Creative Brief-Based Content Creation
Granted: May 2, 2019
Application Number:
20190130458
Creative brief-based content creation is described. A service provider system, such as a creative service provider system, supports the creation of digital content in connection with digital content creation projects. Initially, the service provider system defines a schema as a set of rules for controlling configuration of creative briefs to register digital content creation projects. The service provider system provides service to support digital content creation based on the data…
Creative Brief Schema
Granted: May 2, 2019
Application Number:
20190130356
A creative brief schema is described. A service provider system, such as a creative service provider system, supports the creation of digital content in connection with digital content creation projects by employing the creative brief schema. Initially, the service provider system defines the schema as a set of rules for controlling configuration of creative briefs to register digital content creation projects. The service provider system provides service to support digital content…
Digital Media Environment for Analysis of Components of Content in a Digital Marketing Campaign
Granted: April 18, 2019
Application Number:
20190114663
Techniques and systems are described for analyzing components of digital marketing content as part of a digital marketing campaign. A computing device of an analytics system receives user interaction data that describes an effect of user interaction with a plurality of items of digital marketing content on achieving an action. The analytics system identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system then…
Predicting Patch Displacement Maps Using A Neural Network
Granted: April 18, 2019
Application Number:
20190114818
Predicting patch displacement maps using a neural network is described. Initially, a digital image on which an image editing operation is to be performed is provided as input to a patch matcher having an offset prediction neural network. From this image and based on the image editing operation for which this network is trained, the offset prediction neural network generates an offset prediction formed as a displacement map, which has offset vectors that represent a displacement of pixels…
Reassembling and Repairing Torn Image Pieces
Granted: April 18, 2019
Application Number:
20190114795
A digital medium environment includes at least one computing device. Systems and techniques are described herein for reassembling and repairing image sections (e.g., torn pieces of an image) by generating masks for the image sections that do not include content of the image sections, and matching image sections along contours (e.g., edges or sides of the image sections) based on shapes of the masks, features of content extracted from the image sections, or combinations thereof, depending…
Digital Image Completion Using Deep Learning
Granted: April 18, 2019
Application Number:
20190114748
Digital image completion using deep learning is described. Initially, a digital image having at least one hole is received. This holey digital image is provided as input to an image completer formed with a framework that combines generative and discriminative neural networks based on learning architecture of the generative adversarial networks. From the holey digital image, the generative neural network generates a filled digital image having hole-filling content in place of holes. The…
Global Vector Recommendations Based on Implicit Interaction and Profile Data
Granted: April 18, 2019
Application Number:
20190114687
A digital medium environment is described to facilitate recommendations based on vectors generated using feature word embeddings. A recommendation system receives data that describes at least one attribute for a user profile, at least one item, and an interaction between the user profile and the at least one item. The recommendation system associates each user profile attribute, each item, and each interaction between a user profile and an item as a word, using natural language…
Customized Placement of Digital Marketing Content in a Digital Video
Granted: April 18, 2019
Application Number:
20190114680
Techniques and system are described to control output of digital marketing content with respect to a digital video that address the added complexities of digital video over other types of digital content, such as webpages. In one example, the techniques and systems are configured to control a time, at which, digital marketing content is to be output with respect to the digital video, e.g., by selecting a commercial break or output as a banner ad in conjunction with the video.
Digital Content Control based on Shared Machine Learning Properties
Granted: April 18, 2019
Application Number:
20190114672
Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine…
Digital Media Environment for Analysis of Audience Segments in a Digital Marketing Campaign
Granted: April 18, 2019
Application Number:
20190114664
Techniques and systems are described to enable users to optimize a digital marketing content system by analyzing an effect of components of digital marketing content on audience segments, environments of consumption, and channels of consumption. A computing device of an analytics system receives user interaction data describing an effect of user interaction with multiple items of digital marketing content on achieving an action for multiple audience segments. The analytics system…
Application Digital Content Control using an Embedded Machine Learning Module
Granted: April 18, 2019
Application Number:
20190114151
Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine…
Virtual Reality Parallax Correction
Granted: April 11, 2019
Application Number:
20190110038
Virtual reality parallax correction techniques and systems are described that are configured to correct parallax for VR digital content captured from a single point of origin. In one example, a parallax correction module is employed to correct artifacts caused in a change from a point of origin that corresponds to the VR digital content to a new viewpoint with respect to an output of the VR digital content. A variety of techniques may be employed by the parallax correction module to…
Component-based Digital Image Synchronization
Granted: April 11, 2019
Application Number:
20190108665
Techniques and systems for component-based digital image synchronization are described. In one example, a digital image is stored as a composite file with a number of separately compressed individual components. Indicators are generated during an editing process of a digital image. The indicators are usable to correlate altered portions of the digital image with compressed components of the composite digital image file. The altered components are then communicated to a synchronization…
Using Signed Distance Fields in Multicolored Vector Approximation
Granted: April 11, 2019
Application Number:
20190108657
Techniques and systems are described in which signed distance fields (SDFs) can be used to approximate multicolored vector art. A source image, represented as multicolored vector art is received and processed to provide a multicolored planar graph. The graph is processed to provide a SDF mask for each of the colors in the graph. For each of the colors in the graph, a color plane is generated, paired with the corresponding mask and represents the source image's color underneath the mask.…
Attribute Control for Updating Digital Content in a Digital Medium Environment
Granted: April 11, 2019
Application Number:
20190108288
Attribute control for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components based on fixed and variable attributes specified for these digital content components. Initially, the…
Update Basis for Updating Digital Content in a Digital Medium Environment
Granted: April 11, 2019
Application Number:
20190108250
An update basis for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components according to an update basis described in a component request. In part, component requests ask that the…
Automatic Design Discrepancy Reporting
Granted: March 28, 2019
Application Number:
20190095292
A digital medium environment is described for automatic design discrepancy reporting of discrepancies between an actual display and its intended design. In one example, a design validation system generates a design screen model for a design screen, based on an object included in the design screen and at least one display property that defines a visual appearance of the object. The design validation system then identifies an application object that has a similar visual appearance to the…
Digital Paint Generation Feedback
Granted: March 28, 2019
Application Number:
20190096096
Digital paint generation techniques and systems are described that are configured to bridge a perceived divide between functionality made available to users to create digital image and the users' understanding as to how this functionality is to be used. A variety of techniques and systems are described that support this expansion. In one example, a control is used to adjust color and/or physical digital paint properties to generate digital paint. Further, feedback is also supported such…
Digital Marketing Content Control based on External Data Sources
Granted: March 28, 2019
Application Number:
20190095949
Techniques and system are described to control output of digital marketing content with respect to digital content. This is achieved by leveraging additional insight that may be gained from external service systems that describe the digital content, e.g., social network systems, digital content review systems, and so forth. In one example, the techniques and systems are configured to collect social network data that describes social network communications communicated via a social…
Constraining Memory Use for Overlapping Virtual Memory Operations
Granted: March 28, 2019
Application Number:
20190095326
Constraining memory use for overlapping virtual memory operations is described. The memory use is constrained to prevent memory from exceeding an operational threshold, e.g., in relation to operations for modifying content. These operations are implemented according to algorithms having a plurality of instructions. Before the instructions are performed in relation to the content, virtual memory is allocated to the content data, which is then loaded into the virtual memory and is also…
