PhotoNet: A Similarity-Aware Picture Delivery Service for Situation Awareness

Uddin, Yusuf Sarwar; Hong-yan, Wang; Saremi, Fatemeh; Qi, Guo-Jun; Abdelzaher, Tarek; Huang, Thomas S.

doi:10.1109/rtss.2011.36

Cited by 67 publications

(47 citation statements)

References 23 publications

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“…On the basis of the combination of wavelet-based image decomposition and cooperative communication, an energy efficient image transmission strategy for WSNs was proposed [24]. A picture delivery service for camera sensor networks was proposed in [25], which is motivated by the needs of disaster-response applications. Zhi Ren et al [26] studied an efficient low-delay routing algorithm, epidemic routing according to the adaptive compression of vectors, which could adaptively reduce the length of SVs and RVs by compressing the same bit sequences.…”

Section: Related Workmentioning

confidence: 99%

Image processing and transmission scheme based on generalized Gaussian mixture with opportunistic networking for wireless sensor networks

Hao

2015

J Wireless Com Network

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For satisfying the quality of service (QoS) requirements and image denoising services in wireless sensor network (WSN) applications, based on opportunistic networking technology and generalized Gaussian mixture algorithm, an adaptive image processing and transmission scheme is proposed in this paper. According to the real-time state record matrix, the multi-objective optimization scheme with equalizer coefficients and the opportunistic cooperative scheme in view of energy and computing ability are studied, respectively. Then, the generalized Gaussian mixture algorithm is used to reduce the image data and eliminate the noise interference from the WSN environment. Finally, Simulation results show that the proposed scheme has better QoS support capability results such as reliability, real-time performance, and energy efficiency, as well as the image decoding accuracy including peak signal to noise ratio.

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Section: Related Workmentioning

confidence: 99%

Image processing and transmission scheme based on generalized Gaussian mixture with opportunistic networking for wireless sensor networks

Hao

2015

J Wireless Com Network

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“…This work presents a more careful synthesis of the multimedia algorithms, a system for scalable IBR resolution, and an end-to-end implementation. Other recent work has leveraged multimedia algorithms in the context of disaster-recovery applications [41,37]. These efforts focus on images and largely use the algorithms as deduplication tools.…”

Section: Related Workmentioning

confidence: 99%

Enhancing video accessibility and availability using information-bound references

Anand¹,

Balachandran

Sekar

et al. 2013

Proceedings of the Ninth ACM Conference on Emerging Networking Experiments and Technologies

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Users are often frustrated when they cannot view video links shared via blogs, social networks, and shared bookmark sites on their devices or suffer performance and usability problems when doing so. While other versions of the same content better suited to their device and network constraints may be available on other third-party hosting sites, these remain unusable because users cannot efficiently discover these and verify that these variants match the content publisher's original intent. Our vision is to enable consumers to leverage verifiable alternatives from different hosting sites that are best suited to their constraints to deliver a high quality of experience and enable content publishers to reach a wide audience with diverse operating conditions with minimal upfront costs. To this end, we make a case for informationbound references or IBRs that bind references to video content to the underlying information that a publisher wants to convey, decoupled from details such as protocols, hosts, file names, or the underlying bits. This paper addresses key challenges in the design and implementation of IBR generation and resolution mechanisms, and presents an evaluation of the benefits IBRs offer.

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“…Previous research and applications, e.g. CreekWatch [2], GarbageWatch [3], PhotoNet [4], PhotoCity [5], WreckWatch [6], FlierMeet [7], and Mediascope [8] is useful and superior to traditional approaches to visual sensing, e.g. deployment of static cameras for monitoring.…”

Section: Introductionmentioning

confidence: 99%

“…river pollution monitoring [2], climate change sensing [11], congestion condition monitoring [12], disaster/event images collection [4], [8], [13], or posted flier reposting [7]). Our work, however, aims to build a generic framework to address the different requirements of MCP applications.…”

Section: Introductionmentioning

confidence: 99%

“…These data constitute the evolving data stream. Since the later-coming duplicate data might be useless in the data sequence, data pre-selection should be conducted for the evolving picture streams to maintain the useful data and minimize the communication overhead [4], [8], [13]. For example, the data center should make a quick decision on whether the data is worth being uploaded according to the task constraints.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

CrowdPic: A Multi-coverage Picture Collection Framework for Mobile Crowd Photographing

Chen

Guo

et al. 2015

2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computi

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Abstract-Mobile Crowd Photographing (MCP) is attracting an emerging area of interest for researchers as cameras of mobile devices are becoming an indispensable visual logging device in people's everyday lives. In order to meet diverse MCP application constraints/requirements (e.g. where and when to sense, sampling frequency, single or multiple shooting angles) to sensing targets, a multi-facet task model should be defined as a generic MCP data collection framework. Furthermore, MCP collects pictures in a distributed way in which a large number of contributors upload pictures whenever and wherever it is suitable. This inevitably leads to evolving picture streams. This paper investigates the multi-constraint-driven data selection problem in MCP picture aggregation, and propose a pyramid-tree (PTree) model which can efficiently select an optimal subset from the evolving picture streams based on varied coverage needs of MCP tasks. By utilizing the PTree model in a generic MCP data collection framework called CrowdPic, we test and evaluate the effectiveness, efficiency and flexibility of the proposed framework through both crowdsourcing-based and simulation-based experiments. Both the theoretical analysis and simulation results indicate that the PTree-based framework can effectively select a subset with high utility coverage and low redundancy ratio from the streaming data. The overall framework is also proved flexible and applicable to a wide range of MCP task scenarios.

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PhotoNet: A Similarity-Aware Picture Delivery Service for Situation Awareness

Cited by 67 publications

References 23 publications

Image processing and transmission scheme based on generalized Gaussian mixture with opportunistic networking for wireless sensor networks

Image processing and transmission scheme based on generalized Gaussian mixture with opportunistic networking for wireless sensor networks

Enhancing video accessibility and availability using information-bound references

CrowdPic: A Multi-coverage Picture Collection Framework for Mobile Crowd Photographing

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