Patent ID: 6751350
Filing Date: 2004-06-15
Classification: H04N

Abstract:
A method for automatically segmenting foreground and background objects in images, comprising:receiving a first image associated with a first time reference; extracting macroblocks from a second image associated with a second time reference; mapping the macroblocks with corresponding arrays in the first image according to macroblock local vectors; deriving frame residuals between the macroblocks and the corresponding arrays in the first image; identifying the macroblocks as different frame prediction types according to particular types of local vectors used for mapping the macroblocks to the first image; deriving multiple local motion vectors mapping different subportions of the macroblocks to subimage arrays in the first image; deriving residuals by comparing the subportions of the macroblocks with the mapped subimage arrays; identifying macroblocks as a submacroblock prediction types according to the derived residuals of the subportions of the macroblocks; and classifying the submacroblock prediction type macroblocks as foreground.