Abstract:
The present application discloses a method, an electronic system and a non-transitory computer readable storage medium for recognizing audio commands in an electronic device. The electronic device obtains audio data based on an audio signal provided by a user and extracts characteristic audio fingerprint features from the audio data. The electronic device further determines whether the corresponding audio signal is generated by an authorized user by comparing the characteristic audio fingerprint features with an audio fingerprint model for the authorized user and with a universal background model that represents user-independent audio fingerprint features, respectively. When the corresponding audio signal is generated by the authorized user of the electronic device, an audio command is extracted from the audio data, and an operation is performed according to the audio command.
Abstract:
A computer system obtains a streaming media signal source, selects a testing sample from the streaming media signal source, records characteristics of the testing sample, and obtains an expected output according to the characteristics of the testing sample. Next, the computer system converts the testing sample into a digital streaming format preset by a service provider and initiates a media recognition request according to the testing sample in the digital streaming format to the service provider. After receiving a media recognition result of the testing sample returned by the service provider according to the media recognition request, the computer system compares the media recognition result with the expected output and indicates whether the service provider is normal in accordance with the comparison result.
Abstract:
A method is performed at an electronic device. The electronic device receives, in a user interface of a social network platform, a to-be-processed interaction message/ The device transmits a message processing request based on the to-be-processed interaction message to a remote server, wherein the remote server identifies one or more target mini application programs based on semantic analysis of the to-be-processed interaction message. The device receives, from the server, a message processing result in accordance with the message processing request. The message processing result includes one or more links to the target mini application programs running on the social network platform. The electronic device displays, in the user interface, a target interaction message for each target mini application program according to the message processing result.
Abstract:
A digital video conversion device is communicatively coupled to a TV set and a TV signal source, respectively, to pass TV signals from the TV signal source to the TV set. Upon receipt of a TV channel identification request from a mobile terminal via a wireless communication channel, the digital video conversion device acquires an image from the TV signals currently broadcasted on the TV set and extracts a plurality of station logo characteristic sets from the image, each station logo characteristic set corresponding to one of a plurality of station logo templates. After calculating a similarity score between each station logo characteristic set and a corresponding station logo template, the digital video conversion device identifies one of the plurality of station logo templates as matching the image based on their similarity scores and returns TV channel information associated with the identified station logo template to the mobile terminal.
Abstract:
A cloud based method and apparatus for monitoring internet usage are provided. The method comprises: receiving a website inquiry instruction sent by a client, wherein the instruction comprises a website identifier; determining whether the website is a website to be monitored; and if the website is a website to be monitored, processing the website inquiry instruction in accordance with a security policy pre-stored in a server, wherein the security policy is set by the client. Since the security policy is stored on a server, it cannot be easily circumvented by the user, and its effectiveness is enhanced.
Abstract:
A method is performed at a backend server. The server receives a to-be-processed interaction message from a user interface of a social network platform. The server performs intention classification on the to-be-processed interaction message, to obtain an intention classification result of the to-be-processed interaction message. The server performs semantic analysis on the to-be-processed interaction message when the intention classification result comprises a mini program intention, to determine a message keyword of the to-be-processed interaction message. The server determines a program identifier of a target mini program corresponding to the to-be-processed interaction message according to the message keyword. The server transmits a message processing result based on the program identifier of the target mini program.
Abstract:
A method is performed at an electronic device. The electronic device receives, in a user interface of a social network platform, a to-be-processed interaction message/ The device transmits a message processing request based on the to-be-processed interaction message to a remote server, wherein the remote server identifies one or more target mini application programs based on semantic analysis of the to-be-processed interaction message. The device receives, from the server, a message processing result in accordance with the message processing request. The message processing result includes one or more links to the target mini application programs running on the social network platform. The electronic device displays, in the user interface, a target interaction message for each target mini application program according to the message processing result.
Abstract:
This application discloses a method and an apparatus for identifying a malicious website, and belongs to the field of the Internet. An apparatus for identifying a malicious website includes interface circuitry and processing circuitry. The interface circuitry receives a request for querying whether a first website is of a malicious website type. The request carries first website information for the first website. The processing circuitry identifies, based on the first website information, whether the first website is of the malicious website type to obtain an identification result for the first website. Further, the processing circuitry obtains, a hyperlink from page content of the first website based on the identification result for the first website and performs an identification to identify whether a second website corresponding to the hyperlink is of the malicious website type.
Abstract:
Provided is a resource processing method performed by a computer device. Feature data respectively corresponding to a plurality of resources are searched. A result of a comparison of feature data of a resource, among the plurality of resources, with feature data of each remaining resource among remaining resources, is respectively determined for each of the plurality of resources. Based on the result of the comparison for each of the plurality of resources, a probability that each resource wins over the remaining resources is determined.
Abstract:
A digital video conversion device is communicatively coupled to a TV set and a TV signal source, respectively, so as to pass TV signals from the TV signal source to the TV set. Upon receipt of a TV channel identification request from a mobile terminal via a wireless communication channel, the digital video conversion device acquires an image from the TV signals currently broadcasted on the TV set and extracts a plurality of station logo characteristic sets from the image, each station logo characteristic set corresponding to one of a plurality of station logo templates. After calculating a similarity score between each station logo characteristic set and a corresponding station logo template, the digital video conversion device identifies one of the plurality of station logo templates as matching the image based on their similarity scores and returns TV channel information associated with the identified station logo template to the mobile terminal.