Multi-level feature driven storage management of surveillance videos
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In Tsai et al.'s system, predictor determines amount of space and computational resources required to perform information analysis and video clip downsampling at appropriate time.
“Then, a predictor determines the amount of space needed and the computational resources required to perform the information analysis and video clip downsampling at an appropriate time.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [146]
Tsai et al. [146] optimized storage space and computational power while retaining as much information as possible by using downsampling methods.
“[146] optimized the storage space and computational power while still retaining as much information as possible by using downsampling methods.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [146]
In Tsai et al.'s system, downsampling decision maker evaluates space available and assigns quality level to each video.
“To accomplish this, a downsampling decision maker evaluates the space available and assigns a quality level to each video.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [146]
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1 of the 69 references couldn’t be matched to a known paper.
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A Survey of Video Surveillance Systems in Smart City
Myagmar-Ochir, Y., & Kim, W. (2023) · Electronics · doi:10.3390/electronics12173567 · Cited by 134 · see citing works
“Tsai et al. [146] optimized the storage space and computational power while still retaining as much information as possible by using downsampling methods.”
BackgroundLai, C., Sarkar, A., Dinh, P. A., Gaikwad, S. S., & Hsu, C.-H. (2024) · doi:10.1145/3702636.3703443 · Cited by 2 · see citing works
Resource-Constrained Lifelogging: A Utility-Based Replacement Policy for Video Understanding
Chang, T.-Y., & Hsu, C.-H. (2026) · ACM Workshop on Mobile Immersive Computing, Networking, and Systems (ImmerCom) · doi:10.1145/3842656.3843830
- Authors
- Tsai, M.-H., Venkatasubramanian, N., & Hsu, C.-H.
- Affiliations
- National Tsing Hua University (TW)
- University of California, Irvine (US)
- Corresponding author
- Hsu, Cheng-Hsin
- Venue
- Pervasive and Mobile Computing
- Publisher
- Elsevier BV
- Published
- 2021-09
- Volume
- 76
- Pages
- 101441
- ISSN
- 1574-1192 (ISSN-L)
- OpenAlex
- W3174487397
- Cited by
- 4
- References
- 69
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 1
- FWCI
- 0.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Pervasive and Mobile Computing (publishedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (107-2221-E 007-091-MY3)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Data Storage Technologies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- semantic features, storage space optimization, video analysis, smart campus
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