Bringing Media Analytics into View

Video content will become richer and more data-intensive as it evolves from HD to 4K to 360° and even 8K. Companies are moving these visual workloads to the cloud and edge in order to keep up with capacity, growth and service demands. With the emergence of edge computing and cloudified, 5G networks, organizations have an opportunity to deliver insights through artificial intelligence (AI) that complement new user experiences and are adaptable to the complexities of delivering video content to a global audience.

Companies need a visual cloud and media analytics platform that is flexible enough to support changing business models and deployment options, software that enables rapid innovation, and hardware that can scale to provide a range of performance, all while being able to lower total cost of ownership and grow profitability. Intel launched the Intel® Select Solutions for Visual Cloud to give companies an easier path towards successful content creation and delivery starting with the Intel Select Solution for Simulation and Visualization and Intel Select Solution for Visual Cloud Delivery Network. We are now proud to help customers realize the benefits of AI to video content with Intel Select Solution for Media Analytics.

Intel Select Solutions for Visual Cloud

Like the other solutions for visual cloud, the Intel Select Solution for Media Analytics starts with the performant foundation of the dual socket 2nd generation Intel® Xeon® Scalable processor family. With the integration of Intel Deep Learning Boost, the solution offers higher inference performance and up to 14x throughput over the first generation Intel Xeon Scalable processor family.

This new solution can help businesses achieve a lower cost per stream. Intel has also launched an enhanced configuration of the solution supporting a higher density stream per system for video analytics with the inclusion of the new Visual Cloud Accelerator Card – Analytics (VCAC-A). This acceleration card combines video inference acceleration with high efficiency FP16 precision to manage 24 streams at 1080p 30FPS with up to 144 streams per server with six cards. China Mobile is using a  VCAC-A for a Smart Factory solution based on machine vision for edge computing deployments in steel, textile, and machinery manufacturing use cases.

Integrating Open Visual Cloud

Preconfigured pipelines from the Open Visual Cloud project are included as Docker containers in the Intel Select Solution for Media Analytics. This gives businesses the flexibility to incorporate their own custom, deep learning algorithms with the OpenVINO™ toolkit, which supports the import and optimization of different frameworks, such as ONNX or TensorFlow, or an organization’s existing software stack.

The solution currently supports two reference pipelines.

  • Smart cities: Uses real-time video from traffic cams to identify heat maps
  • Ad-insertion that looks for objects, faces, and emotions within a video program and then selects the best match from a pool of ads based on performers, sentiment or product.

Adoption of this solution needs a supportive ecosystem. I am thrilled to share that both Celestica and Lenovo announced their commitment to deliver Intel Select Solution for Media Analytics in the coming weeks, and with a growing customer list in the pipeline following suit.

The Power of Intel

Developed in partnership with communication service providers and ecosystem partners to meet real world requirements, the Intel Select Solution for Media Analytics offers optimized and pre-tested configurations to eliminate guesswork and complexity in order to accelerate time-to-deployment of analytics solutions that address growing market needs. Only Intel has the breadth of hardware, processing and networking products, and a commitment to software optimization that gives companies a flexible platform to deliver today’s rich visual experience.

For more information, visit www.intel.com/visualcloud

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Lynn Comp

About Lynn Comp

​Lynn A. Comp, Vice President, Data Center Group, and General Manager, Visual Cloud Division, Network Platforms Group, is responsible for the P&L associated with visual cloud projects across the Intel Data Center Group (DCG), driving strategy development and execution across hardware and software to accelerate the delivery of solutions for graphics, media and video processing, immersive media, and video/media analytics. Comp joined Intel in 1999 as part of Intel's acquisition of Digital Semiconductor's StrongARM processor team, where she was responsible for both marketing and technical support of mobile system-on-a-chip designs. She has since applied her extensive experience in marketing, product management, product planning and strategy development to drive cross-domain and cross-industry innovation, from the early days of the Data Plane Development Kit (DPDK), through to the recent Intel® Xeon® Scalable processor launch. Comp has a Bachelor of Science in Electrical Engineering from Virginia Tech, and an MBA from University of Phoenix.