Method for recognising video contents or images travelling over networks which is implemented in real-time according to two subsequent steps: - a first step called conversion step, during which unique signatures of new video contents or images to subsequently be recognised are created, said signatures being stored in a specific format in databases and links being created relative to actions, linked to each given video content or images, to trigger for the future recognition of a video content or images, then - a second step called real-time analysis step, during which a video source is analysed in real-time by a first separate processing unit, time signatures being created in real-time, signatures, recovered by a second separate processing unit, which are thus compared with the present signatures in the database and when there is signature recognition, the actions linked to the video content analysed and recognised are thus triggered by a third separate processing unit, the time for triggering actions after detection and recognition of a video content, or of one or more images, sought being less than 10 milliseconds, while, during the first step called conversion step, the production of one unique signature per analysed image is generated as follows: - transformation of the analysed image into a given dimension matrix being the same size as the base image, - detection and removal of black strips when they exist in said image, the matrix changing in this case, dimension, - modification of the matrix by removing top and bottom strips from said matrix, forming all of the width thereof and a percentage of the height thereof, - resizing the matrix into a matrix of 20x20 pixels, - conversion of the matrix into grey levels, - application of Laplacian type filter, - definition of a threshold making it possible to differentiate the noticeable pixels from the non-noticeable pixels over a variation of black and white, then paths of all of the pixels of the matrix and classifying pixels into noticeable pixels, i.e. greater than the threshold, and into non-noticeable pixels, - creation of a chain of characters having values varying from 0 to 1, 0 for non-noticeable pixels and 1 for noticeable pixels, the first character representing the value of the top pixel and pixel to the left of the matrix and the last character representing the value of the bottom pixel and pixel to the right of the matrix, - indexing and storing on an 8-bit format in the database of the chain of characters representing a unique signature of the analysed image and comprising 400 characters varying from 0 to 1, that is 50 values forming 8 bits, the weight of the signature obtained corresponding to the number of characters of said signature equalling 1 also being memorised and stored in the database. - a first step called conversion step, during which unique signatures of new video contents or images to subsequently be recognised are created, said signatures being stored in a specific format in databases and links being created relative to actions, linked to each given video content or images, to trigger for the future recognition of a video content or images, then - a second step called real-time analysis step, during which a video source is analysed in real-time by a first separate processing unit, time signatures being created in real-time, signatures, recovered by a second separate processing unit, which are thus compared with the present signatures in the database and when there is signature recognition, the actions linked to the video content analysed and recognised are thus triggered by a third separate processing unit, the time for triggering actions after detection and recognition of a video content, or of one or more images, sought being less than 10 milliseconds, - transformation of the analysed image into a given dimension matrix being the same size as the base image, - detection and removal of black strips when they exist in said image, the matrix changing in this case, dimension, - modification of the matrix by removing top and bottom strips from said matrix, forming all of the width thereof and a percentage of the height thereof, - resizing the matrix into a matrix of 20x20 pixels, - conversion of the matrix into grey levels, - application of Laplacian type filter, - definition of a threshold making it possible to differentiate the noticeable pixels from the non-noticeable pixels over a variation of black and white, then paths of all of the pixels of the matrix and classifying pixels into noticeable pixels, i.e. greater than the threshold, and into non-noticeable pixels, - creation of a chain of characters having values varying from 0 to 1, 0 for non-noticeable pixels and 1 for noticeable pixels, the first character representing the value of the top pixel and pixel to the left of the matrix and the last character representing the value of the bottom pixel and pixel to the right of the matrix, - indexing and storing on an 8-bit format in the database of the chain of characters representing a unique signature of the analysed image and comprising 400 characters varying from 0 to 1, that is 50 values forming 8 bits, the weight of the signature obtained corresponding to the number of characters of said signature equalling 1 also being memorised and stored in the database.