Permutation invariant convolution (PIC) for recognizing long-range activities, generating global representation of input streams and classifying activity based on global representation
US12333811B2 · kind B2 · utility
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Key dates
| Filing date | Nov 13, 2020 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Jan 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19173
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for recognizing long-range activities in videos includes segmenting an input video stream to generate multiple frame sets. For each of the frame sets, a frame with a highest likelihood of including one or more actions of a set of predefined actions is identified regardless of its order in the frame set. A global representation of the input stream is generated based on pooled representations of the identified frames. A long-range activity in the video stream is classified based on the global representation.
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