • M30. Validation results available. End of project W. M. Kruijtzer / Philips 21 Febr 2003

  11. Work plan Q1-02 Project start WP2 Specification Initial architecture template and algorithms ready WP3Algorithm WP4Architec-ture Q4-02 WP5Mapping Mapping results for all initial algorithms ready Q3-03 WP6 Integration Prototype system demonstrating imaging applications Q2-04 WP7 Validation Validation results available. End of project Q3-04 W. M. Kruijtzer / Philips 21 Febr 2003

  12. Conclusions • Camellia brings together System Integrators, a Semiconductor Vendor , and Universities to develop and apply a smart imaging core • It adopts a video encoder architecture • It asserts the smart imaging core against the requirements of two application domains • Mobile • Automotive • It validates the resulting core through implementation on a prototyping environment W. M. Kruijtzer / Philips 21 Febr 2003

  13. Workpackage overview WP2Specification WP3Algorithm WP5Mapping WP4Architecture WP1ProjectMngmt WP8Dissemi-nation WP6Integration WP7Validation W. M. Kruijtzer / Philips 21 Febr 2003

  14. CAMELLIA in a nutshell WP2Specification WP3Algorithm WP5Mapping WP4Architecture WP6Integration WP7Validation • Main challenge is the mapping of smart imaging algorithms onto a video encoder architecture. Smart imaging is an important enabler of ambient intelligent • Specification phase: • Classification and selection of automotive and surveillance smart imaging applications (scenarios) • Algorithm phase: • Provide four (2 automotive + 2 surveillance) algorithms to support the application scenarios defined in the specification phase • Architecture phase: • Definition of smart imaging architecture template including extensions to enable smart imaging as explored in the mapping phase • Mapping phase: • Exploration of smart-imaging architecture extensions • Integration phase : • Develop prototype of the smart imaging core • Validation phase : • Evaluate effectiveness and flexibility of smart imaging core W. M. Kruijtzer / Philips 21 Febr 2003

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