Abstract: A video process is controlled through a one-dimensional control function to affect the two outcomes of processing time and processing error. Points are generated in error/time space corresponding to multiple combinations of parameter values applied to the process using reference input data. A subset of points is selecting in which each point is such that all other points in the space have either a higher error or a higher time, to define the one-dimensional control function.

Abstract: A Bayer-mask image is decoded by forming a decoded green array; calculating a slope at each pixel of the array, expressed as an angle; calculating an activity at each pixel; converting the slope angle and the activity into a complex number for each pixel, of modulus equal to the activity and argument equal to twice the slope angle; expressing said complex numbers in Cartesian coordinates to form a Cartesian slope signal and filtering the Cartesian slope signal with a linear spatial filter to derive a slope measure. Blue-green and red-green values are calculated and interpolated using a slope-adaptive interpolation filter steered by said slope measure.

Abstract: To generate a warning that a stereoscopic image sequence has been synthesised from a 2D image sequence, a video processor correlates left-eye image data and right-eye image data to identify any sustained temporal offset between the left-eye and right-eye image data. A measure of sustained correlation between a measured spatial distribution of horizontal disparity and a spatial model can also be used to generate the warning.

Abstract: A Bayer-mask image is decoded by forming a decoded green array; calculating a slope at each pixel of the array, expressed as an angle; calculating an activity at each pixel; converting the slope angle and the activity into a complex number for each pixel, of modulus equal to the activity and argument equal to twice the slope angle; expressing said complex numbers in Cartesian coordinates to form a Cartesian slope signal and filtering the Cartesian slope signal with a linear spatial filter to derive a slope measure. Blue-green and red-green values are calculated and interpolated using a slope-adaptive interpolation filter steered by said slope measure.

Abstract: A video process is controlled through a one-dimensional control function to affect the two outcomes of processing time and processing error. Points are generated in error/time space corresponding to multiple combinations of parameter values applied to the process using reference input data. A subset of points is selecting in which each point is such that all other points in the space have either a higher error or a higher time, to define the one-dimensional control function.

Abstract: A Bayer-mask is decoded by forming a decoded green array, calculating red green and blue-green color difference signals, deriving a first full-resolution grid of each colour difference signal using a first interpolation filter; deriving a second full-resolution grid of each colour difference signal using a second interpolation filter taking a larger number of colour difference signal inputs than the first; generating a cross-colour weighting signal; and forming a mixed colour difference signal from the first and second full-resolution grids in accordance with the cross-colour weighting signal.

Abstract: In video motion estimation an initial candidate motion vector is generated for each block and a vector error is determined as for example a DFD. Spatial gradients of pixel values are calculated and used to refine the initial candidate motion vector. The relative contribution of the spatial gradients to the refinement process depends on the vector error.

Abstract: A Bayer-mask image is decoded by forming a decoded green array; calculating a slope at each pixel of the array, expressed as an angle; calculating an activity at each pixel; converting the slope angle and the activity into a complex number for each pixel, of modulus equal to the activity and argument equal to twice the slope angle; expressing said complex numbers in Cartesian coordinates to form a Cartesian slope signal and filtering the Cartesian slope signal with a linear spatial filter to derive a slope measure. Blue-green and red-green values are calculated and interpolated using a slope-adaptive interpolation filter steered by said slope measure.

Abstract: A video process is controlled through a one-dimensional control function to affect the two outcomes of processing time and processing error. Points are generated in error/time space corresponding to multiple combinations of parameter values applied to the process using reference input data. A subset of points is selecting in which each point is such that all other points in the space have either a higher error or a higher time, to define the one-dimensional control function.

Abstract: To generate a warning that a stereoscopic image sequence has been synthesised from a 2D image sequence, a video processor correlates left-eye image data and right-eye image data to identify any sustained temporal offset between the left-eye and right-eye image data. A measure of sustained correlation between a measured spatial distribution of horizontal disparity and a spatial model can also be used to generate the warning.

Abstract: To generate a warning that a stereoscopic image sequence has been synthesised from a 2D image sequence, a video processor correlates left-eye image data and right-eye image data to identify any sustained temporal offset between the left-eye and right-eye image data. A measure of sustained correlation between a measured spatial distribution of horizontal disparity and a spatial model can also be used to generate the warning.

Abstract: A method of audio processing receives a sequence of sample values, each corresponding with a location in video or audio content; forms an initially estimated quantile value; and then modifies the estimated value in dependence upon a count of the results of comparisons between sample values within a fixed-length interval of the sequence of samples values and the estimated value to form an estimated quantile of the sequence of sample values. The estimated quantile is used in the measurement or control of loudness.

Abstract: A video process is controlled through a one-dimensional control function to affect the two outcomes of processing time and processing error. Points are generated in error/time space corresponding to multiple combinations of parameter values applied to the process using reference input data. A subset of points is selecting in which each point is such that all other points in the space have either a higher error or a higher time, to define the one-dimensional control function.

Abstract: A Bayer-mask is decoded by forming a decoded green array, calculating red green and blue-green color difference signals, deriving a first full-resolution grid of each colour difference signal using a first interpolation filter; deriving a second full-resolution grid of each colour difference signal using a second interpolation filter taking a larger number of colour difference signal inputs than the first; generating a cross-colour weighting signal; and forming a mixed colour difference signal from the first and second full-resolution grids in accordance with the cross-colour weighting signal.

Abstract: A Bayer-mask image is decoded by forming a decoded green array; calculating a slope at each pixel of the array, expressed as an angle; calculating an activity at each pixel; converting the slope angle and the activity into a complex number for each pixel, of modulus equal to the activity and argument equal to twice the slope angle; expressing said complex numbers in Cartesian coordinates to form a Cartesian slope signal and filtering the Cartesian slope signal with a linear spatial filter to derive a slope measure. Blue-green and red-green values are calculated and interpolated using a slope-adaptive interpolation filter steered by said slope measure.

Abstract: To control loudness during a junction between different types of broadcast content, such as a junction between program and commercial or promotional content, representative loudness values for content respectively before (P) and after (C) the junction are received from a playout automation system. A time-varying gain control is applied before and after the junction in order to smooth loudness around the junction. The audio gain is smoothly increased prior to the junction to a gain (P+C)/2P times higher than the original gain value. Then, the gain is reduced shortly before the junction to a value (P+C)/2C times lower than the original gain value. After the junction, the gain is returned smoothly to the original value.

Abstract: In video motion estimation an initial candidate motion vector is generated for each block and a vector error is determined as for example a DFD. Spatial gradients of pixel values are calculated and used to refine the initial candidate motion vector. The relative contribution of the spatial gradients to the refinement process depends on the vector error.

Abstract: A router with leaf and spine nodes. Each leaf node is connectable to a spine node, so that a signal from a source leaf node can reach a destination leaf node through a spine node. If no spine node can connect to both the source leaf node and the destination leaf node, the router identifies a first spine node connectable to the source leaf node and a second spine node connectable to the destination leaf node; maps the existing connections between connection elements on the first spine node and maps the existing connections between connection elements on the second spine node; superimposes the existing connections onto a single connection map; identifies a connection tree that comprises the second connection element; and swaps certain connections, if the connection tree does not comprise the first connection element.

Abstract: A method, video apparatus, system and computer program product are disclosed. The method is for re-ordering images in a set of images. The method compress measuring for each image a feature value for each of a plurality of image features and determining over the set of images a correlation measure representing for at least some combinations of the image features the correlation in the respective feature values. The method then includes selecting in accordance with said correlation measure at least one closely correlated combination of image features and ordering the set of images in accordance with those closely correlated combinations of image features.

Abstract: A method of analyzing an array of pixel-to-pixel dissimilarity values to identify a pixel which has a low pixel-to-pixel dissimilarity value and which has neighboring pixels which have a low pixel-to-pixel dissimilarity value; the method comprising filtering the pixel-to-pixel dissimilarity values and varying the spatial extent of the filter aperture in dependence upon a picture spatial activity measure.