Renesas Electronics had seven patents in artificial intelligence during Q2 2024. The patent filed by Renesas Electronics Corp in Q2 2024 describes an image communication system that determines encoding parameters based on image recognition results for a target frame. It identifies a region of interest in the target frame, predicts the region of interest in reference frames, and uses this information to determine encoding parameters for a new input frame. GlobalData’s report on Renesas Electronics gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Renesas Electronics had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Image communication system, image communication method, and image transmitting device (Patent ID: US20240169594A1)

The patent filed by Renesas Electronics Corp. describes an image communication system that determines encoding parameters based on image recognition results for a target frame. The system includes an encoder, storage unit, decoder, image recognition unit, region-of-interest determination unit, region-of-interest prediction unit, and parameter determination unit. The encoding parameter is determined by predicting the region of interest in reference frames stored after the target frame. The system aims to improve encoding efficiency by adjusting the quantization parameter based on the region of interest.

Additionally, the patent outlines an image communication method and an image transmitting device that implement the described system. The method involves transmitting encoded frames, performing image recognition on target frames, predicting regions of interest in reference frames, and determining encoding parameters based on the predicted regions of interest. The image transmitting device includes components such as an encoder, storage unit, image recognition unit, region-of-interest determination unit, region-of-interest prediction unit, and parameter determination unit. The device is designed to be mounted on a vehicle, highlighting potential applications in automotive systems.

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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.