Invention Grant
- Patent Title: Multi-domain convolutional neural network
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Application No.: US16024397Application Date: 2018-06-29
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Publication No.: US10778412B2Publication Date: 2020-09-15
- 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: Alliance IP, LLC
- Main IPC: H04L9/06
- IPC: H04L9/06 ; G06F21/64 ; G06F21/53 ; G06N5/02 ; G06K9/00 ; G06N3/04 ; H04L29/08 ; G06F21/45 ; H04L9/32 ; H04W4/70 ; G06F21/44 ; G06K9/46 ; G06K9/62 ; G06N3/08 ; H04N19/80 ; G06F16/951 ; G06K9/36 ; H04N19/46 ; G06T7/70 ; G06K9/64 ; G06K9/72 ; H04W12/02 ; H04N19/42 ; H04N19/625 ; H04N19/63 ; G06T7/223

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
- US20190042870A1 MULTI-DOMAIN CONVOLUTIONAL NEURAL NETWORK Public/Granted day:2019-02-07
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