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.

1. Introducing - JPACK™
JPEG Recompression Solution
Presentation for Online
Image Storage Vendors
November 2008
www.infima-compression.com

2. http://online.wsj.com/article/SB122227783086271727.html

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. 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. www.myinfima.com

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. 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. 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. 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. 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. Field Tested Technology
Infima’s technology has been tested by world
leading companies

12. Target Markets
Online image archiving vendors
Social networks
Stock photo agencies
Online photo printing vendors
Image sharing websites

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. 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. 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. 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. 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. Get your JPACK Evaluation
Kit today and start saving