Abstract: There is provided a method for an out of home advertising campaign, the method comprising: supplying creative for the campaign; determining criteria for the campaign, the criteria comprising targeting a demographic; selecting one or more boards for display of the creative, the selecting based on static data, projected data, and optionally real-time data; and displaying the creative on the one or more boards. There is also provided an out of home digital ad server comprising: at least one digital board; a digital feed provider to provide each board with creative to be displayed; a computer processor for analysing data to optimize board selection based on a demographic; and a communication network to direct creative from the ad serving processor to the at least one digital board based on the selection of creative by the computer processor.

Abstract: There is provided a method for an out of home advertising campaign, the method comprising: supplying creative for the campaign; determining criteria for the campaign, the criteria comprising targeting a demographic; selecting one or more boards for display of the creative, the selecting based on static data, projected data, and optionally real-time data; and displaying the creative on the one or more boards. There is also provided an out of home digital ad server comprising: at least one digital board; a digital feed provider to provide each board with creative to be displayed; a computer processor for analysing data to optimize board selection based on a demographic; and a communication network to direct creative from the ad serving processor to the at least one digital board based on the selection of creative by the computer processor.

Abstract: Methods, apparatuses and systems for calculating an amount to be billed in respect of running an out-of-home advertisement during a period of time.

Abstract: There is provided a method for an out of home advertising campaign, the method comprising: supplying creative for the campaign; determining criteria for the campaign, the criteria comprising targeting a demographic; selecting one or more boards for display of the creative, the selecting based on static data, projected data, and optionally real-time data; and displaying the creative on the one or more boards. There is also provided an out of home digital ad server comprising: at least one digital board; a digital feed provider to provide each board with creative to be displayed; a computer processor for analysing data to optimize board selection based on a demographic; and a communication network to direct creative from the ad serving processor to the at least one digital board based on the selection of creative by the computer processor.

Abstract: Methods, apparatuses and systems for calculating an amount to be billed in respect of running an out-of-home advertisement during a period of time

Abstract: The automated video enhancement system and method includes a system and method for automatically enhancing video. The automated video enhancement method uses frame-to-frame motion estimation as the basis of the video enhancement. Motion estimation includes the computation of global motion (such as camera motion) and the computation of local motion (such as pixel motion). The automated video enhancement method includes generating global alignment transforms, generating optic flow vectors, and using these global alignment transforms and optic flow vectors to enhance the video. The invention also includes video processing and enhancement techniques that use the frame-to-frame motion estimation. These techniques include a deinterlace process, a denoise process, and a warp stabilization process that performs both damped and locked stabilization.

Abstract: An automatic video enhancement system and method for automatically enhancing video. The automated video enhancement method uses frame-to-frame motion estimation as the basis of the video enhancement. Motion estimation includes the computation of global motion (such as camera motion) and the computation of local motion (such as pixel motion). The automated video enhancement method includes generating global alignment transforms, generating optic flow vectors, and using these global alignment transforms and optic flow vectors to enhance the video. The invention also includes video processing and enhancement techniques that use the frame-to-frame motion estimation. These techniques include a deinterlace process, a denoise process, and a warp stabilization process that performs both damped and locked stabilization.

Abstract: An automatic video enhancement system and method for automatically enhancing video. The automated video enhancement method uses frame-to-frame motion estimation as the basis of the video enhancement. Motion estimation includes the computation of global motion (such as camera motion) and the computation of local motion (such as pixel motion). The automated video enhancement method includes generating global alignment transforms, generating optic flow vectors, and using these global alignment transforms and optic flow vectors to enhance the video. The invention also includes video processing and enhancement techniques that use the frame-to-frame motion estimation. These techniques include a deinterlace process, a denoise process, and a warp stabilization process that performs both damped and locked stabilization.

Abstract: A system and a method for automatically authoring video compositions from longer units of digitized video (or a source video) by using short segments of video (or video “cliplets”). The video composition authoring process provides an aesthetically-pleasing layout of data elements to create a video composition. The data elements include multimedia elements, parameter information and description information. Any data elements that are missing but required are automatically selected by the system. The user may then review preliminary video composition results and refine the results if desired. The video composition authoring system includes an element selection and layout module for selecting the data elements in the video composition, and an iterative refinement module that allows the user to change and refine the preliminary results.

Abstract: The present invention includes a system and a method for automatically authoring video compositions from longer units of digitized video (or a source video) by using short segments of video (or video “cliplets”). The video composition authoring process provides an aesthetically-pleasing layout of data elements to create a video composition. The data elements include multimedia elements, parameter information and description information. Any data elements that are missing but required are automatically selected by the system. The user may then review preliminary video composition results and refine the results if desired. The video composition authoring system includes an element selection and layout module for selecting the data elements in the video composition, and an iterative refinement module that allows the user to change and refine the preliminary results.

Abstract: An automatic video enhancement system and method for automatically enhancing video. The automated video enhancement method uses frame-to-frame motion estimation as the basis of the video enhancement. Motion estimation includes the computation of global motion (such as camera motion) and the computation of local motion (such as pixel motion). The automated video enhancement method includes generating global alignment transforms, generating optic flow vectors, and using these global alignment transforms and optic flow vectors to enhance the video. The invention also includes video processing and enhancement techniques that use the frame-to-frame motion estimation. These techniques include a deinterlace process, a denoise process, and a warp stabilization process that performs both damped and locked stabilization.

Abstract: The automated video enhancement system and method includes a system and method for automatically enhancing video. The automated video enhancement method uses frame-to-frame motion estimation as the basis of the video enhancement. Motion estimation includes the computation of global motion (such as camera motion) and the computation of local motion (such as pixel motion). The automated video enhancement method includes generating global alignment transforms, generating optic flow vectors, and using these global alignment transforms and optic flow vectors to enhance the video. The invention also includes video processing and enhancement techniques that use the frame-to-frame motion estimation. These techniques include a deinterlace process, a denoise process, and a warp stabilization process that performs both damped and locked stabilization.

Abstract: The present invention includes an automatic video enhancement system and method for automatically enhancing video. The automated video enhancement method uses frame-to-frame motion estimation as the basis of the video enhancement. Motion estimation includes the computation of global motion (such as camera motion) and the computation of local motion (such as pixel motion). The automated video enhancement method includes generating global alignment transforms, generating optic flow vectors, and using these global alignment transforms and optic flow vectors to enhance the video. The invention also includes video processing and enhancement techniques that use the frame-to-frame motion estimation. These techniques include a deinterlace process, a denoise process, and a warp stabilization process that performs both damped and locked stabilization.

Abstract: An automatic video enhancement system and method for automatically enhancing video. The automated video enhancement method uses frame-to-frame motion estimation as the basis of the video enhancement. Motion estimation includes the computation of global motion (such as camera motion) and the computation of local motion (such as pixel motion). The automated video enhancement method includes generating global alignment transforms, generating optic flow vectors, and using these global alignment transforms and optic flow vectors to enhance the video. The invention also includes video processing and enhancement techniques that use the frame-to-frame motion estimation. These techniques include a deinterlace process, a denoise process, and a warp stabilization process that performs both damped and locked stabilization.

Abstract: An automatic video enhancement system and method for automatically enhancing video. The automated video enhancement method uses frame-to-frame motion estimation as the basis of the video enhancement. Motion estimation includes the computation of global motion (such as camera motion) and the computation of local motion (such as pixel motion). The automated video enhancement method includes generating global alignment transforms, generating optic flow vectors, and using these global alignment transforms and optic flow vectors to enhance the video. The invention also includes video processing and enhancement techniques that use the frame-to-frame motion estimation. These techniques include a deinterlace process, a denoise process, and a warp stabilization process that performs both damped and locked stabilization.

Abstract: An automatic video enhancement system and method for automatically enhancing video. The automated video enhancement method uses frame-to-frame motion estimation as the basis of the video enhancement. Motion estimation includes the computation of global motion (such as camera motion) and the computation of local motion (such as pixel motion). The automated video enhancement method includes generating global alignment transforms, generating optic flow vectors, and using these global alignment transforms and optic flow vectors to enhance the video. The invention also includes video processing and enhancement techniques that use the frame-to-frame motion estimation. These techniques include a deinterlace process, a denoise process, and a warp stabilization process that performs both damped and locked stabilization.

Abstract: The present invention includes an automatic video enhancement system and method for automatically enhancing video. The automated video enhancement method uses frame-to-frame motion estimation as the basis of the video enhancement. Motion estimation includes the computation of global motion (such as camera motion) and the computation of local motion (such as pixel motion). The automated video enhancement method includes generating global alignment transforms, generating optic flow vectors, and using these global alignment transforms and optic flow vectors to enhance the video. The invention also includes video processing and enhancement techniques that use the frame-to-frame motion estimation. These techniques include a deinterlace process, a denoise process, and a warp stabilization process that performs both damped and locked stabilization.

Abstract: The present invention includes a system and a method for automatically authoring video compositions from longer units of digitized video (or a source video) by using short segments of video (or video “cliplets”). The video composition authoring process provides an aesthetically-pleasing layout of data elements to create a video composition. The data elements include multimedia elements, parameter information and description information. Any data elements that are missing but required are automatically selected by the system. The user may then review preliminary video composition results and refine the results if desired. The video composition authoring system includes an element selection and layout module for selecting the data elements in the video composition, and an iterative refinement module that allows the user to change and refine the preliminary results.

Abstract: The present invention includes a user interface for displaying and interacting with a video composition generated from a video composition authoring system. The video compositions may include short segments of video (or video “cliplets”). The video composition user interface for displaying the video compositions includes displaying a background area and a plurality of video windows over the background area. Each of the video windows contains multimedia elements such as video, digital photographs, icons, video clipets, and any other type of graphical element. The selection of the contents to fill or populate the video windows is performed by a video composition authoring system. The video composition user interface provides functionality such as text annotation, e-mail feature, title area, cast and credits list generation, and a cliplet drag and drop feature that allows a user to enhance the video composition and have a more pleasant experience viewing the video composition.

Abstract: A method and system for color correction in composite image. Spill in a foreground image can be keyed directly to produce a spill matte that can be displayed to a user. The user can apply suitable image processing to the spill matte to modify the eventual color correction to the composite image. The resulting spill matte is used as a template for the application of color correction in the composite image.