Kia had 107 patents in artificial intelligence during Q4 2023. Kia Corp’s Q4 2023 patents include methods for video coding using matrix-based cross-component prediction, vehicle safety systems with sensors and processors for collision detection, air conditioning control for electrified vehicles, emergency stop systems for vehicles based on sensor data, and predicting power window performance using deep learning models. GlobalData’s report on Kia gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Kia grant share with artificial intelligence as a theme is 22% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method and apparatus for video coding using matrix based cross-component prediction (Patent ID: US20230421752A1)
The patent filed by Kia Corp. discloses a method and apparatus for video coding that utilizes matrix-based cross-component prediction. This involves predicting the chroma component of a current block by using deep learning-based matrix operations on chroma and luma components spatially adjacent to the current block. The method involves obtaining reference pixels, generating an input block, and using an estimating model to create a chroma prediction block based on the input block.
The method outlined in the patent includes obtaining reference pixels that consist of chroma and luma reference pixels adjacent to the current block, rearranging these pixels into an input block, and utilizing a deep learning-based model to generate a chroma prediction block. The patent also details various aspects of obtaining reference pixels, generating the input block, and the configuration of the estimating model. Additionally, it describes methods for generating a reduced chroma prediction block and applying interpolation filtering to achieve the desired number of pixels. The patent also covers a method for video encoding and a computer-readable recording medium storing a bitstream generated by the video encoding method, all focused on predicting chroma components using luma components through deep learning-based matrix operations.
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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.
