Abstract: The disclosure relates to tools and methods for creating synthetic images with photo-realistic images. The disclosed face generation technology focuses on photo-realistic results by leveraging analysis of a pool of pre-selected images based on a user selection and preferences. The tools and methods as described herein include limiting the pool of pre-selected images by one or more criteria, including, for example, but not limited to gender, age, skin color, expression, etc. The pre-selection of a more curated pool of images allows a user to include a desired set of criteria and specifications that the user would want in a generated synthetic image or images.

Abstract: The disclosure includes a system and method for determining a three-dimensional (3D) structure from an image including receiving, using one or more processors, a digital surface model (DSM) image; receiving, using the one or more processors, a non-DSM image; outlining, using the one or more processors, a structure in the non-DSM image; and determining, using the one or more processors, a set of features based on the DSM image.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for generating a user-created synthetic image. A method includes receiving input from a user onto a search field, the input relating to a desired image of the user, the search field including a user interface for specifying components of the desired image for display to the user. The method also includes identifying the components of the desired image in stock images, the stock images stored in a database. The method also includes generating the components of the desired image based on the stock images, the components located in user-specified locations of the search field. The method also includes generating the user-created synthetic image comprising the components located in user-specified locations in response to the input from the user relating to the desired image.

Abstract: A method including selecting, in a server, a first image portion from an image is provided. The method also includes identifying one or more known similar images associated with the first image portion, and determining a first score for enhancing the first image portion based on the known similar image(s). The method includes increasing a pixel resolution in the first image portion according to the scale to form an enhanced image portion. The method also includes identifying a synthetic value for the enhanced image portion and storing the enhanced image portion in a database when the synthetic value is below a tolerance value.

Abstract: A method including receiving a first image file in a network server is provided. The method also includes selecting multiple criteria in a test ensemble for the first image file and evaluating a synthetic value for the first image file according to the test ensemble. The method includes storing the first image file and the synthetic value for the first image file in a database, and providing for display the first image file and the synthetic value for the first image file in response to a search query from a user. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

Abstract: The disclosure relates to tools and methods for creating synthetic images with photo-realistic images. The disclosed face generation technology focuses on photo-realistic results by leveraging analysis of a pool of pre-selected images based on a user selection and preferences. The tools and methods as described herein include limiting the pool of pre-selected images by one or more criteria, including, for example, but not limited to gender, age, skin color, expression, etc. The pre-selection of a more curated pool of images allows a user to include a desired set of criteria and specifications that the user would want in a generated synthetic image or images.

Abstract: In the present approach, a master computing system directs slave computing systems in the purchasing of advertising within one or more online advertising channels by building a set of models for predicting the outcome of advertising purchases based on data received from the advertising channels, evaluating those models to determine which one(s) to use, allocating an advertiser's budget across the slave systems and channels for a given time period, and adjusting those allocations during the time period based on performance results received from the slave systems. In turn, the slave systems attempt to purchase advertisements within their channels based on their allocation and adjustments and report performance results back to the master system.

Abstract: Using methods, computer-readable storage media, and apparatuses for computer-implemented processing, a passage of text may be variably rendered. For each glyph in the passage of text, a glyph representation is varied according to a geometric transformation that was determined from statistical measurements of at least one geometric property from an ensemble of representations of the current glyph. Each varied glyph representation is included in renderable output data, such that when the passage of text is rendered to an output device, a given rendered representation of a given glyph subtly differs from other rendered representations of the given glyph.

Abstract: Using methods, computer-readable storage media, and apparatuses for computer-implemented processing, a passage of text may be variably rendered. For each glyph in the passage of text, a glyph representation is varied according to a geometric transformation that was determined from statistical measurements of at least one geometric property from an ensemble of representations of the current glyph. Each varied glyph representation is included in renderable output data, such that when the passage of text is rendered to an output device, a given rendered representation of a given glyph subtly differs from other rendered representations of the given glyph.

Abstract: Using methods, computer-readable storage media, and apparatuses for computer-implemented processing, an image of handwritten text may be segmented into a disjoint component image corresponding to individual glyphs connected by ligatures. The disjoint component image is skeletonized into a grid graph, and a connected path traversing the ligatures is determined. The disjoint component image is segmented into non-overlapping segments based on connected graphs corresponding to edges in the disjoint component image, where sets of adjacent non-overlapping segments correspond to the individual glyphs. Glyph geometry may be varied by obtaining an ensemble of glyph representations, each characterized by measurable geometric glyph properties. For each geometric glyph property, target values are obtained from ensemble-wide statistical distribution functions, and the target values are used to transform a base glyph representation into a target glyph representation.

Abstract: An automatic word segmentation and glyph variation system and method are provided herein.

Abstract: A content targeted advertising performance optimization system and method are provided herein.