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A Survey of Performance Optimization in Neural Network-Based Video Analytics Systems

arXiv 2105.14195 ↗First posted 10 May 2021cs.CVcited by 0

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Abstract (arXiv)

Video analytics systems perform automatic events, movements, and actions recognition in a video and make it possible to execute queries on the video. As a result of a large number of video data that need to be processed, optimizing the performance of video analytics systems has become an important research topic. Neural networks are the state-of-the-art for performing video analytics tasks such as video annotation and object detection. Prior survey papers consider application-specific video analytics techniques that improve accuracy of the results; however, in this survey paper, we provide a review of the techniques that focus on optimizing the performance of Neural Network-Based Video Analytics Systems.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 18 of its 44 references that are in the map. First posted on arXiv 10 May 2021.

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18 of 44 references.

References · 18

  1. 2018Human Action Recognition and Prediction: A Surveycited by 227
  2. 2018Focus: Querying Large Video Datasets with Low Latency and Low Costcited by 46
  3. 2018BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analyticscited by 41
  4. 2017NoScope: Optimizing Neural Network Queries over Video at Scalecited by 37
  5. 2017A Survey on Content-Aware Video Analysis for Sportscited by 27
  6. 2018Physical Representation-based Predicate Optimization for a Visual Analytics Databasecited by 19
  7. 2019Rekall: Specifying Video Events using Compositions of Spatiotemporal Labelscited by 14
  8. 2020Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analyticscited by 11
  9. 2018VStore: A Data Store for Analytics on Large Videoscited by 9
  10. 2021THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planningcited by 8
  11. 2020TASM: A Tile-Based Storage Manager for Video Analyticscited by 7
  12. 2020Visor: Privacy-Preserving Video Analytics as a Cloud Servicecited by 7
6 more
  1. 2020ODIN: Automated Drift Detection and Recovery in Video Analyticscited by 7
  2. 2021AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systemscited by 6
  3. 2018Scanner: Efficient Video Analysis at Scalecited by 3
  4. 2020CONVINCE: Collaborative Cross-Camera Video Analytics at the Edgecited by 3
  5. 2020ExSample: Efficient Searches on Video Repositories through Adaptive Samplingcited by 3
  6. 2021Video Analytics on IoT devicescited by 1

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