Shulou(Shulou.com)11/24 Report--

As a national-level professional remote control brand, "Sunflower remote Control" under Berry has been accumulating and innovating in the field of remote control.

In recent years, remote control software itself has become the mainstream remote business tool of enterprises and daily necessary software under personal scenes, and sunflower remote control is constantly improving and innovating products.

For example, at the cloud conference not long ago, Berry officially announced that he would launch the "cloud desktop" function in the near future to help enterprises in the digital transformation of the "cloud acceleration" strategy.

Berry CTO delivered a speech at the Yunqi Conference.

With the continuous innovation and progress of sunflower remote control, we can't help thinking, at the technical level, sunflower remote control depends on what to stay ahead and support a series of business evolution. I believe that the exclusive visual codec algorithm must be an important part.

Here we will specifically introduce sunflower exclusive SADDC algorithm, a glimpse of Berry sunflower in the field of remote control to maintain a leading technology know-how.

What is SADDC?

The so-called "SADDC", that is, "Sunlogin Advanced Desktop Dynamic Codec", the abbreviation of "Sunflower Advanced Desktop dynamic Codec", this algorithm aims to adopt different coding strategies for different remote control scenarios, significantly improve the picture compression ratio, reduce the amount of data transmitted, and achieve very low delay coding and high frame rate transmission.

Specifically, the SADDC algorithm is actually a policy set, which mainly contains three core policies:

● combines the visual significance theory to intelligently analyze the application focus to identify and partition the remote control picture in real time.

● carries on the intelligent slice partition to the picture, realizes the partition block decoding operation.

● makes more efficient use of the configuration of the host. When the configuration of the host is sufficient, it can further improve the quality of remote control with hardware acceleration.

Next, we analyze the three strategies one by one.

Core strategy 1: focus application area and visual saliency area based on visual saliency theory to distinguish visual saliency area of remote control picture.

According to the action of the keyboard and mouse controlled remotely and the position of the cursor, determining the focus area of the picture is relatively basic, and tilting bit resources to the focus area is a part of the strategy of the SADDC algorithm. Furthermore, sunflower also introduces the theory of visual saliency (visual saliency), which complements with the strategy of focus application area to improve the overall picture quality while reducing bit resource consumption.

Human vision is obviously selective, and the visual information that can really be processed is very limited. In 1998, Itti of the University of Southern California proposed the salient value calculation based on the three visual features of color, brightness and direction to simulate the selective attention model of biological attention to the point of view of the image, namely the theory of visual saliency (visual saliency). In 2012, this theory was further improved to form four calculation criteria:

● starts with local low features, taking into account factors such as contrast, color, etc.

● suppresses repetitive features globally and maintains specific characteristics.

● according to Gestalt laws, visual organization usually has one or more prominent centers

● face, regular object, Cognitive object Optimization

According to this theory, the sunflower SADDC algorithm tilts the bit resources to the highly significant regions, which makes the key areas show a more smooth and clear picture, avoids putting too much resources into the non-significant areas and non-focus areas, and improves the overall coding efficiency space.

Core Strategy 2: intelligent slice Partition

The intelligent slice partition strategy of sunflower SADDC algorithm is actually complementary to the visual saliency strategy mentioned above.

The SADDC algorithm will intelligently slice and partition the remote control picture. If the picture is complex enough, the partition will be refined to 1000-2000 blocks, and then the blocks with changes in the picture will be recalculated, compressed and transmitted, while the blocks with no changes will be retained.

Obviously, the more finely divided the blocks are, the more they can give play to the advantages of the previous visual saliency algorithm. After the combination of the two, the result is that the sunflower SADDC algorithm can intelligently judge the change range of the picture, which is similar to the energy-saving strategy adopted by some mobile phone screens. If there is no large moving object in the picture to automatically reduce the frame rate, the minimum can be adjusted to 1 frame or pause the picture refresh.

In this way, it not only ensures the different requirements of remote control for fluency in different scenarios, but also further reduces the amount of data transmitted and avoids excessive pressure on the bandwidth of the upper layer.

Core strategy 3: hardware acceleration makes full use of host performance

If the first two core strategies of SADDC ensure a wide range of remote control availability and stability, then the third strategy is to greatly improve the performance of remote control online.

If the configuration of the host is strong enough, the sunflower can further achieve a performance leap by means of hardware acceleration: by using the computing power of GPU, the calculation and compression of the remote control picture are completed "internally" in GPU. This strategy will greatly reduce the delay and greatly improve the frame rate of the picture online. Sunflower SADDC algorithm can increase the frame rate of the remote control picture to a maximum of 144frames through this strategy. Can meet many high-end remote control needs.

In addition to the algorithm: Beruiyun platform carries remote connection product system

In fact, in addition to specific algorithms such as SADDC, Berry's entire remote connection system is supported by an entire cloud platform architecture, based on which Berry can continue to innovate and launch new products such as "cloud desktop" to endow more enterprise users.

Specifically, this technical architecture of Berry is based on Berry Cloud, combined with hardware equipment and systems, to form a series of professional application platforms, including standard SaaS service platform and embedded SDK / API services for secondary development.

Under the support of this architecture, representative products, including Berry sunflower, can break through the technical bottleneck of the industry and provide users with professional, smooth, convenient, secure and cross-platform remote control services to meet the needs of telecommuting, IT operation and maintenance, technical support and other scenarios.

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