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In many environmental monitoring applications, since the data periodically sensed by wireless sensor networks usually are of high temporal redundancy, prediction-based data aggregation is an important approach for reducing redundant data communications and saving sensor nodes' energy.
intra-block temporal redundancy.
Our proposed method exploits the temporal redundancy in depth video sequences.
The method is based on rules to avoid temporal redundancy between the selected frames.
However, intra coding does not take profit of the temporal redundancy between frames.
This is achieved through the simultaneous use of two error detecting techniques: temporal redundancy and parity.
The geometric constraints are valuable for reducing spatial and temporal redundancy in multiview video coding (MVC).
While digital video may suffer from lower SNR, it also provides 3D data that often has significant temporal redundancy [2].
Methods designed for photo collections do not consider the video temporal redundancy, thus cannot scale to video collection problems easily.
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Groundwater monitoring strategies can be substantially improved by removing the existing spatio-temporal redundancy as well as incorporating unmonitored network along with sampling at recommended interval of time.
Due to the spatial-temporal redundancy of the measurement field, the spatial-temporal correlation function between any two arbitrary data samples is assumed as E x ( η 1 ) x ( η 2 ) = ρ s ∥ c 1 − c 2 ∥ · ρ t | t 1 − t 2 | (1).
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