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公开(公告)号：US20190012559A1
公开(公告)日：2019-01-10
申请号：US16028773
申请日：2018-07-06
Applicant: Texas Instruments Incorporated
Inventor： Kumar Desappan , Manu Mathew , Pramod Kumar Swami , Praveen Eppa
Abstract: A method for dynamically quantizing feature maps of a received image. The method includes convolving an image based on a predicted maximum value, a predicted minimum value, trained kernel weights and the image data. The input data is quantized based on the predicted minimum value and predicted maximum value. The output of the convolution is computed into an accumulator and re-quantized. The re-quantized value is output to an external memory. The predicted min value and the predicted max value are computed based on the previous max values and min values with a weighted average or a pre-determined formula. Initial min value and max value are computed based on known quantization methods and utilized for initializing the predicted min value and predicted max value in the quantization process.
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公开(公告)号：US10055674B2
公开(公告)日：2018-08-21
申请号：US15073940
申请日：2016-03-18
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Hrushikesh Tukaram Garud , Soyeb Noormohammed Nagori
CPC classification number: G06K9/6282 , G06K9/00791 , G06T5/002 , G06T5/20 , G06T7/269 , G06T2207/10016 , G06T2207/20076 , G06T2207/30168
Abstract: A confidence map for optical flow gradients is constructed calculating a set of gradients for each pixel of an image, filtering said gradients and extracting confidence values from said gradients using a plurality of decision tree classifiers. A confidence map is then generated from said confidence values.
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公开(公告)号：US20180197067A1
公开(公告)日：2018-07-12
申请号：US15784588
申请日：2017-10-16
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Shyam Jagannathan , Manu Mathew , Jason T. Jones
Abstract: Described examples include an integrated circuit including a vector multiply unit including a plurality of multiply/accumulate nodes, in which the vector multiply unit is operable to provide an output from the multiply/accumulate nodes, a first data feeder operable to provide first data to the vector multiply unit in vector format, and a second data feeder operable to provide second data to the vector multiply unit in vector format.
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公开(公告)号：US20180165543A1
公开(公告)日：2018-06-14
申请号：US15376473
申请日：2016-12-12
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
CPC classification number: G06K9/6245 , G06K9/4652
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：US20170206665A1
公开(公告)日：2017-07-20
申请号：US15169153
申请日：2016-05-31
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Hrushikesh Tukaram Garud , Soyeb Noormohammed Nagori
CPC classification number: G06T7/269 , G06K9/00791 , G06K9/4609 , G06K9/481 , G06K9/6282 , G06T5/002 , G06T7/2033 , G06T7/2066 , G06T7/215 , G06T7/246 , G06T2207/30252
Abstract: A confidence map for optical flow gradients is constructed calculating a set of census texture gradients for each pixel of an image, filtering said gradients and extracting confidence values from said gradients using a plurality of decision tree classifiers. A confidence map is then generated from said confidence values.
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Patent Agency Ranking
46.发明申请公开(公告)号：US20240394543A1
公开(公告)日：2024-11-28
申请号：US18795565
申请日：2024-08-06
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Kumar Desappan , Soyeb Noormohammed Nagori , Debapriya Maji , Pramod Kumar Swami
Abstract: In an example, a method includes executing, using one or more processors, a power-of-2 parametric activation (PACT2) function to quantize a set of data. The executing of the PACT2 function includes determining a distribution for the set of data; discarding a portion of the data corresponding to a tail of the distribution to form a remaining set of data; estimating a maximum value of the remaining set of data; determining a new maximum value of the remaining set of data using a moving average and at least one historical value of at least one prior remaining set of data; determining a clipping value by expanding the new maximum value to a nearest power of two value; and quantizing the set of data using the clipping value to form a quantized set of data.
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公开(公告)号：US20240153139A1
公开(公告)日：2024-05-09
申请号：US18355594
申请日：2023-07-20
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Debapriya Maji , Soyeb Nagori , Deepak Poddar , Manu Mathew
IPC: G06T7/73
CPC classification number: G06T7/75 , G06T2207/20081 , G06T2207/20084
Abstract: Disclosed herein are systems and methods that provide an end-to-end approach for performing multi-dimensional object pose estimation in the context of machine learning models. In an implementation, processing circuitry of a suitable computer inputs image data to a machine learning model that predicts a parameterized rotation vector and a parameterized translation vector for an object in the image. Next, the processing circuitry converts the parameterized rotation vector and the parameterized translation vector into a non-parameterized rotation vector and a non-parameterized translation vector respectively. Finally, the processing circuitry updates the image data based on the non-parameterized rotation vector and the non-parameterized translation vector.
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公开(公告)号：US11615262B2
公开(公告)日：2023-03-28
申请号：US16836077
申请日：2020-03-31
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Soyeb Noormohammed Nagori , Shyam Jagannathan
IPC: G06K9/62
Abstract: Disclosed examples include image processing methods and systems to process image data, including computing a plurality of scaled images according to input image data for a current image frame, computing feature vectors for locations of the individual scaled images, classifying the feature vectors to determine sets of detection windows, and grouping detection windows to identify objects in the current frame, where the grouping includes determining first clusters of the detection windows using non-maxima suppression grouping processing, determining positions and scores of second clusters using mean shift clustering according to the first clusters, and determining final clusters representing identified objects in the current image frame using non-maxima suppression grouping of the second clusters. Disclosed examples also include methods and systems to track identified objects from one frame to another using feature vectors and overlap of identified objects between frames to minimize computation intensive operations involving feature vectors.
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公开(公告)号：US11341750B2
公开(公告)日：2022-05-24
申请号：US16268200
申请日：2019-02-05
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Hrushikesh Tukaram Garud , Manu Mathew , Soyeb Noormohammed Nagori
Abstract: An image processing system includes a processor and optical flow (OF) determination logic for quantifying relative motion of a feature present in a first frame of video and a second frame of video that provide at least one of temporally and spatially ordered images with respect to the two frames of video. The OF determination logic configures the processor to implement performing OF estimation between the first frame and second frame using a pyramidal block matching (PBM) method to generate an initial optical flow (OF) estimate at a base pyramid level having integer pixel resolution, and refining the initial OF estimate using at least one pass of a modified Lucas-Kanade (LK) method to provide a revised OF estimate having fractional pixel resolution.
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公开(公告)号：US11228772B2
公开(公告)日：2022-01-18
申请号：US17075053
申请日：2020-10-20
Applicant: Texas Instruments Incorporated
Inventor： Soyeb Nagori , Arun Shankar Kudana , Manu Mathew
IPC: H04N19/196 , H04N19/142 , H04N19/177 , H04N19/152 , H04N19/126
Abstract: A method of rate control in coding of a video sequence to generate a compressed bit stream is provided that includes computing a sequence base quantization step size for a sequence of pictures in the video sequence, computing a picture base quantization step size for a picture in the sequence of pictures based on the sequence base quantization step size, a type of the picture, and a level of the picture in a rate control hierarchy, and coding the picture using the picture base quantization step size to generate a portion of the compressed bit stream.
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