Abstract: Video editing methods and systems, including methods and systems to identify video clips having similar visual characteristics. Video clips may correspond to first and second videos, which may include a professional music video and a personal video, respectively. Identified video clips of the personal video may be combined into a new video clip, and music corresponding to visually similar video clips of the music video may be associated with the corresponding video clips of the new video. Video frames of the video clips may be characterized with respect to one or more visual features, which may include one or more of facial and/or body features, salient objects, camera motion, and image quality. Characterizations may be compared between video clips on an incremental basis. Characterization of a music video may implicitly model an underlying correlation between music rhythm and changes in visual appearance.

Abstract: The invention provides low-dust animal litters made from one or more ingredients that function as an animal litter and one or more polyols that function to control dust in the litter. The low-dust animal litters are made by selecting one or more litter ingredients suitable for making an animal litter and combining the litter ingredients with one or more polyols, generally by applying the polyols to the surface of one or more ingredients before or during the process of combining the ingredients to produce the litter.

Abstract: A composition for use as a thermally conductive composition in a heat-generating electronic device is provided. The composition comprises physically treated fillers modified with a surface area modifying agent and one or more resins.

Abstract: A product in television program currently being watched can be identified by extracting at least one decoded frame from a television transmission. The frame can be transmitted to a separate mobile device for requesting an image search and for receiving the search results. The search results can be used to identify the product.

Abstract: Systems, apparatus and methods are described including generating gradient images from an input image, where the gradient images include gradient images created using 2D filter kernels. Feature descriptors are then generated from the gradient images and object detection performed by applying the descriptors to a boosting cascade classifier that includes logistic regression base classifiers.

Abstract: Systems, devices and methods are described including receiving a semantic description and associated measurement criteria for a facial control parameter, obtaining principal component analysis (PCA) coefficients, generating 3D faces in response to the PCA coefficients, determining a measurement value for each of the 3D faces based on the measurement criteria, and determining a regression parameters for the facial control parameter based on the measurement values.

Abstract: A method, apparatus, and system are described for model-based playfield registration. An input video image is processed. The processing of the video image includes extracting key points relating to the video image. Further, whether enough key points relating to the video image were extracted is determined, and a direct estimation of the video image is performed if enough key points have been extracted and then, a homograph matrix of a final video image based on the direct estimation is generated.

Abstract: Machine-readable media, methods, apparatus and system for obtaining and processing image features are described. In some embodiments, a Gabor representation of an image may be obtained by using a Gabor filter. A region may be determined from the Gabor representation, wherein the region comprises a plurality of Gabor pixels of the Gabor representation; and, a sub-region may be determined from the region, wherein the sub-region comprises more than one of the plurality of Gabor pixels. Then, a Gabor feature may be calculated based upon a magnitude calculation related to the sub-region and the region.

Abstract: Systems, devices and methods are described including recovering camera parameters and sparse key points for multiple 2D facial images and applying a multi-view stereo process to generate a dense avatar mesh using the camera parameters and sparse key points. The dense avatar mesh may then be used to generate a 3D face model and multi-view texture synthesis may be applied to generate a texture image for the 3D face model.

Abstract: The invention provides a composition suitable for use as an animal litter comprising a first component having a density less than that of liquid and a second component having a density of at least 5 lb/ft3 (80 mg/cm3) greater than the first component. The invention is based upon the discovery that adding liquid such as urine to a composition having two components with significant differences in density, one of which is less than the density of the liquid, will result in the component with the lesser density floating to the top of the liquid while the component with the greater density will segregate below the component with the lesser density.

Abstract: An embodiment of a method for powering a low-power device using a power supply designed for a high-power device is described. In such an embodiment, an input voltage is provided to a voltage converter at a first voltage level. The input voltage is periodically electrically coupled to and decoupled from the voltage converter during operation of the low-power device. An output voltage is output from the voltage converter at a second voltage level to power the low-power device. The output voltage is provided during both the input voltage being electrically coupled to and decoupled from the voltage converter, and the second voltage level is substantially less than the first voltage level.

Abstract: A multi-core processor system may support 3D image rendering on an autostereoscopic display. The 3D image rendering includes pre-processing of depth map and 3D image wrapping tasks. The pre-processing of depth map may include a foreground prior depth image smoothing technique, which may perform a depth gradient detection and a smoothing task. The depth gradient detection task may detect areas with large depth gradient and the smoothing task may transform the large depth gradient into a linearly changing shape using low-strength, low-pass filtering techniques. The 3D image wrapping may include vectorizing the code for 3D image wrapping of row pixels using an efficient single instruction multiple data (SIMD) technique. After vectorizing, an API such as OpenMP may be used to parallelize the 3D image wrapping procedure. The 3D image wrapping using OpenMP may be performed on rows of the 3D image and on images of the multiple view images.

Abstract: Machine readable media, methods, apparatus and system for MPI program optimization. In some embodiments, shared data may be retrieved from a message passing interface (MPI) program, wherein the shared data is sharable by a plurality of processes. Then, the shared data may be allocated to a shared memory, wherein the shared memory is accessible by the plurality of processes. A single copy of the shared data may be maintained in the shared data in a global buffer of the processes of the plurality of processes can read or write the single copy of the shared data from or to the shared memory.

Abstract: Methods and apparatus are disclosed to index digital frames. An example method includes identifying channel types associated with a plurality of image frames, splitting each one of the plurality of image frames into a respective color channel based on the identified channel types, applying a local binary pattern to each of the respective color channels to generate a respective pattern number, generating a spatial representation of each respective pattern number to determine transition probabilities for each channel type, and identifying a degree of similarity between the plurality of image frames based on the transition probabilities.

Abstract: Some embodiments include a video copy detection approach based on speeded up robust features (SURF) trajectory building, local sensitive hash (LSH) indexing, and spatial-temporal-scale registration. First, interesting points' trajectories are extracted by SURF. Next, an efficient voting based spatial-temporal-scale registration approach is applied to estimate the optimal transformation parameters (shift and scale) and achieve the final video copy detection results by propagations of video segments in both spatial-temporal and scale directions. To speed up the detection speed, local sensitive hash (LSH) indexing is used to index trajectories for fast queries of candidate trajectories.

Abstract: A three-level ball detection and tracking method is disclosed. The ball detection and tracking method employs three levels to generate multiple ball candidates rather than a single one. The ball detection and tracking method constructs multiple trajectories using candidate linking, then uses optimization criteria to determine the best ball trajectory.

Abstract: A thread scheduler may be used in a chip multiprocessor or symmetric multiprocessor system to schedule threads to processors. The scheduler may determine the bandwidth utilization of the two threads in combination and whether that utilization exceeds the threshold value. If so, the threads may be scheduled on different processor clusters that do not have the same paths between the common memory and the processors. If not, then the threads may be allocated on the same processor cluster that shares cache among processors.

Abstract: Various embodiments provide a validation framework to validate whether data entered in a web application is valid. The framework includes a validation resource that contains a validation rule for the web application. The framework also includes a validation group web control that can generate client validation script that is useable by a client to validate whether the entered data is valid. In at least some embodiments, an event table that specifies the validation rules is used to present an error message when the entered data is not valid.

Abstract: The present disclosure describes a method and apparatus for accelerating computation of a Hough transform of a plurality of digital images of known width and height dimensions. The method includes determining a plurality of Hough values for each pixel location based on the width and height dimensions. The method further includes generating a lookup table comprising an array of Hough values corresponding to one or more Hough parameters of at least one geometric shape in at least one digital image. Each element in the array of Hough values may be based on a value of one or more Hough parameters and at least one of a height value or a width value. The method may include receiving a plurality of digital images having known width and height dimensions. The method may further include selecting, for at least one nonzero pixel of at least one of the plurality of digital images, the Hough values from the lookup table.

Abstract: A method, apparatus and system for, for each of a plurality of image frames, assigning a pattern number to each of a set of pixel neighborhoods within the frame and assigning a relationship number to each of a plurality of sets of pattern numbers based on a probability of transitioning between different pattern numbers in the set of pattern numbers when transitioning between different pixel neighborhoods. For a subset of the plurality of frames, the subset of frames may be determined to be similar, for example, based on the similarity of the relationship numbers of the subset of the plurality of frames. Other embodiments are described and claimed.