Abstract:
The present disclosure relates to a filed of data processing technology. Disclosed are a data recovery method, a device and a system using the same. The data recovery method includes the following steps. A second client receives an identifying account associating with a first account and sends the identifying account to a server. The server receives the identifying account and sends a data recovery linkage to a verifying client. The verifying client responses to a connection request of the data recovery linkage and sends a data recovery confirming message to the server. The server receives the data recovery confirming message and copies the data stored in the first client to the second client according to the data recovery confirming message. The embodiments of present disclosure may recovery the data stored in the first client via the identifying account associating with the first account, when the first account is lost.
Abstract:
The present disclosure provides a method, system, intelligent terminal and storage medium for information recommendation, wherein, the method includes: uploading contact information to a server, by an intelligent terminal; storing the contact information uploaded by the intelligent terminal and acquiring a social account number of a user of the intelligent terminal, by the server; acquiring friend information of the social account number according to the social account number, and matching the acquired friend information with the contact information, then returning the friend information which is successfully matched to the intelligent terminal, by the server; receiving and storing the friend information which is successfully matched, and recommending the friend information which is successfully matched to the user of the intelligent terminal, by the intelligent terminal; and the friend information which is successfully matched including information that has not been set in the contact information of the intelligent terminal.
Abstract:
This application discloses a method for establishing a call connection, a first terminal, a server, and a storage medium. The method includes: obtaining, by a first terminal, a second vocoder list of a second terminal, the second vocoder list including vocoders supported by the second terminal and with corresponding priorities; determining, by the first terminal, a first vocoder with the highest priority among vocoders that exist in both a first vocoder list of the first terminal and the second vocoder list, the first vocoder list including vocoders supported by the first terminal and with corresponding priorities, and the priorities of the vocoders being positively correlated with audio frequencies in encoding and decoding of the vocoders; and requesting, by the first terminal by using the first vocoder, to establish a first call connection to the second terminal.
Abstract:
This application relates to a voice encoding and sending method performed at a mobile terminal that is communicatively connected to a plurality of mobile terminals via a computer server. The method includes sending voice data to the plurality of mobile terminals; receiving, from one or more of the plurality of mobile terminals, one or more paths of Real-Time Transport Control Protocol (RTCP) packets based on the voice data received by the one or more mobile terminals; parsing the one or more paths of RTCP packets and generating current network status information from the RTCP packets; adjusting a quality of service (QoS) parameter according to the current network status information; and encoding and sending new voice data according to the adjusted QoS parameter.
Abstract:
This application provides a facial animation implementation method performed at a computing device. The method includes: capturing a facial image; extracting facial feature points in the facial image; comparing the facial feature points with standard feature points, to obtain a first deformation coefficient corresponding to a geometrical feature; extracting a local region according to the facial feature points for processing, to obtain a second deformation coefficient corresponding to an appearance feature; and driving a three-dimensional virtual object according to the first deformation coefficient and the second deformation coefficient to perform a corresponding expression.
Abstract:
A face detection method for a computer device includes: obtaining a to-be-detected image; obtaining an initial shape of a current regression tree in a pre-constructed probability regression model; extracting image features from the to-be-detected image and respectively calculating a probability of each of leaf nodes of the current regression tree according to the image features; extracting an error of each of the leaf nodes; determining a shape error of the current regression tree according to the probability and the error of each of the leaf nodes; calculating an estimated shape of the current regression tree according to the initial shape and the shape error; and performing iterative calculation by using the estimated shape as an initial shape of a neighboring next regression tree until a last regression tree in the probability regression model, to obtain an estimated shape of the last regression tree as a detected face shape.
Abstract:
A method for occlusion detection on a target object is provided. The method includes: determining, based on a pixel value of each pixel in a target image, first positions of a first feature and second positions of a second feature in the target image. The first feature is an outer contour feature of a target object in the target image, the second feature is a feature of an interfering subobject in the target object. The method also includes: determining, based on the first positions, an image region including the target object; dividing, based on the second positions, the image region into at least two detection regions; and determining, according to a pixel value of a target detection region, whether the target detection region meets a preset unoccluded condition, to determine whether the target object is occluded. The target detection region is any one of the at least two detection regions.
Abstract:
In a method for facial feature point tracking, facial feature points of a face in a previous image of a to-be-tracked image are acquired in an image sequence. Facial feature point errors between the to-be-tracked image and the previous image are determined based on a preset error model and pixels in the to-be-tracked image. The facial feature point errors indicate differences between first coordinates of facial feature points in the to-be-tracked image, and second coordinates of facial feature points at corresponding positions in the previous image. The preset error model is trained based on facial feature points in a plurality of pairs of adjacent reference images. Further, the facial feature points of the face in the to-be-tracked image are determined based on the facial feature points of the face in the previous image and the facial feature point errors between the to-be-tracked image and the previous image.
Abstract:
A three-dimensional virtual image display method is provided for a terminal. The method includes obtaining a first model map and a second model map of a three-dimensional virtual image, and determining a target region of the three-dimensional virtual image. The three-dimensional virtual image comprises a first model and a second model, and the target region is a joining region of the first model and the second model. The method also includes setting brightness of each pixel point in the target region in a shader to be a same value, the shader being configured to set illumination environmental data of each pixel point in the three-dimensional virtual image and the illumination environmental data at least comprising the brightness; and rendering the first model map and the second model map through the shader, so that a brightness of each pixel point in the target region displayed after rendering is equal.
Abstract:
A real-time call method performed by a calling side, the calling side being a Voice over Internet Protocol (VoIP) terminal, includes: initiating a multi-party voice call request to a signaling server, wherein terminals that are specified in the multi-party voice call request includes a telephone terminal; establishing a data channel according to a remote access address returned by the signaling server in response to the multi-party voice call request; and performing a multi-party voice call based on establishment of data channels of the terminals according to the remote access address, wherein the telephone terminal establishes a data channel according to the remote access address by using a gateway device.