Systems and methods for searching, identifying, scoring, and providing access to companion media assets for a primary media asset are disclosed. In response to a request for companion content, metadata within a predefined time period of a play position when the request was made, is downloaded. A dynamic search template that contains search parameters based on the downloaded metadata is generated. In response to the search conducted using the search template, a plurality of companion media assets are identified and then verified. A trust score for the companion media asset is accessed. The trust score may be analyzed and modified based on its contextual relationship to the play position of the primary media asset. If the trust score is within a rating range, then a link to access the companion media asset, or a specific segment or play position within the companion media asset, is provided.

Systems and methods for searching, identifying, scoring, and providing access to companion media assets for a primary media asset are disclosed. In response to a request for companion content, metadata within a predefined time period of a play position when the request was made, is downloaded. A dynamic search template that contains search parameters based on the downloaded metadata is generated. In response to the search conducted using the search template, a plurality of companion media assets are identified and then verified. A trust score for the companion media asset is accessed. The trust score may be analyzed and modified based on its contextual relationship to the play position of the primary media asset. If the trust score is within a rating range, then a link to access the companion media asset, or a specific segment or play position within the companion media asset, is provided.

Systems and methods for facilitating contextual queries based on media samples automatically captured by a computing device are disclosed herein. A server receives from a computing device over a communication network, a media sample of a media asset automatically captured by the computing device. The server obtains contextual information corresponding to the captured media sample. The server stores the media sample in a memory indexed by the contextual information. The server receives, from the computing device over the communication network, a query that includes a criterion but lacks an identifier of the media asset. The server identifies the media sample in the memory by matching the query criterion to the contextual information. The server generates a reply to the query based on the identifying of the media sample and communicates the reply to the computing device over the communication network.

A user of a storage system can upload files for a media asset, which can include a high quality media file and various related files. As part of the upload process, the storage system can extract metadata that describes the media asset. The user can specify one or more lifecycle policies to be applied for storage of the asset, and a rules engine can ensure the application of the one or more policies. The rules engine can also enable the use of simple media processing workflows. A filename hashing approach can be used to ensure that the segments and files for the asset are stored in a relatively random and even distribution across the partitions of the storage system. As part of the lifecycle for the asset, the high quality media file can be moved to less expensive storage once transcoding of the asset or another such action occurs.

A method and apparatus for performing an integrated search is provided. An interface is provided that allows users to search and select any data related to a searchable term. Searchable terms may comprise titles of content, actors, and tags. Upon receiving results from the initial search, the user progresses through the initial search by selecting a result from the initial search and conducting a further search of that selection. The search may progress through many layers of searching in order to find information useful to the user and the user may perform actions based upon results of the search. The search implements a display with two columns, the first column displaying selectable data, and the second column displaying results to the selected data. The search is further customizable based upon a privacy level selected by the user.

A system, computer readable storage medium, and computer-implemented method presents video search results responsive to a user keyword query. The video hosting system uses a machine learning process to learn a feature-keyword model associating features of media content from a labeled training dataset with keywords descriptive of their content. The system uses the learned model to provide video search results relevant to a keyword query based on features found in the videos. Furthermore, the system determines and presents one or more thumbnail images representative of the video using the learned model.

A system, computer readable storage medium, and computer-implemented method presents video search results responsive to a user keyword query. The video hosting system uses a machine learning process to learn a feature-keyword model associating features of media content from a labeled training dataset with keywords descriptive of their content. The system uses the learned model to provide video search results relevant to a keyword query based on features found in the videos. Furthermore, the system determines and presents one or more thumbnail images representative of the video using the learned model.

Technologies are provided for automated quality assessment of translations. In some embodiments, quality of a translation can be assessed by generating a machine-learning (ML) model that classifies the translation as pertaining to one of three quality categories. A first quality category can include, for example, translations that are deemed satisfactory. A second quality category can include, for example, translations that are deemed subject to edition prior to being deemed satisfactory. A third quality category can include, for example, translations that are deemed unsatisfactory. The generated ML model can then be applied to the translation and a corresponding sentence in a source language in order to classify the translation as pertaining to one of the three categories.

A method and a device for viewing a conference are provided. In the method, after a wide-view video of a specific conference, related conference event data, and speech content of each participant are obtained, a highlight video of the specific conference is correspondingly generated. Accordingly, the efficiency of conference viewing is improved.

Aspects of the subject disclosure may include, for example, a device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of identifying a user of the device; sending a record of content downloaded from a content provider by the device to a distributed virtual agent; and receiving an advertisement via the content provider, wherein the advertisement is selected by an ad fulfillment service responsive to information provided by the distributed virtual agent. Other embodiments are disclosed.