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: In the segmentation of an image into spatial regions, an image region is identified by forming difference-image pixel values from the chosen image and at least one other image in the image sequence and accumulating those difference-image pixel values horizontally and vertically. Co-located horizontal and vertical accumulations are combined and utilized in identifying the region. Difference-image pixel values can also be accumulated along other lines which pass through a point of interest.

Abstract: An image region is identified by forming difference-image pixel values from the chosen image and at least one other image in the image sequence and accumulating those difference-image pixel values horizontally and vertically. Co-located horizontal and vertical accumulations are combined and utilised in identifying the region.

Abstract: A moving image sequence is automatically reframed for a small display. The framing is adjusted in dependence upon foreground and background segment weights derived for pixels in images in the sequence. Reframed images are formed from only those input pixels which fall within a reframing window within the input image area and the position or size of the reframing window is adjusted so as to maximize a weighted total of the sum of the foreground weights of pixels within the window and the sum of the background weights of pixels outside the window.

Abstract: A moving image sequence is automatically reframed for a small display. The framing is adjusted in dependence upon foreground and background segment weights derived for pixels in images in the sequence. Reframed images are formed from only those input pixels which fall within a reframing window within the input image area and the position or size of the reframing window is adjusted so as to maximise a weighted total of the sum of the foreground weights of pixels within the window and the sum of the background weights of pixels outside the window.