<p> The demand for mobile video is exploding. With the increasing urgency of people's demand for multimedia access anytime, anywhere, TV receiving services come into being. For service providers, this poses a huge challenge for supporting infrastructure equipment: the performance required to process video from the media gateway must meet the requirements of low power consumption so as not to place an excessive burden on the infrastructure, but At the same time, it must meet the requirements of cost control and sustainability.

The new processor and streaming media architecture have obvious advantages in the realization of video conversion encoding. Some new products have a power / density ratio increased by as much as 15 times, which can help create high-performance, low-power mobile video platform solutions.

Development of mobile video and TV receiving services anywhere

In the second half of 2009, according to some market analysis, YouTube processed an average of about 1 billion video visits per day. In 2008, the number was still 6 million. More reports indicate that by 2015, 12 billion devices (including TVs, desktop computers, notebooks, netbooks and smart phones) will have access to 500 billion hours of video information. (Source: Intel). By 2013, the number of mobile video phones will reach 400 million (source: Xuntai). In 2012, video will account for 90% of all Internet traffic; in 2013, video will account for 70% of all mobile communications traffic (Source: Cisco). Obviously, there is a huge consumer demand for extensive and easy-to-access video content, and this demand is increasing rapidly with Japan. To meet this demand and maintain accessibility, the number of servers, video streams, and media gateways used to process and deliver such video content must all expand exponentially with the explosion in processing workloads. Compared to sound signals and other typical Internet content, video requires a higher level of processing power, especially when the video is transmitted to various types of browsing client devices. Of course, increased processing power also means increased energy consumption.

Video transcoding is the main part of this type of processing load. Combined with the above growth, this task has caused a huge potential energy consumption increase, which puts a lot of pressure on the existing infrastructure.

Demand for video conversion encoding

The video to be distributed comes from various capture devices, which have different resolutions and encoding capabilities. For example, a CIF smartphone with MPEG4 encoding or a 720-pixel camcorder with H.264 encoding can be used as the capture device. Similarly, client devices used to receive video also have different decoding capabilities (the decoding capabilities vary depending on the device's function or the number of processor cycles), for example, QCIF H.263 cellular phones, decoding high-definition H.264 High-end laptop. The purpose of uploading the video to play and / or store on the network is to hope that anyone can watch it. However, there is still no rigid or universal video exchange standard. To meet this goal, video distribution and network service providers must provide transparent transcoding capabilities.


Video conversion encoding: establish a connection between any video client and any video source

In addition, people's expectations for video transmission have become requirements for real-time video transmission without first downloading part or all of the video file to the client device's buffer, especially for Internet TV and surveillance systems. This demand for real-time transmission increases the load on the video transmission system and, at the same time, also increases energy consumption.

Transcoding / streaming platform architecture

For a long time, audio code conversion equipment has been one of the core devices of the network, and it is usually realized by special hardware based on DSP. However, this is not the case with video encoding conversion. Typically, transcoding and live streaming video devices are based on standard server platforms, especially in environments close to video storage locations. This is mainly because most video transmission services are based on the Internet (even though the vast majority of browsing clients are mobile phones). This means that most video transcoding functions are performed by server-based network infrastructure. Therefore, x86 server platforms provided by companies such as Dell and Hewlett-Packard are very common for video encoding conversion. In addition, once the x86 platform is used to achieve baseline streaming video capabilities, manufacturers and video service providers will generally want to expand the capabilities of their products to include live peer-to-peer video communications and video conferencing capabilities.

There are other reasons for the widespread use of x86 in video conversion encoding. For example, as the demand for video grows, more and more people are able to provide transcoding equipment, but not everyone has the video CODEC IP available or has the required experience and resources. There are a large number of open source codecs that support x86 in the market. In addition, Internet service providers who wish to provide video services are already equipped with x86 devices. In this way, the availability of video codecs and x86 hardware devices makes x86 popular, but its efficiency in decoding conversion is extremely low.

Because x86 is a general-purpose processor, it can be used in many occasions, but its power consumption is very high.

Issues related to power consumption

For most users, power-related issues are obvious. Generally, when expanding a new video distribution infrastructure, the following three energy-related issues are considered:

· Operation cost: In terms of power consumption, it is simply the electricity cost per kilowatt hour. The higher the power consumption required for a solution, the higher its operating costs, including not only processing costs but also cooling costs.

· Scalability: Rack space is a cost-bearing resource. It is critical to be able to expand the system based on the planned increase in channel density without incurring additional space and cooling costs. Lower power consumption means more densely configured systems and smaller cooling resources.

· Reliability: The heat consumption is directly discharged by the heat dissipation system, so a cooling solution with active cooling is required. Active cooling of solid components, equipment chassis and racks will reduce the reliability of the entire system to the level of reliability represented by the most vulnerable mechanical cooling components.

In addition, as environmental responsibility and social responsibility are widely accepted by the industry, the power consumption problem is becoming more and more prominent. I believe this need no longer be said.

In order to solve these problems, the most energy-consuming resource in the system, that is, the code conversion resource provided by the x86 processor, needs to significantly improve energy efficiency. Another solution is to choose a completely different processor.

Alternative energy saving methods

For audio and video applications, there are many new low-power multi-core digital signal processors (DSPs) on the market that can be freely expanded according to the channel processing density, and thus deployed from low-density access nodes to high-density core network infrastructure. Within the entire network.

These DSPs are built on an internal energy-saving architecture that uses energy-efficient asynchronous processors. Energy saving comes from the asynchronous design of the core. By eliminating the clock and synchronization registers in the processor core and adopting a simpler logic synchronization method, the asynchronous design brings the following three changes:

· Reduced silicon area of ​​DSP core;

· Clear the power and wiring of clock and register;

· Combining the above two changes can further reduce energy consumption.

The direct result of the above changes is to create a new high-performance device to complete the code conversion, which can complete up to 20 CIF or 70 QCIF video streams or up to 480 sound channels. This channel density level corresponds to power not exceeding 1.9 watts.

Compare this density with the density of standard server-grade x86 processors. The upper limit of processing / power balance is about 150 watt-hours, and the typical QCIF transcoding density of a pure x86 architecture is about 150 video streams. Even considering the implementation details of adding DSP resources to the system, the possible energy efficiency gains are considerable.


Video conversion encoding: establish a connection between any video client and any video source

future development

To meet the foreseeable and growing demand for mobile video services and Internet video services, DSP designers, video servers, streaming converters and gateway manufacturers must work to develop new paradigms for energy-efficient mobile video platforms. The design of the new platform must be able to meet the high requirements of video encoding conversion processing, while maintaining sufficient flexibility to cope with changing video solutions, frame rates and codec standards. This new paradigm not only provides video encoding conversion equipment manufacturers with a new option to replace high-energy x86 processors, but also provides an alternative for users who have recognized the necessity of replacing x86. Energy-saving alternative to standard DSP.

Although switching to a new processor can be daunting, the benefits it can bring are breakthrough. For example, compared with the typical server-level dual-quad-core Xeon, the new generation of DSP can easily increase the channel density by a factor of 15 without increasing energy consumption. In addition, without reducing the channel density, the same energy efficiency reduces power by more than 60%.

After these processors are deployed in the video transcoding system, the benefits of energy efficiency will be immediately reflected in the system, and can greatly reduce operating costs, improve channel density levels and scalability, and improve the reliability of the entire system.

Imagine that these equipment manufacturers using new low-power, high-performance DSPs can further extend these energy efficiency advantages to their end consumers. The reduction in energy consumption and the increase in channel density mean that more code conversion components can be placed in a greatly reduced area. Even if the power density gain is only 10 times (conservative estimate), the total number of servers required in actual deployment can be reduced to one tenth of the original; therefore, the energy saving potential is incalculable (based on the complete server energy consumption).

In addition to tangible and measurable benefits, the ability to produce more energy-efficient products is also a common goal of the entire industry-for sustainability, cost control, and customer satisfaction.

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