Abstract:
The present disclosure is directed toward targeting advertisements to a close-knit group of users. Methods and systems of the present disclosure identify a close-knit group of users or devices based on the use of a concurrent streaming account. The methods and system further include providing an advertisement in conjunction with the content streaming to the devices of the close-knit group to increase the likelihood of a conversion. Optionally, the methods and systems tailor these advertisements based on an age segment of targeted users or based on features engaged by another user of the close-knit group.
Abstract:
Techniques to facilitate image searches using context of an image frame in a document are described. In one or more implementations, an image frame included within a document is detected, such as when the frame is inserted or selected. Content in the document in the vicinity of the image frame is analyzed to derive query terms corresponding to the content. Tag elements created for the query terms are exposed to enable selection of individual query terms as search parameters. An image search is conducted using selected query terms and images returned as results of the search are presented a candidates for insertion into the frame. Previews of images as being inserted in the image frame can be exposed show how the document would look with different images placed in the frame. Selection of a particular image from the arrangement causes insertion of the particular image into the image frame.
Abstract:
In one embodiment, at least one of number of times a frame is paused by a plurality of users (users) and attention-activity of the users for the frame is tracked for each frame of an asset (video etc.). An interactive version of at least one frame is pre-generated based on the tracking. The interactive version is stored to enable playing of the interactive version of the at least one frame. In another embodiment, pausing of a currently playing frame (frame) of the asset is determined. A determination to replace the frame is made based on at least one of attention-activity of a user in the frame, and detecting metadata, of the frame, specifying that the frame is to be replaced. An interactive version of the frame is generated, based on at least one of the attention of the user and the metadata, to replace the frame with the interactive version.
Abstract:
Salient video frame establishment is described. In one or more example embodiments, salient frames of a video are established based on multiple photos. An image processing module is capable of analyzing both video frames and photos, both of which may include entities, such as faces or objects. Frames of a video are decoded and analyzed in terms of attributes of the video. Attributes include, for example, scene boundaries, facial expressions, brightness levels, and focus levels. From the video frames, the image processing module determines candidate frames based on the attributes. The image processing module analyzes multiple photos to ascertain multiple relevant entities based on the presence of entities in the multiple photos. Relevancy of an entity can depend, for instance, on a number of occurrences. The image processing module establishes multiple salient frames from the candidate frames based on the multiple relevant entities. Salient frames can be displayed.
Abstract:
A digital medium environment includes an asset processing application that performs editing of a watermarked asset. An improved asset editing method implemented by the asset processing application comprises receiving a watermarked asset, receiving edits to the watermarked asset, storing metadata corresponding to the edits together with an asset identification (ID), communicating the metadata and asset ID, applying edits using the metadata to an unwatermarked version of the asset retrieved using the asset ID, adding a watermark back to the edited asset, and providing the edited, watermarked asset.
Abstract:
Computer-implemented systems and methods disclosed herein disclose features for determining the frequency of exposure to real-world products embedded with Internet-Of-Things (IoT) hardware and determining a comprehensive targeting profile identifying the interests of users based on their exposure to real-world products. A computing device carried by a user wirelessly receives product exposure data from a nearby IoT-enabled device upon entering within a certain proximity of the IoT-enabled device. The computing device further compiles the product exposure data with previous product exposure data for IoT-enabled devices to which the computing device was previously exposed. Based on the compiled product exposure data, a server device determines a frequency of exposure to a product corresponding to the IoT-enabled device over a period of time. The server device further transmits an electronic communication promoting the product corresponding to the IoT-enabled device if the frequency of exposure increases over a threshold value.
Abstract:
Techniques to facilitate image searches using context of an image frame in a document are described. In one or more implementations, an image frame included within a document is detected, such as when the frame is inserted or selected. Content in the document in the vicinity of the image frame is analyzed to derive query terms corresponding to the content. Tag elements created for the query terms are exposed to enable selection of individual query terms as search parameters. An image search is conducted using selected query terms and images returned as results of the search are presented a candidates for insertion into the frame. Previews of images as being inserted in the image frame can be exposed show how the document would look with different images placed in the frame. Selection of a particular image from the arrangement causes insertion of the particular image into the image frame.
Abstract:
Systems and methods are provided for generating multi-image content for online services using a single image. For example, a processor identifies publishing constraints specified for image categories in a profile of an online service. The processor generates a first image by applying a first publishing constraint to a copy of an input image and generates a second image by applying a second publishing constraint to a selected portion of the first image. The processor presents the first and second images in different preview interfaces. The processor applies manipulation effects to the second image that modify the second image independently of modifications to the first image. The manipulation effect is applied to the second in accordance with the second publishing constraint for the second image. The processor uploads the images with the applied manipulation effects to the online service for presentation in the different image categories.
Abstract:
Systems and methods are provided for automatically identifying and healing spots in images. In an embodiment, a method receives, at a computing device, a selection of an area of an image, the area having a center. The method includes calculating, by the computing device, pixel values of pixels in the selected area and determining, based at least in part on the calculated pixel values, a threshold value. The method further includes detecting, based at least in part on comparing pixel values in the selected area to the threshold value, one or more spots in the selected area. The method also includes creating, by the computing device, a mask for the one or more spots. The method replaces pixels in the mask with non-spot pixels.
Abstract:
The present disclosure is directed toward targeting advertisements to a close-knit group of users. Methods and systems of the present disclosure identify a close-knit group of users or devices based on the use of a concurrent streaming account. The methods and system further include providing an advertisement in conjunction with the content streaming to the devices of the close-knit group to increase the likelihood of a conversion. Optionally, the methods and systems tailor these advertisements based on an age segment of targeted users or based on features engaged by another user of the close-knit group.