Abstract: A method for image comparison includes reading from a memory in a computerized image processor a source image and a target image. The source and target images are segmented, using the image processor, into respective pluralities of source and target arrays, respectively including source and target array elements, each array element including a matrix of one or more pixels from a respective image, each of the source arrays having a respective position in the source image, and each of the target arrays corresponding respectively to one of the source arrays based on the respective position. An asymmetric warping process is applied between each of the source arrays and each of the respectively corresponding target arrays so as to compute respective array similarity scores. The respective array similarity scores are combined so as to compute an image similarity score of the target image with respect to the source image.

Abstract: A method for image processing includes receiving in a computerized image processor a source image having a source size and a definition of a target size that is different from the source size, and defining a plurality of different sequences of two or more different image retargeting operations that when applied to the source image, generates respective target images of the target size. The different sequences are automatically tested, using the image processor, by measuring respective similarities of the respective target images to the source image. One of the sequences is selected responsively to the similarities, and the selected one of the sequences is applied to the source image, using the image processor, in order to generate a target image.

Abstract: Described herein are methods, systems, apparatuses and products for utilizing motion fields to predict evolution in dynamic scenes. One aspect provides for accessing active object position data including positioning information of a plurality of individual active objects; extracting a plurality of individual active object motions from the active object position data; constructing a motion field using the plurality of individual active object motions; and using the motion field to predict one or more points of convergence at one or more spatial locations that active objects are proceeding towards at a future point in time. Other embodiments are disclosed.

Abstract: A method for image processing includes receiving in a computerized image processor a source image having a source size and a definition of a target size that is different from the source size, and defining a plurality of different sequences of two or more different image retargeting operations that when applied to the source image, generates respective target images of the target size. The different sequences are automatically tested, using the image processor, by measuring respective similarities of the respective target images to the source image. One of the sequences is selected responsively to the similarities, and the selected one of the sequences is applied to the source image, using the image processor, in order to generate a target image.

Abstract: A method for image comparison includes reading from a memory in a computerized image processor a source image and a target image. The source and target images are segmented, using the image processor, into respective pluralities of source and target arrays, respectively including source and target array elements, each array element including a matrix of one or more pixels from a respective image, each of the source arrays having a respective position in the source image, and each of the target arrays corresponding respectively to one of the source arrays based on the respective position. An asymmetric warping process is applied between each of the source arrays and each of the respectively corresponding target arrays so as to compute respective array similarity scores. The respective array similarity scores are combined so as to compute an image similarity score of the target image with respect to the source image.

Abstract: A method for content-aware image retargeting generates an energy image from a source image according to an energy function. From the energy image, one or more seams are determined according to a minimizing function such that each seam has a minimal energy. Each seam is applied to the source image to obtain a target image that preserves content and a rectangular shape of the source image.

Abstract: A method for content-aware image retargeting generates an energy image from a source image according to an energy function. From the energy image, one or more seams are determined according to a minimizing function such that each seam has a minimal energy. Each seam is applied to the source image to obtain a target image that preserves content and a rectangular shape of the source image.

Abstract: A method for content-aware image retargeting generates an energy image from a source image according to an energy function. From the energy image, one or more seams are determined according to a minimizing function such that each seam has a minimal energy. Each seam is applied to the source image to obtain a target image that preserves content and a rectangular shape of the source image.

Abstract: A method for content-aware image retargeting generates an energy image from a source image according to an energy function. From the energy image, one or more seams are determined according to a minimizing function such that each seam has a minimal energy. Each seam is applied to the source image to obtain a target image that preserves content and a rectangular shape of the source image.