A video reception unit obtains a first video and a second video that are different in an imaging position from each other. An important video determination unit determines a video having a higher degree of importance on the basis of the first video and the second video. A video adjustment report unit transmits a transmission video adjustment report that is used to adjust qualities of the first video and the second video in accordance with a result of determining a degree of importance. A first video adjustment unit adjusts the first video on the basis of the transmission video adjustment report. A second video adjustment unit adjusts the second video on the basis of the transmission video adjustment report.

One general aspect for motion-based video tonal stabilization uses a keyframe and motion estimation techniques to determine the level of spatial correspondence between input images and the keyframe. When the level of spatial correspondence is high, tonal stabilization is performed through regression and power law tonal transformation to minimize the color differences between images caused by automatic camera parameters without a priori knowledge of the camera model. Tonal error accumulation is reduced by using long-term tonal propagation.

Computer processor hardware receives image data specifying element settings for each image of multiple original images in a sequence. The computer processor hardware analyzes the element settings across the multiple original images. The computer processor hardware then utilizes the element settings of the multiple original images in the sequence to produce first encoded image data specifying a set of common image element settings, the set of common image element settings being a baseline to substantially reproduce each of the original images in the sequence.

The method includes for each current pair of first and second successive video images determining movement between the two images. The determining includes a phase of testing homography model hypotheses on the movement by a RANSAC type algorithm operating on a set of points in the first image and first assumed corresponding points in the second image so as to deliver one of the homography model hypothesis that defines the movement. The test phase includes a test of first homography model hypotheses of the movement obtained from a set of second points in the first image and second assumed corresponding points in the second image. At least one second homography model hypothesis is obtained from auxiliary information supplied by an inertial sensor and representative of a movement of the image sensor between the captures of the two successive images of the pair.

Apparatuses, systems, and techniques are presented to reconstruct one or more images. In at least one embodiment, one or more objects in an image are caused to be generated based, at least in part, on applying one or more offsets to a motion of the one or more objects relative to one or more prior images.

Methods and systems are disclosed for compensating for image motion induced by a relative motion between an imaging platform and a scene. During an exposure period, frames of the scene may be captured respectively in multiple spectral bands, where one of the spectral bands has a lower light level than the first spectral band, and contemporaneous frames include a nearly identical induced image motion. Image eigenfunctions are utilized to estimate the induced image motion from the higher SNR spectral band, and compensate in each of the multiple bands.

An information processing device (1) according to the present disclosure includes a prediction unit (occlusion prediction unit 4). The prediction unit (occlusion prediction unit 4) predicts, in a case where a subject (101) in an image captured in time series by an imaging device (100) is hidden behind a foreground, a position of the subject (101) in the image behind the foreground on a basis of an image of the subject (101) in the image before being hidden behind the foreground and motion information of the imaging device (100) detected by a motion detection device (device motion information sensor 111).

There is provided with an image shake correction device that controls an image correction unit and corrects an image shake of a captured image. The image shake correction device calculates a first correction amount to be used for correcting the image shake while shooting moving images and a second correction amount to be used for correcting the image shake while shooting still images based on a shake detection signal. The image shake correction device selects the correction amount to be used for correcting the image shake from either the first correction amount or the second correction amount and executes a control that updates an intermediate calculation value of the calculation unit corresponding to the correction amount that has not been selected from either the first calculation unit or the second calculation unit, with a value of the correction amount that has been selected.

Embodiments of the disclosure provide systems and methods for performing frame rate up-conversion of video data including a sequence of image frames. The method may include determining a set of motion vectors of a target frame relative to a plurality of reference frames. The target frame is to be generated and interpolated into the sequence of image frames. The method may further include performing a motion vector classification on the set of motion vectors to generate a target object map for the target frame. The method may additionally include projecting the target object map onto the plurality of reference frames to generate a plurality of reference object maps based on the set of motion vectors. The method may additionally include detecting an occlusion area in the target frame based on the set of motion vectors, the target object map, and the plurality of reference object maps.

A motion information acquiring apparatus includes: a lighting device that illuminates an object at the same time with first intensity-modulated light, second intensity-modulated light, and constant illumination light, wherein the first and second intensity-modulated light are intensity modulated with reference signals having substantially same wavelength but different phase; an image generator that generates first to third images corresponding to the first intensity-modulated light, the second intensity-modulated light, and the constant illumination light; and a motion information acquirer that acquires motion information in the images on the basis of the first to third images.