Abstract: A method for embedding an advertisement in a video and a computer device, which is configured to: determine a target image, where the target image is an image that is in M frames of images of a target video and that includes a first print advertisement, and M is a positive integer; determine a target area, where the target area is an area in which the first print advertisement is located in the target image; insert a to-be-embedded second print advertisement into the target area to replace the first print advertisement; and convert a style of the target image in which the second print advertisement is embedded, where a style of the second print advertisement in the target image after style conversion is consistent with a style of an image pixel outside the area in which the second print advertisement is located in the target image.

Abstract: The present invention disclose a method for embedding an advertisement in a video and a computer device. The computer device determines a target image, where the target image is an image that is in M frames of images of a target video and that includes a first print advertisement, and M is a positive integer; determines a target area, where the target area is an area in which the first print advertisement is located in the target image; inserts a to-be-embedded second print advertisement into the target area to replace the first print advertisement; and converts a style of the target image in which the second print advertisement is embedded, where a style of the second print advertisement in the target image after style conversion is consistent with a style of an image pixel outside the area in which the second print advertisement is located in the target image.

Abstract: The invention provides a method and system for the automated post production of a single video file, the method comprising the steps of gathering video data from a plurality of camera sources; gathering audio data from a plurality of microphone sources; using an automated tracking offline algorithm to track a sound emitting from a moving target object in a 3D space, to provide localization data of said target object to identify an optimum camera source to provide video data of said target object; and composing a composite video sequence of said moving target from a plurality of identified optimum camera sources in a single video file. The algorithm relies on both video data from multiple camera views and audio data from multiple microphone arrays to infer the 3D position of the active speaker over the duration of the captured presentation.

Abstract: Herein is described a method of estimating dominant motion between a current frame n and another frame m of an image sequence having a plurality of frames, the method comprising generating integral projections of the images and using gradients of those projections and using differences between the projections. The input may be any sequence of image frames from an image source, such as a video camera, an IR or X-ray imagery, radar, or from a storage medium such as computer disk memory, video tape or a computer graphics generator.

Abstract: Herein is described a method of estimating dominant motion between a current frame n and another frame m of an image sequence having a plurality of frames, the method comprising generating integral projections of the images and using gradients of those projections and using differences between the projections. The input may be any sequence of image frames from an image source, such as a video camera, an IR or X-ray imagery, radar, or from a storage medium such as computer disk memory, video tape or a computer graphics generator.

Abstract: A method and apparatus for transforming a first color distribution based on a second color distribution. The method includes the steps of determining, for each of the first and second color distributions, a one-dimensional histogram along a direction in a color space; matching the one-dimensional histogram determined for the first color distribution and the one-dimensional histogram determined for the second color distribution so as to generate a transform mapping; transforming the first color distribution based on the generated transform mapping; and repeating the determining, matching, and transforming steps for other directions in the color space until the generated transform mapping converges.

Abstract: Herein is described a method of estimating dominant motion between a current frame n and another frame m of an image sequence having a plurality of frames, the method comprising generating integral projections of the images and using gradients of those projections and using differences between the projections. The input may be any sequence of image frames from an image source, such as a video camera, an IR or X-ray imagery, radar, or from a storage medium such as computer disk memory, video tape or a computer graphics generator.

Abstract: A method and apparatus for transforming a first color distribution based on a second color distribution. The method includes the steps of determining, for each of the first and second color distributions, a one-dimensional histogram along a direction in a color space; matching the one-dimensional histogram determined for the first color distribution and the one-dimensional histogram determined for the second color distribution so as to generate a transform mapping; transforming the first color distribution based on the generated transform mapping; and repeating the determining, matching, and transforming steps for other directions in the color space until the generated transform mapping converges.