Abstract: A system (100) and method for zooming of a video recording are provided. The system is configured to detect, track and select object(s) in a first view (110) of the video recording. The system further is configured to perform at least one of an in-zooming and an out-zooming of the video recording relative the first view of the video recording. The system is configured to stop a performed in-zooming or out-zooming, in case at least one predetermined event occurs during the video recording.

Abstract: A user interface, UI, (100) for zooming of a video recording by a device comprising a screen, the UI being configured to: register a marking by a user on the screen of an object in the video recording on the screen, associate the marking with the object, and cause the device to track the marked object, define the tracked object by a first boundary (270), define a second boundary (280), wherein the first boundary is provided within the second boundary, define a third boundary (290) and define a second view of the video recording corresponding to a view of the video recording defined by the third boundary, and change the third boundary such that the third boundary coincides with the second boundary, whereby the second view of the video recording constitutes a zooming of the video recording.

Abstract: A system, method and computer program for processing at least one video sequence are provided, e.g., for transforming a video sequence to a different format, wherein the at least one video sequence includes a plurality of time-successive image frames. The system is configured to provide a predetermined set of at least one feature, and associate a weighted value to each feature. The system is further configured to provide a predetermined 10 set of at least one imaging process, and to provide a processed video sequence in which the one or more imaging processes have been applied to the video sequence as a function of features detected in the video sequence.

Abstract: A system, method and computer program for processing at least one video sequence are provided, e.g., for transforming a video sequence to a different format, wherein the at least one video sequence includes a plurality of time-successive image frames. The system is configured to provide a predetermined set of at least one feature, and associate a weighted value to each feature. The system is further configured to provide a predetermined 10 set of at least one imaging process, and to provide a processed video sequence in which the one or more imaging processes have been applied to the video sequence as a function of features detected in the video sequence.

Abstract: The method according to the invention gene rates an aerial image mosaic viewing a larger area than a single image from a camera can provide using a combination of computer vision and photogrammetry. The aerial image mosaic is based on a set of images acquired from a camera. Selective matching and cross matching of consecutive and non-consecutive images, respectively, are performed and three dimensional motion and structure parameters are calculated and implemented on the model to check if the model is stable. Thereafter the parameters are globally optimised and based on these optimised parameters the serial image mosaic is generated. The set of images may be limited by removing old image data as new images are acquired. The method makes it is possible to establish images in near real time using a system of low complexity and small size, and using only image information.

Abstract: The present invention provides a method and a system for video stabilization in real time. The method comprises the steps of: estimating an optical flow from an previous image, Ii, to a current image, Ii+1; determining an Euclidean transformation, Fi, from the previous image, Ii to the current image, Ii+1, wherein the Euclidean transformation, Fi, comprises a product of rotation, Ri, and scaling, si, and translation, Ti; and transforming the current image, Ii+1, by applying the inverse of the Euclidean transformation, Fi, to the current image, Ii+1, in order to obtain stabilization. The transformation of the current image, Ii+1, is restricted by using Euclidean matrices Ai and Bi, wherein: Ai is used to store absolute frame transformation relative world frame coordinates, Ao is the identity matrix and Ai+1 is equal to AiFi?1 for i?0 and Bi is used to store visualization window coordinate transformation.

Abstract: The method according to the invention gene rates an aerial image mosaic viewing a larger area than a single image from a camera can provide using a combination of computer vision and photogrammetry. The aerial image mosaic is based on a set of images acquired from a camera. Selective matching and cross matching of consecutive and non-consecutive images, respectively, are performed and three dimensional motion and structure parameters are calculated and implemented on the model to check if the model is stable. Thereafter the parameters are globally optimised and based on these optimised parameters the serial image mosaic is generated. The set of images may be limited by removing old image data as new images are acquired. The method makes it is possible to establish images in near real time using a system of low complexity and small size, and using only image information.