Advanced New Technologies Co., Ltd.

Alibaba Group Holding Limited

Huawei Technologies Co., Limited

Zhijun Du

Nan Wang

Yu Zhang

Qiang He

Wei Ding

Jie Shi

Minjie Wang

Sanping Li

Zhenqiang Lao

Weixing Wang

Zhenhua Chai

Yanjun Zhao

A first face region within a first image is determined. The first face region includes a location of a face within the first image. Based on the determined first face region within the first image, a predicted face region within a second image is determined. A first region of similarity within the predicted face region is determined. The first region of similarity has at least a predetermined degree of similarity to the first face region within the first image. Whether a second face region is present within the second image is determined. The location of the face within the second image is determined based on the first region of similarity, the determination of whether the second face region is present within the second image, and a face region selection rule.

Face location tracking method, apparatus, and electronic device

A method for determining a change in a distance, a location prompting method and an apparatus and a system thereof are provided. The method includes: sending, by a receiving terminal, a paring request to a server for the server to forward the paring request to a transmitting terminal, and to allocate a frequency band for the receiving terminal and the transmitting terminal after the transmitting terminal accepts the paring request; acquiring, by the receiving terminal, an acoustic wave signal of a frequency sent by the transmitting terminal, wherein the frequency is determined by the transmitting terminal based on the allocated frequency band; determining, by the receiving terminal, a change in the acquired acoustic wave signal; and determining, by the receiving terminal, a change in a distance between the transmitting terminal and the receiving terminal according to the change in the acquired acoustic wave signal.

Method for determining change in distance, location prompting method and apparatus and system thereof

A method may include dividing input audio into frames and calculating a characteristic value for each of the frames. The method may include establishing a voting matrix having a first dimension representing a quantity of segments of sample audio and a second dimension representing a quantity of frames of each segment. The method may include marking voting labels in the voting matrix corresponding to frames of the sample audio when the characteristic values of corresponding frames of the input audio and sample audio match. The method may include determining a frame to be a recognition result when a sum of the voting labels at a corresponding position is higher than a threshold.

Method and device for audio recognition using sample audio and a voting matrix

A method for audio recognition comprises: dividing audio data to be recognized to obtain a plurality of frames of audio data; calculating, based on audio variation trends among the plurality of frames and within each of the plurality of frames, a characteristic value for each frame of the audio data to be recognized; and matching the characteristic value of each frame of the audio data to be recognized with a pre-established audio characteristic value comparison table to obtain a recognition result, wherein the audio characteristic value comparison table is established based on the audio variation trends among the frames and within each of the frames of sample data.

Method and device for audio recognition using a voting matrix

For each frame of a video, a determination is made whether an image of a hand exists in the frame. When at least one frame of the video includes the image of the hand, locations of the hand in the frames of the video are tracked to obtain a tracking result. A verification is performed to determine whether the tracking result is valid in a current frame of the frames of the video. When the tracking result is valid in the current frame of the video, a location of the hand is tracked in a next frame. When the tracking result is not valid in the current frame, localized hand image detection is performed on the current frame.

Hand detection and tracking method and device

A method for synthesizing images includes selecting a background image from a plurality of source images and selecting one or more foreground elements from a plurality of source files. The foreground elements include at least one of a foreground image or a foreground text. The method further includes dividing at least a portion of the selected background image to one or more sub-regions for displaying the one or more selected foreground elements, each sub-region is used for displaying at least one foreground element. The method further includes determining a display format and a display location for each of the one or more foreground elements and synthesizing the one or more foreground elements to the corresponding one or more sub-regions of the background image based on the display format and the display location.

Efficient image synthesis

Methods, systems, and computer-readable storage media for voice denoising. Implementations include actions of performing a mathematical transform on each frame signal in an audio signal segment to generate multiple power spectra. Each power spectrum corresponds to a respective frame signal. Power value variances corresponding to frame signals at various frequencies are determined. A noise signal is identified in each frame signal based on the power value variance. The identified noise signal is removed from each frame signal of the plurality of frame signals.

Identification of noise signal for voice denoising device

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for locating a client terminal are provided. One of the methods includes: obtaining, by an audio signal playing terminal, identification information of an object associated with the audio signal playing terminal; watermarking, by the audio signal playing terminal, a to-be-played audio signal based on the identification information to obtain an audio signal having a watermark; and playing, by the audio signal playing terminal, the audio signal having the watermark for a client terminal to collect the audio signal having the watermark and send the audio signal having the watermark or the identification information to a server to enable the server to obtain the identification information and determine a position of the object based on a correspondence between the identification information and the position of the object and thereby to determine a position of the client terminal.

User positioning method, information push method, and related apparatus

Efficient images synthesis

An audio recognition method may comprising performing diffusion processing on a plurality of first feature points in a spectrogram of a to-be-recognized audio file to obtain a feature point map; searching in a spectrogram of a target audio file to determine whether the spectrogram of the target audio file comprises second feature points that respectively correspond to the diffused first feature points in the feature point map; and in response to determining that the spectrogram of the target audio file comprises the second feature points, determining that the to-be-recognized audio file is a part of the target audio file.

Audio recognition method and system

A method, an apparatus, a terminal, and a server for identity authentication are disclosed. The method includes: receiving dynamic face authentication prompt information sent by a server during identity authentication of a user; obtaining gesture recognition information of the dynamic face authentication prompt information by recognizing a facial gesture presented by the user; and sending the gesture recognition information to the server to enable the server to confirm that the identity authentication is successful for the user in response to verifying that the gesture recognition information is consistent with the dynamic face authentication prompt information. Using the embodiments of the present application, a highly secure authentication can be performed on an identity of a user through dynamic face authentication. As compared with existing authentication methods using an authentication password, authentication information will not be stolen by a malicious third party, thus improving the reliability of authentication. Moreover, a user may be recognized as a live user through dynamic face authentication, thereby further improving the accuracy of identity authentication and reducing potential security risks during authentication.

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Hangzhou, China

Zhijun Du