Adobe, Inc.

Neolane Sas

Anmol Dhawan

Sachin Soni

Ashish Duggal

Ganesh Sahai

Sachin Gaur

Stephane Moreau

Stéphane Moreau

Kevin Gary Smith

Russell Robert Stringham

Walter Chang

Walter Wei-Tuh Chang

Vineet Sharma

Vikas Yadav

Gregg Darryl Wilensky

Amol Jindal

Olivier Sirven

Anuj Jain

Joseph Tighe

Shailendra Singh Rathore

Suryadeep Kumar Agrawal

Richard Coencas

Viswanathan Swaminathan

Sanjeev Tagra

Srinivasa Madhava Phaneendra Angara

Cedric Huesler

Lance Lewis

Vikas Sharma

Aman Gupta

John Thomas Kucera

Martin Buergi

Tobias Martin Bocanegra Alvarez

Ujjaval Kumar Singh

Christopher Philip Clevenger

Shubham Gupta

Atul Aggarwal

Vishal Verma

Rahul Kesharwani

Anant Jain

Vivek Mishra

Neha Sharan

Animesh Bhargava

Alok Pandey

Varun Maini

Srinivasa Madhava Phaneen Angara

The present disclosure is directed towards methods and systems for providing relevant video scenes in response to a video search query. The systems and methods identify a plurality of key frames of a media object and detect one or more content features represented in the plurality of key frames. Based on the one or more detect content features, the systems and methods associate tags indicating the detected content features with the plurality of key frames of the media object. The systems and methods, in response to receiving a search query including search terms, compare the search terms with the tags of the selected key frames, identify a selected key frame that depicts at least one content feature related to the search terms, and provide a preview image of the media item depicting the at least one content feature.

Providing relevant cover frame in response to a video search query

A digital medium environment is described to recommend a transition from use of a limited-functionality application to a full-functionality application. As described herein, the limited-functionality application includes a subset of the functionalities of the full-functionality application. Interactions by a user with a limited-functionality application to generate or edit a creation (e.g., a photo, video, or document) are monitored. Based on the interactions, it is determined that the user needs a functionality for the creation that is not available in the limited-functionality application but is supported by the full-functionality application. A recommendation to transition the creation to the full-functionality application that supports the functionality is displayed. The recommendation may include a selectable control that, when selected, causes the creation to be transitioned to the full-functionality application to enable the functionality to be applied to the creation.

Recommending a transition from use of a limited-functionality application to a full-functionality application in a digital medium environment

Offline consumer behavior and interactions are observed using beacons positioned at venues where consumers spend time and interact with each other. The beacons communicate with mobile computing devices that are carried by the observed consumers. The observed consumer behavior provides actionable insights into how consumers influence each other. For example, the people that a particular consumer spends time with form a 'circle of influence' associated with that consumer. If the consumer makes a purchase, members of the circle of influence are observed to understand the degree to which they were influenced by the purchase, if at all. Metrics that quantify a consumer's influence over other consumers allow marketers to more effectively target both the influencing and influenced consumers. Also, if relatively little information is known about a particular consumer, that consumer's digital marketing profile can be supplemented using information known about the consumers with whom he/she often spends time.

Consumer influence analytics with consumer profile enhancement

Approaches are described for ranking images against image effects. An image effect is identified from a plurality of image effects. Each image effect includes instructions defining steps of modifying visual data of an input image to produce an output image. Preview images are generated, where for each data object of a plurality of data objects the instructions of the image effect are applied to a respective image corresponding to the data object to generate a preview image of the data object. Ranking scores are determined, where for each data object visual data of the respective image is analyzed using a set of evaluation criteria associated with the image effect to determine a ranking score of the image effect for the data object. Data is transmitted which causes at least one of the preview images to be presented on a user device based on the ranking scores.

Ranking images based on image effects

Systems and methods are disclosed herein for attributing credit to online consumer touchpoints for a consumer performing an action. The systems and methods involve determining whether a consumer is in a particular environment for an online consumer touchpoint by detecting an external viewing condition for the consumer for the online consumer touchpoint. The systems and methods determine that the consumer performed an action, such as a conversion, following the online consumer touchpoint and additional online consumer touchpoints. An effectiveness of the online consumer touchpoint in the particular environment is determined and used to attribute relative credit to the online consumer touchpoint and the additional online consumer touchpoints for the consumer performing the action.

Attribution that accounts for external viewing conditions

Techniques for generating leads for consumers using IoT devices at brick-and-mortar stores are provided. A retailer can determine a consumer's level of interest in a product and provide information or other benefits to the consumer. In some embodiments, sensor data from at least one of one or more consumer devices or IoT devices are received, the sensor data being indicative of interaction of a consumer with a product. One or more interactions of the consumer with the product are determined based on the received sensor data. An interaction database is searched for an interaction mapped to specific sensor data requirements matching the received sensor data. A leads score is calculated based on the one or more interactions, the leads score indicating an interest level of the consumer in the product. When the leads score exceeds a threshold, a lead is generated for the consumer.

Generating leads using Internet of Things devices at brick-and-mortar stores

Embodiments of the present invention provide systems, methods, and computer storage media directed to providing targeted content related to sentiment associated with products. In one embodiment, content of a referral source from which a user navigates to arrive at a product page having an item of interest is analyzed. A sentiment of the item based on the analysis of the content within the referral source is determined. Based on the sentiment of the item, targeted content related to the item is identified and provided to the user in an effort to reconcile the determined sentiment of the item.

Providing content related to sentiment of product feature

Computer-readable media, computer systems, and computing devices of a method for facilitating providing offers utilizing population densities are provided. In embodiments, a population density for a geographical space is determined based on locations of a plurality of user devices. The population density associated with the geographical space is used to determine to provide an electronic offer to a user. The electronic offer may be associated with an item in the geographical space to entice the user to move to the geographical space. In accordance with determining to provide an electronic offer to the user, the electronic offer is provided for viewing by the user via a user device.

Utilizing population density to facilitate providing offers

Embodiments of the present invention provide systems, methods, and computer storage media directed to providing targeted content related to sentiment associated with products. In one embodiment, an item is detected as being positioned in a physical shopping cart at a first time, the physical shopping cart being use by a user having a user device. At a second time after the first time, the item is detected as being removed from the physical shopping cart. Based on detecting the item as being removed from the physical shopping cart, content related to the item is provided to the user device of the user, the content intended to result in the user purchasing the item.

Providing content based on abandonment of an item in a physical shopping cart

A method for recommending hashtags includes determining keywords from a post planned for publishing by a publisher. An input criteria comprising at least one of age group, geographical location, date range, or a keyword is received. Previous posts associated with the keywords and satisfying the input criteria are obtained. The previous posts are categorized into one or more categories based on sentiment of each post and for each category hashtags used in the obtained previous posts in that category are determined. The hashtags are ranked based on predefined criteria comprising at least one of frequency of appearance of respective hashtag in posts, number of likes or shares or retweets of post comprising respective hashtag, number of followers of person who used respective hashtag, or sentiment of post comprising respective hashtag. The hashtags are then recommended, based on ranking, to the publisher for use with the post planned for publishing.

Ranking and recommending hashtags

Gauging consumer interest of in-person visitors is described. In one or more embodiments, a promotional apparatus having a display screen and a wireless beacon is deployed at a venue. The promotional apparatus presents a video having multiple video segments. During the presentation, the beacon and a mobile device of a venue visitor communicate wirelessly to determine a proximity of the visitor to the display screen. Multiple distances are determined at multiple times. A path of movement can be determined from the distances over time. If the visitor alters a direction of travel to veer toward the screen or stops walking close to the screen, a system infers that the video has engaged the visitor's attention. By linking particular video segments to times at which the mobile device is proximate to the display screen, the system can further infer consumer interest in specific product features being shown at those times.

Gauging consumer interest of in-person visitors

Certain embodiments involve generating recolored collages. For example, a method includes receiving a first image from and a second image. The method also includes grouping color hues within the first image into a first color hue cluster, and grouping color hues within the second image into a second color hue cluster. Further, the method includes determining that a first hue center of the first color hue cluster is within a distance range of a second hue center of the second color hue cluster. Additionally, the method includes generating a first recolored image by recoloring pixels of the first image having color hues outside the first color hue cluster and generating a second recolored image by recoloring pixels of the second image having color hues outside the second color hue cluster. Moreover, the method includes outputting a recolored collage including the first recolored image and the second recolored image.

Recolored collage generation based on color hue distances

An interactive email experience is customized to the recipient's interests by modifying rich media components provided by the email based on the recipient's interactions with other rich media components from the email. To facilitate the interactive email experience, rich media components are provided by a marketer for an email campaign with mapping information mapping product features to portions of the rich media components. When an email is sent with links to the rich media components, the recipient's interactions with a rich media component is tracked. Product features are ranked based on the recipient's interactions with various portions corresponding with the various product features. The product feature rankings are then used to modify other rich media components from the email to emphasize portions of the other rich media components corresponding with product features of interest to the recipient.

Modifying rich media components for an interactive email

Systems and methods are provided for intelligently adapting content presented in electronic forms. In some embodiments, a processor provides access to multiple instances of a first version of an electronic form by multiple clients based on determining that insufficient data exists in a data source for a category of information. The first version of the form can include content for soliciting data associated with the category of information. The processor can receive responsive electronic communications in response to providing access to the first version of the form. The processor can provide access to multiple instances of a second version of the electronic form by multiple clients based on determining from the received responses whether sufficient data exists for the category of information. The second version of the electronic form can omit or replace the content for soliciting data associated with the category of information.

Adaptive modification of content presented in electronic forms

The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing composition effect tutorials for creating and editing digital content based on a metadata composite structure. For example, the disclosed systems can generate and/or access a metadata composite structure that includes nodes corresponding to composition effects applied to a digital content item, where a given node can include location information indicating where a composition effect is applied relative to a digital content item. The disclosed systems can further generate a tutorial to guide a user to implement a selected composition effect by identifying composition effects of nodes that correspond to a location selected within a composition interface and presenting instructions for a particular composition effect.

Generating and providing composition effect tutorials for creating and editing digital content

Growing community of inventors

Ghaziabad, India

Anmol Dhawan