Multi-domain convolutional neural network

US10778412B2 · kind B2 · utility

Assignee

• Intel Corporation · US

Inventors

• Yen-Kuang Chen · Sunnyvale, US
• Shao-Wen Yang · Seattle, US
• Ibrahima J. Ndiour · Portland, US
• Yiting Liao · Sunnyvale, US
• Vallabhajosyula S. Somayazulu · Portland, US
• Omesh Tickoo · Portland, US
• Srenivas Varadarajan · Bengaluru, IN

Key dates

• Filing date: Jun 29, 2018
• Grant date: Sep 15, 2020
• Expiry date: Dec 5, 2038

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04W12/02
• WIPO field: Audio-visual technology
• WIPO sector: Electrical engineering

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.