Jpack presentation

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A presentation we've made to potential customers such as image archiving vendors (such as Yahoo! Flicker application, Google Picasa application, Gettyimages Etc.). This presentation has shown the marketing and technical benefits that the vendor who will embed Jpack, enjoy.

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Jpack presentation

  1. 1. Introducing - JPACK™ JPEG Recompression Solution Presentation for Online Image Storage Vendors November 2008 www.infima-compression.com
  2. 2. http://online.wsj.com/article/SB122227783086271727.html
  3. 3. The needs  Cost saving is a clear need to any business in the coming days of the recession.  Data is increasing in a non-linear manner and requires more infrastructure.  Bandwidth is becoming crowded…  User Experience is still an issue. Slow upload time is a barrier.
  4. 4. The Challenge  Combining multiple needs into one elegant solution  Reduces JPEG sizes by a significant compression ratio  A solution fast enough for server multi process applications  Decreases image upload/download time  Preserving image quality  Minimal integration efforts  Solution with minimal or no infrastructure  Transparency on both server side and client side
  5. 5. www.myinfima.com
  6. 6. JPACK™ SDK Features Fastest JPEG re-compression SDK Average of 25% file size reduction and Up to 80% Improving download and upload operations Lossless, bit-exact compression technology (guaranteed CRC reversibility) Seamless integration into both server and client sides of the application
  7. 7. Sample Results Best Ratio Mode Compressed Compression size Ratio Compression rate 500KB/Sec KB 706 % 25.2 Fastest Mode Compressed Compression size Ratio Compression rate 2MB/Sec KB 814 % 13.21 File name Source size 05282008146.jpg KB 938 05282008147.jpg KB 878 KB 663 % 24.47 KB 775 % 11.73 05302008150.jpg KB 655 KB 451 % 31.14 KB 567 % 13.43 05312008151.jpg KB 930 KB 664 % 28.6 KB 820 11.82 % 06042008152.jpg KB 600 410 KB % 31.66 KB 523 % 12.83 07042008170.jpg KB 693 KB 597 % 13.85 KB 613 % 11.54 07042008174.jpg KB 516 KB 367 % 28.87 KB 454 % 12.01 07042008175.jpg KB 622 KB 536 % 13.82 KB 543 % 12.7 07042008176.jpg KB 558 KB 400 % 28.31 KB 480 % 13.97 www.myinfima.com
  8. 8. Workflow User registers for the service – Installs ActiveX or Exe which contains also the Infima Compressor/De-compressor User uploads images – JPEG, GIF, TIFF, and BMP Infima’s NCM makes the best quality lossless compression on the Images: ~ 25% for JPEG, ~ 52% for PDF, ~ 75% for TIFF Converting to LAN format locally (on his PC) Uploading the images over the net saving bandwidth and enhancing user experience Multi-scaling to smaller images (The smallest will be JPEG in any case) Showing thumbnails in downscaled JPEG format (Not compressed) Upon request to show high resolution image – decompression to original or to JPEG Upon request to download the image User has NCM decoder User doesn't have NCM decoder Downloading as is, saving bandwidth and enhancing user experience Decompression on server and downloading
  9. 9. Technology Highlights          A novel US patent-pending compression algorithm Based on a Learning System, uses Neural Network which understands and analyses the data A unique proprietary compression formats Able to re-compress previously compressed formats. Able to compress to standard formats Sub-modeling for specific data enhances the capabilities Up to 95% lossless compression of raw data Up to 25%-30% lossless compression of JPEG “Backwards compatibility guaranteed”
  10. 10. Technology Benchmark TIFF ZIP JPEG PNG MS WORD GIF PDF LZ 24% 1% 4% 25% 23% 5% 35% LZ77 30% 1.50% 5% 20% 27% 7% 37% (Infima (PLAN 75% 25% 25% 50% 57% 25% 52%
  11. 11. Field Tested Technology Infima’s technology has been tested by world leading companies
  12. 12. Target Markets Online image archiving vendors Social networks Stock photo agencies Online photo printing vendors Image sharing websites
  13. 13. Case Study Based on data collected from a leading social network company, Infima estimates it can save: Current Storage Capacity 600 Current Storage Savings Additional Annual capacity 200 Additional Annual Savings 1250000 TCO - 1TB 25000 Annual Bandwidth Savings 1500000 Bandwidth Monthly Cost 500000 (Average file size (KB 1024 Average user upload rate ((Kbps 128 3750000 Total 1st Year Savings 6500000 Upload time savings ((Sec/file 2
  14. 14. Risk Free Business Model Cost Saving Revenue Sharing model - Pay us according to what you save! Minimal commitment - Minimal down payment and usually no NRE Alternative Licensing model One time license + Support Server Licenses + Client Licenses or Decoders
  15. 15. Comparison to Storage Optimizers JPACK™ SDK Storage optimizers (Ocarina Network / Storewize) Location Server and/or Client side Server side only Storage cost saving + + Bandwidth cost savings + - Enhancing user experience (decreasing upload time) + - Adding latency - + Need to purchase new infrastructure - + Bit2bit reconstruction + - Transparency + (part of your application) (External addition) Format Proprietary Proprietary
  16. 16. JPACK evaluation kit  Evaluation SDK  60 days activated trial version of our SDK,  Providing 2 modes of action – fast or best  JPEG dataset - 42 images of different levels and sizes.  Performance evaluation report – analyses compression results of the above dataset  DIF – bit-2-bit verification tool  JPACK™ brochure
  17. 17. JPACK SDK  JPEG formats    Operating System   Windows Vista, XP, 2000, 98, NT 4.0 Product Architecture   All JPEG formats Arithmetic, Progressive and RAW 32Bit Compatible Containers  Microsoft Visual Studio: C#/C++/VB 2008, C#/C+ +/VB 2005, .NET, 2003, .NET, C++/VB 6.0  Product Type   Library Size   100K-200K Delivered as   Component DLL/Shared Object System Requirements:   Minimal 40MB ROM 32-bit architecture. (64-bit versions of Windows currently not supported).
  18. 18. Get your JPACK Evaluation Kit today and start saving

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