Abstract: The disclosure is directed to multilayer Mo/Si coatings for reflective mirrors used in extreme ultraviolet lithographic systems and to a method of making such mirrors using plasma ion assisted deposition (PIAD) techniques. The coating are deposited on a substrate suitable for EUV lithography, and are Mo/Si coating consisting of 40-100 Mo/Si periods, each period consisting on a Mo layer followed by a Si layer. Each of the individual Mo and Si layers is deposited to a specified or target thickness in the range of 2 nm to 5 nm, and the thicknesses are controlled to ±0.1 nm. A plasma from a plasma source is used to densify and smooth the substrate prior to deposition of the coating, and each layer of the coating is plasma densified and smoothed.

Abstract: Systems, methods, and computer-readable storage media for chatter reduction in video object segmentation using optical flow assisted gaussholding. An optical flow assisted gaussholding method may be applied to segmentation masks generated for a video sequence. For each frame of at least some frames in a video sequence, for each of one or more other frames prior to and one or more other frames after the current frame, optical flow is computed for the other frame in relation to the current frame and used to warp the contour of the segmentation mask of the other frame to generate warped segmentation mask for the other frames. The weighted average of the warpedsegmentation masks and the segmentation mask of the current frame is then computed; this weighted average may be blurred spatially, for example using a Gaussian filter. The initial smoothed mask may be thresholded to produce a binary smoothed mask.

Abstract: The present invention relates to mobile communication technologies, and discloses a method and a device for handover between User Equipment (UE) in a process of sending a message to enable the after-handover UE receive messages accurately. The method includes: receiving a UE handover request sent by a before-handover UE, wherein the UE handover request carries an identifier of an after-handover UE and indication parameters for sending a message; and sending the message to the after-handover UE according to the identifier of the after-handover UE and the indication parameters for sending the message. The embodiments of the present invention are applied to handover between UEs in the process of sending a message.

Abstract: A set of feature points for defining features of a face is detected in a target image and a reference image. The target image is warped to accommodate a selected feature from the reference image using the set of feature points and a set of three-dimensional models. The reference image is warped to a pose of the target image using the set of feature points and the set of three-dimensional models. The selected feature is copied from the reference image to the target image.

Abstract: The disclosure is directed to a method of making yttrium oxide, Y2O3, coatings on substrates suitable for use at infrared wavelengths, including use in the 2-12 ?m range. The coating method eliminates or substantially eliminates the absorptions peaks that typically appear at approximately 3.0 ?m, 6.6 ?m and 7.1 ?m. This is achieved by using Y metal as the yttrium source in combination with an oxygen-containing plasma to form the Y2O3, coating in place of the using Y2O3 as the coating material source The disclosure is further directed to optics suitable for use in the infrared that have such coatings. The transmission spectrum of the coated substrate made according to the method described herein is greater than the transmission spectrum of the uncoated substrate over the wavelength range of 4 ?m to 12 ?m.

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 dynamic color flow modeling. A dynamic color flow model that incorporates motion estimation in a probabilistic fashion is described. By automatically and adaptively changing model parameters based on the inferred local motion uncertainty, the dynamic color flow model accurately and reliably models the object appearance, and improves the foreground color probability estimation when compared to conventional methods. The dynamic color flow model may, for example, be applied to both foreground and background layers (or to additional layers) for video object segmentation, obtaining significantly improved results when compared to conventional methods.

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: A set of feature points for defining features of a face is detected in a target image and a reference image. The target image is warped to accommodate a selected feature from the reference image using the set of feature points and a set of three-dimensional models. The reference image is warped to a pose of the target image using the set of feature points and the set of three-dimensional models. The selected feature is copied from the reference image to the target image.

Abstract: Three dimensional models corresponding to a target image and a reference image are selected based on a set of feature points defining facial features in the target image and the reference image. The set of feature points defining the facial features in the target image and the reference image are associated with corresponding 3-dimensional models. A 3D motion flow between the 3-dimensional models is computed. The 3D motion flow is projected onto a 2D image plane to create a 2D optical field flow. The target image and the reference image are warped using the 2D optical field flow. A selected feature from the reference image is copied to the target image.

Abstract: Techniques are disclosed relating to lens modeling. In one embodiment, a lens model may be generated based on reference images of a pre-determined, known geometric pattern. The lens model may represent a spatially variant blur pattern across the image field of the lens used to capture the reference images. In one embodiment, the lens model may include Gaussian approximations of the blur that may minimize the difference between a location within a reference image and a corresponding location of a pre-determined, known geometric pattern. In one embodiment, the generated lens model may be applied to deblur a new 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: Various embodiments of methods and apparatus for face fitting are disclosed. In one embodiment, sets of two-dimensional local feature points on a face in each image of a set of images are identified. The set of images includes a sequence of frames a video stream. A three-dimensional face model for the face in the each image is generated as a combination of a set of predefined three-dimensional face models. In some embodiments, the generating includes reducing an error between a projection of vertices of the set of predefined three-dimensional face models and the two-dimensional local feature points of the each image, and constraining facial expression of the three-dimensional face model to change smoothly from image to image in the sequence of video frames.

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 are disclosed for aligning user scribbles to edges in an image. A plurality of edges in the image may be determined. User input comprising a scribble may be received, wherein the scribble comprises a freeform line overlaid on the image. The scribble may be automatically aligned to one or more of the edges in the image.

Abstract: Systems, methods, and computer-readable storage media for chatter reduction in video object segmentation using optical flow assisted gaussholding. An optical flow assisted gaussholding method may be applied to segmentation masks generated for a video sequence. For each frame of at least some frames in a video sequence, for each of one or more other frames prior to and one or more other frames after the current frame, optical flow is computed for the other frame in relation to the current frame and used to warp the contour of the segmentation mask of the other frame to generate warped segmentation mask for the other frames. The weighted average of the warpedsegmentation masks and the segmentation mask of the current frame is then computed; this weighted average may be blurred spatially, for example using a Gaussian filter. The initial smoothed mask may be thresholded to produce a binary smoothed mask.

Abstract: A method, system, and computer-readable storage medium for automatic segmentation of a video sequence. A segmentation shape prediction and a segmentation color model are determined for a current image of a video sequence based on existing segmentation information for at least one previous image of the video sequence. A segmentation of the current image is automatically generated based on a weighted combination of the segmentation shape prediction and the segmentation color model. The segmentation of the current image is stored in a memory medium.