Embodiments of the present disclosure provides a method for pushing video information, an apparatus, a device and a storage medium. In the embodiments of the present disclosure, the user behavior information in the user page at the current moment is acquired, and the related information of the target video that is pushed to the user terminal at the next moment is determined according to the user behavior information, so that the user terminal refreshes the user page according to the related information of the target video, thus the target video that is pushed by the server to the user terminal is more in line with the user's preference, therefore the user quickly finds the video that he/she likes in the user interface, thereby improving the user experience.

Systems and methods are described herein for efficiently “catching-up” a user that is interested in a media asset when that user has missed a portion of the media asset while consuming the media asset together with other people. The system may detect that multiple people are consuming a media asset and may determine, based on a respective profile of each person, whether that person is interested in the media asset. When the system detects that the user is disregarding the media asset, the missed portion of the media asset is stored if the user is interested in the media asset, and is not stored if the user is not interested in the media asset.

Systems and methods are described herein for efficiently “catching-up” a user that is interested in a media asset when that user has missed a portion of the media asset while consuming the media asset together with other people. The system may detect that multiple people are consuming a media asset and may determine, based on a respective profile of each person, whether that person is interested in the media asset. When the system detects that the user is disregarding the media asset, the missed portion of the media asset is stored if the user is interested in the media asset, and is not stored if the user is not interested in the media asset.

Example apparatus are to assign a first watermark to a first monitoring track and a second monitoring track, the first watermark detected in an audio stream of media. Example apparatus are also to, in response to at least a first threshold number of watermarks being assigned to the first monitoring track, group the first watermark with one or more other watermarks assigned to the first monitoring track to define a first media detection event. Example apparatus are also to, in response to at least a second threshold number of watermarks being assigned to the second monitoring track, group the first watermark with one or more other watermarks assigned to the second monitoring track to define a second media detection event. Example apparatus are further to cause transmission of the first media detection event and the second media detection event to a data collection facility.

Example apparatus are to assign a first watermark to a first monitoring track and a second monitoring track, the first watermark detected in an audio stream of media. Example apparatus are also to, in response to at least a first threshold number of watermarks being assigned to the first monitoring track, group the first watermark with one or more other watermarks assigned to the first monitoring track to define a first media detection event. Example apparatus are also to, in response to at least a second threshold number of watermarks being assigned to the second monitoring track, group the first watermark with one or more other watermarks assigned to the second monitoring track to define a second media detection event. Example apparatus are further to cause transmission of the first media detection event and the second media detection event to a data collection facility.

An apparatus 103 stores, in a storage unit, a plurality of parameters for generation of a virtual viewpoint image based on a plurality of captured images, the plurality of parameters including a parameter representing a time and a parameter representing a position of a virtual viewpoint and a direction of view from a virtual viewpoint corresponding to the time, and causes, in accordance with a switching operation performed while a virtual viewpoint image is being displayed on a display unit, the display unit to display a virtual viewpoint image corresponding to a parameter representing a time selected from the plurality of parameters stored in the storage unit based on the switching operation, and corresponding to a parameter representing a position of a virtual viewpoint and a direction of view from a virtual viewpoint corresponding to the virtual viewpoint image being displayed.

Methods and systems for delivering content are described. A content distribution network may utilize multiple content sources and datacenters when delivering content to a requesting device. One or more service metrics associated with the content as it is being prepared for delivery at each of the datacenters may be monitored by a quality agent. The quality agent may use the one or more service metrics to select a distribution datacenter to deliver the content to the requesting device. The quality agent may instruct the remaining datacenters to disable delivery of the content to the requesting device.

Methods and systems for delivering content are described. A content distribution network may utilize multiple content sources and datacenters when delivering content to a requesting device. One or more service metrics associated with the content as it is being prepared for delivery at each of the datacenters may be monitored by a quality agent. The quality agent may use the one or more service metrics to select a distribution datacenter to deliver the content to the requesting device. The quality agent may instruct the remaining datacenters to disable delivery of the content to the requesting device.

An analysis apparatus acquires individual emotion data for each participant generated on the basis of face image data of the participants in an online meeting during the meeting. The analysis apparatus generates, for each participant, analysis data indicating a degree of emotion in the online meeting on the basis of the individual emotion data. The analysis apparatus stores each piece of the analysis data for each participant in association with corresponding color tone information. The analysis apparatus generates, as a display image indicating a state of the online meeting, an image in which element figures represented by the color tone information associated with the analysis data are disposed for each of a plurality of the participants who have participated in the online meeting. The analysis apparatus outputs the generated display image.

Aspects of the subject disclosure may include, for example, obtaining media content, providing it as input to a neural network adapted to categorize scenes according to predetermined categories, and generating metadata according to the categorization. An objectionable scene is identified based on a user preference and according to a characterization. An altered scene based on a content of the objectionable scene may be obtained responsive to the identifying of the objectionable scene. The altered scene provides a suitable scene in place of the objectional scene that preserves information of the content to obtain preserved information. Replacement of the objectionable scene with the altered scene may be facilitated to obtain adapted media content, wherein presentation of the adapted media content via equipment avoids presentation of the objectionable scene, while maintaining a continuity of the original media content via the preserved information. Other embodiments are disclosed.