Wilfried M Osberger

US Patent:

6738099, May 18, 2004

Filed:

Feb 16, 2001

Appl. No.:

09/788135

Inventors:

Wilfried M. Osberger - Portland OR

Assignee:

Tektronix, Inc. - Beaverton OR

International Classification:

H04N 712

US Classification:

348699, 37524016, 382236

Abstract:

A robust technique for estimating camera motion parameters calculates the motion vectors for a current frame vis a vis a previous frame using a multi-scale block matching technique. The means of the motion vectors for the current and the previous frames are compared for a temporal discontinuity, the detection of such temporal discontinuity as a temporal repetition, such as frozen field or 3:2 pulldown, terminating the processing of the current frame with the camera motion parameter estimate for the previous frame being used for the current frame. Otherwise motion vectors for spatially flat areas and text/graphic overlay areas are discarded and an error-of-fit for the previous frame is tested to determine initial parameters for an iterative camera motion estimation process. If the error-of-fit is less than a predetermined threshold, then the camera motion parameters for the previous frame are used as the initial parameters, otherwise a best least squares fit is used as the initial parameters. Outlier motion vectors are removed and the camera motion parameters are recalculated using a least squares best fit in an iterative process until either the error-of-fit for the current frame is less than the predetermined threshold or the number of iterations exceeds a maximum.

US Patent:

7099518, Aug 29, 2006

Filed:

Jul 18, 2002

Appl. No.:

10/198944

Inventors:

Bei Li - Beaverton OR, US
Wilfried M. Osberger - Portland OR, US

Assignee:

Tektronix, Inc. - Beaverton OR

International Classification:

G06K 9/40
G06K 9/48

US Classification:

382255, 382199, 382266, 382263

Abstract:

A method for determine blurring in a test video sequence due to video processing includes detecting blocks within each frame of the test video sequence that have valid image edges. An edge point within each valid image edge block is selected and a series of points defining an edge profile in the block along a line normal to the valid image edge at each edge point is defined from an enhanced edge map in which video processing blockiness artifacts have been removed. From the edge profile a blurring value is estimated for each frame or group of frames within the test video sequence. Additionally a reference blurring value may be derived from a reference video sequence corresponding to the test video sequence, which reference blurring value may be generated at a source of the reference video sequence and transmitted with the test video sequence to a receiver or may be generated at the receiver. The reference blurring value is then compared with the blurring value from the test video sequence to produce a relative blurring value for the test video sequence.

US Patent:

20020126891, Sep 12, 2002

Filed:

Jan 17, 2001

Appl. No.:

09/764726

Inventors:

Wilfried Osberger - Portland OR, US

International Classification:

G06K009/34

US Classification:

382/165000, 382/173000

Abstract:

An improved visual attention model uses a robust adaptive segmentation algorithm to divide a current frame of a video sequence into a plurality of regions based upon both color and luminance, with each region being processed in parallel by a plurality of spatial feature algorithms including color and skin to produce respective spatial importance maps. The current frame and a previous frame are also processed to produce motion vectors for each block of the current frame, the motion vectors being compensated for camera motion, and the compensated motion vectors being converted to produce a temporal importance map. The spatial and temporal importance maps are combined using weighting based upon eye movement studies.