A method for automatically identifying tokens associated with an event in video sequences containing individual takes and extracting information contained thereon, a token being an object having typical appearance and having readable symbols on it, including the steps of: - detecting, based on histograms from image properties for consecutive images, boundaries between individual takes, - pre-selecting candidate regions (60,61,62), which are regions in which tokens are likely to be found, in images of the video sequence following or preceding a detected boundary, - classifying the candidate regions (60,61,62) into token or non-token using classifiers corresponding to one or several token types, - locating tokens in candidate regions by generating a number of candidate bounding boxes with varying positions and wherein the token location is indicated by the candidate bounding box having the highest matching confidence value, - locating information on the token, - interpreting the information on the token, - performing a confidence analysis on the information to ensure that the information was interpreted correctly, - merging information of consecutive images into a single, coherent set of information having linearly increasing time-codes by replacing time-code digits having low interpretation confidence or contradicting time information with interpolated time-code digits, and - detecting changes in the visual appearance of the token, the changes signalling a particular point of an event, by detecting and locating parts of the token subject to change, monitoring the change in visual appearance of the parts subject to change by comparing detected visual features in consecutive images, and outputting data describing the degree of change with regard to a pre-determined starting and/or end point. - detecting, based on histograms from image properties for consecutive images, boundaries between individual takes, - pre-selecting candidate regions (60,61,62), which are regions in which tokens are likely to be found, in images of the video sequence following or preceding a detected boundary, - classifying the candidate regions (60,61,62) into token or non-token using classifiers corresponding to one or several token types, - locating tokens in candidate regions by generating a number of candidate bounding boxes with varying positions and wherein the token location is indicated by the candidate bounding box having the highest matching confidence value, - locating information on the token, - interpreting the information on the token, - performing a confidence analysis on the information to ensure that the information was interpreted correctly, - merging information of consecutive images into a single, coherent set of information having linearly increasing time-codes by replacing time-code digits having low interpretation confidence or contradicting time information with interpolated time-code digits, and - detecting changes in the visual appearance of the token, the changes signalling a particular point of an event, by detecting and locating parts of the token subject to change, monitoring the change in visual appearance of the parts subject to change by comparing detected visual features in consecutive images, and outputting data describing the degree of change with regard to a pre-determined starting and/or end point.