SmartPhoto: A Resource-Aware Crowdsourcing Approach for Image Sensing with Smartphones

Wu, Yibo; Wang, Yi; Hu, Wenjie; Cao, Guohong

doi:10.1109/tmc.2015.2444379

Cited by 47 publications

(30 citation statements)

References 24 publications

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“…The weighted Euclidean distance is used to calculate the appropriate route in the area to calculate the similarity of the nodes in the graph. According to the formula, find the most similar time the sequence coordinates are compared to find the most suitable path as shown in the figure above [23].…”

Section: Dtw Dynamic Matching Action Recognition Algorithmmentioning

confidence: 99%

Aerobics Movement Decomposition Action Teaching System Based on Intelligent Vision Sensor

Sun

2021

Journal of Sensors

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With the development of the times, teaching has not only stayed between people, but also gradually developed into the teaching interaction between man and machine. In the past, the teaching form was relatively single and old. Based on the intelligent visual sensor, this paper develops an auxiliary teaching system for the decomposition of aerobics action and reasonably uses the Internet and algorithms to catalog a series of aerobics action systems into the system. The DTW dynamic motion matching algorithm of the system will recognize human actions more accurately. The system will feed back human actions to the system in real time based on human feature recognition. Then, after comparison, the system will display the standard posture of this action and the aerobics posture in the next step. Therefore, this system develops teaching not only in class, but everywhere. The system not only improves the teaching quality of aerobics, but also strengthens the physical quality of teenagers. It has a new understanding of the standardization of aerobics teaching. After the function of the system is complete, the system will be distributed to aerobics learners. In many feedback information, the average use satisfaction has reached about 80%, which is a good performance index for the performance of the system itself.

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Section: Dtw Dynamic Matching Action Recognition Algorithmmentioning

confidence: 99%

Aerobics Movement Decomposition Action Teaching System Based on Intelligent Vision Sensor

Sun

2021

Journal of Sensors

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“…Crowdsourced VR Video Generation: The current VR market lacks of UHD video sources, owing to the harsh demand for UHD 360-degree video acquisition equipment and the long video shooting process. Except for a low-cost design on video shooting devices, the VR content can also be generated from aggression of crowdsoured image or video clips [120]- [122]. However, such methods often have resource constraints in terms of bandwidth, storage, and processing capability, which limit the number of videos that can be crowdsourced.…”

Section: A Issues On System Designmentioning

confidence: 99%

Virtual Reality: A Survey of Enabling Technologies and its Applications in IoT

Luo

Chen

et al. 2021

Preprint

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Virtual Reality (VR) has shown great potential to revolutionize the market by providing users immersive experiences with freedom of movement. Compared to traditional video streaming, VR is with ultra high-definition and dynamically changes with users' head and eye movements, which poses significant challenges for the realization of such potential. In this paper, we provide a detailed and systematic survey of enabling technologies of virtual reality and its applications in Internet of Things (IoT). We identify major challenges of virtual reality on system design, view prediction, computation, streaming, and quality of experience evaluation. We discuss each of them by extensively surveying and reviewing related papers in the recent years. We also introduce several use cases of VR for IoT. Last, issues and future research directions are also identified and discussed.

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“…As a result, VCS has broadened the range of mobile crowdsensing applications. Flexsensing [ 2 ], LuckyPhoto [ 3 ], SmartPhoto [ 4 ], Picpick [ 5 ], FlierMeet [ 6 ], and CrowdTracking [ 7 ] are examples of previous projects that demonstrate that VCS is useful and, in many cases, superior to traditional visual sensing solutions that rely on the deployment of stationary cameras for monitoring.…”

Section: Introductionmentioning

confidence: 99%

Distributed Visual Crowdsensing Framework for Area Coverage in Resource Constrained Environments

Mowafi

Awad

Al-Quran

2022

Sensors

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Visual crowdsensing applications using built-in cameras in smartphones have recently attracted researchers’ interest. Making the most out of the limited resources to acquire the most helpful images from the public is a challenge in disaster recovery applications. Proposed solutions should adequately address several constraints, including limited bandwidth, limited energy resources, and interrupted communication links with the command center or server. Furthermore, data redundancy is considered one of the main challenges in visual crowdsensing. In distributed visual crowdsensing systems, photo sharing duplicates and expands the amount of data stored on each sensor node. As a result, if any node can communicate with the server, then more photos of the target region would be available to the server. Methods for recognizing and removing redundant data provide a range of benefits, including decreased transmission costs and energy consumption overall. To handle the interrupted communication with the server and the restricted resources of the sensor nodes, this paper proposes a distributed visual crowdsensing system for full-view area coverage. The target area is divided into virtual sub-regions, each of which is represented by a set of boundary points of interest. Then, based on the criteria for full-view area coverage, a specific data structure theme is developed to represent each photo with a set of features. The geometric context parameters of each photo are utilized to extract the features of each photo based on the full-view area coverage criteria. Finally, data redundancy removal algorithms are implemented based on the proposed clustering scheme to eliminate duplicate photos. As a result, each sensor node may filter redundant photographs in dispersed contexts without requiring high computational complexity, resources, or global awareness of all photos from all sensor nodes inside the target area. Compared to the most recent state-of-the-art, the improvement ratio of the added values of the photos provided by the proposed method is more than 38%. In terms of traffic transfer, the proposed method requires fewer data to be transferred between sensor nodes and between sensor nodes and the command center. The overall reduction in traffic exceeds 20% and the overall savings in energy consumption is more than 25%. It was evident that in the proposed system, sending photos between sensor nodes, as well as between sensor nodes and the command center, consumes less energy than existing approaches due to the considerable amount of photo exchange required. Thus, the proposed technique effectively transfers only the most valuable photos needed.

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SmartPhoto: A Resource-Aware Crowdsourcing Approach for Image Sensing with Smartphones

Cited by 47 publications

References 24 publications

Aerobics Movement Decomposition Action Teaching System Based on Intelligent Vision Sensor

Aerobics Movement Decomposition Action Teaching System Based on Intelligent Vision Sensor

Virtual Reality: A Survey of Enabling Technologies and its Applications in IoT

Distributed Visual Crowdsensing Framework for Area Coverage in Resource Constrained Environments

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