Information-Constrained Resource Allocation in Multicamera Wireless Surveillance Networks

Shiang, Hsien-Po; Schaar, Mihaela van der

doi:10.1109/tcsvt.2009.2035837

Cited by 38 publications

(21 citation statements)

References 25 publications

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“…Thus, in order to improve the quality of these multiview services, there is the need to optimize the scheduling policy. Classical RA techniques cannot solve our problem, since source correlation is usually not part of the optimization problem [3], [5]. In this work, we demonstrate the need of optimized correlation-aware scheduling policies, which are able to efficiently share resources in multi-view systems.…”

Section: Introductionmentioning

confidence: 93%

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Correlation-aware packet scheduling for multi-camera streaming

Toni

Maugey

Frossard

2012

2012 19th International Packet Video Workshop (PV)

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Abstract-In multi-view applications, multiple cameras acquire the same scene from different perspectives, which results in correlated video streams. It becomes important to exploit this correlation at the acquisition side (i.e., in the source coding) or at the receiver side (i.e., during error-concealment). In this work, we propose a correlation-aware scheduling algorithm for multi-camera sets, in which information from all views need to be sent over a bottleneck channel to clients that decode the 3D scene captured by the cameras. Based on a novel rate-distortion model, that takes into account the correlation between sources, we propose a solution that minimizes the distortion in the scene reconstruction and adapts to temporal variations in the scene content. Simulation results show the gain of the scheduling algorithm when the correlation model is known in the optimization, compared to scheduling policies with no information about the correlation or with a priori camera selection algorithms.

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Section: Introductionmentioning

confidence: 93%

“…In [3], rate allocation (RA) techniques have been considered for video surveillance systems, however the correlation between sources has not been directly exploited. In [4], a spatial correlation model has been proposed for camera selection in wireless sensor networks.…”

Section: Introductionmentioning

confidence: 99%

Correlation-aware packet scheduling for multi-camera streaming

Toni

Maugey

Frossard

2012

2012 19th International Packet Video Workshop (PV)

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“…As a result, they do have a need for adequate support for the QoS required by the delay-sensitive and bandwidth-intensive multimedia data that they currently do not display. These restrictions do not significantly impact delay-insensitive data acquisition but can have considerable consequences for the real-time surveillance or monitoring applications as they often lead to insufficient or improper measurements and erroneous event detection [36].…”

Section: Surveillance and Securitymentioning

confidence: 99%

“…In these types of multimedia systems, several sources share the limited network resources and together transmit the captured video streams to a remote central monitor [36].…”

Section: Surveillance and Securitymentioning

confidence: 99%

Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources

et al. 2015

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Abstract:The paper discusses Home Area Networks (HAN) communication technologies for smart home and domestic application integration. The work is initiated by identifying the application areas that can benefit from this integration. A broad and inclusive home communication interface is analysed utilizing as a key piece a Gateway based on machine-to-machine (M2M) communications that interacts with the surrounding environment. Then, the main wireless networks are thoroughly assessed, and later, their suitability to the requirements of HAN considering the application area is analysed. Finally, a qualitative analysis is portrayed.

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“…Simulation results demonstrate that the proposed scheduling algorithm outperforms correlation-agnostic scheduling policies or static camera selection algorithms. This shows the need of correlation-aware scheduling policies in multiviews systems, which are able to efficiently share network resources among cameras, while rate allocation (RA) techniques proposed in the literature cannot solve such a scheduling problem, since they usually do not consider correlation between sources [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Correlation-Aware Packet Scheduling in Multi-Camera Networks

Toni

Maugey

Frossard

2014

IEEE Trans. Multimedia

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In multiview applications, multiple cameras acquire the same scene from different viewpoints and generally produce correlated video streams. This results in large amounts of highly redundant data. In order to save resources, it is critical to handle properly this correlation during encoding and transmission of the multiview data. In this work, we propose a correlation-aware packet scheduling algorithm for multi-camera networks, where information from all cameras are transmitted over a bottleneck channel to clients that reconstruct the multiview images. The scheduling algorithm relies on a new rate-distortion model that captures the importance of each view in the scene reconstruction. We propose a problem formulation for the optimization of the packet scheduling policies, which adapt to variations in the scene content. Then, we design a low complexity scheduling algorithm based on a trellis search that selects the subset of candidate packets to be transmitted towards effective multiview reconstruction at clients. Extensive simulation results confirm the gain of our scheduling algorithm when inter-source correlation information is used in the scheduler, compared to scheduling policies with no information about the correlation or non-adaptive scheduling policies. We finally show that increasing the optimization horizon in the packet scheduling algorithm improves the transmission performance, especially in scenarios where the level of correlation rapidly varies with time.

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Information-Constrained Resource Allocation in Multicamera Wireless Surveillance Networks

Cited by 38 publications

References 25 publications

Correlation-aware packet scheduling for multi-camera streaming

Correlation-aware packet scheduling for multi-camera streaming

Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources

Correlation-Aware Packet Scheduling in Multi-Camera Networks

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