NVIDIA has patented a technique for streaming that determines the complexity of streamed data to enhance user experience. The client device’s processor decides whether to discard or select data based on content complexity, ensuring optimal video quality. GlobalData’s report on NVIDIA gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on NVIDIA, Variational Autoencoders (VAEs) was a key innovation area identified from patents. NVIDIA's grant share as of January 2024 was 53%. Grant share is based on the ratio of number of grants to total number of patents.
Streaming technique based on content complexity for client devices
A recently granted patent (Publication Number: US11889122B2) discloses a client device with a unique feature that allows it to decode data frames received from a server and make decisions based on the content complexity of the decoded data frame. The device includes a decoder to provide a decoded data frame and a processor that determines whether to select the decoded data frame for display or as a future reference frame, or to discard it, based on the content complexity.
The processor in the client device determines whether to discard a decoded data frame if its content complexity exceeds a predefined threshold, ensuring efficient utilization of resources. Additionally, the device considers factors such as streaming bitrate, resolution of the data frame, and core frame statistics like average bits per macro-block, motion information, and peak signal-to-noise ratio (PSNR) when making these decisions. The method for streaming data outlined in the patent involves decoding data frames from a server, determining whether to select or discard them based on content complexity, and utilizing core frame statistics and additional frame statistics to make informed decisions, ultimately enhancing the streaming experience for users.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
