Analytical Rate-Distortion-Complexity Modeling of Wavelet-Based Video Coders

Foo, Brian; Andreopoulos, Yiannis; Schaar, Mihaela van der

doi:10.1109/tsp.2007.906685

Cited by 25 publications

(20 citation statements)

References 37 publications

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“…Specifically, such marginal statistics can be obtained by [36], [37]: (i) fitting PDFs to sets of past measurements of data rates and power, with the statistical moments (parameters) of such distributions characterized by another PDF; (ii) integrating over the parameter space to derive the final form of P (ψ) and P (χ). For example, if the data transmission rate is modeled as a HalfGaussian distribution with variance parameter that is itself exponentially distributed, by integrating over the parameter space, the marginal statistics of the data rate become Laplacian [36], [37]. The disadvantage of using marginal statistics for the data transmission rate and the power produced by the harvester is the removal of the stochastic dependencies to transient physical properties of these quantities.…”

Section: B Definitionsmentioning

confidence: 99%

“…Knowing that c bp > 0, the last condition can be simplified to (37). When enforcing the equality condition in (37), then data transmission rates characterized by α−Pareto and Uniform PDF (under the same mean) will lead to the same harvested energy requirements.…”

Section: Proposition 1 (Pareto Vs Uniform Pdf)mentioning

confidence: 99%

“…When enforcing the equality condition in (37), then data transmission rates characterized by α−Pareto and Uniform PDF (under the same mean) will lead to the same harvested energy requirements. Since there is no closed-form solution for (37) under the equality condition, the numerical evaluation of c bp under this condition is provided in Figure 3 for α ∈ {2, .…”

Section: Proposition 1 (Pareto Vs Uniform Pdf)mentioning

confidence: 99%

See 2 more Smart Citations

Analytic Conditions for Energy Neutrality in Uniformly-Formed Wireless Sensor Networks

Besbes

Smart

Buranapanichkit

et al. 2013

IEEE Trans. Wireless Commun.

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This is the unspecified version of the paper.This version of the publication may differ from the final published version. Abstract-Future deployments of wireless sensor network (WSN) infrastructures for environmental or event monitoring are expected to be equipped with energy harvesters (e.g. piezoelectric, thermal, photovoltaic) in order to substantially increase their autonomy. In this paper we derive conditions for energy neutrality, i.e. perpetual energy autonomy per sensor node, by balancing the node's expected energy consumption with its expected energy harvesting capability. Our analysis assumes a uniformly-formed WSN, i.e. a network comprising identical transmitter sensor nodes and identical receiver/relay sensor nodes with a balanced cluster-tree topology. The proposed framework is parametric to: (i) the duty cycle for the network activation; (ii) the number of nodes in the same tier of the cluster-tree topology; (iii) the consumption rate of the receiver node(s) that collect (and possibly relay) data along with their own; (iv) the marginal probability density function (PDF) characterizing the data transmission rate per node; (v) the expected amount of energy harvested by each node. Based on our analysis, we obtain the number of nodes leading to the minimum energy harvesting requirement for each tier of the WSN cluster-tree topology. We also derive closed-form expressions for the difference in the minimum energy harvesting requirements between four transmission rate PDFs in function of the WSN parameters. Permanent repository linkOur analytic results are validated via experiments using TelosB sensor nodes and an energy measurement testbed. Our framework is useful for feasibility studies on energy harvesting technologies in WSNs and for optimizing the operational settings of hierarchical WSN-based monitoring infrastructures prior to time-consuming testing and deployment within the application environment.

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Section: B Definitionsmentioning

confidence: 99%

Section: Proposition 1 (Pareto Vs Uniform Pdf)mentioning

confidence: 99%

Section: Proposition 1 (Pareto Vs Uniform Pdf)mentioning

confidence: 99%

See 1 more Smart Citation

Analytic Conditions for Energy Neutrality in Uniformly-Formed Wireless Sensor Networks

Besbes

Smart

Buranapanichkit

et al. 2013

IEEE Trans. Wireless Commun.

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“…The behavior of a performance constrained application can be represented by a Quality-Complexity (Q-C) plot [24][25][26] (see Figure 4). Every valid operating configuration (for a fixed input, process and environmental condition) c is represented by a point (x c , y c ) on the Q-C plot, where the Y-coordinate (y c ) represents Quality (Quality(c)) and Xcoordinate (x c ) represents execution time of the application (ET (c)) in that configuration.…”

Section: Q-c Plot and Modeling Hardware Signaturesmentioning

confidence: 99%

AppAdapt: Opportunistic Application Adaptation in Presence of Hardware Variation

Pant

Gupta

Schaar

2012

IEEE Trans. VLSI Syst.

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Abstract-In this work, we propose a method to reduce the impact of process variations by adapting the application's algorithm at the software layer. We introduce the concept of hardware signatures as the measured post manufacturing hardware characteristics that can be used to drive software adaptation across different die. Using H.264 encoding as an example, we demonstrate significant yield improvements (as much as 30% points at 0% hardware overdesign), a reduction in overdesign (by as much as 8% points at 80% yield) as well as application quality improvements (about 2.0dB increase in average peak-signal-to-noise ratio at 70% yield). Further, we investigate implications of limited information exchange (i.e. signature quantization) on yield and quality. We conclude that hardware-signature based application adaptation is an easy and inexpensive (to implement), better informed (by actual application requirements) and effective way to manage yield-costquality tradeoffs in application-implementation design flows.

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“…For example, when implementing compression, complexity is an essential factor, and the rate-distortion-complexity tradeoff was studied [39]. When transmitting the compressed multimedia content through wireless communication systems, energy consumption needs to be considered, where power-rate-distortion tradeoff was analyzed [40].…”

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confidence: 99%

On Antiforensic Concealability With Rate-Distortion Tradeoff

Chu

Chen

Liu

2015

IEEE Trans. on Image Process.

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A signal's compression history is of particular forensic significance because it contains important information about the origin and authenticity of a signal. Because of this, antiforensic techniques have been developed that allow a forger to conceal manipulation fingerprints. However, when antiforensic techniques are applied to multimedia content, distortion maybe introduced, or the data size may be increased. Furthermore,when compressing an antiforensically modified forgery, a tradeoff between the rate and distortion is introduced into the system. As a result, a forger must balance three factors, such as how much the fingerprints can be forensically concealed, the data rate, and the distortion, are interrelated to form a 3D tradeoff. In this paper, we characterize this tradeoff by defining concealability and using it to measure the effectiveness of an antiforensic attack. Then, to demonstrate this tradeoff in a realistic scenario, we examine the concealability-rate-distortion tradeoff in double JPEG compression antiforensics. To evaluate this tradeoff, we propose flexible antiforensic dither as an attack in which the forger can vary the strength of antiforensics. To reduce the time and computational complexity associated with decoding a JPEG file, applying antiforensics, and recompressing, we propose anantiforensic transcoder to efficiently complete these tasks in one step. Through simulation, two surprising results are revealed. One is that if a forger uses a lower quality factor in the second compression, applying antiforensics can both increase concealability and decrease the data rate. The other is that for any pairing of concealability and distortion values, achieved using a higher secondary quality factor, can also be achieved using a lower secondary quality factor at a lower data rate. As a result, the forger has an incentive to always recompress using a lower secondary quality factor.

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Analytical Rate-Distortion-Complexity Modeling of Wavelet-Based Video Coders

Cited by 25 publications

References 37 publications

Analytic Conditions for Energy Neutrality in Uniformly-Formed Wireless Sensor Networks

Analytic Conditions for Energy Neutrality in Uniformly-Formed Wireless Sensor Networks

AppAdapt: Opportunistic Application Adaptation in Presence of Hardware Variation

On Antiforensic Concealability With Rate-Distortion Tradeoff

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