Pts Corporation

Altera Corporation

Verseon Corporation

Other

Pulsent Corporation

Adityo Prakash

Eniko Fodor

Edward R Ratner

David B Kita

Sachin Ahuja

John Chen

Hitoshi Watanabe

Eniko F Prakash

David L Cook

Michael Fleisher

Somalee Datta

Oliver W Shih

Thomas D Miller

Hon Hing So

Chandlee B Harrell

Carroll Philip Gossett

Tser-Yuan Brian Yang

Kendall R Haulotte

Dimitrios Antsos

Dimitri Antsos

Gavin B Horn

John S Chen

David Cook

The present invention includes various embodiments of a BSA system that facilitates the collection of relevant health-related data on a continuous basis, integrates such data with pertinent personal and aggregate information, enables users to purchase (directly and indirectly) health-related goods and services, and provides credit, discounts and other economic benefits in connection with such purchases that are determined dynamically based upon the nature and extent of users' interaction with the system. The BSA system facilitates a dynamic feedback process by continually monitoring user interaction and medical and financial behavior, which results in dynamic adjustments to their credit levels and offers of discounts and other promotions, which in turn incentivizes users to continue participating in the process (thereby modifying their system interactions and behavior, and thus perpetuating this feedback loop). As a result, users are incentivized to actively participate in the process and thereby enhance their wellness while reducing healthcare costs.

Facilitating integrated behavioral support through personalized adaptive data collection

Systems and methods for facilitating integrated behavioral support

An encoder segments frames of video data and associates metadata with segments. The metadata elements can be associated with the segments that include areas of the frame associated with the metadata elements. A motion matcher can match segments of a reference frame to pixels of a current nonkey frame being encoded when a metadata associator associates elements of metadata with segments of the segmentation of the reference frame and associates a matched segment's metadata elements with matched areas of the current frame. The metadata elements might represent actions to be taken when a user of the video data indicates a selection of an area of an image that has that metadata element associated therewith. The metadata associations can be included in the encoded video data or deduced by a decoder. The metadata associations can be independent of segment indices or other segment changes.

Segment-based encoding system including segment-specific metadata

A method for partitioning a molecular subset is described. The partitioning method takes into account molecular structure and its manner of storage and transmission, transformations to be applied to the molecular subset and their implementation, and constraints imposed by the implementation of the partitioning method. Using this method, a molecular subset can be stored, transmitted, and processed more efficiently. The resulting efficiency makes it possible to design and run applications which require complex molecular processing, such as rational drug discovery, virtual library design, etc.

Method and device for partitioning a molecule

An encoding system includes an encoder that encodes uncompressed video data to form compressed video data and a decoder that decodes the compressed video data to form at least an approximation of the uncompressed video data. The video data comprises a sequence of a plurality of image frames comprising key frames and nonkey frames. In encoding a nonkey frame, reference is made to segments of a reference frame. Kinetic information, such as motion vectors, relates portions of the nonkey frame to the segments of it reference frame. The information content of the nonkey frame that is not conveyed by the segmentation, the reference frame content and the kinetic information can be encoded as residue data. Each segment's residue data, or the nonkey frame's residue data, can be encoded as coefficients of basis functions known to both the encoder and the decoder.

Segment-based encoding system using residue coding by basis function coefficients

In one embodiment, an image is broken up into multiple regions or segments, where each segment may be of arbitrary shape, and a transform (multi-scale or otherwise) is applied on the set of segments. In another embodiment, pattern adaptive prediction is used when predicting the next finer level of the transform pyramid. The pattern adaptive prediction uses the parent grid to determine what geometry of a filter is to be used when predicting the child grid. At the boundaries of the domain, the pattern adaptive prediction can coupled with the domain adaptive prediction technique.

Adaptive transforms

Computing units are determined for performing molecular docking calculations in parallel with the number of computing units and the width of the data paths allocated by relative complexity of operations. Data can be expected to arrive at downstream computing units as it is needed, leading to higher utilization of computing units. Computing units are hardware components that are specific to a calculation performed. For molecular docking calculations, functions of molecular subsets or of combinations of molecular subsets are calculated. Determinations include fit between molecular subsets, affinity or energy of 'fit' between molecular subsets, etc. Affinity might include inter-atomic energy, bond energy, energy of atoms immersed in a field, etc. The calculations could be used to simulate and/or estimate likelihoods of molecular interactions.

Method and apparatus for analysis of molecular configurations and combinations

A method and apparatus for analysis of molecular combinations featuring two or more molecular subsets is described. The method computes the shape complementarity of the system utilizing a basis expansion representing molecular shapes of the first and second molecular subsets in a coordinate system. The precomputed sets of translated expansion coefficients for the first molecular subset are first constructed via application of a translation operator to a reference set of expansion coefficients and then stored on a computer recordable medium for later retrieval. Then, a shape complementarity score, representing a correlation of the first and second molecular subsets, is computed via suitable application of rotation operators to both the stored translated expansion coefficients of the first molecular subset and the reference expansion coefficients for the second molecular subset over the sequence of different sampled configurations for the molecular combination.

Method and apparatus for analysis of molecular combination based on computations of shape complementarity using basis expansions

In one embodiment, an image is broken up into multiple regions or segments, where each segment may be of arbitrary shape, and a transform (multi-scale or otherwise) is applied on the set of segments. In another embodiment, pattern adaptive prediction is used when predicting the next finer level of the transform pyramid. The pattern adaptive prediction uses the parent grid to determine what geometry of a filter is to be used when predicting the child grid. At the boundaries of the domain, the pattern adaptive prediction can be coupled with the domain adaptive prediction technique.

A method for the prediction of adverse cross-reactions between lead candidate biomolecules and potential reactant molecules, often biopolymers, is described. In a computational system, reactions are modeled within a suitable environment, in order to determine a reaction profile between a lead candidate molecule and a potential reactant molecule. A risk assessment is then generated for each lead based on a plurality of reaction profiles for the lead with respect to a plurality of potential reactant molecules. The method includes provisions for redesign and optimization of the lead candidate, possibly iterative in nature, in order to avoid predicted adverse cross-reactions.

Lead molecule cross-reaction prediction and optimization system

In one embodiment according to the present invention, relative z-ordering of segments in a digital image is determined. A method comprises forward and backward motion matching of image regions to determine overlap, followed by the creation of relationships (e.g., pairwise relationships) between regions and comparing the result with the original image to determine the relative z-ordering.

Method of determining relative z-ordering in an image and method of using same

One embodiment of the invention pertains to a method of determining a measure of image complexity. An image is subdivided the image into a plurality of small image regions. Multiple statistical tests are performed to determine the similarity of a pair of adjacent image regions. If said pair passes the multiple statistical tests, then the pair of adjacent image regions are grouped together into one new region. The resulting merged regions may be weighted according to geometry and/or color variance, and the weights may be summed to produce an image complexity measure.

Method and apparatus for measuring image complexity

One embodiment of the invention relates to a method of merging segments to form supersegments in an image. The image consists of a plurality of segments that are constituent portions of the image. At least one candidate segment(s) and at least one neighboring segment(s) for each candidate segment are identified. An error statistic for each pair, consisting of a candidate segment and a corresponding neighboring segment, is computed. A neighboring segment is determined that results in a smallest error statistic for a given candidate segment. A determination is also made as to whether the smallest error statistic is sufficiently small to merit merging of the corresponding pair of segments. The corresponding pair of segments is merged to create one supersegment. The supersegment is a new segment including all pixels formerly contained in one of the two segments that were merged.

Method and apparatus for merging related image segments

A method and apparatus for client-side detection of network congestion in a best-effort packet network comprising streaming media traffic is disclosed. Said method and apparatus provide for quality streaming media services in a congested network with constrained bandwidth over the last-mile link. A client media buffer detects at least one level of congestion and signals a server to enact at least one error mechanism. Preferred error mechanisms include packet retransmissions, stream prioritization, stream acceleration, changes in media compression rate, and changes in media resolution. Said method and apparatus allow distributed management of network congestion for networks comprising multiple clients and carrying significant streaming media traffic.

Flow control method for quality streaming of audio/video/media over packet networks

Motion vectors encode for differences between segments of a reference frame and pixels of a current frame being encoded when the current frame is a nonkey frame. The motion vectors are encoded by grouping one or more segments of the frame into a group of segments, generating a group motion vector for the group of segments and one or more local motion vectors, wherein a local motion vector corresponds to a segment in the one or more segments and specifies a change for the segment relative to the motion vector for the group of segments and encoding the motion vector and one or more local motion vectors. The group motion vector can be determined based on a relationship between the motion vectors for the one or more segments. The grouping can be hierarchical. The motion vectors can represent translation, z-ordering, deformation, and/or lighting data.

Growing community of inventors

Redwood Shores, CA, United States of America

Adityo Prakash