摘要:
A method for compressing and decompressing video image data, 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 modifications 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.
摘要:
The invention relates to a communication system comprising a central station (1), provided with a memory (MEM) and a connection device (COM) to at least one communication network (NET). Said communication system provides video information, in particular digitalized images and films, which are transmitted via said communication network (NET) to each remote station (2), connected to said network. Said video information is optionally buffered into said remote station (2) and displayed on a visual display terminal (VID2). According to said invention, the memory (MEM) of said central station (1) is an electronic memory (MEM), in which several video information blocks (VIDB) are to be memorized, which are recorded in an index (CONT). Said memory transmits one of the selected information blocks (VIDB) to the respective communicating remote station (2) by means of a management program (ADM) depending on the demand and keeps a record thereof in a statistical and/or accounting memory area (AS).
摘要:
A method for compressing and decompressing video image data, 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 modifications 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.