Abstract: Techniques are described that classify content, and control whether and how the content is shared based on the classification(s). In some examples, video content may be classified based on sequential image frames of the video, and time between the sequential image frames. Audio content may be classified based on combining classifications of multiple sound events in the audio signal. The classifications may be used to control how the content is shared, such as by preventing offensive content from being shared and/or outputting recommendations or search results based on the classifications.

Abstract: Techniques are described that classify content, and control whether and how the content is shared based on the classification(s). In some examples, video content may be classified based on sequential image frames of the video, and time between the sequential image frames. Audio content may be classified based on combining classifications of multiple sound events in the audio signal. The classifications may be used to control how the content is shared, such as by preventing offensive content from being shared and/or outputting recommendations or search results based on the classifications.

Abstract: The present disclosure provides a method and an apparatus for determining positioning information of a vehicle, an electronic device, a storage medium and a computer program product, relating to the field of artificial intelligence, in particular to the field of intelligent driving. The method includes: receiving positioning results and error ranges of the positioning results from at least two positioning subsystems in a vehicle; determining reliability detection results of the positioning results of the positioning subsystems according to the error ranges of the positioning results; and determining positioning information of the vehicle according to a first positioning result of a positioning subsystem whose reliability detection result is “reliable”, and determining an error range of the positioning information, where the error range of the positioning information represents a confidence level of the positioning information.