Self-optimizing video analytics pipelines
AssigneeNEC Corporation
InventorsGiuseppe Coviello, Yi Yang, Srimat Chakradhar
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AssigneeNEC Corporation
InventorsGiuseppe Coviello, Yi Yang, Srimat Chakradhar
Estimating the term…
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.
A method for implementing a self-optimized video analytics pipeline, the method comprising:
A non-transitory computer-readable storage medium comprising a computer-readable program for implementing a self-optimized video analytics pipeline, wherein the computer-readable program when executed on a computer causes the computer to perform the steps of;
A system for implementing a self-optimized video analytics pipeline, the system comprising:
Dependencies are inferred from the claim text.