Aspects relate to systems and methods for parsing and correlating solicitation video content. An exemplary system includes a computing device configured to receive a solicitation video related to a subject, where the solicitation video includes at least an image component and at least an audio component, where the audio component includes audible verbal content related to at least an attribute of the subject, transcribe at least a keyword as a function of the audio component, and associate the subject with at least a job description as a function of the at least a keyword.

Intelligent reframing techniques are described in which content (e.g., a movie) can be generated in a different aspect ratio than previously provided. These techniques include obtaining various video frames having a first aspect ratio. Various objects can be identified within the frames. An object having the highest degree of importance in a frame can be selected and a focal point can be calculated based at least in part on that object. A modified version of the content can be generated in a second aspect ratio that is different from the first aspect ratio. The modified version can be generated using the focal point calculated based on the object having the greatest degree of importance. Using these techniques, the content can be provided in a different aspect ratio while ensuring that the most important features of the frame still appear in the new version of the content.

Intelligent reframing techniques are described in which content (e.g., a movie) can be generated in a different aspect ratio than previously provided. These techniques include obtaining various video frames having a first aspect ratio. Various objects can be identified within the frames. An object having the highest degree of importance in a frame can be selected and a focal point can be calculated based at least in part on that object. A modified version of the content can be generated in a second aspect ratio that is different from the first aspect ratio. The modified version can be generated using the focal point calculated based on the object having the greatest degree of importance. Using these techniques, the content can be provided in a different aspect ratio while ensuring that the most important features of the frame still appear in the new version of the content.

A method includes receiving uncompilable code from a candidate. The method further includes extracting features from the uncompilable code. The method further includes outputting, with a coding machine-learning model, compilable code based on the uncompilable code and the extracted features. The method further includes generating a coding score based on the uncompilable code and the compilable code. The method further includes receiving first media of one or more answers to questions provided by the candidate during an interview. The method further includes outputting, with a media machine-learning model, one or more corresponding ratings for the one or more answers. The method further includes generating a media score based on the one or more corresponding ratings. The method further includes generating a total score based on the coding score and the media score.

A method includes receiving uncompilable code from a candidate. The method further includes extracting features from the uncompilable code. The method further includes outputting, with a coding machine-learning model, compilable code based on the uncompilable code and the extracted features. The method further includes generating a coding score based on the uncompilable code and the compilable code. The method further includes receiving first media of one or more answers to questions provided by the candidate during an interview. The method further includes outputting, with a media machine-learning model, one or more corresponding ratings for the one or more answers. The method further includes generating a media score based on the one or more corresponding ratings. The method further includes generating a total score based on the coding score and the media score.

Disclosed are a video generation method and apparatus, an electronic device, and a computer readable medium. A specific embodiment of the method comprises: obtaining a video footage and an audio footage, the video footage comprising a picture footage; determining a music point of the audio footage, the music point being used for dividing the audio footage into a plurality of audio clips; using the video footage to generate a video clip for each music clip in the audio footage to obtain a plurality of video clips, corresponding music clips and video clips having the same duration; and splicing the plurality of video clips according to the time when music clips respectively corresponding to the plurality of video clips appear in the audio footage, and adding the audio footage as a video audio signal to obtain a composite video.

Disclosed are a video generation method and apparatus, an electronic device, and a computer readable medium. A specific embodiment of the method comprises: obtaining a video footage and an audio footage, the video footage comprising a picture footage; determining a music point of the audio footage, the music point being used for dividing the audio footage into a plurality of audio clips; using the video footage to generate a video clip for each music clip in the audio footage to obtain a plurality of video clips, corresponding music clips and video clips having the same duration; and splicing the plurality of video clips according to the time when music clips respectively corresponding to the plurality of video clips appear in the audio footage, and adding the audio footage as a video audio signal to obtain a composite video.

Embodiments of the present disclosure provide an audio processing method and an electronic device. The method includes: first obtaining text information corresponding to a to-be-processed audio, where the text information includes a to-be-processed text and a playback period corresponding to each field in the to-be-processed text; then receiving a first input on the to-be-processed text; in response to the first input, determining, as a to-be-processed field, a field indicated by the first input in the to-be-processed text; then receiving a second input on the to-be-processed field; obtaining a target audio segment in response to the second input; and finally modifying an audio segment at a playback period corresponding to the to-be-processed field according to the target audio segment, to obtain a target audio.

Embodiments of the present disclosure provide an audio processing method and an electronic device. The method includes: first obtaining text information corresponding to a to-be-processed audio, where the text information includes a to-be-processed text and a playback period corresponding to each field in the to-be-processed text; then receiving a first input on the to-be-processed text; in response to the first input, determining, as a to-be-processed field, a field indicated by the first input in the to-be-processed text; then receiving a second input on the to-be-processed field; obtaining a target audio segment in response to the second input; and finally modifying an audio segment at a playback period corresponding to the to-be-processed field according to the target audio segment, to obtain a target audio.

In aspects of personal content managed during extended display screen recording, a screen recording system includes a wireless device that provides digital image content for display on an extended display device, and a screen recording session on the wireless device captures the digital image content and audio data. The wireless device implements a content control module that can determine the screen recording session would capture personal content associated with a user of the wireless device. The content control module can initiate a private screen review mode in which the personal content is displayable on a display screen of the wireless device and is prevented from visual display on the extended display device. The content control module can also generate a shareable screen recording that includes the audio data and the digital image content displayed on the extended display device, without including the personal content.