Abstract: An image de-blurring system obtains a blurred input image and generates, based on the blurred input image, a blur kernel. The blur kernel is an indication of how the image capture device was moved and/or how the subject captured in the image moved during image capture. Based on the blur kernel and the blurred input image, a de-blurred image is generated. The blur kernel is generated based on the direction of edges identified in the blurred input image and/or based on curves having a high curvature identified in the image (e.g., corners identified in the image).

Abstract: An image de-blurring system obtains a blurred input image and generates, based on the blurred input image, a blur kernel. The blur kernel is an indication of how the image capture device was moved and/or how the subject captured in the image moved during image capture, resulting in blur. Based on the blur kernel and the blurred input image, a de-blurred image is generated. The blur kernel is generated based on sharp versions of the blurred input image predicted using a data-driven approach based on a collection of prior edges.

Abstract: Systems and methods are provided for providing improved de-noising image content by using directional noise filters to accurately estimate a blur kernel from a noisy blurry image. In one embodiment, an image manipulation application applies multiple directional noise filters to an input image to generate multiple filtered images. Each of the directional noise filters has a different orientation with respect to the input image. The image manipulation application determines multiple two-dimensional blur kernels from the respective filtered images. The image manipulation application generates a two-two-dimensional blur kernel for the input image from the two-dimensional blur kernels for the filtered images. The image manipulation application generates a de-blurred version of the input image by executing a de-blurring algorithm based on the two-dimensional blur kernel for the input 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: A method for transferring a file in a conference system is provided, which includes the following steps. A file sending UE sends a conference identification of the conference to the file receiving UE through a conference server; and sends the file to the file receiving UE through the conference server. A conference server, and a file sending and receiving UE are also provided. In the present invention, when a user sends a file to another user in a conference, a conference identification of the conference, together with the file, is sent to the file receiving user, so that the file receiving user can get to know the conference associated with the file when receiving the file, thereby enhancing the experience enjoyed by the file receiving user.

Abstract: A method for implementing Customized Ringing Signal (CRS) services is provided. The method includes: receiving a call request initiated by a caller terminal; obtaining a policy of playing a CRS tone according to the call request, where the policy is a policy of playing a CRS tone, namely, a caller CRS tone or a callee CRS tone, or a policy of filtering the CRS tone; and playing the CRS tone to a callee according to the policy. By setting a policy of playing the CRS tone to the callee in the network or the callee terminal, the users enjoy the CRS services at their own discretion.

Abstract: Various embodiments of methods and apparatus for motion deblurring in text images are disclosed. In one embodiment, a threshold-based text prediction for a blurred image is generated. A point spread function for the blurred image is estimated. A result of the threshold-based text prediction function is deconvolved based on the point spread function. The generating, estimating, and deconvolving are iterated at a plurality of scales, and a final deconvolution of a result of the iteratively deconvolving is executed.

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 method for implementing Customized Ringing Signal (CRS) services is provided. The method includes: receiving a call request initiated by a caller terminal; obtaining a policy of playing a CRS tone according to the call request, where the policy is a policy of playing a CRS tone, namely, a caller CRS tone or a callee CRS tone, or a policy of filtering the CRS tone; and playing the CRS tone to a callee according to the policy. By setting a policy of playing the CRS tone to the callee in the network or the callee terminal, the users enjoy the CRS services at their own discretion.

Abstract: A method, device and system for authenticating gateway, node and server are provided in this invention. The node receives a message sent by a gateway, wherein the message comprises a number T3 shared by the gateway and a server, and a gateway identification. The node encrypts data with a key K1 shared by the node and the server, the data including T3, the gateway identification, and a random number T1 generated by the node, and then sends the encrypted data and a node identification to the server through the gateway. The node decrypts data encrypted by the server and forwarded by the gateway with the key, determines that the server is a valid server according to a T1-related number obtained by decryption, and establishes a security channel with the gateway according to a new key obtained through the decryption.

Abstract: Methods and apparatus for temporal matte filtering. Temporal matte filtering methods are described that improve the temporal coherence of alpha mattes for a video sequence while maintaining the matte structures on individual frames. The temporal matte filter may implement a level-set-based matte averaging method. In the level-set-based matte averaging method, two or more input alpha mattes are obtained. Level set curves are generated for the two or more alpha mattes. An averaged level set is computed from the two or more level sets according to a distance-transform-based technique. A temporally smoothed alpha matte may then be reconstructed by interpolating pixel alpha values between the inner and outer level set curves of the averaged level set. The alpha mattes can be optionally warped towards a center frame according to an optical flow technique before the averaging operation performed by the temporal matte filter.

Abstract: Methods and apparatus for adaptive trimap propagation. Methods are described that allow a trimap to be propagated from one frame to the next in a temporally coherent way. A radius-based method propagates automatically computed local trimap radii from frame to frame. A mesh-based method employs pins on the binary segmentation boundary and a mesh generated for the unknown region; the pins are tracked from one frame to the next according to an optical flow technique, the mesh is deformed from one frame to the next according to the movement of the pins, and the adaptive trimap is then warped according to the deformed mesh. These methods can be used separately, or the first method can be used to propagate some regions of the adaptive trimap, and the second method can be used to propagate other regions of the adaptive trimap.

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: The disclosure is directed to a coating consisting of a binary metal fluoride coating consisting a high refractive index metal fluoride layer on top of a substrate, a low refractive index metal fluoride layer on top of the high refractive index layer and layer of SiO2 or F—SiO2 containing 0.2 wt % to 4.5 (2000 ppm to 45,000 ppm) F on top of the low refractive index layer. In one embodiment the F content of F—SiO2 is in the range of 5000 ppm to 10,000 ppm F. The high index and low index materials are each deposited to a thickness of less than or equal to 0.9 quarter wave, and the capping material is deposited to a thickness in the range of 5 nm to 25 nm. The disclosure is also directed to optical elements having the foregoing coating and a method of making the coating.

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: Techniques and apparatus for automatic upright adjustment of digital images. An automatic upright adjustment technique is described that may provide an automated approach for straightening up slanted features in an input image to improve its perceptual quality. This correction may be referred to as upright adjustment. A set of criteria based on human perception may be used in the upright adjustment. A reprojection technique that implements an optimization framework is described that yields an optimal homography for adjustment based on the criteria and adjusts the image according to new camera parameters generated by the optimization. An optimization-based camera calibration technique is described that simultaneously estimates vanishing lines and points as well as camera parameters for an image; the calibration technique may, for example, be used to generate estimates of camera parameters and vanishing points and lines that are input to the reprojection technique.

Abstract: Techniques and apparatus for automatic upright adjustment of digital images. An automatic upright adjustment technique is described that may provide an automated approach for straightening up slanted features in an input image to improve its perceptual quality. This correction may be referred to as upright adjustment. A set of criteria based on human perception may be used in the upright adjustment. A reprojection technique that implements an optimization framework is described that yields an optimal homography for adjustment based on the criteria and adjusts the image according to new camera parameters generated by the optimization. An optimization-based camera calibration technique is described that simultaneously estimates vanishing lines and points as well as camera parameters for an image; the calibration technique may, for example, be used to generate estimates of camera parameters and vanishing points and lines that are input to the reprojection technique.

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: A sharp frame and a blurred frame are detected from among a plurality of frames. A blur kernel is estimated. The blur kernel represents a motion-transform between the sharp frame and the blurred frame. Using the blur kernel, a static region measure for the sharp frame and the blurred frame is estimated. A de-blurred frame is generated by replacing one or more pixels of the blurred frame as indicated by the static region measure.