The present disclosure relates to the technical field of multimedia, and provides a video processing method and apparatus. The video processing method according to the present disclosure includes: performing semantic analysis on subtitles of a video to acquire compressed subtitles; determining a weight of each frame of images in the video based on a preset image processing strategy; acquiring a shortened video images by extracting a plurality of image frames in an order of the weights of all frames of images from high to low, according to a preset video shortening proportion; and generating a shortened video according to the shortened video images and the compressed subtitles.

Systems and methods for analyzing collaborative comments on content to create and/or modify content are disclosed herein. Each of the plurality of comments include modifying the content. Each of the plurality of comments are is analyzed to identify an action associated with each of the plurality of comments, location of the action in the content, and an owner associated with the action. Furthermore, a marker associated with the action at the identified location in the content is added.

An example to predict demographics for impressions includes a prediction manager to: determine that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression; obtain third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor; and generate matched demographic data based on comparing the third demographic data to the first demographic data; and a modeler to generate a prediction model based on the matched demographic data, the prediction model to predict fourth demographic data for the impression.

Media content search results ranked by popularity is described. In embodiment(s), a search request for television media content can be initiated by a viewer, and television media content that is relevant to the search request can be identified. The relevant television media content can then be ranked based on a popularity rating and the relevant television media content can be displayed in an ordered list that is ordered by popularity rankings.

Systems and methods are described for sharing a user interface between users. The system transmits live video simultaneously to a plurality of users. Then, the system determines a subset of the plurality of users, such that the subset includes two users that have a predetermined relationship. Then, during playback of the video, the system detects an object in a frame of the video corresponding to preferences of the first user. In response, the system determines whether the second user is researching information related to the object during playback of the video. If the second user is researching such information, the system streams a mirror image of a user interface with which the second user is performing the researching to the first user.

A client device includes a display device and one or more image capture devices configured to capture video data of a local area surrounding the client device. Different users of an online system are identified from the captured video data, provided privacy settings maintained for the users authorize their identification from the video data, and the client device transmits a request for content to the online system that identifies each of the identified users. The client device receives content items selected for each of the identified users from the online system. From the received content items, the client device generates a feed of content that includes at least one content item selected for each of the identified users and presents the generated feed of content via the display device.

Systems and methods are described herein for updating search results based on a user's comment or a conversation among users using a media guidance application. A set of search results may be presented to a user or users. Comments or a conversation about the search results may be analyzed by the media guidance application. Selected comments by a user determined to have a greater weight may be used to update the search results.

A method includes obtaining a user focus indicator value that is associated with a subject. A plurality of filter values for a respective set of media content filters are determined based on the subject and contextual data. The method includes delivering, based on a first combination of the filter values, a first set of media content items associated with a first combination of content delivery mediums. The method includes delivering, based on a second combination of the filter values that is different from the first combination, a second set of media content items that is associated with a second combination of content delivery mediums that is different from the first combination of content delivery mediums. The second set is different from the first set.

Methods, systems, and apparatuses for securing property are presented. Video content viewed by a user may be detected, and the user may be automatically prompted to change settings on a security system based on the detecting. A comparison of the current time with the duration of the video content may serve as the basis for such prompting. Additionally, a premise security system may be placed in a learning mode. Changes in position of a security sensor may be detected and used to set a permitted range of motion for the sensor. Further, a plurality of security sensor profiles may be stored, and each profile may identify a different predefined permitted range of motion of a sensor. The addition of a new sensor to a premise may be detected, and a user may be prompted, on a display, to identify a profile to be used for the new sensor.

In some implementations, a user device can predictively route media content to a remote playback device based on playback context information obtained by the user device. The playback context can include local playback context information related to the state and/or context of the user device. The playback context can include remote playback context information related to the state and/or context of available remote playback devices. Based on the playback context information obtained by the user device, the user device can generate a predictive score for each available playback device that indicates or predicts the likelihood that the user will want to send media content to the corresponding playback device. The user device can generate and present a graphical user interface that can identify the playback devices having predictive scores over a threshold score. In some instances, the user device can automatically route selected media content to a predicted playback device.