Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating target products for a product search based on gesture input received via a digital canvas. For example, the disclosed systems can utilize digital image classification models to generate product sets based on individual visual product features of digital images of products. The disclosed systems can further receive gesture input within a digital canvas indicating visual product features. In addition, the disclosed systems can compare the gesture input of the digital canvas with representative digital images of product sets generated by particular classification models to identify product sets that include the indicated visual product features. Further, the disclosed systems can provide target products from the identified product sets for display via a product search interface website.

Abstract: Navigating a video recording based on changes in views of the recording's visual content is described. A content-based navigation system receives a recording including visual content and audio content. The content-based navigation system then determines a content scale for navigating the recording relative to an overall number of new or updated views of visual content during playback of the recording. Given the content scale, the content-based navigation system generates a content navigation control that enables navigating the recording at a granularity defined by the overall number of new or updated views of the recording's visual content. Navigation via the content navigation control is thus independent of time between changes to views of the recording's visual content during playback. Input to the content navigation control causes output of a different view of the recording's visual content, and optionally causes output of audio content synchronized with the different view of visual content.

Abstract: In implementations of a visitor engagement detection and control system for online sessions with a listing platform, a computing device implements a visitor engagement system to monitor user actions by the visitors with items listed by the listing platform, and map the user actions and the items listed by the listing platform to a timeline of the online session. An engagement module determines levels of visitor engagement in the online session based on the mapping of the user actions and the items, and initiates communication with a low-engagement visitor during the online session to increase an engagement level of the low-engagement visitor. In some cases, a communication is then established between the low-engagement visitor and a different low-engagement visitor, an engaged visitor, or an administrator of the listing platform.

Abstract: Systems and methods for removing objects from images are disclosed. An image processing application identifies a boundary of each object of a set of objects in an image. In some cases, the identification uses deep learning. The image processing application identifies a completed boundary for each object of the set of objects by providing the object to a trained model. The image processing application determines a set of masks. Each mask corresponds to an object of the set of objects and represents a region of the image defined by an intersection of the boundary of the object and the boundary of a target object to be removed from the image. The image processing application updates each mask by separately performing content filling on the corresponding region. The image processing application creates an output image by merging each of the updated masks with portions of the image.

Abstract: In implementations of jointly editing related objects in a digital image, an image editing application segments a first object in a digital image, and an additional object corresponding to the first object, such a shadow cast by the first object, a reflection of the first object, or an object of a same object class as the first object. Respective stick diagrams for the first object and the additional object are generated, and a mapping of the first object to the additional object is generated based on the stick diagrams. Based on a user request to edit the first object, such as to warp the first object, the first object and the additional object are jointly edited based on the mapping. Accordingly, realistic digital images are efficiently generated that maintain correspondence between related objects, without requiring a user to edit each object individually, thus saving time and resources.

Abstract: In implementations of a participant engagement detection and control system for online sessions, a computing device implements a participant engagement system to monitor user actions of participants during an online session, and track engagement levels of the participants by mapping the user actions and content of the online session to a timeline of the online session. Engagement scores for the participants are determined based on the mapping of the user actions and the content at each time interval of the timeline. Low-engagement participants having a probability of dropping out of the online session are determined based on the engagement scores. Engaging content is selected as determined to increase an engagement level of the low-engagement participants, and the engaging content is communicated to the low-engagement participants. Furthermore, the engaging content and identifiers of the low-engagement participants can be communicated to a presenter of the online session.

Abstract: The present disclosure relates to systems, methods, and computer-readable media that generate a platform-specific representative image (e.g., a thumbnail image) for a digital video that is predicted to effectively engage users of a communication system (e.g., a social media system). For example, systems described herein include identifying keywords and associated engagement scores for the content sharing platform. The systems described herein further include identifying keywords associated with segments of the digital video. The systems can further determine a segment of interest based on the engagement scores for the content sharing platform and a semantic relationship between keywords for the content sharing platform and one or more keywords associated respective segments of the digital video. The system can further determine a representative image that effectively engages users of the sharing platform by determining a representative image from the identified segment of interest.

Abstract: A computer-implemented method for providing performance indicators of destination documents includes identifying a referral document to a destination document, where the referral document comprising a source of at least one visitor to the destination document. The method also includes extracting referral keywords from content of the referral document, the referral keywords corresponding to a referral context of the referral document. The method further includes determining a degree of correlation between the referral document and the destination document based on a comparison between the referral keywords and destination keywords, the destination keywords corresponding to destination context of the destination document.

Abstract: A computer-implemented method for providing performance indicators of destination documents includes identifying a referral document to a destination document, where the referral document comprising a source of at least one visitor to the destination document. The method also includes extracting referral keywords from content of the referral document, the referral keywords corresponding to a referral context of the referral document. The method further includes determining a degree of correlation between the referral document and the destination document based on a comparison between the referral keywords and destination keywords, the destination keywords corresponding to destination context of the destination document.