Patents Assigned to Adobe Systems Incorporated
  • Publication number: 20190130356
    Abstract: 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 creation based on the data included in the creative briefs. For instance, the service provider system provides service by leveraging the descriptive data configured according to the set of rules defined by the schema, which specify particular attributes that are to be instantiated to describe digital content creation projects. Examples of these attributes include a brief identifier, a brief name, associated products or services, creative spend, expected performance, audience demographics, delivery channels, mood, and so forth.
    Type: Application
    Filed: November 1, 2017
    Publication date: May 2, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Govind P. Balakrishnan, Pradeep Saikalyanachakravarthi Javangula, Oliver Isaac Goldman, Kevin Gary Smith
  • Publication number: 20190130458
    Abstract: 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 included in the creative briefs. For instance, the service provider system provides service by leveraging the descriptive data configured according to the set of rules defined by the schema, which specify particular attributes that are to be instantiated to describe digital content creation projects.
    Type: Application
    Filed: November 1, 2017
    Publication date: May 2, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Govind P. Balakrishnan, Pradeep Saikalyanachakravarthi Javangula, Oliver Isaac Goldman, Kevin Gary Smith, Ashley Manning Still
  • Publication number: 20190114687
    Abstract: 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 processing, and combines the words into sentences. The sentences are input to a word embedding model to determine feature vector representations describing relationships between the user profile attributes, items, and explicit and implicit interactions. From the feature vector representations, the recommendation system ascertains a similarity between different features.
    Type: Application
    Filed: October 17, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Balaji Krishnamurthy, Nikaash Puri
  • Publication number: 20190114818
    Abstract: 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 of the digital image to different locations for performing the image editing operation. Pixel values of the digital image are copied to the image pixels affected by the operation by: determining the vectors pixels that correspond to the image pixels affected by the image editing operation and mapping the pixel values of the image pixels represented by the determined offset vectors to the affected pixels.
    Type: Application
    Filed: October 16, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Zhe Lin, Xin Lu, Xiaohui Shen, Jimei Yang, Jiahui Yu
  • Publication number: 20190114795
    Abstract: 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 on whether an ambiguity is determined. An ambiguity is determined when not all image sections included in the scans are matched by shape, or are redundantly matched. A composite image is reassembled from the image sections based on matching image sections. Furthermore, a composite image is repaired by adding material to the composite image from an additional image (e.g., an image other than the composite image and the image sections).
    Type: Application
    Filed: October 18, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Tushar Rajvanshi, Sourabh Gupta, Ajay Bedi
  • Publication number: 20190114748
    Abstract: 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 discriminative neural networks detect whether the filled digital image and the hole-filling digital content correspond to or include computer-generated content or are photo-realistic. The generating and detecting are iteratively continued until the discriminative neural networks fail to detect computer-generated content for the filled digital image and hole-filling content or until detection surpasses a threshold difficulty.
    Type: Application
    Filed: October 16, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Zhe Lin, Xin Lu, Xiaohui Shen, Jimei Yang, Jiahui Yu
  • Publication number: 20190114672
    Abstract: 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 learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.
    Type: Application
    Filed: October 16, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Thomas William Randall Jacobs, Peter Raymond Fransen, Kevin Gary Smith, Kent Andrew Edmonds, Jen-Chan Jeff Chien, Gavin Stuart Peter Miller
  • Publication number: 20190114663
    Abstract: 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 generates outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective items of digital marketing content. Additionally, the analytics system generates a recommendation to configure a subsequent item of digital marketing content based on the outcome data. The recommendation is based on the likely effect of the different ones of the plurality of components, to generate more effective digital marketing content items for digital marketing campaigns.
    Type: Application
    Filed: October 12, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Oliver Isaac Goldman, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Pradeep Saikalyanachakravarthi Javangula, Ashley Manning Still
  • Publication number: 20190114151
    Abstract: 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 learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.
    Type: Application
    Filed: October 16, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Thomas William Randall Jacobs, Peter Raymond Fransen, Kevin Gary Smith, Kent Andrew Edmonds, Jen-Chan Jeff Chien, Gavin Stuart Peter Miller
  • Publication number: 20190114680
    Abstract: 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.
    Type: Application
    Filed: October 13, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Jen-Chan Jeff Chien, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Peter Raymond Fransen, Gavin Stuart Peter Miller, Ashley Manning Still
  • Publication number: 20190114664
    Abstract: 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 identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system generates data identifying different aspects that likely had an effect on the achieving an action on the items of digital marketing content, such as components of the items of digital marketing content, environments of consumption, channels of consumption. The analytics system outputs a result based on the data in a user interface.
    Type: Application
    Filed: October 12, 2017
    Publication date: April 18, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Oliver Isaac Goldman, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Pradeep Saikalyanachakravarthi Javangula, Ashley Manning Still
  • Publication number: 20190110038
    Abstract: 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 correct parallax. Examples of these techniques include depth filtering, boundary identification, smear detection, mesh cutting, confidence estimation, blurring, and error diffusion as further described in the following sections.
    Type: Application
    Filed: October 11, 2017
    Publication date: April 11, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Stephen Joseph DiVerdi, Ana Belén Serrano Pacheu, Aaron Phillip Hertzmann
  • Publication number: 20190108250
    Abstract: 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 service provider system provide digital content components for incorporation with digital content. Component requests also describe a timing basis with which digital content components are to be provided as updates. By way of example, the timing basis may correspond to a time interval (e.g., daily, weekly, monthly, seasonally, times of day, and so on), receiving user input in relation to the digital content (e.g., a navigation input to a web page), and so forth.
    Type: Application
    Filed: October 5, 2017
    Publication date: April 11, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Publication number: 20190108657
    Abstract: 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. Each color plane can be dilated and then one or more of the color planes or masks can be down sampled and then used to synthesize a source image which provides an approximated source image which retains the hard edges of the original image.
    Type: Application
    Filed: October 10, 2017
    Publication date: April 11, 2019
    Applicant: Adobe Systems Incorporated
    Inventor: Scott Edward Petersen
  • Publication number: 20190108288
    Abstract: 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 service provider system receives a component request, requesting that the service provider system provide the digital content components for incorporation with the digital content. The component request specifies fixed and variable content attributes for the provided digital content components. A fixed content attribute is an attribute that is to be included in the provided digital content components.
    Type: Application
    Filed: October 5, 2017
    Publication date: April 11, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Publication number: 20190108665
    Abstract: 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 service for synchronization with a remote representation of the digital image file.
    Type: Application
    Filed: October 5, 2017
    Publication date: April 11, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Russell Thomas Williams, Habib Khalfallah, Jan Stoeckmann, Alan Lee Erickson
  • Patent number: 10255371
    Abstract: Systems and methods are disclosed for clustering multiple devices that are associated with particular users by utilizing both probabilistic and deterministic data derived from analytics information on the users. An analytics computing system generates at least one deterministic device cluster that groups a first set of devices associated with a first user. The first set of devices share deterministic user identifiers specific to the first user. The analytics computing system also identifies a probabilistic link between a device in the first set of devices and additional devices. The probabilistic link indicates common usage patterns between two devices. Based on the probabilistic link, the analytics computing system generates a data structure that includes the deterministic device cluster and the additional devices.
    Type: Grant
    Filed: September 19, 2016
    Date of Patent: April 9, 2019
    Assignee: Adobe Systems Incorporated
    Inventors: Karthik Raman, Nedim Lipka, Matvey Kapilevich
  • Patent number: 10257436
    Abstract: Various embodiments describe view switching of video on a computing device. In an example, a video processing application receives a stream of video data. The video processing application renders a major view on a display of the computing device. The major view presents a video from the stream of video data. The video processing application inputs the stream of video data to a deep learning system and receives back information that identifies a cropped video from the video based on a composition score of the cropped video, while the video is presented in the major view. The composition score is generated by the deep learning system. The video processing application renders a sub-view on a display of the device, the sub-view presenting the cropped video. The video processing application renders the cropped video in the major view based on a user interaction with the sub-view.
    Type: Grant
    Filed: October 11, 2017
    Date of Patent: April 9, 2019
    Assignee: Adobe Systems Incorporated
    Inventors: Jianming Zhang, Zijun Wei, Zhe Lin, Xiaohui Shen, Radomir Mech
  • Patent number: 10249052
    Abstract: Stereo correspondence model fitting techniques are described. In one or more implementations, a model may be fit to a region in at least one of a plurality of stereoscopic images of an image scene. The model may then be used as part of a stereo correspondence calculation, which may include computing disparities for the region based at least in part on correspondence to the model.
    Type: Grant
    Filed: December 19, 2012
    Date of Patent: April 2, 2019
    Assignee: Adobe Systems Incorporated
    Inventors: Scott D. Cohen, Brian L. Price, Chenxi Zhang
  • Publication number: 20190095949
    Abstract: 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 network system. Natural language processing techniques are then performed as part of machine learning to detect interest of a user population associated with the social network communications.
    Type: Application
    Filed: September 26, 2017
    Publication date: March 28, 2019
    Applicant: Adobe Systems Incorporated
    Inventors: Jen-Chan Jeff Chien, Thomas William Randall Jacobs, Kent Andrew Edmonds, Kevin Gary Smith, Peter Raymond Fransen