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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
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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 needs • igolgi solutions run on standard, low-cost, off the shelf, IT computers enabling leading price/performance for any video compression application igolgi Inc .
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 .
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 igolgi Inc .
Video Distribution Continues 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 evolve more 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 equipment igolgi Inc .
Blades are significantly more efficient form factor : 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) igolgi Inc .
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 .
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 igolgi Inc .
igolgi codec algorithms and architecture allows for immediate scaling when more cores are available igolgi Inc .
Features Technologies igolgi Inc .
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 igolgi Inc .
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 igolgi Inc .
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 igolgi Inc .
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 H.264 Encoder Features • Baseline, Main, High Profile • Any 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 igolgi Inc .
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 igolgi Inc .
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 igolgi Inc .
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 igolgi Inc .
H.264 High Profile provides tools above Main Profile that enables 15-30% video quality improvement at the same bit rate igolgi Inc .
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 igolgi Inc .
Igolgi High Profile and Hierarchical GOP performance gains compared to Main Profile igolgi Inc .
Igolgi weighted prediction can provide up to 60% improvement during a fade, and 20% improvement during a dissolve video segment igolgi Inc .