Temporal smoothing of scene analysis data for image sequence generation
First Claim
1. A method for processing a sequence of source images of a visual scene comprising the steps of:
- (a) analyzing the sequence of images to develop a data model of selected characteristics of the scene;
(b) selecting at least two time-based series of data sets from the data model of selected characteristics provided by the scene analysis process;
(c) comparing corresponding parametric values of a given time series with corresponding parametric values of another times series data sets, and (d) applying a smoothing filter and scaling adjustments to the parametric values to modify the data sets, to obtain visually pleasing results in a design visualization application.
2 Assignments
0 Petitions
Accused Products
Abstract
A technique for temporal smoothing of results from a scene analysis process which creates a sequence of visually pleasing and acceptable images generated in whole or part from such results. The technique applies temporal smoothing across time-related sets of scene analysis results. The spatial smoothing can be applied at various steps in the process: to images in the original sequence, to intermediate or final results of scene analysis in either a pixel-oriented or geometric domain, or to the images generated in whole or part from the scene analysis results. In a preferred embodiment, different levels of smoothing are applied to different parts of the intermediate or final results. The differentiation can be done using image masks (for pixel-oriented results) or geometry selection techniques (for geometric results). This allows a higher level of smoothing in certain areas where the generated visual images will benefit from such additional smoothing, while avoiding over-smoothing in other areas where the smoothing would obscure critical details within the generated images.
-
Citations
19 Claims
-
1. A method for processing a sequence of source images of a visual scene comprising the steps of:
-
(a) analyzing the sequence of images to develop a data model of selected characteristics of the scene;
(b) selecting at least two time-based series of data sets from the data model of selected characteristics provided by the scene analysis process;
(c) comparing corresponding parametric values of a given time series with corresponding parametric values of another times series data sets, and (d) applying a smoothing filter and scaling adjustments to the parametric values to modify the data sets, to obtain visually pleasing results in a design visualization application. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
-
-
16. A method for processing a sequence of source images of a visual scene comprising the steps of:
-
(a) analyzing the sequence of images to develop a data model of selected characteristics of the scene;
(b) selecting at least two time-based series of data sets from the data model of selected characteristics provided by the scene analysis process;
(c) comparing corresponding parametric values of a given time series with corresponding parametric values of another times series data sets;
(d) deriving a gamma coefficient for each of a multiplicity of pixels, the gamma coefficients being inversely proportional to the pixel depth of the pixels; and
(e) modifying the parametric values and the gamma coefficients, to obtain visually pleasing results in a design visualization application. - View Dependent Claims (17, 18, 19)
-
Specification