Towards Real-Time Service from Remote Sensing: Compression of Earth Observatory Video Data via Long-Term Background Referencing

Xiao, Jing; Zhu, Rong; Hu, Ruimin; Wang, Mi; Zhu, Ying; Chen, Dan; Li, Deren

doi:10.3390/rs10060876

Cited by 11 publications

(19 citation statements)

References 39 publications

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“…Instead, staff review samples of video after the completion of trips (Garland Shen, LTFV, personal communication, 13 July 2018). Thus, a technological improvement priority may be to reduce the cost for satellite data transfers, perhaps through improvements in compressing the digital imagery files (Lohar et al, ; Xiao et al, ).…”

Section: Results: Methods To Expand Data Fields and Improve The Accurmentioning

confidence: 99%

Increasing the functionalities and accuracy of fisheries electronic monitoring systems

Gilman

Legorburu

Fedoruk³

et al. 2019

Aquatic Conservation

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1. Fisheries-dependent data underpin essential scientific and management applications. Electronic monitoring (EM) systems are increasingly being used to supplement human observer programmes and provide coverage where none previously existed.2. Candidate methods were identified to expand EM functionalities to collect data fields of human observer programmes that contemporary EM systems either cannot collect or require improved accuracy. Options were also identified to enable EM systems to collect new data fields that human observers cannot collect, prioritized by scientists, managers and the catch sector. 3. Many EM limitations could be resolved through simple changes of repositioning existing or adding new cameras with suitable fields of view and resolution, integrating additional sensors, and making minor modifications to fishers' practices. Research, development and trials, however, are required for possible EM integration of some existing and emerging technologies. 4. Whether an EM improvement method should be pursued requires consideration of: the relative importance for meeting monitoring objectives; the accuracy and cost of alternative monitoring methods, such as data collection by fishers with EM auditing, and by dockside inspections; impacts on fishing operations and crew safety; and net costs.5. Active support from fishers is necessary for EM collection of some data fields, where EM enables auditing fisher compliance with required procedures. Having EM systems supply data desired by the seafood industry could augment their support for EM and incentivize fisher cooperation.6. EM systems have the capacity to collect most data fields collected by human observer programmes with high precision and in some cases improved accuracy, to supply information of interest to seafood companies, and to meet expanding data requirements as fisheries management frameworks continue to transition to implementing elements of ecosystem-based fisheries management.

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Section: Results: Methods To Expand Data Fields and Improve The Accurmentioning

confidence: 99%

Increasing the functionalities and accuracy of fisheries electronic monitoring systems

Gilman

Legorburu

Fedoruk³

et al. 2019

Aquatic Conservation

View full text Add to dashboard Cite

show abstract

“…This manuscript presented a number of research contributions related to fast block matching algorithms in video motion estimation. Specifically, methods were proposed to reduce the computational complexity of lossless and lossy block matching algorithms, which is crucial for the effective processing of remote sensing data [58]. The proposed algorithm will enable faster yet quality transmission of video data, specifically, acquired by UAVs and surveillance cameras for remote monitoring and intelligent decision making in the context of multidisciplinary smart city applications…”

Section: Discussionmentioning

confidence: 99%

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics

et al. 2020

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The smart city concept has attracted high research attention in recent years within diverse application domains, such as crime suspect identification, border security, transportation, aerospace, and so on. Specific focus has been on increased automation using data driven approaches, while leveraging remote sensing and real-time streaming of heterogenous data from various resources, including unmanned aerial vehicles, surveillance cameras, and low-earth-orbit satellites. One of the core challenges in exploitation of such high temporal data streams, specifically videos, is the trade-off between the quality of video streaming and limited transmission bandwidth. An optimal compromise is needed between video quality and subsequently, recognition and understanding and efficient processing of large amounts of video data. This research proposes a novel unified approach to lossy and lossless video frame compression, which is beneficial for the autonomous processing and enhanced representation of high-resolution video data in various domains. The proposed fast block matching motion estimation technique, namely mean predictive block matching, is based on the principle that general motion in any video frame is usually coherent. This coherent nature of the video frames dictates a high probability of a macroblock having the same direction of motion as the macroblocks surrounding it. The technique employs the partial distortion elimination algorithm to condense the exploration time, where partial summation of the matching distortion between the current macroblock and its contender ones will be used, when the matching distortion surpasses the current lowest error. Experimental results demonstrate the superiority of the proposed approach over state-of-the-art techniques, including the four step search, three step search, diamond search, and new three step search.

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“…, x n gt }, c t > 0 Output:Ĥ 1: for x ∈ X gt do 2: if ∃ĥ ∈Ĥ, p(x|ĥ) ≥ c t then 3: Find the updating histogramĥ m and the ownership o m (x) by Equation (9). 4:…”

Section: Algorithm 2 Training Procedures Of Histogram Mixture Model (Hmentioning

confidence: 99%

“…As one of the most promising developments in remote sensing imagery, the satellite videos captured by Skybox and JL-1, have facilitated several emerging research and applications, including super resolution [1,2], video encoding [3,4] and target tracking [5,6]. They expand the earth observation capacity to rapid motion monitoring, such as vehicle and ship tracking [5,7,8].…”

Section: Introductionmentioning

confidence: 99%

Local Region Proposing for Frame-Based Vehicle Detection in Satellite Videos

Zhang

Jia

2019

Remote Sensing

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Current new developments in remote sensing imagery enable satellites to capture videos from space. These satellite videos record the motion of vehicles over a vast territory, offering significant advantages in traffic monitoring systems over ground-based systems. However, detecting vehicles in satellite videos are challenged by the low spatial resolution and the low contrast in each video frame. The vehicles in these videos are small, and most of them are blurred into their background regions. While region proposals are often generated for efficient target detection, they have limited performance on satellite videos. To meet this challenge, we propose a Local Region Proposing approach (LRP) with three steps in this study. A video frame is segmented into semantic regions first and possible targets are then detected in these coarse scale regions. A discrete Histogram Mixture Model (HistMM) is proposed in the third step to narrow down the region proposals by quantifying their likelihoods towards the target category, where the training is conducted on positive samples only. Experiment results demonstrate that LRP generates region proposals with improved target recall rates. When a slim Fast-RCNN detector is applied, LRP achieves better detection performance over the state-of-the-art approaches tested.

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Towards Real-Time Service from Remote Sensing: Compression of Earth Observatory Video Data via Long-Term Background Referencing

Cited by 11 publications

References 39 publications

Increasing the functionalities and accuracy of fisheries electronic monitoring systems

Increasing the functionalities and accuracy of fisheries electronic monitoring systems

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics

Local Region Proposing for Frame-Based Vehicle Detection in Satellite Videos

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