Abstract: The invention teaches correlation analysis of the stochastic relationship between video images for use in motion estimation. On the basis of the method of analysis of correlation values as temporal series, a method was created for the analysis of the dynamics of the objects in the scenes, the isolation of quasi-static fragments of the images and the use of the obtained information for the construction of optimal procedures for making decisions in the control of motion estimation and the isolation of different types of motion of the objects. The dynamics of motion of objects or blocks in a video scene can be predicted, and the results of the predicting permit the isolation in motion of each element of the scene—the following components: camera motion, object motion, object distortion thereby allowing the possibility of isolating groups of blocks for which a given coding strategy has maximum effectiveness.

Abstract: The method for video compression to a high degree on the basis of the calculation of motion estimation is based on obtaining complete information and on the structure and dynamic of the inter-frame interaction and its use in video compression procedures. Video films are presented as a series of scenarios, which are examined as a series of scenes, dynamically replacing each other. Scene analysis is presented as a labeled graph of relationships between subjects. Coding of scenes permits consideration of their structure and the structure of subjects by using an adaptive metric. An increase in the degree of compression and improvement in the quality of the images obtained by removal of unwanted artifacts during compression are permitted. The disclosed method checks for conflicting situations during motion estimation, and its reverse-recursive structure provides for their removal. The stochastic nature of the criteria for the proximity of the object is also considered.

Abstract: The invention teaches correlation analysis of the stochastic relationship between video images for use in motion estimation. On the basis of the method of analysis of correlation values as temporal series, a method was created for the analysis of the dynamics of the objects in the scenes, the isolation of quasi-static fragments of the images and the use of the obtained information for the construction of optimal procedures for making decisions in the control of motion estimation and the isolation of different types of motion of the objects. The dynamics of motion of objects or blocks in a video scene can be predicted, and the results of the predicting permit the isolation in motion of each element of the scene—the following components: camera motion, object motion, object distortion thereby allowing the possibility of isolating groups of blocks for which a given coding strategy has maximum effectiveness.