Abstract: Systems, methods, and non-transitory computer-readable media can identify a virtual character being presented to a user within a real-time immersive environment. A first animation to be applied to the virtual character is determined. A nonverbal communication animation to be applied to the virtual character simultaneously with the first animation is determined. The virtual character is animated in real-time based on the first animation and the nonverbal communication animation.

Abstract: Systems, methods, and non-transitory computer-readable media can receive virtual model information associated with a virtual deformable geometric model. The virtual model information comprises a complex rig comprising a plurality of transforms and a first plurality of vertices defined by a default model, and a simplified rig comprising a second plurality of transforms and a second plurality of vertices. The second plurality of vertices correspond to the first plurality of vertices defined by the default model. The simplified rig and the complex rig are deformed based on an animation to be applied to the virtual deformable geometric model. A set of offset data is calculated. The set of offset data comprises, for each vertex in the first plurality of vertices, an offset between the vertex and a corresponding vertex in the second plurality of vertices.

Abstract: Systems, methods, and non-transitory computer-readable media can receive virtual model information associated with a virtual deformable geometric model. The virtual model information comprises a complex rig comprising a plurality of transforms and a first plurality of vertices defined by a default model, and a simplified rig comprising a second plurality of transforms and a second plurality of vertices corresponding to the first plurality of vertices. The simplified rig and the complex rig are deformed based on an animation to be applied to the virtual deformable geometric model. A set of offset data is calculated. The set of offset data comprises, for each vertex in the first plurality of vertices, an offset between the vertex and a corresponding vertex in the second plurality of vertices. A compressed version of the set of offset data is exported to a real-time processing engine for real-time animation of the virtual deformable geometric model.

Abstract: Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to receive at least one database query to be executed. Code corresponding to the at least one database query can be generated. One or more optimizations to the generated code can be performed to produce specialized modular code. The one or more optimizations can include Just-In-Time (JIT) compilation techniques. Respective portions of the code can be distributed to a plurality of distributed computing systems for execution, wherein each of the distributed computing systems is connected to a portion of the plurality of distributed computing systems. A result for the at least one database query can be provided.

Abstract: Various embodiments can include systems, methods, and non-transitory computer readable media configured to receive at least one operation to be performed using (i) first data that is managed by a first computing system and (ii) second data that is managed by a second computing system, the operation being received through an interface provided by the computing system, and wherein the operation is based at least in part on a Structured Query Language (SQL). At least one optimization can be performed based at least in part on the operation. The operation can be executed using at least the first data and the second data. A result generated can be provided upon executing the operation through the interface provided by the computing system. The computing system, the first computing system, and the second computing system are each able to concurrently process, access, and create at least a portion of the generated result.

Abstract: The techniques introduced here include a system and method for transcoding multimedia content based on the results of content analysis. The determination of specific transcoding parameters, used for transcoding multimedia content, can be performed by utilizing the results of content analysis of the multimedia content. One of the results of the content analysis is the determination of image type of any images included in the multimedia content. The content analysis uses one or more of several techniques, including analyzing content metadata, examining colors of contiguous pixels in the content, using histogram analysis, using compression distortion analysis, analyzing image edges, or examining user provided inputs. Transcoding the multimedia content can include adapting the content to the constraints in delivery and display, processing and storage of user computing devices.

Abstract: In one embodiment, a method includes receiving a plurality of image transformations in a user-selected ordering and applying one or more ordering cost functions to one or more possible orderings of the plurality of image transformations. Each ordering cost function includes a plurality of transformation cost functions, with each transformation cost function being associated with an image transformation. The method further includes determining computing costs for each of the one or more applied ordering cost functions, and selecting from the one or more possible orderings of the plurality of image transformations, an optimal ordering of the plurality of image transformations based on the determined computing costs.

Abstract: A texture repository is provided for use with an image manipulation application. The texture repository provides a canvas to the image manipulation application for use with an image filter. The texture repository may provide an existing canvas matching the request from the image filter, or the texture repository may generate a new canvas for the request. The generated canvas may be procedurally generated to match the request, or the generated canvas may be resized from an existing canvas stored in a non-volatile storage or a cache.

Abstract: In one embodiment, a method comprises accessing a plurality of images stored in a data store, and for a first image of the plurality of images, determining a color distribution of the first image, wherein the color distribution of the first image is based on a frequency of one or more colors depicted in the first image. The method further comprises, based on the color distribution of the first image, assigning the first image to a particular image class, wherein the particular image class further comprises a second image, wherein the assigning of the second image to the particular image class is further based on a color distribution of the second image. The method further comprises based on at least the first image and the particular image class, determining a particular color profile, assigning the particular color profile to the first image and the second image.

Abstract: A texture repository is provided for use with an image manipulation application. The texture repository provides a canvas to the image manipulation application for use with an image filter. The texture repository may provide an existing canvas matching the request from the image filter, or the texture repository may generate a new canvas for the request. The generated canvas may be procedurally generated to match the request, or the generated canvas may be resized from an existing canvas stored in a non-volatile storage or a cache.

Abstract: In one embodiment, an image containing a number of colors is received. The image is divided into a number of sections, and an importance value is determined for each section. For each section of the image, a frequency of each color is determined. For each color in the image, a weighted score is calculated based on the frequency of that color in a particular section, and the importance value in the particular section. The weighted scores are used to adjust an error metric used to determine an approximation function for a color profile to transform the image from a first color space to a second color space, where the error metric measures the difference between the approximation function and an ideal function curve for the transformation.

Abstract: Techniques to allow for optimizing an image based on an operational context. An operational context including at least one attribute of a client associated with a user of a social networking system is determined. An optimized image is created based on the operational context for provision to the user. The determining the operational context may comprise receiving a client identifier and determining the at least one attribute of the client based on the client identifier. The determining the operational context may comprise receiving location coordinates and determining quality of a data connection based on the location coordinates. The determining the operational context may comprise determining at least one usage trend in at least one geographic locality. The optimized image is provided to an image repository associated with the at least one geographic locality. The operational context may comprise at least one user-defined setting.

Abstract: A texture repository is provided for use with an image manipulation application. The texture repository provides a canvas to the image manipulation application for use with an image filter. The texture repository may provide an existing canvas matching the request from the image filter, or the texture repository may generate a new canvas for the request. The generated canvas may be procedurally generated to match the request, or the generated canvas may be resized from an existing canvas stored in a non-volatile storage or a cache.

Abstract: The techniques introduced here include a system and method for transcoding multimedia content based on the results of content analysis. The determination of specific transcoding parameters, used for transcoding multimedia content, can be performed by utilizing the results of content analysis of the multimedia content. One of the results of the content analysis is the determination of image type of any images included in the multimedia content. The content analysis uses one or more of several techniques, including analyzing content metadata, examining colors of contiguous pixels in the content, using histogram analysis, using compression distortion analysis, analyzing image edges, or examining user provided inputs. Transcoding the multimedia content can include adapting the content to the constraints in delivery and display, processing and storage of user computing devices.

Abstract: The techniques introduced here include a system and method for transcoding multimedia content based on the results of content analysis. The determination of specific transcoding parameters, used for transcoding multimedia content, can be performed by utilizing the results of content analysis of the multimedia content. One of the results of the content analysis is the determination of image type of any images included in the multimedia content. The content analysis uses one or more of several techniques, including analyzing content metadata, examining colors of contiguous pixels in the content, using histogram analysis, using compression distortion analysis, analyzing image edges, or examining user provided inputs. Transcoding the multimedia content can include adapting the content to the constraints in delivery and display, processing and storage of user computing devices.

Abstract: In one embodiment, a method includes receiving a plurality of image transformations in a user-selected ordering and applying one or more ordering cost functions to one or more possible orderings of the plurality of image transformations. Each ordering cost function includes a plurality of transformation cost functions, with each transformation cost function being associated with an image transformation. The method further includes determining computing costs for each of the one or more applied ordering cost functions, and selecting from the one or more possible orderings of the plurality of image transformations, an optimal ordering of the plurality of image transformations based on the determined computing costs.

Abstract: Techniques to optimize the ordering of image transformations. Ordering cost functions are applied to possible transformation orderings of image transformations of a user-selected transformation ordering. Computing costs are calculated based on the cost functions. An optimal transformation ordering is selected from the possible transformation orderings based on the computing costs. In one embodiment, a first transformation and a second transformation of the user-selected transformation ordering are swapped. In one embodiment, at least one of the ordering cost functions is based on a per-pixel cost value. In one embodiment, a fidelity loss threshold representing an acceptable level of difference between a first image resulting from the optimal transformation ordering and a second image resulting from the user-selected transformation ordering is determined. In one embodiment, selection of the optimal ordering transformation is based on satisfaction of the fidelity loss threshold.

Abstract: The techniques introduced here include a system and method for transcoding multimedia content based on the results of content analysis. The determination of specific transcoding parameters, used for transcoding multimedia content, can be performed by utilizing the results of content analysis of the multimedia content. One of the results of the content analysis is the determination of image type of any images included in the multimedia content. The content analysis uses one or more of several techniques, including analyzing content metadata, examining colors of contiguous pixels in the content, using histogram analysis, using compression distortion analysis, analyzing image edges, or examining user provided inputs. Transcoding the multimedia content can include adapting the content to the constraints in delivery and display, processing and storage of user computing devices.

Abstract: In one embodiment, an image containing a number of colors is received. The image is divided into a number of sections, and an importance value is determined for each section. For each section of the image, a frequency of each color is determined. For each color in the image, a weighted score is calculated based on the frequency of that color in a particular section, and the importance value in the particular section. The weighted scores are used to adjust an error metric used to determine an approximation function for a color profile to transform the image from a first color space to a second color space, where the error metric measures the difference between the approximation function and an ideal function curve for the transformation.

Abstract: The techniques introduced here include a system and method for transcoding multimedia content based on the results of content analysis. The determination of specific transcoding parameters, used for transcoding multimedia content, can be performed by utilizing the results of content analysis of the multimedia content. One of the results of the content analysis is the determination of image type of any images included in the multimedia content. The content analysis uses one or more of several techniques, including analyzing content metadata, examining colors of contiguous pixels in the content, using histogram analysis, using compression distortion analysis, analyzing image edges, or examining user provided inputs. Transcoding the multimedia content can include adapting the content to the constraints in delivery and display, processing and storage of user computing devices.