719 results about "Compositing" patented technology

A device, system and method are provided for processing structured documents for display. Content of a first viewable portion of the structured document having a fixed position in relation to a viewport is rendered as first rendered image data. Content of a second viewable portion that does not have a fixed position is rendered as second rendered image data. The first and second rendered image data are composited, and a resultant composited image is output for display. In response to a scroll or zoom command applied to the document, and in particular to the second viewable portion, the second rendered image data is updated and composited with the first rendered image data. Compositing can be carried out by a graphics processor separate from a main processor in the electronic device. When no fixed position elements are present in the structured document, the main processor renders the entire content without compositing.

Systems and methods for providing custom video mosaic pages are provided. The custom pages may be locally-generated, remotely-generated, or partially locally-generated and partially remotely-generated. The custom pages may include local content, such as content recorded to a digital video recorder (DVR), overlaid on a multi-video composite feed. A local compositing system may render the mosaic pages and dynamically customize the pages based on user profile data, user preferences, and active user monitoring.

A method of creating an image utilizing a table of levels known as a “level activation table” (34) is disclosed. The method uses the level activation table to optimally evaluate a given compositing expression such that the number of pixel operations needed to evaluate the expression is minimized. The method determines the smallest regions in which compositing operations need to be performed and uses these regions to produce the level activation tables where clipping is applied to operations in order to avoid redundant and/or incorrect pixel operations. The method is preferably used in a compositing model in which objects are composited onto a page using a stack machine and an associated compositing stack (38). The stack 38 may be manipulated using standard stack operations such as push, pull and pop. Instructions for the stack machine are taken from the level activation table 34.

An imaging system captures focused imagery from two or more focal planes, yet does so with relatively simple optical elements. Some arrangements involve folded optical paths, to make them more compact in size. Others enable the image sensors to be mounted in coplanar arrangement. Still others involve digital compositing, e.g., to mitigate undesired bokeh effects. A great variety of other features and arrangements are also detailed.

An automated microscope and computer system captures a set of images for a capture area in a plurality of focal planes. The images can then be integrated into composite images for browsing to simulate viewing an item, such as a biological sample, under a microscope. A corrective filter can be constructed from the images to avoid an effect called “tiling.” Before capture, variable focal plane error can be avoided by collecting z locations for a set of points in the capture area. During image browsing, entire composite images can be loaded into memory in compressed form. Compressed image portions can be pre-decompressed to avoid delay as a browsing user navigates throughout the composite images. Pre-decompression can be done by a thread separate from the thread performing navigation operations.

Systems and methods for interactive image compositing may integrate image searching using visual search criteria (e.g., color, composition, tonal distribution, or lighting effects), non-destructive image compositing, and high-performance rendering using a fast gradient solver to provide an efficient workflow for users. An image compositing application, executable by a CPU and/or GPU, may employ a sketch-and-refine approach, whereby a user draws a rough perimeter around an object of interest in an image and (following an initial application of the fast gradient solver to a lower-resolution version of the image) receives a preview of how it would fit into a composition. The fast gradient solver may differentiate between the object and its background by applying artificial intelligence techniques and/or dependent on user-supplied hints. In a second stage, the fast gradient solver may refine the solution for a final rendering of the composite image by operating on successively higher-resolution versions of the image.

A three-dimensional computer graphics model which represents a measurable range of a position and orientation sensor is prepared in advance. A composite image is generated by superimposing an image of a virtual object which represents the measurable range of the position and orientation sensor on an actually-sensed image in real space where the position and orientation sensor is placed. The composite image, when displayed, makes it possible to visually recognize the measurable range of the position and orientation sensor.

A media-editing application of some embodiments allows a user of the application to group media clips displayed in the timeline into a single clip representation. A composite display area of the media-editing application often displays numerous clips at various instances in time and at various levels in the compositing hierarchy. To reduce the number of media clips in the timeline, the media-editing application of some embodiments allows the user to select several media clips and combine them into a one media clip representation. In this manner, the media-editing application reduces the congestion in the timeline. These single clip representations are referred to as “compound clips.” Compound clips can be viewed as containers that can include several media clips of the same type in some embodiments, or that can include several media clips of several different types in other embodiments.

Digital imagery is composed or composited within a smartphone or other portable electronic device to merge foreground and background subject matter acquired simultaneously with different cameras or acquired at different times with the same camera. A processor stores the digital imagery along with information derived or used by an operation to differentiate the foreground subject matter from the background scene, which may be a digital matting operation, and/or may involve finding an edge or an outline of the foreground subject matter. The foreground subject matter and the background scene may be stored as different graphical layers in the memory. A user control such as a touchscreen may enable a user to select and resize or reposition the foreground subject matter on a background scene of a separately acquired image. The digital imagery may constitute a still image or a sequence of images representative of motion video.

The embodiment of the invention discloses a video compositing method and device. The video compositing method comprises the steps of receiving a video compositing request of a user; according to the video compositing request, determining media materials required by video compositing, display periods, corresponding to the media materials, in an expected compositing result, render effects corresponding to the media materials, and render periods corresponding to the render effects; according to determining results, generating time domain distribution information used for video compositing, wherein time domain distribution situations of the media materials in the expected compositing result, and time domain distribution situations of the render effects corresponding to the media materials in the expected compositing result are recorded in the distribution information; respectively decoding the media materials, and conducting compositing on decoding results of the medial materials according to the time domain distribution information. Thus, in a video, image and audio compositing process, corresponding effects can be added at the same time, time for video compositing is shortened, and user experience is promoted.

An image processing apparatus includes: a calculating unit configured to calculate motion information relating to between two images that make up an imaged moving picture; and a selecting unit configured to select compositing target images serving as compositing targets from a plurality of images that make up the imaged moving picture based on reliability that indicates the likelihood of the calculated motion information.

A simplified general model and an associated estimation algorithm is provided for modeling visual data such as a video sequence. Specifically, images or frames in a video sequence are represented as collections of flat moving objects that change their appearance and shape over time, and can occlude each other over time. A statistical generative model is defined for generating such visual data where parameters such as appearance bit maps and noise, shape bit-maps and variability in shape, etc., are known. Further, when unknown, these parameters are estimated from visual data without prior pre-processing by using a maximization algorithm. By parameter estimation and inference in the model, visual data is segmented into components which facilitates sophisticated applications in video or image editing, such as, for example, object removal or insertion, tracking and visual surveillance, video browsing, photo organization, video compositing, etc.

A fast variational on-line learning technique for training a transformed hidden Markov model. A simplified general model and an associated estimation algorithm is provided for modeling visual data such as a video sequence. Specifically, once the model has been initialized, an expectation-maximization (“EM”) algorithm is used to learn the one or more object class models, so that the video sequence has high marginal probability under the model. In the expectation step (the “E-Step”), the model parameters are assumed to be correct, and for an input image, probabilistic inference is used to fill in the values of the unobserved or hidden variables, e.g., the object class and appearance. In one embodiment of the invention, a Viterbi algorithm and a latent image is employed for this purpose. In the maximization step (the “M-Step”), the model parameters are adjusted using the values of the unobserved variables calculated in the previous E-step. Instead of using batch processing typically used in EM processing, the system and method according to the invention employs an on-line algorithm that passes through the data only once and which introduces new classes as the new data is observed is proposed. By parameter estimation and inference in the model, visual data is segmented into components which facilitates sophisticated applications in video or image editing, such as, for example, object removal or insertion, tracking and visual surveillance, video browsing, photo organization, video compositing, and meta data creation.

A method for directly joining ceramics (10) and metals (12). The method involves forming a structure having a ceramic component (10), a more refractory metallic component and a less refractory metallic-material-based interlayer (14) disposed between the ceramic component (10) and the metallic component (12); adding a eutectic forming reactant to the metallic interlayer (14); and heating the structure to approximately a eutectic melting temperature of the reactant and the interlayer to form a metallic-material-based eutectic liquid that interacts with the metallic component to form a bond that directly joins the ceramic and metallic components to one another.

A method of compositing a plurality of graphic objects with a compositing buffer, is disclosed. The plurality of graphic objects forming a group is attenuated by group opacity and is composited from a top object to a bottom object. Based on a first mask and the group opacity, a second mask is generated. The first mask stores a remaining possible contribution for further graphic objects below and including the plurality of graphic objects. The plurality of graphic objects in a top down order is processed. In particular, for each graphic object of the plurality of graphic objects: (a) a contribution value for the graphic object using the second mask is determined, the contribution value representing a contribution of the graphic object to the compositing buffer; (b) a colour value of the graphic object is composited with the compositing buffer using the contribution value; and (c) the second mask is updated using the contribution value. The first mask is then updated using the second mask and the group opacity. The updated first mask is configured for further compositing of objects below the plurality of graphic objects.