1 / 14

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.

benny
Download Presentation

Project introduction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related