Method for compressing and decompressing video image data
AssigneeAtvisican AG
InventorUwe Prochnow
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AssigneeAtvisican AG
InventorUwe Prochnow
Estimating the term…
A method for compressing and decompressing video image date, wherein the contours of image structures are determined in a basic analysis of the video data contained in a video image by means of sudden modifications of brightness and/or tristimulus value in adjacent pixels; the contours thus found are respectively described in segments by means of a parameterized mathematical function and are defined as objects; a color dominance and a color characteristic is determined for the individual objects, in addition to the position and extension of the individual objects and a structural function, such that differential modification in brightness, size, position and orientation of said objects are determined in sequential analyses of video images, taking into account common contours of contiguous objects. The objects thus defined are placed in a structured base frame or sequential frame and are prepared. Contour analysis and structural analysis is carried out by means of neuronal networks.
A method for compressing and decompressing video image data of video image sequences or the like, which are present as a sequence of in each case in two-dimensionally addressable pixels of associated pixel data 3, wherein in each case the pixel data of selected pixel quantities are analyzed with mathematical functions and are compressed reduced to their function parameters and after storage and/or transmission are decompressed with a corresponding mathematical function such that they are largely regenerated, characterized in that in a basic analysis of the video data of a video image
A method in accordance with any of the above claims, characterized in that structure functions (OS) that have been determined are stored with their parameters of objects and backgrounds in a neural network (NN2), which serves as a starting basis in the further determination of structure functions (OS) with their parameters.
A method in accordance with any of the above claims, characterized in that the structure function (OS) is represented in each case as a mathematical function and the parameters are whole-number values and the function provides an unlimited number of places after the decimal point.
A method in accordance with any of the preceding claims, characterized in that in each case only those objects are subjected to further identification and characterization that have a minimum number of pixels, and smaller objects are assigned to the background.
Dependencies are inferred from the claim text.