Abstract: Embodiments of the present invention provide a human-machine interaction method, including: detecting and collecting, by a robot, sensing information of a companion object of a target object and emotion information of the target object that is obtained when the target object interacts with the companion object; extracting, by the robot, an emotion feature quantity based on the emotion information, determining, based on the emotion feature quantity, an emotional pattern used by the target object to interact with the companion object, determining, based on the emotional pattern, a degree of interest of the target object in the companion object, extracting behavioral data of the companion object from the sensing information based on the degree of interest, and screening the behavioral data to obtain simulated object data; and simulating, by the robot, the companion object based on the simulated object data.

Abstract: The technology of this application relates to a sound recording method and a related device. The sound recording method includes performing a shooting operation on a subject, determining an attribute of the subject, selecting a target microphone from a sound pickup assembly based on the attribute of the subject, and performing sound recording on the subject using the target microphone.

Abstract: A motion vector prediction method includes parsing a bitstream to obtain an index value of a candidate motion vector list and constructing the candidate motion vector list that includes. candidate motion vectors of K control points of a current block. The candidate motion vectors of K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, where N and K are integers greater than or equal to 2 and less than or equal to 4 with N not being equal to K. The method further includes determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points.

Abstract: A motion vector prediction method includes parsing a bitstream to obtain an index value of a candidate motion vector list and constructing the candidate motion vector list that includes. candidate motion vectors of K control points of a current block. The candidate motion vectors of K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, where N and K are integers greater than or equal to 2 and less than or equal to 4 with N not being equal to K. The method further includes determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points.

Abstract: A motion vector prediction method includes parsing a bitstream to obtain an index value of a candidate motion vector list and constructing the candidate motion vector list that includes. candidate motion vectors of K control points of a current block. The candidate motion vectors of K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, where N and K are integers greater than or equal to 2 and less than or equal to 4 with N not being equal to K. The method further includes determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points.

Abstract: A content presentation method is used to intelligently present content to a user in different presentation modes according to different identified scenarios. The method includes acquiring, by an intelligent terminal, context data of a user; identifying a user use scenario according to the context data; determining a first presentation mode corresponding to the user use scenario; and presenting content to the user in the first presentation mode.

Abstract: The present disclosure discloses a preview-image display while a terminal device photographs a picture. The method comprises: obtaining, by a terminal device, a first preview image and a second preview image, wherein the first preview image is based on a current picture in a first mode and the second preview image is based on the current picture in a second mode; and displaying, by the terminal device, a first part of the first preview image and a second part of the second preview image in a preview area, wherein the first part of the first preview image and the second part of the second preview image constitute a third preview image based on the current picture.

Abstract: Example video data processing methods and apparatus are disclosed. One example method includes receiving a first stream from a client, where the first bitstream is obtained by encoding image data in a specified spatial object. The specified spatial object is part of panoramic space, and a size of the specified spatial object is larger than a size of a spatial object of the panoramic space corresponding to viewport information. The spatial object corresponding to the viewport information is located in the specified spatial object. The client receives a second stream, where the second bitstream is obtained by encoding image data of a panoramic image of the panoramic space with a lower resolution than a resolution of the image data included in the specified spatial object. The client plays the second bitstream and first bitstream.

Abstract: The present disclosure discloses a preview-image display while a terminal device photographs a picture. The method comprises: obtaining a first preview image and a second preview image, wherein the first preview image is generated based on a first photographing mode and the second preview image is generated based on a second photographing mode; and displaying a first part of the first preview image and a second part of the second preview image at the same time.

Abstract: A wearable electronic device includes a sensor module, a processor, a display controller, and a display, where the sensor is configured to: collect data, generate a sensor signal that represents a feature of data of currently collected data, and send the sensor signal to the processor, the processor is configured to: determine, according to the received sensor signal, a manner to display that is corresponding to the feature of data represented by the sensor signal and is of the display, generate a display control signal, and send the display control signal to the display controller, and the display controller is configured to control, according to the display control signal, the display to display.

Abstract: Embodiments of this application describe a motor vehicle self-driving method and a terminal device. The method may include obtaining, by a terminal device, vehicle external-environment data of a position of a motor vehicle and initial positioning precision of the motor vehicle. The method may also include determining, by the terminal device, a target driving parameter of the motor vehicle based on the vehicle external-environment data and the initial positioning precision. Furthermore, the method may include controlling, by the terminal device, the motor vehicle to drive based on the target driving parameter. In the embodiments of this application, the terminal device determines the target driving parameter of the motor vehicle based on the vehicle external-environment data and the initial positioning precision. In this way, the target driving parameter varies with the vehicle external-environment data, and further matches an external environment, thereby improving self-driving safety of the motor vehicle.

Abstract: A vehicle regulation method and apparatus, and an electronic device are disclosed. The vehicle regulation method includes: obtaining a currently used driving mode of a first vehicle on a target road and a currently used driving mode of a second vehicle on the target road; and when the currently used driving mode of the first vehicle is different from the currently used driving mode of the second vehicle, determining a driving mode adjustment policy based on supported driving modes of the first vehicle and supported driving modes of the second vehicle. In the method, when a driving mode of a vehicle is different from a driving mode of a surrounding vehicle of the vehicle, supported driving modes of the vehicle and supported driving modes of the surrounding vehicle of the vehicle can be comprehensively considered to determine a driving mode adjustment policy, thereby improving driving safety and road utilization.

Abstract: A content presentation method is used to intelligently present content to a user in different presentation modes according to different identified scenarios. The method includes acquiring, by an intelligent terminal, context data of a user; identifying a user use scenario according to the context data; determining a first presentation mode corresponding to the user use scenario; and presenting content to the user in the first presentation mode.

Abstract: A motion vector prediction method includes parsing a bitstream to obtain an index value of a candidate motion vector list and constructing the candidate motion vector list that includes. candidate motion vectors of K control points of a current block. The candidate motion vectors of K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, where N and K are integers greater than or equal to 2 and less than or equal to 4 with N not being equal to K. The method further includes determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points.

Abstract: The present disclosure discloses a preview-image display while a terminal device photographs a picture. The method comprises: obtaining a first preview image and a second preview image, wherein the first preview image is generated based on a first photographing mode and the second preview image is generated based on a second photographing mode; and displaying a first part of the first preview image and a second part of the second preview image at the same time.

Abstract: A motor vehicle self-driving method comprises obtaining a first positioning mode and a first driving route; obtaining second vehicle information of a second motor vehicle, where the second vehicle information includes a second positioning mode and a second driving route; determining whether the first driving route overlaps with the second driving route; when the first driving route overlaps with the second driving route, comparing positioning precision of the first positioning mode with positioning precision of the second positioning mode; determining a positioning mode with higher positioning precision in the first positioning mode and the second positioning mode as a target positioning mode; determining a target driving parameter based on the target positioning mode; and controlling the first motor vehicle and the second motor vehicle to drive based on the target driving parameter.

Abstract: A method includes: parsing a bitstream to obtain an index value of a candidate motion vector list; constructing the candidate motion vector list, where the candidate motion vector list includes candidate motion vectors of K control points of a current block, the candidate motion vectors of the K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, N, K are integers greater than or equal to 2 and less than or equal to 4, and N is not equal to K; determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value; and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points. It helps improve coding efficiency in an audio and video coding process.

Abstract: The present disclosure discloses a preview-image display while a terminal device photographs a picture. The method comprises: obtaining a first preview image and a second preview image, wherein the first preview image is generated based on a first photographing mode and the second preview image is generated based on a second photographing mode; and displaying a first part of the first preview image and a second part of the second preview image at the same time.

Abstract: A content presentation method is used to intelligently present content to a user in different presentation modes according to different identified scenarios. The method includes acquiring, by an intelligent terminal, context data of a user, identifying a user use scenario according to the context data, determining a first presentation mode corresponding to the user use scenario, and presenting content to the user in the first presentation mode.

Abstract: A video coding mechanism is disclosed. The mechanism includes obtaining a coding tree unit including luma samples and chroma samples. The mechanism partitions the luma samples and the chroma samples according to a common coding tree when a size of a first coding tree node exceeds a threshold. The mechanism also partitions the luma samples with a luma coding sub-tree when a size of a second coding tree node is equal to or less than the threshold. The mechanism also chroma samples with a chroma coding sub-tree when a size of a third coding tree node is equal to or less than the threshold. The luma coding sub-tree contains a different set of split modes than the chroma coding sub-tree.