Invention Grant
- Patent Title: Frequency-domain convolutional neural network
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Application No.: US18157154Application Date: 2023-01-20
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Publication No.: US11836240B2Publication Date: 2023-12-05
- Inventor: Yen-Kuang Chen , Shao-Wen Yang , Ibrahima J. Ndiour , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Srenivas Varadarajan
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: INTEL CORPORATION
- Current Assignee: INTEL CORPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: Akona IP PC
- Main IPC: G06F21/44
- IPC: G06F21/44 ; H04L9/06 ; G06F21/64 ; G06F21/53 ; G06N5/022 ; G06F21/45 ; H04L9/32 ; H04W4/70 ; G06F16/538 ; G06F16/535 ; G06F16/54 ; G06F21/62 ; G06F9/50 ; G06N3/04 ; G06N3/063 ; G06V10/44 ; G06V20/00 ; G06V40/20 ; G06V40/16 ; G06F9/48 ; H04L67/51 ; G06T7/11 ; G06V10/96 ; G06V30/262 ; G06K15/02 ; G06F18/24 ; G06F18/21 ; G06F18/22 ; G06F18/211 ; G06F18/213 ; G06F18/2413 ; G06N3/045 ; G06V30/19 ; G06V10/82 ; G06V10/94 ; G06V10/75 ; G06V10/20 ; G06V10/40 ; G06N3/08 ; H04L67/12 ; H04N19/80 ; G06F16/951 ; H04N19/46 ; G06T7/70 ; H04W12/02 ; H04L9/00 ; H04N19/12 ; H04N19/124 ; H04N19/167 ; H04N19/172 ; H04N19/176 ; H04N19/44 ; H04N19/48 ; H04N19/513 ; G06T7/20 ; G06F18/243 ; G06V30/194 ; H04N19/42 ; H04N19/625 ; H04N19/63 ; G06T7/223 ; H04L67/10

Abstract:
In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.
Public/Granted literature
- US20230237144A1 MULTI-DOMAIN CONVOLUTIONAL NEURAL NETWORK Public/Granted day:2023-07-27
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