KT has been granted a patent for an image decoding method involving deriving merge candidates, generating motion vectors, and performing motion compensation. The method aims to improve video decoding efficiency by utilizing affine merge candidates and corner motion vectors. GlobalData’s report on KT 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 KT, Adaptive video coding was a key innovation area identified from patents. KT's grant share as of January 2024 was 30%. Grant share is based on the ratio of number of grants to total number of patents.
Video decoding method using affine merge candidates and motion vectors
A recently granted patent (Publication Number: US11889064B2) discloses a method for decoding a video that involves deriving an affine merge candidate from a neighboring block, generating a merge candidate list, determining a merge candidate based on index information from a bitstream, deriving motion vectors, generating prediction samples, and reconstructing the current block. The affine merge candidate is derived based on corner motion vectors of the neighboring block, with the positions of corners determined differently based on whether the neighboring block is in the same Coding Tree Unit (CTU) as the current block.
Furthermore, the patent also covers methods for encoding a video and transmitting data for a video signal. The encoding method involves deriving an affine merge candidate, generating a merge candidate list, deriving motion vectors, generating prediction samples, and encoding the current block based on the prediction samples. The index information specifying the merge candidate is encoded into the bitstream. The transmission method includes obtaining a bitstream, deriving motion vectors, generating prediction samples, encoding the current block, and transmitting the data. The patent emphasizes the importance of the affine merge candidate derived from corner motion vectors of the neighboring block, with variations in corner positions based on the location of the neighboring block in relation to the current block's CTU.
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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.
