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A Faster Implementation of Video Compression/Decompression on Multi-core Architectures

A Faster Implementation of Video Compression/Decompression on Multi-core Architectures. A Faster Implementation of Video Compression/Decompression on Multi-core Architectures. Dr. M. J. Nigam and Dr. R. Niyogi Deptt. Of Electronics & Comp. Engg. Indian Institute of Technology, Roorkee

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A Faster Implementation of Video Compression/Decompression on Multi-core Architectures

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  1. A Faster Implementation of Video Compression/Decompression on Multi-core Architectures A Faster Implementation of Video Compression/Decompression on Multi-core Architectures Dr. M. J. Nigam and Dr. R. Niyogi Deptt. Of Electronics & Comp. Engg. Indian Institute of Technology, Roorkee Dr. Ankush Mittal College of Engineering Roorkee

  2. Gratitude and acknowledgment for the last project

  3. Project goals • Multi-core implementations of standard algorithms (MPEG, H.264) • Multi-core implementations of bandwidth preserving recent algorithms (CEZW, MJPEG, content-based compression) • Machine dependent fast decompression • Multi-core implementation of integrated network streaming algorithm

  4. Types of multi-core PC and Laptop CUDA – GPU (nVIDIA) Workstation CELL (IBM)

  5. Why Multicore Architecture? • Moore’s Law • Increasing job size and problem complexity • Limitations in clock speed • Power saving requirements • Cost effective

  6. Overall Architecture Traditional system Split video into frames Inter - frame coding DCT based transform coding Network Transmission End User Save to disk Uploaded To server Our system Network Transmission Content based approach MPEG based Frame packaging* CEZW+ End User Bandwidth Estimation Save to disk Uploaded To server SDM

  7. Analysis Performance requirements met Resistance to low & fluctuating bandwidth Perceptible video quality Scalability In terms of no. of videos In terms of no. of users Simple & real-time decoder Encode once & decode at multiple bitrates Robustness

  8. Analysis Comparison with present systems RSVP & related systems Expensive for the end-user Realmedia, Quicktime, Windows Media Low, Medium, High bandwidth profiles Do not deal with educational videos Youtube & Google Videos Large waiting time & buffering requirements Extensive research in this field No end-to-end framework exists

  9. MPEG Encoding Process

  10. Parallelization of Encoder • Encoders can be parallelized at several level • Data per GOP • Data per Frame • Data per Macro Block

  11. The Cell B. E. Processor • A joint venture by IBM, SONY and TOSHIBA • Rated as super computer on a chip

  12. Architecture

  13. Time based deliverables • 1-3 months: Multi-Core Implementation (MCI) of MPEG-4 (H.264) along with documentation • 4-6 months: MCI of MJPEG • 7-9 months: MCI of CEZW • 10-12 months: MCI of Content based • 13-15 months: Decompression optimization • 16-18 months: MCI of integrated streaming • 19-24 months: Through testing, documentation

  14. Technologies Fall-outs • Developing a new e-learning video CODEC, • Providing a video interface for using the CODEC, • Developing standards for the streaming protocol, • Providing framework for network bandwidth optimized content delivery solutions.

  15. Expected Outcomes • Standardized development tools for E-learning courseware. • Software for content-based delivery and distribution of E-learning courseware. • Documentation and dissemination in terms of research papers of the methodologies and framework for enhanced E-learning.

  16. Total Budget outlay The budget will be shared by the two participating institutes equally (i.e., IIT Roorkee and College of Engineering Roorkee).

  17. About College of Engg. Roorkee • Established in 1998 • Admissions through AIEEE • Headed by ex-Vice Chancellor of IIT Roorkee, Prof. Gopal Ranjan • Ranked top in the northern region

  18. Work done • Dishant Ailawadi, Milan Kumar Mohapatra, Ankush Mittal, Frame-Based Parallelization of MPEG-4 on Compute Unified Device Architecture (CUDA), IEEE Int. Conference on Advance Computing (IACC’10), Feb. 2010 (accepted) • N. Parakh, A. Mittal, and R. Niyogi,  Optimization of MPEG 2 Encoder on Cell  B.E. Processor. Proceedings of the IEEE International Conference on  Advance Computing (IACC09), 6-7 March, 2009  pp2945--2949 • Amit Pande, Amit Verma, Ankush Mittal, Ashish Agrawal, Network Aware Content-based Resource Allocation for E-learning Systems, International Journal of Signal and Imaging Systems Engineering, Inderscience (accepted)

  19. Publications related to the project International journal paper • A. Mittal, S. Gupta, S. Jain, and A. Jain, Content-based Adaptive Compression of Educational Videos using Phase Correlation Techniques, ACM Journal of Multimedia Systems (Springer), vol. 11, no. 3, pp. 249-259, March 2006 • A. Mittal, C. Gupta and A. Gupta, Addressing the Bandwidth Efficiency, Control and Evaluation issues in Software Remote Laboratory, IEEE Transactions on Industrial Electronics, Special Issue on E-Learning and Remote Laboratories within Engineering Education, vol. 55 (6), pp. 2326-2333, June 2008

  20. M.J.NIGAM Professor Electronics & Computer Engineering Department Indian Institute of Technology Roorkee

  21. M.J.Nigam • B.Tech. degree in Electronics and Communication Engineering from Regional Engineering College, Warangal (AP.), India 1976. • M.E. degree in Electronics and Communication Engineering with specialization in Control & Guidance in 1978 • Ph.D. degree in Electronics and Computer Engineering in 1992 from University of Roorkee,Roorkee, India. • Presently Professor • Research interests: Digital Image Processing and Intelligent Control of Robot Manipulators. • Number of research articles in these areas have been published/ presented in various journals and Conferences.

  22. Research publications till date - 50+ • Ph.D. guidance – completed - 03 • Ph.D. guidance – in progress - 02 • M.Tech.guidance- completed - 45 • B.Tech.Projects guidance - completed - 14 • B.Tech.(SURA)Projects guidance - completed - 03 • B.Tech.SummerProjects guidance - completed -04 Overall Research Activities

  23. Dr. R. Niyogi • B. Tech. (Jadavpur Univ) • PhD (IIT Kharagpur) • From 2006, assistant professor at IIT-R

  24. Dr. Ankush Mittal • B. Tech. Computer Sc. & Engg. (IIT-Delhi) • PhD (The National Univ. of Singapore) • Worked in NUS as faculty for two years • From Jan. 2007 – Dec.. ‘09, associate professor; now Prof. at COER • Young scientist awards from NASI, ISCA, etc. • Outstanding teacher award, 2008, IITR • IBM Faculty award, US $10000

  25. Research and Thesis Supervision (Dr. Ankush Mittal) 170 Research papers (60+ in Journals) IEEE Transactions: 5 Springer: 9 Elsevier: 8 Two Books Thesis Completed 6 Ph.D. 23 M. Tech. 12 B. Tech. Research Grants 3 Completed 1 in progress

  26. THANKYOU

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