Hon Hai Precision Industry had two patents in big data during Q2 2024. The patent filed by Hon Hai Precision Industry Co Ltd in Q2 2024 describes a method for decoding video data using a motion linear model. The method involves determining block units, neighboring sub-partitions, and previously affine-coded blocks in an affine-based mode. By deriving motion vectors based on a motion linear model incorporating neighboring motion vectors and affine motion vectors, the method reconstructs the block unit efficiently. GlobalData’s report on Hon Hai Precision Industry gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Hon Hai Precision Industry had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Device and method for decoding video data (Patent ID: US20240129480A1)
The patent filed by Hon Hai Precision Industry Co Ltd describes a method for decoding video data using an electronic device. The method involves determining block units from a current frame, selecting neighboring sub-partitions and previously affine-coded blocks, deriving motion linear models based on motion vectors and positions, and reconstructing the block unit using derived motion vectors. The method aims to improve video decoding efficiency and accuracy by utilizing affine-based modes and motion linear models.
The claims associated with the patent detail the specific steps and processes involved in the decoding method, including the derivation of motion linear models using regression-based techniques, solving for model parameters using error functions like mean square error, and reconstructing sub-block units based on derived motion vectors. The electronic device described in the patent includes processors and computer-readable media storing executable instructions for implementing the decoding method. Overall, the patent focuses on enhancing video decoding performance by efficiently utilizing neighboring sub-blocks, affine-coded blocks, and motion vectors to reconstruct video data with improved accuracy and reduced computational complexity.
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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.
