Video encoding with adaptive coding procedure based on multiagent model

The paper proposes the use of an adaptive coding algorithm for processing and transmitting video signals. Encoding process of video signals intend to divide the color of each pixel into three components (red, green and blue). The whole video frame could be represented as networked system where each pixel is a independent agent. In this case, agents are understood as a system having any dynamics. Thus, the movement of a pixel is described by a change in the intensity of its RGB components. This approach allows us to consider the process of intensity change as the trajectory of the dynamic system and apply observation and coding methods to it. The proposed approach allows to encode signals in real time without their prior complete analysis. Depending on the coding rate and the nature of the signal, it is possible to save the amount of information transmitted as a result of the algorithm. Observer is used to get estimation of colors signals and multiagent model is used to get to accurate estimation process.