Canon has been granted a patent for a method of decoding video data from a bitstream, involving parsing syntax elements in the picture and slice headers to determine the use of decoding tools like LMCS. This innovative method enhances video decoding efficiency. GlobalData’s report on Canon 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 Canon, E-transaction user interfaces was a key innovation area identified from patents. Canon's grant share as of May 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.
Decoding video data using lmcs tool in bitstream
A recently granted patent (Publication Number: US12003779B2) discloses a method for decoding and encoding video data from a bitstream, specifically focusing on the utilization of LMCS (Luma Mapping with Chroma Scaling) decoding tools. The method involves parsing syntax elements from the picture header to determine the activation of LMCS for the picture and identifying the LMCS APS ID for decoding. Additionally, the method includes parsing syntax elements from the slice header to decide whether LMCS should be used for the slice, following the ALF APS ID. The video data is then decoded using the extracted syntax elements, enhancing the decoding process.
Furthermore, the patent describes a device for both decoding and encoding video data from a bitstream, incorporating LMCS decoding tools. The device includes separate parsers for the picture header and slice header, enabling the identification of LMCS activation and APS ID for decoding. The decoder component processes the video data using the extracted syntax elements. Similarly, the encoder device encodes syntax elements in the headers to enable LMCS for decoding, ensuring efficient utilization of LMCS tools. This innovation aims to enhance video decoding and encoding processes by optimizing the implementation of LMCS technology in bitstreams, ultimately improving video quality and efficiency in data processing.
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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.
