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公开(公告)号：US20160165230A9
公开(公告)日：2016-06-09
申请号：US13864131
申请日：2013-04-16
Applicant: Texas Instruments Incorporated
IPC: H04N7/26
CPC classification number: H04N19/186 , H04N19/44
Abstract: Checksum computation for video coding is provided that breaks the dependency between the color components of a picture in the prior art. More specifically, rather than computing a single checksum for a picture as in the prior art, a separate checksum is computed for each color component. Computing a separate checksum for each color component enables parallel computation of the component checksums. Methods are provided for computing three separate checksums after a picture is decoded. Methods are also provided for computing three separate checksums on a largest coding unit basis, thus allowing the checksums for a picture to be computed as the picture is being decoded.
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公开(公告)号：US20130114715A1
公开(公告)日：2013-05-09
申请号：US13671344
申请日：2012-11-07
Applicant: Texas Instruments Incorporated
IPC: H04N7/32
CPC classification number: H04N19/895 , H04N19/107 , H04N19/172 , H04N19/39 , H04N19/65
Abstract: A method is provided that includes receiving pictures of a video sequence in a video encoder, and encoding the pictures to generate a compressed video bit stream that is transmitted to a video decoder in real-time, wherein encoding the pictures includes selecting a picture to be encoded as a delayed duplicate intra-predicted picture (DDI), wherein the picture would otherwise be encoded as an inter-predicted picture (P-picture), encoding the picture as an intra-predicted picture (I-picture) to generate the DDI, wherein the I-picture is reconstructed and stored for use as a reference picture for a decoder refresh picture, transmitting the DDI to the video decoder in non-real time, selecting a subsequent picture to be encoded as the decoder refresh picture, and encoding the subsequent picture in the compressed bit stream as the decoder refresh picture, wherein the subsequent P-picture is encoded as a P-picture predicted using the reference picture.
Abstract translation: 提供了一种方法，其包括接收视频编码器中的视频序列的图像，并对图像进行编码以生成被实时发送到视频解码器的压缩视频比特流，其中编码图像包括选择图像为 编码为延迟重复帧内预测图像（DDI），其中图像将被编码为帧间预测图像（P图像），将图像编码为帧内预测图像（I图像）以生成DDI 其中，I图像被重建和存储以用作解码器刷新图像的参考图像，以非实时的方式将DDI发送到视频解码器，选择待编码的后续图像作为解码器刷新图像，以及编码 压缩比特流中的后续图像作为解码器刷新图像，其中后续P图像被编码为使用参考图片预测的P图像。
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公开(公告)号：US11653031B2
公开(公告)日：2023-05-16
申请号：US17093695
申请日：2020-11-10
Applicant: Texas Instruments Incorporated
IPC: H04N19/895 , H04N19/172 , H04N19/107 , H04N19/39 , H04N19/65
CPC classification number: H04N19/895 , H04N19/107 , H04N19/172 , H04N19/39 , H04N19/65
Abstract: A method is provided that includes receiving pictures of a video sequence in a video encoder, and encoding the pictures to generate a compressed video bit stream that is transmitted to a video decoder in real-time, wherein encoding the pictures includes selecting a picture to be encoded as a delayed duplicate intra-predicted picture (DDI), wherein the picture would otherwise be encoded as an inter-predicted picture (P-picture), encoding the picture as an intra-predicted picture (I-picture) to generate the DDI, wherein the I-picture is reconstructed and stored for use as a reference picture for a decoder refresh picture, transmitting the DDI to the video decoder in non-real time, selecting a subsequent picture to be encoded as the decoder refresh picture, and encoding the subsequent picture in the compressed bit stream as the decoder refresh picture, wherein the subsequent P-picture is encoded as a P-picture predicted using the reference picture.
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公开(公告)号：US11443505B2
公开(公告)日：2022-09-13
申请号：US16898972
申请日：2020-06-11
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.
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Patent Agency Ranking
公开(公告)号：US20210058645A1
公开(公告)日：2021-02-25
申请号：US17093695
申请日：2020-11-10
Applicant: Texas Instruments Incorporated
IPC: H04N19/895 , H04N19/172 , H04N19/107 , H04N19/39 , H04N19/65
Abstract: A method is provided that includes receiving pictures of a video sequence in a video encoder, and encoding the pictures to generate a compressed video bit stream that is transmitted to a video decoder in real-time, wherein encoding the pictures includes selecting a picture to be encoded as a delayed duplicate intra-predicted picture (DDI), wherein the picture would otherwise be encoded as an inter-predicted picture (P-picture), encoding the picture as an intra-predicted picture (I-picture) to generate the DDI, wherein the I-picture is reconstructed and stored for use as a reference picture for a decoder refresh picture, transmitting the DDI to the video decoder in non-real time, selecting a subsequent picture to be encoded as the decoder refresh picture, and encoding the subsequent picture in the compressed bit stream as the decoder refresh picture, wherein the subsequent P-picture is encoded as a P-picture predicted using the reference picture.
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公开(公告)号：US20200302217A1
公开(公告)日：2020-09-24
申请号：US16898972
申请日：2020-06-11
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.
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公开(公告)号：US10713522B2
公开(公告)日：2020-07-14
申请号：US16400149
申请日：2019-05-01
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.
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公开(公告)号：US20190258891A1
公开(公告)日：2019-08-22
申请号：US16400149
申请日：2019-05-01
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.
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公开(公告)号：US10325173B2
公开(公告)日：2019-06-18
申请号：US16108237
申请日：2018-08-22
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.
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