Patent classifications
H04L65/80
Apparatus, method or computer program for generating a bandwidth-enhanced audio signal using a neural network processor
An apparatus for generating a bandwidth enhanced audio signal from an input audio signal having an input audio signal frequency range includes: a raw signal generator configured for generating a raw signal having an enhancement frequency range, wherein the enhancement frequency range is not included in the input audio signal frequency range; a neural network processor configured for generating a parametric representation for the enhancement frequency range using the input audio frequency range of the input audio signal and a trained neural network; and a raw signal processor for processing the raw signal using the parametric representation for the enhancement frequency range to obtain a processed raw signal having frequency components in the enhancement frequency range, wherein the processed raw signal or the processed raw signal and the input audio signal frequency range of the input audio signal represent the bandwidth enhanced audio signal.
Apparatus, method or computer program for generating a bandwidth-enhanced audio signal using a neural network processor
An apparatus for generating a bandwidth enhanced audio signal from an input audio signal having an input audio signal frequency range includes: a raw signal generator configured for generating a raw signal having an enhancement frequency range, wherein the enhancement frequency range is not included in the input audio signal frequency range; a neural network processor configured for generating a parametric representation for the enhancement frequency range using the input audio frequency range of the input audio signal and a trained neural network; and a raw signal processor for processing the raw signal using the parametric representation for the enhancement frequency range to obtain a processed raw signal having frequency components in the enhancement frequency range, wherein the processed raw signal or the processed raw signal and the input audio signal frequency range of the input audio signal represent the bandwidth enhanced audio signal.
DEVICE RECOMMENDATION METHOD AND ELECTRONIC DEVICE
This application provides a device recommendation method and an electronic device, and relates to the terminal field. The method includes: receiving, by a first device, a first operation of enabling a first service by a user; in response to the first operation, separately obtaining, by the first device from N electronic devices, device parameters associated with the first service, where the N electronic devices and the first device are located in a same communication network; predicting, by the first device according to the device parameters, quality of service of executing the first service by each electronic device of the N electronic devices; and displaying, by the first device, a device list according to the quality of service of executing the first service by each electronic device in the N electronic devices, where the device list includes a device identifier of at least one electronic device in the N electronic devices.
Video data processing method and apparatus
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.
Video data processing method and apparatus
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.
SYSTEM AND METHOD FOR ADAPTING TRANSMISSION RATE COMPUTATION BY A CONTENT TRANSMITTER
A computerized system having multiple congestion control modules for determining a transmission rate for data traffic towards a destination device over a communication network, the transmission rate updated for specific time intervals, each congestion control module repeatedly collects performance-related data describing performance of content transmitted from the congestion control module to the destination device during specific time intervals, each congestion control module executes a transmission function for computing a next transmission rate for a next time interval, the transmission function receives as input performance-related data associated with prior transmission rates selected at prior time intervals, the transmission function including configurable parameters, the system also including one or more analyzers, each analyzer communicating with one or more of the multiple congestion control modules, where each analyzer periodically executes an adjusting function for reconfiguring the configurable parameters of the function for computing the next transmission rate.
SYSTEM AND METHOD FOR ADAPTING TRANSMISSION RATE COMPUTATION BY A CONTENT TRANSMITTER
A computerized system having multiple congestion control modules for determining a transmission rate for data traffic towards a destination device over a communication network, the transmission rate updated for specific time intervals, each congestion control module repeatedly collects performance-related data describing performance of content transmitted from the congestion control module to the destination device during specific time intervals, each congestion control module executes a transmission function for computing a next transmission rate for a next time interval, the transmission function receives as input performance-related data associated with prior transmission rates selected at prior time intervals, the transmission function including configurable parameters, the system also including one or more analyzers, each analyzer communicating with one or more of the multiple congestion control modules, where each analyzer periodically executes an adjusting function for reconfiguring the configurable parameters of the function for computing the next transmission rate.
Electronic device for transmitting a video stream and associated vehicle
An electronic device is for transmitting a video stream, and is able to be embedded in an autonomous motor vehicle. The electronic device includes a convertor for converting the video stream into a video signal transmissible via a transmission channel and a transmitter configured to send, to a monitoring device outside the vehicle, via the transmission channel, a signal for escalating information including said video signal. The electronic transmission device also includes a timestamper configured to repeatedly produce a timestamping signal including at least one piece of information relative to the production date of said timestamping signal. The information escalation signal includes the timestamping signal.
Video playback quality detection method and apparatus
Video playback quality detection methods, systems, and apparatuses are described. The method can include obtaining a first video data packet of a target video from a bearer network and obtaining a data byte quantity of first video data included in the first video data packet. The method may also include determining a buffer byte quantity stored in a video quality detection buffer. Furthermore, the method can include obtaining video frame data rate information corresponding to the target video and reducing the buffer byte quantity stored in the video quality detection buffer based on a video frame rate of the target video and the video frame data rate information of the target video. The method may further include determining a playback status of playing the target video on a video player, and determining video playback quality of the target video based on the playback status. According to the embodiments of the present invention, user experience and accuracy of the video playback quality detection method can be improved.
Video playback quality detection method and apparatus
Video playback quality detection methods, systems, and apparatuses are described. The method can include obtaining a first video data packet of a target video from a bearer network and obtaining a data byte quantity of first video data included in the first video data packet. The method may also include determining a buffer byte quantity stored in a video quality detection buffer. Furthermore, the method can include obtaining video frame data rate information corresponding to the target video and reducing the buffer byte quantity stored in the video quality detection buffer based on a video frame rate of the target video and the video frame data rate information of the target video. The method may further include determining a playback status of playing the target video on a video player, and determining video playback quality of the target video based on the playback status. According to the embodiments of the present invention, user experience and accuracy of the video playback quality detection method can be improved.