Abstract: The content of a media program is recognized by analyzing its audio content to extract therefrom prescribed features, which are compared to a database of features associated with identified content. The identity of the content within the database that has features that most closely match the features of the media program being played is supplied as the identity of the program being played. The features are extracted from a frequency domain version of the media program by a) filtering the coefficients to reduce their number, e.g., using triangular filters; b) grouping a number of consecutive outputs of triangular filters into segments; and c) selecting those segments that meet prescribed criteria, such as those segments that have the largest minimum segment energy with prescribed constraints that prevent the segments from being too close to each other. The triangular filters may be log-spaced and their output may be normalized.

Abstract: The content of a media program is recognized by analyzing its audio content to extract therefrom prescribed features, which are compared to a database of features associated with identified content. The identity of the content within the database that has features that most closely match the features of the media program being played is supplied as the identity of the program being played. The features are extracted from a frequency domain version of the media program by a) filtering the coefficients to reduce their number, e.g., using triangular filters; b) grouping a number of consecutive outputs of triangular filters into segments; and c) selecting those segments that meet prescribed criteria, such as those segments that have the largest minimum segment energy with prescribed constraints that prevent the segments from being too close to each other. The triangular filters may be log-spaced and their output may be normalized.

Abstract: The content of a media program is recognized by analyzing its audio content to extract therefrom prescribed features, which are compared to a database of features associated with identified content. The identity of the content within the database that has features that most closely match the features of the media program being played is supplied as the identity of the program being played. The features are extracted from a frequency domain version of the media program by a) filtering the coefficients to reduce their number, e.g., using triangular filters; b) grouping a number of consecutive outputs of triangular filters into segments; and c) selecting those segments that meet prescribed criteria, such as those segments that have the largest minimum segment energy with prescribed constraints that prevent the segments from being too close to each other. The triangular filters may be log-spaced and their output may be normalized.

Abstract: A technique is described for producing field recognition scores that vary according to the position of the errors. In particular, a value-based score for a recognition result is determined from both the individual character recognition scores and an “error value” that is associated with each character position of the recognition result. In general, this value-based score is computed by adding the error value for each character position of the recognition result. As illustration, an OCR system for scanning checks is adapted to produce field recognition scores that reflect economic value. In this approach, an error in the leftmost digit is “worth” much more than an error in the rightmost digit.

Abstract: A method and system for simultaneously recognizing contextually related images is disclosed. The image of two separate fields is captured to form two captured data images such as a word and numerical amount. Each captured image is cut to form a segmentation graph based on the cuts. The shortest path in each segmentation graph is found wherein the additive length corresponds to a score and is associated with each directed arc of the segmentation graph. The segmentation graphs are combined into a joint segmentation graph and the highest scoring mutually consistent interpretations are found.