Alibaba Group has been granted a patent for scene-aware video content encoding techniques. The system determines specific scenes in video content, selects encoding parameters based on predetermined titles, and encodes the content accordingly. This innovation aims to enhance video streaming efficiency. GlobalData’s report on Alibaba Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Alibaba Group, Blockchain-based property authentication was a key innovation area identified from patents. Alibaba Group's grant share as of May 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Scene aware video content encoding based on predetermined scenes
A recently granted patent (Publication Number: US12003732B2) discloses a computing system designed to enhance video encoding processes. The system includes one or more processors and a non-transitory storage medium storing executable instructions. These instructions enable the system to determine specific video content titles and scenes, select appropriate encoding parameters, and utilize a video encoder to encode the predetermined scenes based on the selected parameters. The system can also compress data using the chosen encoding parameters to generate encoded video content efficiently.
Furthermore, the patent details a method for determining video content types and titles, selecting scene-specific encoding parameters, and encoding video content accordingly. By leveraging artificial intelligence models and metadata analysis, the system can optimize encoding parameters for different types of video content. The method also includes default encoding parameters for scenarios where the video content does not match predetermined titles or scenes, ensuring flexibility and efficiency in the encoding process. Overall, the patent highlights a sophisticated system and method for improving video encoding by tailoring encoding parameters to specific content types and scenes, ultimately enhancing the quality and efficiency of video processing.
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