KDDI has been granted a patent for a decoding device that sets the decoded luminance component of a prediction target block to the same number of samples as the corresponding chrominance component. It generates a luminance reference signal and derives a linear prediction parameter from pixel values and a linear prediction model. The device then applies the linear prediction model to the luminance reference signal to obtain a chrominance prediction signal, which is added to the chrominance residual signal to generate a reconstructed chrominance signal. GlobalData’s report on KDDI 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 KDDI, Cloud gaming was a key innovation area identified from patents. KDDI's grant share as of September 2023 was 41%. Grant share is based on the ratio of number of grants to total number of patents.
Patent granted for a moving picture decoder
A recently granted patent (Publication Number: US11750829B2) describes a moving picture decoder and method for decoding encoded data. The decoder includes a memory with programmed instructions and a processor capable of executing these instructions. The decoder performs several steps to decode the data and generate a reconstructed chrominance signal.
First, the encoded data is decoded to obtain a chrominance residual signal. Then, the decoder sets the decoded luminance component of a prediction target block to the same number of samples as the corresponding chrominance component and generates a luminance reference signal. The decoder also specifies the pixels of luminance with the minimum and maximum pixel values adjacent to the prediction target block, outputs the luminance pixel values from these specified pixels, and outputs the chrominance pixel values from the corresponding pigment pixels.
Next, the decoder derives a linear prediction parameter from the luminance and chrominance pixel values using a linear prediction model. It then applies this linear prediction model to the luminance reference signal to obtain a chrominance prediction signal. The chrominance prediction signal and the chrominance residual signal are added together to generate a reconstructed chrominance signal.
In addition, the decoder clips the maximum value of the difference between the maximum and minimum values of the chrominance pixel value to a predetermined range. The decoded luminance component adjacent to the prediction target block is set to the same number of samples as the corresponding chrominance component. The decoder also specifies the pixels with the minimum and maximum values of the luminance component, respectively. The linear prediction parameter is derived using a lookup table that represents the division processing.
Overall, this patent describes a moving picture decoder and method that efficiently decodes encoded data and generates a reconstructed chrominance signal. The use of a linear prediction model and lookup table allows for accurate prediction and reconstruction of the chrominance signal. The clipping of the chrominance pixel value ensures that it falls within a predetermined range, improving the quality of the reconstructed signal.
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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.
