Abstract: A method for detecting differences between two digital images includes the steps of: transforming the images by resizing the images in order to get identical image sizes, by aligning pixels of the images and by normalizing colors of the images; determining plural binary masks from the pixels of the transformed images, each binary mask being composed of one element per couple of pixels of the transformed images having same coordinates; determining plural energy functions, each energy function being the sum of a first term representative of transformed images and of one binary mask and of a second term which is only dependent on said one binary mask; minimizing the energy function over other plural energy functions; and selecting the binary mask corresponding to the minimized energy function.

Abstract: The present invention concerns a method for deriving from an arbitrary local image descriptor a descriptor that is invariant under arbitrary mirror symmetries. For a point of interest, pi, for which the descriptor is to be determined a direction, ODi is determined. The local patch from which the descriptor is to be extracted is mirrored along ODi if a “smaller than” relation does not hold a feature extracted from the left half of the local image patch, in regard of ODi, compared to the right half of the local image patch. Thereby, the local patch is brought into a normalized intrinsic orientation. Thereafter, the descriptor is extracted. Examples include a mirror symmetry invariant version of Lowe's SIFT.

Abstract: A method for detecting differences between two digital images includes the steps of: transforming the images by resizing the images in order to get identical image sizes, by aligning pixels of the images and by normalizing colours of the images; determining plural binary masks from the pixels of the transformed images, each binary mask being composed of one element per couple of pixels of the transformed images having same coordinates; determining plural energy functions, each energy function being the sum of a first term representative of transformed images and of one binary mask and of a second term which is only dependent on said one binary mask; minimizing the energy function over other plural energy functions; and selecting the binary mask corresponding to the minimized energy function.

Abstract: The present invention concerns a method for deriving from an arbitrary local image descriptor a descriptor that is invariant under arbitrary mirror symmetries. For a point of interest, pi, for which the descriptor is to be determined a direction, ODi is determined. The local patch from which the descriptor is to be extracted is mirrored along ODi if a “smaller than” relation does not hold a feature extracted from the left half of the local image patch, in regard of ODi, compared to the right half of the local image patch. Thereby, the local patch is brought into a normalized intrinsic orientation. Thereafter, the descriptor is extracted. Examples include a mirror symmetry invariant version of Lowe's SIFT.

Abstract: A method for identifying videos within a corpus of reference videos that match a query video is presented. The method includes receiving an input search criteria including search and matching parameters. The method includes indexing each reference video frame by frame and determining a visual signature based on visual signatures of all frames or a subset of frames. The method also includes determining a visual signature of the query video and comparing the visual signatures of each reference video to the query video and identifying matches. In one embodiment, indexing includes determining subsets of frames within each reference video including anchor, heart beat and key frames. A primary visual signature is based on the visual signatures of all frames within the reference video. A secondary visual signature is based on the visual signatures of at least one of the subsets within the reference video.