Abstract:
Embodiments of the present invention provide multi-view video coding and coding methods and corresponding apparatuses. The multi-view video coding method includes: minimizing an error between a currently coded view image and a warped view image of a front view image to obtain an optimal warping offset; calculating disparity information between the front view image and the currently coded view image by using the optimal warping offset, a camera parameter of a view, and depth image information of the front view image; and calculating the warped view image of the front view image by using the disparity information and the front view image, and predicting a current view image by using the warped view image as a prediction signal.
Abstract:
A method and an apparatus for binarizing an intra prediction mode are provided. The method includes: acquiring an intra prediction mode of a luma component; if the intra prediction mode of the luma component is one kind of prediction mode in M, modifying a value of a serial number of a prediction mode Luma Angle of a chroma component to I; sequencing all prediction modes of the chroma component according to a preset rule; and performing binarization on the modified Luma Angle, and sending the binarized Luma Angle to a decoding end. A method for coding an intra prediction mode and a method and an apparatus for decoding an intra prediction mode are further provided. According to the present invention, coding efficiency is improved.
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:
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 user permission allocation method includes acquiring currently collected facial feature information of a user; determining a difference degree of the current facial feature information of the user according to the acquired facial feature information of the user and facial feature information included in stored standard sample information; and allocating a user permission to the user according to the determined difference degree. Compared with a manner of using a fixed face threshold, a difference degree of current facial feature information of the user is determined, and when a user permission is allocated to the user, an external factor that affects the collected facial feature information is used as a reference factor.
Abstract:
Example video data processing methods and apparatus are disclosed. One example method includes obtaining viewport information by a server. The server obtains spatial object information based on the viewport information, where the spatial object information is used to describe a specified spatial object in panoramic space. The server obtains a first bitstream that is obtained by encoding image data in the specified spatial object. The server obtains a second bitstream that is obtained by encoding image data in the panoramic space. The server transmits the first bitstream and the second bitstream to a client.
Abstract:
A user permission allocation method includes acquiring currently collected facial feature information of a user; determining a difference degree of the current facial feature information of the user according to the acquired facial feature information of the user and facial feature information included in stored standard sample information; and allocating a user permission to the user according to the determined difference degree. Compared with a manner of using a fixed face threshold, a difference degree of current facial feature information of the user is determined, and when a user permission is allocated to the user, an external factor that affects the collected facial feature information is used as a reference factor, which means that a higher difference degree of the collected facial feature information indicates a lower user permission allocated to the user, so that the user permission of the user is dynamically allocated.
Abstract:
A media file sharing method, a media file sharing device, and a terminal are provided. The media file sharing device determines a preset selection condition; selects, from a local file, a media file satisfying the preset selection condition as a to-be-shared media file; and shares the to-be-shared media file. Therefore, the to-be-shared media file does not need to be manually selected by a user, which can improve media file sharing efficiency.