Self-optimizing video analytics pipelines
US12001513B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 9, 2021 |
| Grant date | Jun 4, 2024 |
| Priority date | — |
| Expiry date | Oct 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/508
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for implementing a self-optimized video analytics pipeline is presented. The method includes decoding video files into a sequence of frames, extracting features of objects from one or more frames of the sequence of frames of the video files, employing an adaptive resource allocation component based on reinforcement learning (RL) to dynamically balance resource usage of different microservices included in the video analytics pipeline, employing an adaptive microservice parameter tuning component to balance accuracy and performance of a microservice of the different microservices, applying a graph-based filter to minimize redundant computations across the one or more frames of the sequence of frames, and applying a deep-learning-based filter to remove unnecessary computations resulting from mismatches between the different microservices in the video analytics pipeline.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.