The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 11, 1998
Filed:
May. 10, 1996
Jae-Min Kim, Seoul, KR;
Young-Bum Jang, Seoul, KR;
Samsung Electronics Co., Ltd., Suwon, KR;
Abstract
Methods of estimating motion in image data include the steps of producing a first frame of image data from a received video signal containing information of an image data frame of higher predetermined resolution (e.g., 352.times.244 pixels) and producing a second image data frame of coarser resolution (e.g., 88.times.61 pixels) relative to the first image data frame. An estimate of motion in the second image data frame is then produced and used to determine a estimate of motion in the first image data frame of higher resolution. The estimate of motion in the first image data frame is then used to obtain an estimate of motion in the received image data frame of predetermined full resolution. The estimate of motion in the second image data frame can be determined by reading a plurality of motion vectors from an image block in a previous version of the second image data frame and reading image data in a reference block in a current version of the second image data frame. To obtain this estimate, an optimum motion vector is determined by predicting a plurality of motion vectors based on a corresponding plurality of motion models and selecting the best model and vector which yields the smallest difference signal. Once an optimum motion vector has been predicted, the plurality of motion vectors previously read are adjusted relative to the optimum motion vector. Then a determination is made as to which one of the plurality of vectors yields the smallest relative motion error so that this vector can be used as an estimation of motion from the previous version of the second image data frame to the current version of the second image data frame. These steps are then performed again for the first image data frame of higher resolution.