Teranex, Inc.

Barry A Kahn

Albert R Sanders

A progressive video frame is detected in a sequence of video fields, wherein the sequence of video fields includes a target video field. Detection includes generating one or more metrics by comparing the target video field with an immediately preceding and/or immediately succeeding video field. The metrics are compared with one or more threshold values. The immediately preceding and/or immediately succeeding video field is determined to have been derived from a same progressive video frame as the target video field if the one or more metrics are less than their respective threshold values. The metrics in this case may be indicative of a quantity of interlace artifacts. Alternatively, metrics indicative of an amount of represented motion may be derived by comparing a target video field with each of an immediately preceding and immediately succeeding video field. The relative values of the metrics with respect to one another is then used to indicate whether one or both of the immediately preceding and immediately succeeding video fields is a progressive match for the target video field.

Detection of progressive frames in a video field sequence

Video images are processed to detect image motion among sequential images (e.g., progressive non-interlaced images of a video signal and/or interlaced fields of a video signal), each image being represented using a plurality of pixels. Exemplary embodiments replace block-based motion estimation with pixel-based motion estimation. A correlation surface is generated for every pixel in a reference image, from which a motion vector and confidence metric (i.e., a measure of confidence in the accuracy of the motion vector) are extracted for each pixel.

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Orlando, FL, United States of America

Barry A Kahn