Search results for "Flow computation"

showing 3 items of 3 documents

Importance of quantiser design compared to optimal multigrid motion estimation in video coding

2000

Adaptive flow computation and DCT quantisation play complementary roles in motion compensated video coding schemes. Since the introduction of the intuitive entropy-constrained motion estimation of Dufaux et al. (1995), several optimal variable-size block matching algorithms have been proposed. Many of these approaches put forward their intrinsic optimality, but the corresponding visual effect has not been explored. The relative importance of optimal multigrid motion estimation with regard to quantisation is addressed in the context of MPEG-like coding. It is shown that while simpler (suboptimal) motion estimates give subjective results as good as the optimal motion estimates, small enhancem…

Flow computationMultigrid methodbusiness.industryMotion estimationDiscrete cosine transformComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessAlgorithmMathematicsQuarter-pixel motionCoding (social sciences)Electronics Letters
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An Integrated Neural and Algorithmic System for Optical Flow Computation

1997

Motion detection plays a central role in several visual environments: knowledge of object velocities and trajectories is fundamental in scene interpretation and segmentation. This task appears a simple problem, but detecting moving objects is very difficult, in fact this is a problem that cannot be considered completely solved today [1] [2] [3].

Optical flow computationbusiness.industryComputer scienceEpipolar geometryEpipolar lineOptical flowMotion detectionSegmentationComputer visionArtificial intelligenceFundamental matrix (computer vision)business
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Perceptually weighted optical flow for motion-based segmentation in MPEG-4 paradigm

2000

In the MPEG-4 paradigm, the sequence must be described in terms of meaningful objects. This meaningful, high-level representation should emerge from low-level primitives such as optical flow and prediction error which are the basic elements of previous-generation video coders. The accuracy of the high-level models strongly depends on the robustness of the primitives used. It is shown how perceptual weighting in optical flow computation gives rise to better motion estimates which consistently improve motion-based segmentation compared to equivalent unweighted motion estimates.

business.industryMean squared prediction errorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowcomputer.file_formatPerceptual weightingOptical flow computationRobustness (computer science)Motion estimationComputer Science::MultimediaMPEG-4Computer visionSegmentationArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerMathematicsElectronics Letters
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