Abstract: A method for determining an impact score for a digital image includes providing the digital image wherein the digital image includes faces; using a processor to determine an image feature for the faces; using the processor to compute an object impact score for the faces, wherein the object impact score is based at least upon one of the determined image features; weighting the object impact score for the faces based on one of the determined image features for a face; using the processor to compute an impact score for the digital image by combining the weighted object impact scores for the faces in the image; and storing the computed impact score in a processor accessible memory.

Abstract: A method for determining an impact score for a digital image includes providing the digital image wherein the digital image includes faces; using a processor to determine an image feature for the faces; using the processor to compute an object impact score for the faces, wherein the object impact score is based at least upon one of the determined image features; weighting the object impact score for the faces based on one of the determined image features for a face; using the processor to compute an impact score for the digital image by combining the weighted object impact scores for the faces in the image; and storing the computed impact score in a processor accessible memory.

Abstract: A method for determining an impact score for a digital image includes providing the digital image wherein the digital image includes faces; using a processor to determine an image feature for the faces; using the processor to compute an object impact score for the faces, wherein the object impact score is based at least upon one of the determined image features; weighting the object impact score for the faces based on one of the determined image features for a face; using the processor to compute an impact score for the digital image by combining the weighted object impact scores for the faces in the image; and storing the computed impact score in a processor accessible memory.

Abstract: A method for determining an impact score for a digital image includes providing the digital image wherein the digital image includes faces; using a processor to determine an image feature for the faces; using the processor to compute an object impact score for the faces, wherein the object impact score is based at least upon one of the determined image features; weighting the object impact score for the faces based on one of the determined image features for a face; using the processor to compute an impact score for the digital image by combining the weighted object impact scores for the faces in the image; and storing the computed impact score in a processor accessible memory.

Abstract: A method for determining an impact score for a digital image includes providing the digital image wherein the digital image includes faces; using a processor to determine an image feature for the faces; using the processor to compute an object impact score for the faces, wherein the object impact score is based at least upon one of the determined image features; weighting the object impact score for the faces based on one of the determined image features for a face; using the processor to compute an impact score for the digital image by combining the weighted object impact scores for the faces in the image; and storing the computed impact score in a processor accessible memory.

Abstract: A interactive digital advertising system including a soft-copy display including at least an information display region and a command control region, a digital image capture system positioned to capture a time sequence of images of users located in a field-of-view of the soft-copy display, and a storage memory storing a library of advertisements. A time sequence of images is analyzed to detect a plurality of users, and at least one of the users is designated to be a controlling user. The captured images are displayed in the command control region, wherein the detected users are demarked using graphical elements. The captured time sequence of images is analyzed to determine one or more demographic attributes relating to the designated controlling user, and a particular advertisement from the library of advertisements is selected and displayed in the information display region responsive to the determined demographic information.

Abstract: A computing system for automatically identifying individual regions in a digital image that include a human face, forming combined padded regions and automatically evaluating each of the regions including calculating a fitness score for each of the combined padded regions and ignoring at least one of the combined padded regions whose fitness score is below a known threshold.

Abstract: A computer implemented method for modifying a digital image comprises padding two or more face regions in the image and digitally defining at least one combined padded region that includes the two or more face regions. At least one border of the combined padded region is collinear with a border of one of the individual regions. Each of the borders of the at least one combined padded region is selected so as to be collinear with at least one border of one of the individual padded regions.

Abstract: A computer implemented method for modifying a digital image comprising identifying two or more individual regions in the digital image that each include a human face, and digitally defining at least one combined region that includes the two or more individual regions wherein at least one border of the at least one combined region is collinear with a border of one of the individual regions.

Abstract: A method for determining an impact score for a digital image includes providing the digital image wherein the digital image includes faces; using a processor to determine an image feature for the faces; using the processor to compute an object impact score for the faces, wherein the object impact score is based at least upon one of the determined image features; weighting the object impact score for the faces based on one of the determined image features for a face; using the processor to compute an impact score for the digital image by combining the weighted object impact scores for the faces in the image; and storing the computed impact score in a processor accessible memory.

Abstract: A computing system comprising a processor for identifying two or more individual regions in a digital image that each include a human face, for padding each of the two or more individual regions, and for digitally defining at least one combined padded region that includes the two or more individual padded regions, wherein at least one border of the at least one combined padded region is collinear with a border of one of the individual padded regions.

Abstract: A computer implemented method for identifying one or more individual regions in a digital image that each include a human face, padding each of the one or more individual regions to form individual padded regions, and digitally defining at least one combined padded region each comprising one or more of the individual padded regions that overlap by a preselected amount.

Abstract: A method for controlling a multi-user interactive display system including a soft-copy display including at least an information display region and a command control region, and a digital image capture system positioned to capture a time sequence of images of users located in a field-of-view of the soft-copy display. A time sequence of images is analyzed to detect a plurality of users, and at least one of the users is designated to be a controlling user. The captured images are displayed in the command control region, wherein the detected users are demarked using graphical elements. The captured time sequence of images is analyzed to detect a gesture made by the controlling user and content displayed in the information display region is updated accordingly.

Abstract: A multi-user interactive display system including a soft-copy display including at least an information display region and a command control region, and a digital image capture system positioned to capture a time sequence of images of users located in a field-of-view of the soft-copy display. A time sequence of images is analyzed to detect a plurality of users, and at least one of the users is designated to be a controlling user. The captured images are displayed in the command control region, wherein the detected users are demarked using graphical elements. The captured time sequence of images is analyzed to detect a gesture made by the controlling user and content displayed in the information display region is updated accordingly.

Abstract: A method for resizing an input digital image to provide a high-resolution output digital image having a larger number of image pixels. The input image pixels in the input digital image are analyzed and assigned to different pixel classifications. A plurality of pixel generation processes are provided, each pixel generation process being associated with a different pixel classification and being adapted to operate on a neighborhood of input image pixels around a particular input image pixel to provide a plurality of output image pixels. Each input image pixel is processed using a pixel generation process that is selected in accordance with the corresponding pixel classification to produce the high-resolution output digital image.

Abstract: A interactive digital advertising system including a soft-copy display including at least an information display region and a command control region, a digital image capture system positioned to capture a time sequence of images of users located in a field-of-view of the soft-copy display, and a storage memory storing a library of advertisements. A time sequence of images is analyzed to detect a plurality of users, and at least one of the users is designated to be a controlling user. The captured images are displayed in the command control region, wherein the detected users are demarked using graphical elements. The captured time sequence of images is analyzed to determine one or more demographic attributes relating to the designated controlling user, and a particular advertisement from the library of advertisements is selected and displayed in the information display region responsive to the determined demographic information.

Abstract: A method for controlling a multi-user interactive display system including a soft-copy display including at least an information display region and a command control region, and a digital image capture system positioned to capture a time sequence of images of users located in a field-of-view of the soft-copy display. A time sequence of images is analyzed to detect a plurality of users, and at least one of the users is designated to be a controlling user. The captured images are displayed in the command control region, wherein the detected users are demarked using graphical elements. The captured time sequence of images is analyzed to detect a gesture made by the controlling user and content displayed in the information display region is updated accordingly.

Abstract: A multi-user interactive display system including a soft-copy display including at least an information display region and a command control region, and a digital image capture system positioned to capture a time sequence of images of users located in a field-of-view of the soft-copy display. A time sequence of images is analyzed to detect a plurality of users, and at least one of the users is designated to be a controlling user. The captured images are displayed in the command control region, wherein the detected users are demarked using graphical elements. The captured time sequence of images is analyzed to detect a gesture made by the controlling user and content displayed in the information display region is updated accordingly.

Abstract: A computing system for automatically identifying individual regions in a digital image that include a human face, forming combined padded regions and automatically evaluating each of the regions including calculating a fitness score for each of the combined padded regions and ignoring at least one of the combined padded regions whose fitness score is below a known threshold.

Abstract: A computer implemented method for identifying one or more individual regions in a digital image that each include a human face, padding each of the one or more individual regions to form individual padded regions, and digitally defining at least one combined padded region each comprising one or more of the individual padded regions that overlap by a preselected amount.