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igolgi Inc .

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igolgi Inc. igolgi has developed native multi-core parallel video compression and processing solutions igolgi solutions are 100% software based architectures allowing customers to define optimized features that meet their video workflow needs - PowerPoint PPT Presentation
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igolgi has developed native multi-core parallel video compression and processing solutions igolgi solutions are 100% software based architectures allowing customers to define optimized features that meet their video workflow needsigolgi solutions run on standard, low-cost, off the shelf, IT computers enabling leading price/performance for any video compression application

igolgi Inc .

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We believe IT equipment can provide a significant price/performance

advantage for video applications for Broadcast, Internet, and Mobile

Markets

Video Equipment is traditionally built with inflexible hardware platforms

Such as FPGAs, ASICs, DSPs, etc.

Traditional platforms provide static features, limited video quality,

and very limited flexibility

igolgi is building IT platform based Digital Video Processing Solutions

that provide a breakthrough in price/performance, flexibility and novel

features

igolgi Inc .

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igolgi Inc. was founded in early 2007, self-funded to date

Management Jeffrey Cooper, Chairman and Chief Executive Officer

Over 18 years design experience of video compression technology MSEE Purdue Prior Experience

Compression Research Director and GM R&D Thomson. Princeton, NJ Key contributor to MPEG2 receiver and IC implementations for several industry firsts

including satellite, DVD , and HDTV. Key contributor to early H.264 implementations in the industry and several standard

contributions Over 40 pending or issued patents in the fields of video compression and signal processing

Dr. Kumar Ramaswamy, President Over 17 years of product and business development PhD, Rensselaer Polytechnic Institute Prior Experience

CTO, Thomson Inc’s $4 Billion Systems Division including Grass Valley and Consumer Products

Head of Corporate Research, Thomson Inc, a 440 person organization 66 US patents, over 80 patents pending Strategic Advisor and Board Member of a number of start ups

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Video DistributionContinues to expand into larger formats and increased compression complexity such as H.264, 1080p, and 3D

At the same time, the IT industry continues to evolvemore powerful CPUs that have the capability to supplant traditional dedicated hardware solutions for video

Multi-Core finally provides a software platform that can provide massive benefits for video equipmentigolgi

Inc .

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Reduce power requirements

Reduce cooling cost (less heat and less airflow)

Reduce weight Decreased footprint Decreased

footprint

Reduce the ‘churn’ needed to bring on new

technology

Reduce points of failure and increase RAS

(reliability, availability, serviceability)

N + 1 redundancy offers large savings over N+N

Speed deployment and future scalability

Drive out cable complexity

(e.g. remove 128 cables/chassis)Drive out costs to reduce Total Cost of

Ownership (TCO)

Blades are significantly more efficient form factor :

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Amdahl's LawPerformance increase for a 256 core

processor vs algorithm parallization percentage

Modern Computer Architectures are multi-core (less than 10 cores)

Over the next 5 years, multi-core will become many-core” with 10s of cores

It is a technical challenge to optimize video Performance on many core processors.

According to Amdahl’s law from computer science, a high percentage of the algorithm must be able run in parallel. The performance of applications that do not have a high level of parallelism is poor due to the limit of sequential operations

In addition, overhead of memory accesses and core to core communication must be minimized to achieve high performance on many core processors

In early 2007, igolgi began designing parallel algorithms for video processing that will scale from

Today’s multicore chips to tomorrow’s many core chips. This work has resulted in highly efficient

Parallel execution of complex video functions necessary for media compression

igolgi Inc .

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Parallel Video Compression

We have developed novel video compression algorithms in combination with an advanced software architecture built for dense multi-core platforms.

Motion estimation, mode decision, rate control, and other advances in algorithms

Software Architecture from ground up for parallel processors

Scalable Codec's supporting from HD to Mobile apps

Scales to 100s of cores

Intelligent Load Balancing to enable multi-format/multi-codec simultaneous processing

Completely flexible and dynamic

Novel pre-analysis technologies to optimize encoder performance

Video segmentation, feature recognition and algorithmic tuning

30%+ more efficient compared to traditional software architectures

Patent disclosures filed in the fields of parallel video compression algorithms and unique product functionalities

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igolgi codec algorithms and architecture allows for immediate scaling when more cores are available

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Technologies Features

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igolgi Video Compression Products are native software applications offering ultimate in flexibility and scalability

Native Parallel codecs that scale with the evolution of multi-core density

Real Time and Non-Real Time Applications

Dynamic codec control allows to change codec parameters instantly

Mix/match the channels and resolutions as needed

Integrate Customer specific interfaces or functions as desired to fit your system requirements

Over Time, upgrade to next gen multi-core and seamlessly increase your channel density

Leverage Multi-Core CPU Trends

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Blade Chassis

Ideal for High Channel Density installations Variety of Vendors and Densities Standard 2 Gig Ethernet per Blade Optional IB, 10Ge I/O Lowest TCO Redundant Power Supplies Integrated Switching Modules – reduced cabling N+1 Redundancy - big cost savings Upgradeable to next gene multi-core blades

1U , 2U, 4U Servers

Ideal for Small Footprint Installations Variety of Vendors Standard 2 Gig Ethernet PCI expandability Integrated HDD options Optional I/O HD-SDI , composite, ASI, others Portable Redundant Power

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IBM Blade Chassis

Ideal for High Channel Density Installations 14 Blades in a 9U Chassis Standard 2 Gig Ethernet per Blade Optional IB or 10 Ge Lowest TCO Redundant Power Supplies Integrated Switching Modules – reduced cabling N+1 Redundancy - big cost savings Upgradeable to next gen multi-core blades – re-use I/O, power, etc

Mercury 1U Server

Ideal for Low Channel Density Installations Standard 2 Gig Ethernet Optional IB or HD-SDI I/O Portable

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H.264 Encoder Features

Baseline, Main, High ProfileAny Resolution Frame Support

I,P,B , Hierarchical GOPS Max Multiple reference frames WP implicit mode Adaptive De blocking

Mode Decision/Motion Estimation All Block Sizes RDO based mode and motion estimation

algorithms All intra and inter modes supported down to

4x4 Search to 1,1/2,1/4 pel accuracy Motion Vectors over picture boundaries 8x8 transform

Pre-Analysis

2 Pass mode (programmable look-ahead)

Scene detection Image Analysis

– Complexity analysis– Skin Detection– Texture analysis – Edge detection

Rate Control HVS based quantization

control Load balanced rate control

with mode/me decision Programmable look ahead

delay

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Igolgi codec algorithms provide Very High Quality Performance with the ability to create Visually Lossless Quality demanded for some applications

1st Pass Look Ahead Period Programmable to allow small or large latency

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Igolgi two pass architecture provides smooth bit rate resulting in high video quality and accurate rate control

First pass also provides essential video characteristic data that improves second pass mode decisions

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Igolgi proprietary image segmentation and analysis identifies macro block level characteristics that enable intelligent mode, motion, and rate control decisions.

Result is higher video quality tuned to human perception

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H.264 High Profile provides tools above Main Profile that enables 15-30%

video quality improvement at the same bit rate

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Hierarchical GOPS provide typically 10% improvement in video compression performance by leveraging more B frames per GOP on average (less P frames)

Temporal scalability is also enabled

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Igolgi High Profile and Hierarchical GOP performance gains compared to Main Profile

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Igolgi weighted prediction can provide up to 60% improvement during a fade,

and 20% improvement during a dissolve video segment

igolgi Inc .


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