Abstract: This application relates to the field of video processing, and discloses a video stitching method and apparatus, an electronic device, and a non-transitory computer-readable storage medium, where the video stitching method includes: detecting a similarity between a first image and a second image, the first image being an image frame of a first to-be-stitched video, and the second image being an image frame of a second to-be-stitched video; then determining a motion vector of the first image relative to the second image when the similarity meets a preset condition; and then determining at least one compensated frame between the first image and the second image according to the motion vector, and stitching the first image and the second image based on the at least one compensated frame to stitch the first to-be-stitched video and the second to-be-stitched video.

Abstract: The embodiments of this application disclose an audio processing method and apparatus, an electronic device, and a storage medium. In the embodiments of this application, a current playback environment of audio may be obtained; audio recognition may be performed on ambient sound of the current playback environment in a case that the current playback environment is in a foreground state; foreground sound in the ambient sound may be determined according to an audio recognition result; the foreground sound in the ambient sound may be classified to determine a type of the foreground sound; and audio mixing may be performed on the foreground sound and the audio to obtain mixed playback sound based on the type of the foreground sound.

Abstract: The embodiments of this application disclose an audio processing method and apparatus, an electronic device, and a storage medium. In the embodiments of this application, a current playback environment of audio may be obtained; audio recognition may be performed on ambient sound of the current playback environment in a case that the current playback environment is in a foreground state; foreground sound in the ambient sound may be determined according to an audio recognition result; the foreground sound in the ambient sound may be classified to determine a type of the foreground sound; and audio mixing may be performed on the foreground sound and the audio to obtain mixed playback sound based on the type of the foreground sound.

Abstract: This application relates to the field of video processing, and discloses a video stitching method and apparatus, an electronic device, and a non-transitory computer-readable storage medium, where the video stitching method includes: detecting a similarity between a first image and a second image, the first image being an image frame of a first to-be-stitched video, and the second image being an image frame of a second to-be-stitched video; then determining a motion vector of the first image relative to the second image when the similarity meets a preset condition; and then determining at least one compensated frame between the first image and the second image according to the motion vector, and stitching the first image and the second image based on the at least one compensated frame to stitch the first to-be-stitched video and the second to-be-stitched video.

Abstract: A video monitoring method and device are described. The method includes obtaining a video image data and a group to which a member belongs; screening the obtained video image data according to a permission mapping table and the obtained group; and displaying the screened video image data. With embodiments of the method and device, by reconstructing video monitoring contents and generating the video data required by a user according to the customization of different types of member groups, on the one hand, the purpose of the personalized browsing and privacy protection of the customized content is achieved to better ensure the security of video monitoring, thereby protecting the privacy of the video monitoring contents; on the other hand, actual workload of monitoring personnel is greatly reduced without reducing user perception, the transmission bandwidth is saved.

Abstract: Disclosed is an apparatus and method for a computing device to determine if an application is malware. The computing device may include: a query logger to log the behavior of the application on the computing device to generate a log; a behavior analysis engine to analyze the log from the query logger to generate a behavior vector that characterizes the behavior of the application; and a classifier to classify the behavior vector for the application as benign or malware.

Abstract: Disclosed is an apparatus and method for a computing device to determine if an application is malware. The computing device may include: a query logger to log the behavior of the application on the computing device to generate a log; a behavior analysis engine to analyze the log from the query logger to generate a behavior vector that characterizes the behavior of the application; and a classifier to classify the behavior vector for the application as benign or malware.

Abstract: A remote home health care system is described.

Abstract: A method for switching pictures of picture galleries and a browser are described. After receiving a picture switching instruction, judging whether an original picture gallery corresponding to an original picture displayed on a picture gallery interface and a target picture gallery corresponding to a target picture are a same gallery. If the original picture gallery and the target picture gallery are different, generating a picture gallery-picture gradual change switch mode. According to the picture gallery-picture gradual change switch mode, switching the original picture displayed on the picture gallery interface to the target picture.

Abstract: A method and server updates service information. A service information update request may be received from a mobile terminal device. The service information update request may include a user Identity (ID) of a user. Characteristic information of the user may be determined according to the user ID. Service information may be determined according to the characteristic information of the user and information relating to an area, at which the mobile terminal device may be located. The service information may be sent to the mobile terminal device.

Abstract: A capability open platform, a device identification method and a gateway for implementing PNP management of a terminal device are provided, wherein the capability open platform is used to identify a terminal device which has not been connected to a gateway according to the label information uploaded by the gateway, thus implementing the PNP of the terminal device which is not supported. The method includes that the gateway acquires the label information of a terminal device by a terminal authorization mechanism, calls the device identification service of the capability open platform to identify the terminal device that has not been connected to the gateway. The disclosure enables the gateway to identify the terminal device which is not under the protocols supported by the gateway but needed to be connected, so as to be compatible with PNP management and service of all a terminal device.

Abstract: The virtual companion described herein is able to respond realistically to tactile input, and through the use of a plurality of live human staff, is able to converse with true intelligence with whomever it interacts with. The exemplary application is to keep older adults company and improve mental health through companionship.

Abstract: Disclosed is an apparatus and method for a computing device to determine if an application is malware. The computing device may include: a query logger to log the behavior of the application on the computing device to generate a log; a behavior analysis engine to analyze the log from the query logger to generate a behavior vector that characterizes the behavior of the application; and a classifier to classify the behavior vector for the application as benign or malware.

Abstract: Disclosed is an apparatus and method for a computing device to determine if an application is malware. The computing device may include: a query logger to log the behavior of the application on the computing device to generate a log; a behavior analysis engine to analyze the log from the query logger to generate a behavior vector that characterizes the behavior of the application; and a classifier to classify the behavior vector for the application as benign or malware.