A High-Efficiency Compressed Sensing-Based Terminal-to-Cloud Video Transmission System

Zheng, Shuai; Zhang, Xiaoping; Chen, Jian; Kuo, Yan-Fu

doi:10.1109/tmm.2019.2891415

Cited by 28 publications

(4 citation statements)

References 42 publications

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“…The use of a single-chip microcomputer for network data transfer, as discussed by [ 35 ], could potentially enhance the efficiency of the system. Lastly, the system’s potential for high-efficiency video transmission is supported by [ 36 ] on a compressed sensing-based video transmission system.…”

Section: Methodsmentioning

confidence: 99%

Toward Intraoperative Visual Intelligence: Real-Time Surgical Instrument Segmentation for Enhanced Surgical Monitoring

Daneshgar Rahbar,

Pappas,

Jaber

2024

Healthcare

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Background: Open surgery relies heavily on the surgeon’s visual acuity and spatial awareness to track instruments within a dynamic and often cluttered surgical field. Methods: This system utilizes a head-mounted depth camera to monitor surgical scenes, providing both image data and depth information. The video captured from this camera is scaled down, compressed using MPEG, and transmitted to a high-performance workstation via the RTSP (Real-Time Streaming Protocol), a reliable protocol designed for real-time media transmission. To segment surgical instruments, we utilize the enhanced U-Net with GridMask (EUGNet) for its proven effectiveness in surgical tool segmentation. Results: For rigorous validation, the system’s performance reliability and accuracy are evaluated using prerecorded RGB-D surgical videos. This work demonstrates the potential of this system to improve situational awareness, surgical efficiency, and generate data-driven insights within the operating room. In a simulated surgical environment, the system achieves a high accuracy of 85.5% in identifying and segmenting surgical instruments. Furthermore, the wireless video transmission proves reliable with a latency of 200 ms, suitable for real-time processing. Conclusions: These findings represent a promising step towards the development of assistive technologies with the potential to significantly enhance surgical practice.

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Section: Methodsmentioning

confidence: 99%

Toward Intraoperative Visual Intelligence: Real-Time Surgical Instrument Segmentation for Enhanced Surgical Monitoring

Daneshgar Rahbar,

Pappas,

Jaber

2024

Healthcare

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show abstract

“…The use of a single-chip microcomputer for network data transfer, as discussed by [35], could potentially enhance the efficiency of the system. Lastly, the system's potential for highefficiency video transmission is supported by [36] on a compressed sensing-based video transmission system.…”

Section: Up Squared Boardmentioning

confidence: 99%

Toward Intraoperative Visual Intelligence: Real-Time Surgical Instrument Segmentation for Enhanced Surgical Monitoring

Daneshgar Rahbar,

Pappas,

Jaber

2024

Preprint

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A single paragraph of about 200 words maximum. For research articles, abstracts should give a pertinent overview of the work. We strongly encourage authors to use the following style of structured abstracts, but without headings: (1) Background: Place the question addressed in a broad context and highlight the purpose of the study; (2) Methods: briefly describe the main methods or treatments applied; (3) Results: summarize the article’s main findings; (4) Conclusions: indicate the main conclusions or interpretations. The abstract should be an objective representation of the article and it must not contain results that are not presented and substantiated in the main text and should not exaggerate the main conclusions.

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“…In the traditional DVCS, the SR of the coding side is regarded as a priori knowledge and it is not considered in the algorithm. Zheng et al 127 proposed an adaptive sampling scheme. On the encoder side, for time‐varying channel states, the encoder can adaptively assign SRs to different frames through the proposed adaptive sampling scheme.…”

Section: Compressed Sensing Reconstruction Of 3d Datamentioning

confidence: 99%

Survey on compressed sensing reconstruction method for3Ddata

Zhang

Xie

2022

Concurrency and Computation

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The information society has higher and higher requirements for the collection, transmission and storage of digital signals, and signal utilization efficiency has become an increasingly important part of the digital signal processing process. The traditional digital signal processing needs to satisfy the Nyquist sampling theorem to ensure the restoration of the signal, while the digital signal processing method based on compressed sensing can sample and reconstruct the signal under the conditions that much lower than the Nyquist sampling theorem. Undoubtedly, the utilization efficiency of digital signals has been greatly accelerated. In this article, taking hyperspectral images and videos as examples, we review the basic theory, reconstruction model, and reconstruction algorithm of 3D data compressed sensing. We analyze, summarize, and discuss the existing literature. Finally, the research status of compressive sensing reconstruction methods for hyperspectral images and videos is compared, and several important research directions for compressive sensing reconstruction of 3D data in the future are proposed.

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A High-Efficiency Compressed Sensing-Based Terminal-to-Cloud Video Transmission System

Cited by 28 publications

References 42 publications

Toward Intraoperative Visual Intelligence: Real-Time Surgical Instrument Segmentation for Enhanced Surgical Monitoring

Toward Intraoperative Visual Intelligence: Real-Time Surgical Instrument Segmentation for Enhanced Surgical Monitoring

Toward Intraoperative Visual Intelligence: Real-Time Surgical Instrument Segmentation for Enhanced Surgical Monitoring

Survey on compressed sensing reconstruction method for3Ddata

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