Abstract: The present invention relates to novel compounds of the general formula (I) their pharmaceutically acceptable salts, pharmaceutically acceptable solvates, enantiomers, diastereomers and polymorphs. The invention also relates to processes for the preparation of the compounds of invention, pharmaceutical compositions containing the compounds and their use as the compounds of the invention belong to the family of NOD-like receptor family (NLR) protein NLRP3 modulators. The present invention thus relates to novel NLRP3 modulators as well as to the use of the novel inhibitor compounds in the treatment of diseases or conditions in which interleukin 1? activity is implicated.

Abstract: The present invention relates to novel heterocyclic compounds of general formula (I) their tautomers, stereoisomers, enantiomers, pharmaceutically acceptable salts and pharmaceutical composition. The compounds of general formula (I) belongs to the family of NOD like receptor family (NLR) protein NLRP3 modulators. The present invention thus relates to novel NLRP3 modulators and use of these novel inhibitor compounds in the treatment of disease or conditions as well as treatment of disease states mediated by NLRP3 as well as treatment of diseases or conditions in which interleukin 1? activity and interleukin-18 (IL-18) is implicated.

Abstract: The present invention relates to novel heterocyclic compounds of the general formula (I) their pharmaceutically acceptable salts, pharmaceutically acceptable solvates, enantiomers, diastereomers and polymorphs. The invention also relates to processes for the preparation of the compounds of invention, pharmaceutical compositions containing the compounds and their use as the compounds of the invention belong to the family of NOD-like receptor family (NLR) protein NLRP3 modulators. The present invention thus relates to novel NLRP3 modulators as well as to the use of the novel inhibitor compounds in the treatment of diseases or conditions in which interleukin 1? activity is implicated.

Abstract: The present invention relates to novel heterocyclic compounds of the general formula (I) their pharmaceutically acceptable salts, pharmaceutically acceptable solvates, enantiomers, diastereomers and polymorphs. The invention also relates to processes for the preparation of the compounds of invention, pharmaceutical compositions containing the compounds and their use as the compounds of the invention belong to the family of NOD-like receptor family (NLR) protein NLRP3 modulators. The present invention thus relates to novel NLRP3 modulators as well as to the use of the novel inhibitor compounds in the treatment of diseases or conditions as well as treatment of disease states mediated by NLRP3 as well as treatment of diseases or conditions in which interleukin 1? activity and interleukin-18 (IL-18) is implicated.

Abstract: The present invention relates to novel heterocyclic compounds of the general formula (I) their pharmaceutically acceptable salts, pharmaceutically acceptable solvates, enantiomers, diastereomers and polymorphs. The invention also relates to processes for the preparation of the compounds of invention, pharmaceutical compositions containing the compounds and their use as the compounds of the invention belong to the family of NOD-like receptor family (NLR) protein NLRP3 modulators. The present invention thus relates to novel NLRP3 modulators as well as to the use of the novel inhibitor compounds in the treatment of diseases or conditions as well as treatment of disease states mediated by NLRP3 as well as treatment of diseases or conditions in which interleukin 1? activity and interleukin-18 (IL-18) is implicated.

Abstract: Systems and methods for the generation of depth data for a scene using images captured by a camera-enabled mobile device are provided. According to a particular implementation of the present disclosure, a reference image can be captured of a scene with an image capture device, such as an image capture device integrated with a camera-enabled mobile device. A short video or sequence of images can then be captured from multiple different poses relative to the reference scene. The captured image and video can then be processed using computer vision techniques to produce an image with associated depth data, such as an RGBZ image.

Abstract: A system and machine-implemented method for providing one or more photos associated with a point of interest on a map, the method including receiving an indication of a request from a user to view photos associated with a point of interest on a map, identifying a set of photos associated with the point of interest, wherein the photos comprise at least one of photos taken from the point of interest or photos that depict at least part of the point of interest, ranking the photos within the set of photos according to ranking criteria, wherein the ranking criteria comprises one or more of map context, photo quality, photo type or user request information and providing one or more photos of the set of photos to the user according to the ranking.

Abstract: The use of statistics collected during the parallel distributed execution of the tasks of a job may be used to optimize the performance of the task or similar recurring tasks. An execution plan for a job is initially generated, in which the execution plan includes tasks. Statistics regarding operations performed in the tasks are collected while the tasks are executed via parallel distributed execution. Another execution plan is then generated for another recurring job, in which the additional execution plan has at least one task in common with the execution plan for the job. The additional execution plan is subsequently optimized based at least on the statistics to produce an optimized execution plan.

Abstract: Systems and methods for generating image tour are provided. Method includes constructing image graph comprising primary image nodes and secondary image nodes and edges. Method also includes determining, for each pair of primary nodes, pruned subgraph including pair of primary nodes and first subset of plurality of secondary nodes. Method also includes determining order of plurality of primary nodes based on rendering costs in pruned subgraphs. Method also includes splicing pruned subgraphs together according to determined order of primary nodes to generate spliced graph. Method also includes determining path through spliced graph. Path includes plurality of primary nodes in determined order and second subset of plurality of secondary nodes selected based on rendering costs and turning costs associated with transitioning between pairs of edges in spliced graph. Method also includes providing ordered subset of image set based on determined path for display as image tour on client.

Abstract: Systems and methods for generating image tour are provided. Method includes constructing image graph comprising primary image nodes and secondary image nodes and edges. Method also includes determining, for each pair of primary nodes, pruned subgraph including pair of primary nodes and first subset of plurality of secondary nodes. Method also includes determining order of plurality of primary nodes based on rendering costs in pruned subgraphs. Method also includes splicing pruned subgraphs together according to determined order of primary nodes to generate spliced graph. Method also includes determining path through spliced graph. Path includes plurality of primary nodes in determined order and second subset of plurality of secondary nodes selected based on rendering costs and turning costs associated with transitioning between pairs of edges in spliced graph. Method also includes providing ordered subset of image set based on determined path for display as image tour on client.

Abstract: A three-dimensional model of a scene is reconstructed from images of the scene. The three-dimensional model comprises parameters describing points of the scene and cameras that captured the scene. The parameters are iteratively modified by adding a correction to the parameters in each iteration. A preconditioner matrix is determined for solving the linear system of equations. To determine the preconditioner matrix, cameras that observed the scene are clustered, each cluster including cameras that observed a portion of the scene. The preconditioner matrix is determined by selectively eliminating terms of the linear system of equations that correspond to interactions across clusters of cameras. The linear system of equations is preconditioned using the preconditioner matrix. The preconditioned linear system of equations is solved to obtain the corrections to the parameters.

Abstract: A system and machine-implemented method for providing one or more photos associated with a point of interest on a map, the method including receiving an indication of a request from a user to view photos associated with a point of interest on a map, identifying a set of photos associated with the point of interest, wherein the photos comprise at least one of photos taken from the point of interest or photos that depict at least part of the point of interest, ranking the photos within the set of photos according to ranking criteria, wherein the ranking criteria comprises one or more of map context, photo quality, photo type or user request information and providing one or more photos of the set of photos to the user according to the ranking.

Abstract: Systems and methods for generating depth data from images captured by a camera-enabled mobile device are provided. The depth data can be used to refocus one or more portions of an image captured by the camera-enabled mobile device. A user can select different portions of the captured image to bring different portions of the image into focus and out of focus. Depth data for an image can be generated from a reference image and a sequence of images captured by the image capture device. The sequences of images can be acquired using a suitable camera motion. A refocused image can be generated with portions of the image out of focus relative to the reference image.

Abstract: The use of statistics collected during the parallel distributed execution of the tasks of a job may be used to optimize the performance of the task or similar recurring tasks. An execution plan for a job is initially generated, in which the execution plan includes tasks. Statistics regarding operations performed in the tasks are collected while the tasks are executed via parallel distributed execution. Another execution plan is then generated for another recurring job, in which the additional execution plan has at least one task in common with the execution plan for the job. The additional execution plan is subsequently optimized based at least on the statistics to produce an optimized execution plan.

Abstract: A three-dimensional model of a scene is constructed from images of the scene. The three-dimensional model comprises parameters including point parameters describing points of the scene and camera parameters describing cameras that captured the images of the scene. The parameters are iteratively modified by correcting the parameters in each iteration. The corrections to the parameters are determined by solving a sparse equation based on Jacobian of residuals of the parameters. A linear system of equations is formulated by determining row blocks of the Jacobian for each point, processing each row block independent of other row blocks and combining the results. The linear system of equation is solved to determine the corrections to the parameters. The corrections to the parameters are determined without storing the entire Jacobian matrix in memory at the same time. As a result, the construction of the three-dimensional model is performed with fewer memory resources.

Abstract: A system for pose generation consisting of a trajectory system, a pose generation system, an intersection extractor, an object identifier, a constraint generator, and a posegraph solver. The trajectory system identifies a number of trajectories based on input positional data of a bounded area. The pose generation system generates one or more poses based on the trajectories. The intersection extractor identifies one or more possible intersections in the one or more poses. The object identifier identifies an object pair for each possible intersection that represents two positional points at each possible intersection. The constraint generator computes and applies one or more intersection constraints to generate an energy value for each object pair based on their geometric relationship. The posegraph solver then minimizes a total energy value by modifying one or more poses and then generates an improved set of pose trajectories based on the modified one or more poses.

Abstract: A system for pose generation consisting of a trajectory system, a pose generation system, an intersection extractor, an object identifier, a constraint generator, and a posegraph solver. The trajectory system identifies a number of trajectories based on input positional data of a bounded area. The pose generation system generates one or more poses based on the trajectories. The intersection extractor identifies one or more possible intersections in the one or more poses. The object identifier identifies an object pair for each possible intersection that represents two positional points at each possible intersection. The constraint generator computes and applies one or more intersection constraints to generate an energy value for each object pair based on their geometric relationship. The posegraph solver then minimizes a total energy value by modifying one or more poses and then generates an improved set of pose trajectories based on the modified one or more poses.