Deep Learning Optimization for Large-Scale Video Retrieval Systems

Authors

  • GS NAVEEN KUMAR, VSK REDDY, LEELA KUMARI BALIVADA

Keywords:

Video Querying, Deep Model Optimization, Big Systems, and Accelerated Learning with Compact Indexes.

Abstract

Large-scale video retrieval systems have to beextremely precise to achieve both very low latency and at the same time very efficient storage. The researchers of this work haveproposed a large-scale deep learning

References

. M. Nallappan, S. Venkataraman, and P. Kumar, “Exploring deep learning-based content-based video retrieval framework for surveillance

anomaly detection,” Expert Systems with Applications, vol. 242, p. 122873, 2024. [Online]. Available:

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Published

2024-07-15

How to Cite

GS NAVEEN KUMAR, VSK REDDY, LEELA KUMARI BALIVADA. (2024). Deep Learning Optimization for Large-Scale Video Retrieval Systems . Journal of Computational Analysis and Applications (JoCAAA), 33(07), 3183–3189. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4493

Issue

Vol. 33 No. 07 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.