Systems and methods are disclosed herein for generating supplemental content for media content. One disclosed technique herein generates for display a page of an electronic book. A noun, and a word contextually related to the noun, are identified from the displayed page of the electronic book. Content structures are searched for a content structure that includes a matching object having an object name matching the noun. The content structure includes objects, where each object has attribute table entries. Upon finding an identified attribute table entry of the matching object that matches the related word, a new content structure is generated. The new content structure includes the matching object and the identified attribute table entry. A content segment is generated for output (e.g., for display on the electronic book) based on the new content structure.

Systems and methods are disclosed herein for generating supplemental content for media content. One disclosed technique herein generates for display a page of an electronic book. A noun, and a word contextually related to the noun, are identified from the displayed page of the electronic book. Content structures are searched for a content structure that includes a matching object having an object name matching the noun. The content structure includes objects, where each object has attribute table entries. Upon finding an identified attribute table entry of the matching object that matches the related word, a new content structure is generated. The new content structure includes the matching object and the identified attribute table entry. A content segment is generated for output (e.g., for display on the electronic book) based on the new content structure.

Methods, systems, and computer programs encoded on computer storage media, for incrementally receiving and rendering content items. One example system includes a server, a user device, and a client running on the user device. The client sends a content request to the server. The client receives a response to the content request incrementally in multiple fragments. The multiple fragments constitute the entire response. The fragments include content items and metadata describing the content items, and each content item is renderable and defined by one or more data objects. The client incrementally renders the content items in the fragments in a display buffer as the fragments are received. The content items are rendered in an order determined by the metadata. The client displays all or a part of the display buffer on a display of the user device.

The disclosed technology addresses the need in the art for a service that can ingest a social network export and restore the integrity of threads within the social network export. The present technology can unite images in the social network export with the caption from the initial post, and with any comments within the thread. Likewise, images in the social network export can be enhanced to include metadata that reflects when the image was posted and any other contextual information that the social network provides in export file.

The disclosed technology addresses the need in the art for a service that can ingest a social network export and restore the integrity of threads within the social network export. The present technology can unite images in the social network export with the caption from the initial post, and with any comments within the thread. Likewise, images in the social network export can be enhanced to include metadata that reflects when the image was posted and any other contextual information that the social network provides in export file.

In implementations of search input generation for an image search, a computing device can capture image data of an environment scene that includes multiple objects. The computing device implements a search input module that can detect the multiple objects in the image data, and initiate a display of a selectable indication for each of the multiple objects. The search input module can then determine a subject object from the detected multiple objects, and generate the subject object as the search input for the image search.

In implementations of search input generation for an image search, a computing device can capture image data of an environment scene that includes multiple objects. The computing device implements a search input module that can detect the multiple objects in the image data, and initiate a display of a selectable indication for each of the multiple objects. The search input module can then determine a subject object from the detected multiple objects, and generate the subject object as the search input for the image search.

A user device is caused to display a visual attribute representation for a plurality of visual attributes. Each visual attribute is based at least in part on an image and each visual attribute representation is selectable. A processor is caused to identify a plurality of items, each item is associated with a visual attribute matching at least one of the plurality of visual attributes. The items are classified a first set and a second set. The items in the first and second sets are mutually exclusive and simultaneously displayed. If the processor receives a single selection of a first visual attribute representation of a first visual attribute of the plurality of visual attributes, the first set consist of items associated with a visual attribute matching the first visual attribute and the second set comprise items associated with a visual attribute matching at least one of the plurality of visual attributes.

A method for image search, an electronic device, and a non-transitory computer-readable storage medium are provided. The method includes the following. Receive a query text. Process the query text to obtain a first multi-dimensional word vector. Perform, with a text gated network in a dual gate network, a first weighted operation on the first multi-dimensional word vector to obtain a second multi-dimensional word vector. Search for at least one target image according to the second multi-dimensional word vector and a second multi-dimensional visual vector for each image in an image file. The second multi-dimensional visual vector for each image is obtained by performing, with a visual gated network in the dual gate network, a second weighted operation on a first multi-dimensional visual vector for each image, and the second multi-dimensional word vector and the second multi-dimensional visual vector for each image are in a same space.

A method for image search, an electronic device, and a non-transitory computer-readable storage medium are provided. The method includes the following. Receive a query text. Process the query text to obtain a first multi-dimensional word vector. Perform, with a text gated network in a dual gate network, a first weighted operation on the first multi-dimensional word vector to obtain a second multi-dimensional word vector. Search for at least one target image according to the second multi-dimensional word vector and a second multi-dimensional visual vector for each image in an image file. The second multi-dimensional visual vector for each image is obtained by performing, with a visual gated network in the dual gate network, a second weighted operation on a first multi-dimensional visual vector for each image, and the second multi-dimensional word vector and the second multi-dimensional visual vector for each image are in a same space.