Abstract:
In one embodiment, a method includes accessing input data from one or more different input sources. The input sources include: one or more cameras, one or more microphones, and a social graph maintained by a social-networking system. Based on the input data, generating a current descriptive model for a current audio-video communication session that comprises one or more descriptive characteristics about (1) an environment associated with the current audio- video communication session, (2) one or more people within the environment, or (3) one or more contextual elements associated with the current audio-video communication session. The method also includes generating one or more instructions for the current audio-video communication session that are based the one or more descriptive characteristics; and sending the one or more instructions to a computing device associated with the one or more cameras and the one or more microphones.
Abstract:
A device may be configured to render at least one spatial region of 360-degree media content, which may include two or more spatial regions. The device may include a receiver configured to receive the 360- degree media content and metadata associated with the 360-degree content. The metadata may include a classification of a respective spatial region of the 360-degree media content. The device may further include a memory configured to store a user preference and a sensor configured to detect a user movement. The device may include a processor configured to determine that the user movement is associated with a rendering of the respective spatial region. The processor may further determine whether the classification complies with the user preference and alter the rendering of the respective spatial region if the classification violates the user preference.
Abstract:
An artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of a human brain by using a mechanical learning algorithm such as deep learning, or the like, and an application thereof are provided. A method of filtering video by a device is provided. The method includes selecting at least one previous frame preceding a current frame being played from among a plurality of frames included in the video, generating metadata regarding the selected at least one previous frame, predicting harmfulness of at least one next frame to be displayed on the device after playback of the current frame, based on the generated metadata, and filtering the next frame based on the predicted harmfulness.
Abstract:
A system which allows a user to rate a video data by attaching a numerical value to the video data values at an interval, wherein this numerical rating is later used to automatically edit the video.
Abstract:
A full multimedia content is sent to end users from a network node (2; 2A). The end users select a respective personalized multimedia content from the full multimedia content and send a respective index associated with the respective selected personalized multimedia content to a network node (2; 2B) to trigger uploading of the respective selected personalized multimedia content or a version thereof on a social networking server (4) on behalf of the end users. The embodiments thereby enable end users to upload personalized multimedia content on their accounts at social networking servers (4) also in situations with limited uplink capacity by merely sending indices associated with the personalized multimedia content instead of the actual multimedia content itself.
Abstract:
A method is described for determining a region-of-interest (ROI) for a client device on the basis of at least one HEVC-tiled (panorama) video stream wherein the method comprises: receiving a ROI video stream for rendering a first ROI defining a first sub-region within the full image region of said HEVC-tiled video stream, the positions of HEVC tiles in said HEVC-tiled panorama video being defined by tile position information; providing ROI position information associated with at least one video frame of said ROI video stream, said ROI position information comprising at least first position of said first ROI; identifying one or more HEVC tiles of said HEVC-tiled video stream on the basis of said ROI position information and said tile position information, preferably one or more HEVC tiles that overlap with said first ROI; and, requesting video data associated with said one or more identified HEVC tiles for rendering a second ROI defining a second sub-region within the full image region of said HEVC-tiled video stream.
Abstract:
In multiple screen environments, an advertising server and a media server can interact with the multiple screens to ensure that advertisements are acknowledged by a viewer. In one example, a main or first screen is obscured to some extent until a viewer acknowledges the advertisement on one or more secondary devices. The extent of obscuring the main screen can be varied as well as the frequency of displaying the advertisement. This allows the user's viewing behavior to be modified based on the method of advertisement placement.
Abstract:
Systems and methods are provided for applying adaptive play settings to a media asset. One example method includes identifying a media asset selected for playback and retrieving a plurality of user preferences. The user preferences correlate a play function to a type of a segment of a media asset. A plurality of segments in the media asset selected for playback are identified and each of the plurality of segments has a respective type. In response to identifying a plurality of segments in the media asset selected for playback, a respective play function is assigned to each of the respective plurality of segments based on the respective type of each of the plurality of segments.