Abstract: Natural language image tags are described. In one or more implementations, at least a portion of an image displayed by a display device is defined based on a gesture. The gesture is identified from one or more touch inputs detected using touchscreen functionality of the display device. Text received in a natural language input is located and used to tag the portion of the image using one or more items of the text received in the natural language input.

Abstract: Natural language and user interface control techniques are described. In one or more implementations, a natural language input is received that is indicative of an operation to be performed by one or more modules of a computing device. Responsive to determining that the operation is associated with a degree to which the operation is performable, a user interface control is output that is manipulable by a user to control the degree to which the operation is to be performed.

Abstract: Natural language image editing techniques are described. In one or more implementations, a natural language input is converted from audio data using a speech-to-text engine. A gesture is recognized from one or more touch inputs detected using one or more touch sensors. Performance is then initiated of an operation identified from a combination of the natural language input and the recognized gesture.

Abstract: Methods and apparatus for robust video stabilization. A video stabilization technique applies a feature tracking technique to an input video sequence to generate feature trajectories. The technique applies a video partitioning technique to segment the input video sequence into factorization windows and transition windows. The technique smoothes the trajectories in each of the windows, in sequence. For factorization windows, a subspace-based optimization technique may be used. For transition windows, a direct track optimization technique that uses a similarity motion model may be used. The technique then determines and applies warping models to the frames in the video sequence. In at least some embodiments, the warping models may include a content-preserving warping model, a homography model, a similarity transform model, and a whole-frame translation model. The warped frames may then be cropped according to a cropping technique.

Abstract: Methods and apparatus for robust video stabilization. A video stabilization technique applies a feature tracking technique to an input video sequence to generate feature trajectories. The technique applies a video partitioning technique to segment the input video sequence into factorization windows and transition windows. The technique smoothes the trajectories in each of the windows, in sequence. For factorization windows, a subspace-based optimization technique may be used. For transition windows, a direct track optimization technique that uses a similarity motion model may be used. The technique then determines and applies warping models to the frames in the video sequence. In at least some embodiments, the warping models may include a content-preserving warping model, a homography model, a similarity transform model, and a whole-frame translation model. The warped frames may then be cropped according to a cropping technique.

Abstract: This specification describes technologies relating to digital images. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving a source wide-angle image; identifying one or more locally salient features of the source wide-angle image; calculating a mapping from the source wide-angle image to a two-dimensional mapped wide-angle image according to constraints using the identified one or more spatially variable salient features; and rendering the mapped wide-angle image using the calculated mapping such that the mapped wide-angle image reduces distortion of the locally salient features relative to the distortion of the source wide angle image.

Abstract: Methods and apparatus for robust video stabilization. A video stabilization technique applies a feature tracking technique to an input video sequence to generate feature trajectories. The technique applies a video partitioning technique to segment the input video sequence into factorization windows and transition windows. The technique smoothes the trajectories in each of the windows, in sequence. For factorization windows, a subspace-based optimization technique may be used. For transition windows, a direct track optimization technique that uses a similarity motion model may be used. The technique then determines and applies warping models to the frames in the video sequence. In at least some embodiments, the warping models may include a content-preserving warping model, a homography model, a similarity transform model, and a whole-frame translation model. The warped frames may then be cropped according to a cropping technique.

Abstract: Methods and apparatus for robust video stabilization. A video stabilization technique applies a feature tracking technique to an input video sequence to generate feature trajectories. The technique applies a video partitioning technique to segment the input video sequence into factorization windows and transition windows. The technique smoothes the trajectories in each of the windows, in sequence. For factorization windows, a subspace-based optimization technique may be used. For transition windows, a direct track optimization technique that uses a similarity motion model may be used. The technique then determines and applies warping models to the frames in the video sequence. In at least some embodiments, the warping models may include a content-preserving warping model, a homography model, a similarity transform model, and a whole-frame translation model. The warped frames may then be cropped according to a cropping technique.

Abstract: Methods and apparatus for robust video stabilization. A video stabilization technique applies a feature tracking technique to an input video sequence to generate feature trajectories. The technique applies a video partitioning technique to segment the input video sequence into factorization windows and transition windows. The technique smoothes the trajectories in each of the windows, in sequence. For factorization windows, a subspace-based optimization technique may be used. For transition windows, a direct track optimization technique that uses a similarity motion model may be used. The technique then determines and applies warping models to the frames in the video sequence. In at least some embodiments, the warping models may include a content-preserving warping model, a homography model, a similarity transform model, and a whole-frame translation model. The warped frames may then be cropped according to a cropping technique.

Abstract: Methods and apparatus for robust video stabilization. A video stabilization technique applies a feature tracking technique to an input video sequence to generate feature trajectories. The technique applies a video partitioning technique to segment the input video sequence into factorization windows and transition windows. The technique smoothes the trajectories in each of the windows, in sequence. For factorization windows, a subspace-based optimization technique may be used. For transition windows, a direct track optimization technique that uses a similarity motion model may be used. The technique then determines and applies warping models to the frames in the video sequence. In at least some embodiments, the warping models may include a content-preserving warping model, a homography model, a similarity transform model, and a whole-frame translation model. The warped frames may then be cropped according to a cropping technique.

Abstract: Methods, apparatus, and computer-readable storage media for video completion that may be applied to restore missing content, for example holes or border regions, in video sequences. A video completion technique applies a subspace constraint technique that finds and tracks feature points in the video, which are used to form a model of the camera motion and to predict locations of background scene points in frames where the background is occluded. Another frame where those points were visible is found, and that frame is warped using the predicted points. A content-preserving warp technique may be used. Image consistency constraints may be applied to modify the warp so that it fills the hole seamlessly. A compositing technique is applied to composite the warped image into the hole. This process may be repeated until the missing content is filled on all frames.

Abstract: Methods and apparatus for robust video stabilization. A video stabilization technique applies a feature tracking technique to an input video sequence to generate feature trajectories. The technique applies a video partitioning technique to segment the input video sequence into factorization windows and transition windows. The technique smoothes the trajectories in each of the windows, in sequence. For factorization windows, a subspace-based optimization technique may be used. For transition windows, a direct track optimization technique that uses a similarity motion model may be used. The technique then determines and applies warping models to the frames in the video sequence. In at least some embodiments, the warping models may include a content-preserving warping model, a homography model, a similarity transform model, and a whole-frame translation model. The warped frames may then be cropped according to a cropping technique.

Abstract: Methods and apparatus for local region selection are described. A scribble-based, edge-aware local region selection tool or module that implements a local region selection method may allow a user to draw scribbles or strokes indicating different classes of content. The method may train Gaussian mixture models (GMMs) for each class from the user input. The GMMs may be applied to the image to generate a probability map for each class. Post-processing may be optionally performed to remove structural outliers. The probability maps may be smoothed using a geodesic smoothing technique. A geodesic smoothing technique may be applied that considers other classes when smoothing each class to limit or prevent propagation of a region corresponding to the class into other regions corresponding to other classes. The smoothed probability maps may be combined to generate a final region selection mask.

Abstract: Methods, apparatus, and computer-readable storage media for subspace video stabilization. A subspace video stabilization technique may provide a robust and efficient approach to video stabilization that achieves high-quality camera motion for a wide range of videos. The technique may transform a set of input two-dimensional (2D) motion trajectories so that they are both smooth and resemble visually plausible views of the imaged scene; this may be achieved by enforcing subspace constraints on feature trajectories while smoothing them. The technique may assemble tracked features in the video into a trajectory matrix, factor the trajectory matrix into two low-rank matrices, and perform filtering or curve fitting in a low-dimensional linear space. The technique may employ a moving factorization technique that is both efficient and streamable.

Abstract: A method, system, and computer-readable storage medium for performing content based transitions between images. Image content within each image of a set of images are analyzed to determine at least one respective characteristic metric for each image. A respective transition score for each pair of at least a subset of the images is determined with respect to each transition effect of a plurality of transition effects based on the at least one respective characteristic metric for each image. Transition effects implementing transitions between successive images for a sequence of the images are determined based on the transition scores. An indication of the determined transition effects is stored. The determined transition effects are useable to present the images in a slideshow or other image sequence presentation.

Abstract: In one embodiment, a method comprises receiving a source video sequence; determining a stabilized camera path to which the source video sequence is to be stabilized; and generating a stabilized video sequence, wherein each frame of the stabilized video sequence is generated as a content-aware warp of a corresponding frame in the input sequence.

Abstract: In one embodiment, a method comprises receiving a source video sequence; determining a stabilized camera path to which the source video sequence is to be stabilized; and generating a stabilized video sequence, wherein each frame of the stabilized video sequence is generated as a content-aware warp of a corresponding frame in the input sequence.

Abstract: The subject application provides an architecture that facilitates producing a single image that can visualize a scene too large to depict from any single perspective view. These images can be stitched together on a 2-dimensional picture surface to form a multi-perspective image of the entire extent of the scene depicted by the input images. Where the respective images overlap, an objective function can be employed to determine where to make a transition between one image and the next. The objective function can employ a data cost and a seam cost to make this determination.