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The prediction step is a very important part of hybrid video codecs. In this contribution, a novel spatio-temporal prediction algorithm is introduced. For this, the prediction is carried out in two steps. Firstly, a preliminary temporal prediction is conducted by motion compensation. Afterwards, spatial refinement is carried out for incorporating spatial redundancies from already decoded neighboring...
The prominent virtues of grey prediction are small information, few data and a little of computation. The conventional PID controller has strong robustness, sophisticated technology and simple structure, so it has been used widely in the process control. With the adjustable role of feedback response of biological immune systems, the capability of simulating non-linear functions with fuzzy rationalizing...
In this paper, we propose the technique for tracking the velocity of objects that combines the particle filter with optical flow. If color of the target or feature of its shape is unknown, some conventional particle filters are hard to apply because the prediction step of them are based on probabilistic theory. This problem can be solved by estimation method of optical flow. Experimental results show...
In many applications it is desired that discrete-discrete filtering problem can be solved in a reliable and computationally efficient manner. In particular, the signal and measurement models often include nonlinearity and/or non-Gaussian characteristics. In this paper, it is pointed out that this can be done efficiently by noting two key observations. Firstly, the bulk of the computations associated...
A model based approach called k-t BLAST/SENSE, has drawn significant attentions from MR imaging community due to its improved spatio-temporal resolution. Recently, we showed that k-t BLAST/SENSE corresponds to the special case of a new dynamic MRI algorithm called k-t FOCUSS that is asymptotically optimal from compressed sensing perspective. The k-t FOCUSS exploits the sparsity of x-f support of dynamic...
This paper presents a contribution to programming by human demonstration, in the context of compliant-motion task specification for sensor-controlled robot systems that physically interact with the environment. One wants to learn about the geometric parameters of the task and segment the total motion executed by the human into subtasks for the robot, that can each be executed with simple compliant-motion...
In most applications in control engineering not all state variables can be measured. Consequently, state estimation is performed to reconstruct the non-measurable states taking into account both system dynamics and the measurement model. If the system is subject to interval bounded uncertainties, an interval observer provides a guaranteed estimation of all states. The estimation consists of a recursive...
Motion-compensated temporal filtering (MCTF) is the core technology of the next generation scalable video coding schemes. There are two key steps in MCTF process, prediction step and update step. In this paper, an efficient scheme along with the hardware architecture of update step for VLSI implementation is proposed. The proposed update step scheme can reduce 55% off-chip memory access and turn the...
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