Abstract: Embodiments of the disclosure relates to a method and apparatus for adjusting the speed of multimedia clip, a device and a medium. The method includes: on an audio and video editing track, segmenting a multimedia material fragment into a plurality of segments; in response to a moving operation on a first control point, adjusting a speed change value according to the position of the first control point on the editing track, and controlling the speed of the video frame in the target segment to change according to the adjusted speed change value; adjusting the display length of the target segment on the editing track according to the playback duration after the speed change; in response to a moving operation on a second control point, adjusting the slope of the speed curve according to the position of the second control point on the target segment, and controlling the speed of video frames in the target segment to change in speed according to the speed curve after the slope adjustment.

Abstract: A method for video editing comprises: presenting a template publishing interface based on a target video draft; the template publishing interface comprises an edit track area, the edit track area comprises a plurality of edit tracks, and material track segments formed based on at least part of a material of the target video draft are presented on the plurality of edit tracks; the target video draft comprises a material and edit information, the edit information indicates an edit operation on the material; determining a replaceable material in the target video draft in response to a setting operation on a first target track segment in the material track segments; generating a target video template based on the target video draft and the replaceable material; the target video template is used to achieve a video editing effect of replacing a replaceable material with a filled material based on the target video draft.

Abstract: A method for video editing comprises: presenting a template publishing interface based on a target video draft; the template publishing interface comprises an edit track area, the edit track area comprises a plurality of edit tracks, and material track segments formed based on at least part of a material of the target video draft are presented on the plurality of edit tracks; the target video draft comprises a material and edit information, the edit information indicates an edit operation on the material; determining a replaceable material in the target video draft in response to a setting operation on a first target track segment in the material track segments; generating a target video template based on the target video draft and the replaceable material; the target video template is used to achieve a video editing effect of replacing a replaceable material with a filled material based on the target video draft.

Abstract: A method includes: displaying a first interface; obtaining a brightness parameter; obtaining a first image stream, wherein the first image stream is an image stream of first color space; determining, based on the ambient brightness, to perform first target processing and/or second target processing on the first image stream to obtain a fifth image stream, wherein the first target processing comprises first image processing, the first image processing is used to convert the first image stream into second color space, the second target processing comprises second image processing and third image processing, the second image processing comprises downsampling and image enhancement, and the third image processing is used to convert an image stream obtained after the second image processing into the second color space; and displaying and/or storing the fifth image stream.

Abstract: The present application relates to a method, an apparatus, an electronic device, and a readable storage medium for video editing. The method comprises: obtaining a video editing template, importing corresponding target video material into one or more specified video segments indicated by the video editing template; in response to a triggering operation for forming a composite segment, combining the target video material imported on the one or more specified video segments with a specified editing operation indicated by the video editing template to form a target composite segment, and adding the target composite segment on a first video editing track. By combining the composite segment function with the video editing template, the user can edit the composite segment as a whole, improving the processing efficiency of the user using the video editing template for video editing.

Abstract: Embodiments of the disclosure relates to a method and apparatus for adjusting the speed of multimedia clip, a device and a medium. The method includes: on an audio and video editing track, segmenting a multimedia material fragment into a plurality of segments; in response to a moving operation on a first control point, adjusting a speed change value according to the position of the first control point on the editing track, and controlling the speed of the video frame in the target segment to change according to the adjusted speed change value; adjusting the display length of the target segment on the editing track according to the playback duration after the speed change; in response to a moving operation on a second control point, adjusting the slope of the speed curve according to the position of the second control point on the target segment, and controlling the speed of video frames in the target segment to change in speed according to the speed curve after the slope adjustment.

Abstract: Embodiments of the present disclosure provide a method and apparatus of video editing, an electronic device and a storage medium. The method comprises: determining an ineffective text in a speech text of a target video and a timeline position of the ineffective text by performing speech recognition on an audio in the target video; presenting an editing track segment of the target video on an editing interface of the target video, and identifying a timeline interval of the ineffective text on the editing track segment based on the timeline position of the ineffective text; in response to an adjustment operation on the ineffective text, adjusting the timeline interval of the ineffective text on the editing track segment of the target video; in response to a video segment deleting operation on the ineffective text, deleting a video segment of the editing track segment within the timeline interval of the ineffective text from the target video.

Abstract: Embodiments of the present disclosure provide a method and apparatus of video editing, an electronic device and a storage medium. The method comprises: determining an ineffective text in a speech text of a target video and a timeline position of the ineffective text by performing speech recognition on an audio in the target video; presenting an editing track segment of the target video on an editing interface of the target video, and identifying a timeline interval of the ineffective text on the editing track segment based on the timeline position of the ineffective text; in response to an adjustment operation on the ineffective text, adjusting the timeline interval of the ineffective text on the editing track segment of the target video; in response to a video segment deleting operation on the ineffective text, deleting a video segment of the editing track segment within the timeline interval of the ineffective text from the target video.

Abstract: The present application relates to a method, an apparatus, an electronic device, and a readable storage medium for video editing. The method comprises: obtaining a video editing template, importing corresponding target video material into one or more specified video segments indicated by the video editing template; in response to a triggering operation for forming a composite segment, combining the target video material imported on the one or more specified video segments with a specified editing operation indicated by the video editing template to form a target composite segment, and adding the target composite segment on a first video editing track. By combining the composite segment function with the video editing template, the user can edit the composite segment as a whole, improving the processing efficiency of the user using the video editing template for video editing.

Abstract: An image processing method and an electronic device are provided. The image processing method includes: displaying a first interface, where the first interface includes a first control; detecting a first operation on the first control; obtaining a first image stream in response to the first operation, where the first image stream is an image stream of first color space; converting the first image stream into a second image stream of second color space according to a demosaicing algorithm; performing downsampling and resampling on the second image stream to obtain a third image stream, where the third image stream is an image stream of the first color space, and a size of the third image stream is less than that of the first image stream; and performing image processing on the third image stream to obtain a fourth image stream.

Abstract: Systems and methods are disclosed for providing predictive distance-to-empty (DTE) assessments for vehicles that can include electric, gas, or hybrid vehicles. An example method includes determining a plurality of learned parameters of vehicle operation of a vehicle based on a plurality of energy consumption parameters of the vehicle; determining a plurality of predictive parameters of vehicle operation of the vehicle selected from any combination of weather data or navigation data, the navigation data being determined relative to a planned route and applying a DTE function for the energy source, the DTE function utilizing the plurality of learned parameters of vehicle operation, and the plurality of predictive parameters of vehicle operation of the vehicle, based on a current capacity of the energy source to determine a DTE for the vehicle.

Abstract: Augmented reality displays for locating vehicles are disclosed herein. An example method includes determining a current location of a mobile device associated with a user, determining a current location of a vehicle, and generating augmented reality view data that includes a first arrow that identifies a path of travel for the ridehail user towards the vehicle. The path of travel is based on the current location of the mobile device and the current location of the vehicle. The first arrow is combined with a view obtained by a camera of the mobile device or a view obtained by a camera of the vehicle.

Abstract: Systems and methods are disclosed for providing predictive distance-to-empty (DTE) assessments for vehicles that can include electric, gas, or hybrid vehicles. An example method includes determining a plurality of learned parameters of vehicle operation of a vehicle based on a plurality of energy consumption parameters of the vehicle; determining a plurality of predictive parameters of vehicle operation of the vehicle selected from any combination of weather data or navigation data, the navigation data being determined relative to a planned route and applying a DTE function for the energy source, the DTE function utilizing the plurality of learned parameters of vehicle operation, and the plurality of predictive parameters of vehicle operation of the vehicle, based on a current capacity of the energy source to determine a DTE for the vehicle.

Abstract: A server includes a processor, programmed to receive a vehicle location from a vehicle, receive a weather condition of the vehicle location from a cloud server, responsive to receiving a calendar of a user including an event, calculate a departure time based on the vehicle location and a location of the event, responsive to receiving a desired cabin temperature of the user from a mobile device, calculate a minimum time for the vehicle to reach the desired cabin temperature based on the weather condition, calculate a vehicle start time using the departure time and the minimum time, and send an instruction to the vehicle to start at the vehicle start time.

Abstract: Systems and methods are disclosed for providing predictive distance-to-empty (DTE) assessments for vehicles that can include electric, gas, or hybrid vehicles. An example method includes determining a plurality of learned parameters of vehicle operation of a vehicle based on a plurality of energy consumption parameters of the vehicle; determining a plurality of predictive parameters of vehicle operation of the vehicle selected from any combination of weather data or navigation data, the navigation data being determined relative to a planned route and applying a DTE function for the energy source, the DTE function utilizing the plurality of learned parameters of vehicle operation, and the plurality of predictive parameters of vehicle operation of the vehicle, based on a current capacity of the energy source to determine a DTE for the vehicle.

Abstract: This disclosure describes systems and methods for determining tire inflation pressure loss. An example method may include receiving first tire pressure data for a first tire of a vehicle at a first time. The example method may also include receiving second tire pressure data for the first tire at a second time. The example method may also include identifying a slow leak in the first tire based on a relationship between the first tire pressure data and the second tire pressure data. The example method may also include causing to send an alert to a user.

Abstract: Augmented reality displays for locating vehicles are disclosed herein. An example method includes determining a current location of a mobile device associated with a user, determining a current location of a vehicle, and generating augmented reality view data that includes a first arrow that identifies a path of travel for the ridehail user towards the vehicle. The path of travel is based on the current location of the mobile device and the current location of the vehicle. The first arrow is combined with a view obtained by a camera of the mobile device or a view obtained by a camera of the vehicle.

Abstract: A server includes a processor, programmed to receive a vehicle location from a vehicle, receive a weather condition of the vehicle location from a cloud server, responsive to receiving a calendar of a user including an event, calculate a departure time based on the vehicle location and a location of the event, responsive to receiving a desired cabin temperature of the user from a mobile device, calculate a minimum time for the vehicle to reach the desired cabin temperature based on the weather condition, calculate a vehicle start time using the departure time and the minimum time, and send an instruction to the vehicle to start at the vehicle start time.

Abstract: Systems and methods are disclosed for providing predictive distance-to-empty (DTE) assessments for vehicles that can include electric, gas, or hybrid vehicles. An example method includes determining a plurality of learned parameters of vehicle operation of a vehicle based on a plurality of energy consumption parameters of the vehicle; determining a plurality of predictive parameters of vehicle operation of the vehicle selected from any combination of weather data or navigation data, the navigation data being determined relative to a planned route and applying a DTE function for the energy source, the DTE function utilizing the plurality of learned parameters of vehicle operation, and the plurality of predictive parameters of vehicle operation of the vehicle, based on a current capacity of the energy source to determine a DTE for the vehicle.

Abstract: Systems, methods, and computer-readable media are disclosed for optimizing vehicle scheduling in routes for fleet management. Example methods may include determining traffic data associated with one or more routes for at least one first vehicle of a fleet and determining one or more parameters from the traffic data; performing at least one first artificial intelligence (AI)-based algorithm using the one or more parameters to determine a social travel time associated with one or more second vehicles; and performing at least one second AI-based algorithm based at least in part on the social travel time to determine one or more impact parameters.