Abstract: A computer implemented method of associating a non-electronic map with an electronic map is provided. The method comprises, for an obtained online data collection, generating a database of style-invariant and location-variant map representations by application of a convolutional neural network. Additionally, for a captured image associated with the non-electronic map, the captured image not having geo-location metadata, the method comprises applying a nearest neighbor heuristic to compare the captured image to the map representations and generate a match between the captured image and the map representations, and performing a display action associated with the match.

Abstract: A computer implemented method of grouping media objects is provided, as well as systems, interfaces and devices therefor. The method includes generating a group from the media objects based on a combination of a script of sequential events and an actor associated with one or more of the media objects in the script, segmenting the group into segments each including one or more of the media objects, based on clustering or classification, providing titling and captioning for the segments, and generating filter and annotation recommendations based on knowledge associations in the media objects, data, and the combination of the script and the actor, across the media objects of the group.

Abstract: A method and system of associating textual summaries with data representative of media content is provided. The method may include receiving a plurality of textual summaries, each textual summary representative of an event, pairing, by a neural network, each received textual summary with each of a plurality of pieces of data, each piece of data representative of media content, to generate a plurality of text-data pairings; and associating a first selected textual summary with a first piece of data based on a similarity of content features extracted from each received textual summary to content features extracted from each piece of data in each of the plurality of text-data pairings.

Abstract: A method of visualizing recommended pieces of media content is provided. The method includes identifying at least one piece of media content associated with a received content feature associated with a viewed piece of media content, selecting at least one additional piece of media content linked to the viewed piece of media content by a sequential relationship, generating a two-dimensional visualization based on a content similarity between the identified at least one piece of media content, the viewed piece of media content, and the selected at least one additional piece of media content and the sequential relationship; and displaying the generated two-dimensional visualization.

Abstract: Geographical regions are each characterized using a distribution of terms, tags, etc. A model may be generated that identifies characteristics of each geographic region. The geographic regions may be organized using a geographical hierarchical model.

Abstract: In accordance with embodiments of the present invention, a method for associating metadata with a media object is provided. The method provides the ability to tag, or bookmark, a point in time for future use. The method includes receiving the metadata, an associated time condition, and an associated user identification. The method further includes storing at least the time condition. The at least stored time condition is used, at least in part, for associating the metadata with the media object. The media object is then provided to the user. In some embodiments the media object is not available for association with the metadata at the time the metadata is received. In other embodiments, the media object is provided by an external application.

Abstract: One or more systems and/or methods for determining a query date range and/or searching a content corpus are provided. A set of content items (e.g., digital images, videos, etc.), associated with an event, may be identified from a content corpus. The set of content items may be evaluated to identify temporal features (e.g., digital time stamps) for the set of content items. A query date range for the event may be determined based upon the temporal features (e.g., users may capture photos that are related to Christmas from December 4th to December 27th). In an example, responsive to receiving a search query, associated with the event, the search query may be adjusted based upon the query date range to create an adjusted search query. The content corpus may be searched using the adjusted search query to create search query results for the search query.

Abstract: The present disclosure is descriptive of discovering structure, content, and context of a media event, e.g., a live media event, using real-time discussions that unfold through short messaging services. Generally, a sampling of short messages of a plurality of users is obtained. The sampling of short messages corresponds to a media event. A segment in the media event is identified using the sampling of short messages, and at least one term taken from the sampling of short messages is identified. The at least one term is indicative of a context of the identified segment.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically determine media content to communicate to a user based on the user's location. The disclosed systems and methods enable novel media content distribution to a user based on 1) the location of the user (i.e., physical location or geo-location), 2) other users' classified relationships to the location; and 3) user generated media content by the classified other users.

Abstract: In one embodiment, a set of one or more metadata values may be obtained via a device, where the set of one or more metadata values indicate conditions present with respect to the device, the user of the device, and/or one or more friends of the user. Multiple media items in a plurality of media items may be identified by identifying at least a portion of the plurality of media items based, at least in part, on at least a portion of a second set of one or more metadata values of at least a portion of the plurality of media items and at least a portion of the set of one or more metadata values, where the second set of metadata values indicates conditions present when the corresponding media item was obtained, generated, or identified. A virtual carousel including the multiple media items may be provided.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically determine media content to communicate to a user based on the user's location. The disclosed systems and methods enable novel media content distribution to a user based on 1) the location of the user (i.e., physical location or geo-location), 2) other users' classified relationships to the location; and 3) user generated media content by the classified other users.

Abstract: Geo-referenced and oriented media items may be used to determine a location of one or more points of interest depicted by the media items. A difference between an actual capture location and orientation and a reported location and orientation may be modeled according to one or more distributions, which distribution(s) may be used to assign one or more weights to each location in the world where such weight(s) may be considered to be a likelihood that a point of interest might have been seen by a capturing device. A density map may be acquired by superimposing the derived likelihoods, and a maximum, e.g., local maximum, may be determined to represent a location of a point of interest.

Abstract: The present disclosure is descriptive of discovering structure, content, and context of a media event, e.g., a live media event, using real-time discussions that unfold through short messaging services. Generally, a sampling of short messages of a plurality of users is obtained. The sampling of short messages corresponds to a media event. A segment in the media event is identified using the sampling of short messages, and at least one term taken from the sampling of short messages is identified. The at least one term is indicative of a context of the identified segment.

Abstract: One or more computing devices, systems, and/or methods for providing content sharing recommendations are provided. For example, signals, associated with a user (e.g., a location of the user, an event occurring near the user, an activity being performed by the user, content of a message recently received by the user or being composed by the user, etc.), are evaluated to identify a context associated with the user (e.g., the user may be composing a social network post about a basketball game that the user is attending). The context is applied to content (e.g., photos, videos, documents, webpages, etc.), available to the user, to create contextualized content indicative of how appropriate or relevant such content is given the context (e.g., a basketball game photo may be more relevant than a work document). A content sharing recommendation of contextualized content may be provided to the user.

Abstract: The present disclosure is descriptive of discovering structure, content, and context of a media event, e.g., a live media event, using real-time discussions that unfold through short messaging services. Generally, a sampling of short messages of a plurality of users is obtained. The sampling of short messages corresponds to a media event. A segment in the media event is identified using the sampling of short messages, and at least one term taken from the sampling of short messages is identified. The at least one term is indicative of a context of the identified segment.

Abstract: Users are enabled to define and modify mappings between (1) gestures and (2) actions performed by one or more computing devices in response to a device detecting performance of a gesture. A generalized gesture-to-action mapping framework allows users to intuitively define and modify such mappings. In response to a device detecting the performance of a particular gesture, one or more devices may cause the execution of one or more device actions based on a set of user-defined gesture-to-action mappings.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically determine media content to communicate to a user based on the user's location. The disclosed systems and methods enable novel media content distribution to a user based on 1) the location of the user (i.e., physical location or geo-location), 2) other users' classified relationships to the location; and 3) user generated media content by the classified other users.

Abstract: Users are enabled to define and modify mappings between (1) gestures and (2) actions performed by one or more computing devices in response to a device detecting performance of a gesture. A generalized gesture-to-action mapping framework allows users to intuitively define and modify such mappings. In response to a device detecting the performance of a particular gesture, one or more devices may cause the execution of one or more device actions based on a set of user-defined gesture-to-action mappings.

Abstract: Software authenticates a first user of a first mobile device and a second user of a second mobile device. Each user agrees or has previously agreed to share video data captured by the user with other authenticated users. The software determines whether the first mobile device is located proximate to the second mobile device. Then the software receives video data captured by the second mobile device and transmits the video data to the first mobile device for display along with an annotation, if the first mobile device is proximate to the second mobile device. The annotation indicates the location of the second mobile device relative to the first mobile device and includes data as to camera angle of the second mobile device received from the second mobile device. The software persistently stores the video data upon receipt of a command from the user of the first mobile device.

Abstract: One or more systems and/or methods for determining a query date range and/or searching a content corpus are provided. A set of content items (e.g., digital images, videos, etc.), associated with an event, may be identified from a content corpus. The set of content items may be evaluated to identify temporal features (e.g., digital time stamps) for the set of content items. A query date range for the event may be determined based upon the temporal features (e.g., users may capture photos that are related to Christmas from December 4th to December 27th). In an example, responsive to receiving a search query, associated with the event, the search query may be adjusted based upon the query date range to create an adjusted search query. The content corpus may be searched using the adjusted search query to create search query results for the search query.