Who are the leading innovators of predictive video coding in the tech industry?

The technology industry continues to be a hotbed of innovation, fueled by advances in deep learning and neural networks, increasing demand for high-quality video content, growth in video streaming platforms, and advances in computing power that facilitate training and deployment. I’m here. Description of artificial intelligence (AI) models for video coding. Additionally, AI algorithms can analyze video frames, predict future frames, and encode them at higher compression rates while preserving visual quality. As a result, technologies such as deep learning models, motion estimation algorithms, and adaptive encoding techniques are gaining importance in predictive video coding. . In the last three years alone, more than 3.6 million patents have been filed and granted for him in the tech industry, according to GlobalData’s report on “Innovation in Artificial Intelligence: Predictive Video Coding.”

However, not all innovations are the same, nor do they follow a constant upward trend. Instead, their evolution takes the form of an sigmoidal curve that reflects a typical life cycle from early emergence to accelerated introduction and finally to reaching stable maturity.

Identifying specific innovations, especially those in the emerging and accelerating stages, is essential to understanding the current level of adoption and the expected future trajectory and impact.

Over 300 innovations shape the tech industry

GlobalData’s Technology Foresights uses an innovation strength model built on over 2.5 million patents to plot the S-curve of the tech industry, with more than 300 areas of innovation shaping the industry’s future.

Within emerging The innovation stage, finite element simulations, ML-enabled blockchain networks, and generative adversarial networks (GANs) are disruptive technologies that are in the early stages of application and should be followed closely. Demand forecasting applications, intelligent embedded systems, and deep reinforcement learning are some of them. To accelerate An area of innovation where adoption is steadily increasing.in mature Innovative areas are wearable physiological monitors and smart lighting, which are now well established in the industry.

Artificial intelligence innovation S-curve in the tech industry

Predictive video coding is a key innovation area in artificial intelligence

Predictive video coding is an efficient video compression method that utilizes encoded frames and motion vectors to predict future frames, resulting in reduced file size and increased efficiency. This technology is widely adopted by popular video streaming platforms such as YouTube and Netflix to power their streaming services and optimize bandwidth usage.

GlobalData’s analysis also reveals the companies at the forefront of each innovation area and assesses the potential scope and impact of patent activity across different applications and geographies. According to GlobalData, there are more than 40 companies working on the development and application of predictive video coding, ranging from technology vendors, established technology companies, and up-and-coming startups.

Predictive Video Coding Leader – Tech Industry Disruptor

‘Application Diversity’ measures the number of different applications identified for each relevant patent and broadly divides companies into ‘niche’ or ‘diverse’ innovators.

“Geographic coverage” refers to the number of different countries in which each relevant patent is registered, reflecting the breadth of intended geographic application, ranging from “global” to “local” .

Number of patents related to predictive video coding

Source: GlobalData Patent Analytics

Samsung is a leading patent applicant in the field of predictive video coding. His one of the company’s patents describes a coding method used to divide the pixels of the chrominance component into blocks and generate a predicted value for each pixel based on the prediction method chosen. The generated predicted values are compared with the actual pixel values and difference values are calculated. These difference values are encoded in a predetermined manner along with information about the prediction method selected.

Other prominent patent applicants in this field include Sony Group and Canon.

In terms of geographic deployment, KT leads the pack, followed by Dolby Laboratories and Toshiba. In terms of application diversity, the SoftBank Group takes the top spot, followed by Microsoft and Sharp.

AI innovations in predictive video coding have revolutionized video compression and delivery. By leveraging advanced algorithms and machine learning techniques, AI can predict and encode video frames more efficiently, reducing file size while maintaining high-quality playback. This technology addresses the growing demand for high-definition video streaming and storage by optimizing bandwidth usage and storage requirements. Predictive video coding also helps improve the video streaming experience, reduce bandwidth costs, and enhance video delivery across various platforms and devices.

To better understand how artificial intelligence is transforming the tech industry, visit GlobalData’s latest Thematic Research Report on Artificial Intelligence (AI) – Thematic Intelligence.