WO2021213191A1 - 视频处理方法、终端及计算机可读存储介质 - Google Patents

视频处理方法、终端及计算机可读存储介质 Download PDF

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Publication number
WO2021213191A1
WO2021213191A1 PCT/CN2021/086320 CN2021086320W WO2021213191A1 WO 2021213191 A1 WO2021213191 A1 WO 2021213191A1 CN 2021086320 W CN2021086320 W CN 2021086320W WO 2021213191 A1 WO2021213191 A1 WO 2021213191A1
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Prior art keywords
video image
target object
video
keyword information
trigger signal
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PCT/CN2021/086320
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English (en)
French (fr)
Inventor
纪德威
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中兴通讯股份有限公司
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Publication of WO2021213191A1 publication Critical patent/WO2021213191A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/222—Studio circuitry; Studio devices; Studio equipment
    • H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • H04N21/47205—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for manipulating displayed content, e.g. interacting with MPEG-4 objects, editing locally

Definitions

  • the embodiments of the present application relate to, but are not limited to, the field of information technology, and in particular, to a video processing method, a terminal, and a computer-readable storage medium.
  • VLOG Video Log
  • VLOG video podcasting
  • an embodiment of the present application provides a video processing method, which is applied to a terminal, and includes
  • the video image is acquired, the trigger signal is acquired, the target object in the video image corresponding to the trigger signal is determined according to the trigger signal, and the target object is highlighted in the video image according to the trigger signal.
  • the embodiments of the present application also provide a terminal, including: a memory, a processor, and a computer program stored in the memory and capable of running on the processor.
  • the processor implements the above-mentioned video processing when the computer program is executed. method.
  • an embodiment of the present application further provides a computer-readable storage medium storing computer-executable instructions, and the computer-executable instructions are used to execute the video processing method described above.
  • FIG. 1 is a schematic diagram of an architecture platform for executing a video processing method provided by an embodiment of the present application
  • FIG. 2 is a flowchart of a video processing method provided by an embodiment of the present application.
  • FIG. 3 is a flowchart of a video processing method provided by another embodiment of the present application.
  • FIG. 4 is a flowchart of a video processing method provided by another embodiment of the present application.
  • FIG. 5 is a flowchart of a video processing method provided by another embodiment of the present application.
  • FIG. 6 is a flowchart of a video processing method provided by another embodiment of the present application.
  • FIG. 7 is a schematic diagram of a method for performing video processing using a terminal according to an embodiment of the present application.
  • FIG. 8 is a schematic diagram of a method for performing video processing using a terminal according to another embodiment of the present application.
  • This application provides a video processing method, terminal, and computer-readable storage medium.
  • a trigger signal is acquired, and the target object in the video image corresponding to the trigger signal is determined according to the trigger signal. Then, according to the trigger The signal causes the target object to be highlighted in the video image. Therefore, when the video image is acquired, for example, when the user is shooting a video and the terminal acquires the video image, the target object in the video image can be processed according to the trigger signal.
  • the target object can be highlighted in the video image in the process of shooting the video, that is, the operation of enabling the target object to be highlighted in the video image is completed when the user is shooting the video, so it can save the user’s attention to the video.
  • the post-editing process can improve the user experience.
  • FIG. 1 is a schematic diagram of an architecture platform for executing a video processing method provided by an embodiment of the present application.
  • the architecture platform includes a memory 110, a processor 120, a pickup 130, a touch screen 140, a camera 150 and a communication module 160.
  • the memory 110, the pickup 130, the touch screen 140, the camera 150 and the communication module 160 are electrically connected to the processor 120, respectively.
  • the memory 110 and the processor 120 may be connected through a bus or other methods. In FIG. 1, the connection through a bus is taken as an example.
  • the pickup 130 can acquire the user's voice signal
  • the touch screen 140 can acquire the position coordinates of the touch operation
  • the camera 150 can acquire a scene image
  • the processor 120 can convert the scene image acquired by the camera 150 into a video image and display it
  • the communication module 160 can perform data interaction with a base station or a server.
  • a semantic analysis extraction module and a touch screen event response module are constructed in the processor 120, wherein both the semantic analysis extraction module and the touch screen event response module can be started and run in the background.
  • the semantic analysis extraction module can analyze and process the voice signal output by the pickup 130, and can extract keyword information in the voice signal; the touch screen event response module can output corresponding response signals according to the user's operation on the touch screen 140, For example, it can recognize the user's click operation on the touch display screen 140 and output the coordinate parameters in the touch display screen 140 corresponding to the clicked position. For another example, it can recognize the user's touch sliding on the touch display screen 140 and output the touch position. Corresponding sliding track parameters in the touch display screen 140.
  • the operation of starting the semantic analysis extraction module may be performed before opening the video image or performing video shooting, or may be performed during video playback or video shooting, which is not specifically limited in this embodiment.
  • the method of starting the semantic analysis extraction module can be started by a voice operation, or can be started by clicking a function button, which is not specifically limited in this embodiment.
  • the architecture platform can be applied to different smart terminal devices such as smart phones, tablet computers, video cameras, or sports cameras, which is not specifically limited in this embodiment.
  • the memory 110 can be used to store non-transitory software programs and non-transitory computer-executable programs.
  • the memory 110 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices.
  • the memory 110 may optionally include memories remotely provided with respect to the processor 120, and these remote memories may be connected to the architecture platform through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
  • the architecture platform described in the embodiments of this application is to illustrate the technical solutions of the embodiments of this application more clearly, and does not constitute a limitation on the technical solutions provided in the embodiments of this application.
  • Those skilled in the art will know that with the evolution of terminal technology and With the emergence of new application scenarios, the technical solutions provided in the embodiments of this application are equally applicable to similar technical problems.
  • FIG. 1 does not constitute a limitation to the embodiment of the present application, and may include more or less components than those shown in the figure, or combine certain components. , Or different component arrangements.
  • various modules and devices can cooperate with each other to execute the video processing method.
  • FIG. 2 is a flowchart of a video processing method provided by an embodiment of the present application.
  • the video processing method includes but is not limited to step S100, step S200, step S300, and step S400.
  • Step S100 Obtain a video image.
  • the operation of obtaining video images can have different implementations.
  • the video image can be obtained by opening the camera function of the terminal for video shooting, it can also be downloaded from the server, or it can be saved in the terminal by opening it. This embodiment does not specifically limit this.
  • the corresponding application scene can be a live broadcast scene or a general video recording scene, etc.; when the video image is downloaded from the server When obtained, the corresponding application scenario can be for the user to browse videos online or watch network programs, etc.; when the video image is obtained by opening the local video saved in the terminal, the corresponding application scenario can be for the user before publishing the locally saved video image. Edit processing, etc.
  • Step S200 Acquire a trigger signal.
  • the trigger signal can have different implementations.
  • the trigger signal may be a signal generated when the user directly operates the terminal, for example, the signal generated when the user operates the physical buttons of the terminal, or the signal generated when the user operates the touch screen of the terminal; It may also be the user's voice signal, for example, the user's speech sound obtained by the pickup in the terminal.
  • the trigger signal after the trigger signal is acquired, the trigger signal can be analyzed and processed, so that the video image can be processed according to the trigger signal in the subsequent steps.
  • Step S300 Determine the target object corresponding to the trigger signal in the video image according to the trigger signal.
  • the target object in the video image corresponding to the trigger signal can be determined according to the trigger signal, so that the target object can be performed in the subsequent steps.
  • the trigger signal is a signal generated when the user performs a direct operation on the terminal
  • the user's operating position in the video image can be identified based on the trigger signal, and then the target in the video image is determined according to the operating position Object.
  • Example 1 Assuming that the terminal is a smart phone, when the user uses the camera function of the smart phone to take a video, the user selects a scene of interest on the touch screen and clicks on the position of the scene in the video image.
  • the touch screen event response signal generated by the click operation is the trigger signal. Therefore, the smart phone will recognize the user's click position in the video image according to the touch screen event response signal corresponding to the click operation, and then determine according to the click position The target object in the video image.
  • Example 2 Assuming that the terminal is a sports camera, and the sports camera is equipped with direction keys and confirmation keys, when the user uses the direction keys to operate, the screen of the sports camera can display a pointer mark, and the direction keys can change the position of the pointer mark .
  • the user uses the arrow keys to change the position of the pointer mark and select the scene of interest.
  • the user selects the scene of interest and moves the pointer mark to the position of the scene in the video image .
  • the pressed confirmation key will generate a trigger signal. Therefore, the motion camera will recognize the position of the pointer mark in the video image according to the trigger signal, and then according to the position of the pointer mark Determine the target object in the video image.
  • the keyword information carried by the voice signal can be recognized, so as to determine the target object selected by the user in the video image according to the keyword information.
  • the terminal is a smart phone
  • the smart phone when the user turns on the semantic analysis extraction module of the smart phone and uses the camera function of the smart phone for video shooting, the smart phone will obtain the user's voice signal through the pickup, and identify and extract the voice signal through the semantic analysis extraction module
  • the carried keyword information obtains the scene in the video image corresponding to the keyword information through voice analysis of the keyword information, and the scene is the target object that the user is interested in.
  • step S400 the target object is highlighted in the video image according to the trigger signal.
  • the target object is highlighted in the video image according to the trigger signal, and there may be different implementation manners.
  • a circle can be added to the target object according to the trigger signal so that the target object can be highlighted in the video image;
  • an arrow indicator can be added to the target object according to the trigger signal so that the target object can be highlighted in the video image;
  • the special effects Including but not limited to lighting, zooming, changing color, etc., and the special effect can be at least one of multiple modes such as lighting, zooming, and changing color. It is worth noting that, according to the specific implementation manner of highlighting the target object in the video image according to the trigger signal, an adaptive selection can be made according to the actual application situation, which is not specifically limited in this embodiment.
  • the terminal can acquire the video image.
  • the target object in the video image corresponding to the trigger signal is determined, and then the target object can be highlighted in the video image according to the trigger signal, so that the target object can be distinguished from other sceneries in the video image, and the user's understanding of the target object can be achieved. Focus on the purpose of the introduction. Because the operation of highlighting the target object in the video image is completed when the user is shooting the video, the user does not need to edit the video image to highlight the target object in the video image, so it can save the video image
  • the post-editing process can improve the user experience.
  • step S200 includes a touch screen event response signal
  • step S300 may specifically include but is not limited to the following steps:
  • Step S310 Determine the selected trigger position in the video image according to the touch screen event response signal
  • Step S320 Determine the target object corresponding to the touch screen event response signal according to the trigger position.
  • the selected trigger position in the video image can be determined according to the touch screen event response signal, such as the user's click position in the video image, or the user's click position in the video image.
  • the target object corresponding to the touch screen event response signal is determined according to the trigger position, for example, the coordinate parameter of the user's click position in the video image is obtained, and the corresponding target object is determined according to the coordinate parameter, Or, obtain the sliding track parameter of the user's touch sliding in the video image, and determine the corresponding target object according to the sliding track parameter.
  • the target object can be processed in a subsequent step, so that the target object can be highlighted in the video image.
  • the video processing method further includes but is not limited to the following steps:
  • Step S400 acquiring a first voice signal
  • Step S500 Mark and annotate the target object in the video image according to the first voice signal.
  • the first voice signal of the user can be acquired, and the target object can be marked and annotated in the video image according to the first voice signal to achieve
  • the post-editing processing of video images can improve the user experience.
  • the semantic analysis and extraction module of the terminal can be activated to identify and extract the signal content in the first voice signal. Then, the signal content in the first voice signal can be used to mark and annotate the target object, or it can be based on the first voice signal.
  • the signal content in a voice signal obtains a preset annotation stored in the terminal or stored in the server, and uses the preset annotation to mark an annotation on the target object. It is worth noting that the specific implementation for marking and annotation of the target object can be selected according to actual application conditions, which is not specifically limited in this embodiment.
  • the operation of starting the semantic analysis extraction module can be performed before opening the video image or video shooting, or during video playback or video shooting, which is not specifically limited in this embodiment.
  • the method of starting the semantic analysis extraction module can be started by a voice operation, or can be started by clicking a function button, which is not specifically limited in this embodiment.
  • step S500 includes but is not limited to the following steps:
  • Step S510 Acquire first keyword information in the first voice signal
  • Step S520 Use the first keyword information to mark and annotate the target object in the video image.
  • the semantic analysis and extraction module of the terminal can be activated to identify and extract the first keyword information in the first voice signal, and then mark the target object according to the first keyword information in the first voice signal.
  • the operation of annotations to achieve the purpose of displaying the relevant content of the user's introduction to the target object. Since the operation of displaying the relevant introduction content of the target object is completed when the user processes the video image, for example, when the user performs the video shooting, that is, the user does not need to edit the video image afterwards, so it can save the time.
  • the post-editing processing of video images can improve the user experience.
  • the first keyword information may be the complete information of the first voice signal, or may be part of the information in the first voice signal, which can be adapted according to actual application conditions, and this embodiment is not specific about this. limited.
  • the terminal or the server may store related preset keyword information. After the terminal obtains the first voice signal, the first voice signal can be stored in the terminal. The information in the first voice signal is compared with the preset keyword information, or the terminal sends the first voice signal to the server so that the server compares the information in the first voice signal with the preset keyword information.
  • the content of the matched preset keyword information is the content of the first keyword information.
  • the display position of the annotation corresponding to the target object may be displayed in a position other than the position of the target object in the video image, for example, it may be displayed in a relatively consistent background color outside the position of the target object. Area, or the area where the background scene is relatively monotonous that can be displayed outside the location of the target object. Therefore, the annotations corresponding to the target object displayed in the video image will not block the target object, so that the user can be reached The purpose of focusing on the target audience.
  • the annotation corresponding to the target object may be displayed in the full text of the video image, or may be displayed in the video image in a scrolling manner of text, which is not specifically limited in this embodiment. It is worth noting that the annotation corresponding to the target object displayed in the video image may be blanked after being displayed for a certain period of time, or may be blanked after the user has introduced the target object, which is not specifically limited in this embodiment. In addition, judging that the user has introduced the target object can be determined by switching the video screen, or by the user's voice signal, or by continuously setting the duration, which is not specifically limited in this embodiment.
  • step S500 further includes the following steps:
  • Step S530 Obtain a preset annotation corresponding to the first keyword information according to the first keyword information, and mark the target object with the preset annotation in the video image.
  • step S530 in this embodiment and step S520 in the embodiment shown in FIG. 5 are parallel technical solutions.
  • This embodiment actually includes step S510 and step S530. In order to avoid duplication of content, this embodiment Only the content of step S530 is specifically described in.
  • the preset annotations stored in the terminal or stored in the server may be obtained according to the first keyword information, and the preset annotations may be used.
  • Annotation Marks annotations on the target object in order to achieve the purpose of displaying relevant introduction content corresponding to the target object. Since the operation of displaying the relevant introduction content of the target object is completed when the user processes the video image, for example, when the user performs the video shooting, that is, the user does not need to edit the video image afterwards, so it can save the time.
  • the post-editing processing of video images can improve the user experience.
  • the preset annotation may be a text content that is stored in advance and is associated with specific keyword information, and the terminal or server may store the preset annotation associated with the specific keyword information, for example, assuming a specific keyword If the information is "Red Flag", the preset annotation can be text content related to "Red Flag” such as history, size or production process, and the terminal can store the preset annotation.
  • the terminal can read from the memory a preset annotation about the history, size, or production process of the “red flag” and other related content descriptions according to the first keyword information “red flag”, and use the preset annotations in the video image Mark the target object in.
  • the display position, display mode, and display time of the preset annotation in the video image, and the annotation corresponding to the target object in the video image in the embodiment shown in FIG. 5 The display position, display mode, and display time are all consistent. Therefore, regarding the display position, display mode, and display time of the preset annotations in the video image, refer to the related annotations corresponding to the target object in the embodiment shown in FIG. 5 Description, in order to avoid duplication of content, I won’t repeat it here.
  • step S300 may specifically include but is not limited to the following steps:
  • Step S330 Acquire second keyword information in the second voice signal
  • Step S340 Determine a target object corresponding to the second keyword information in the video image according to the second keyword information.
  • the semantic analysis extraction module of the terminal can be activated to identify and extract the second keyword information in the second voice signal, and then, according to the second key The word information determines the target object corresponding to the second keyword information in the video image. After the target object corresponding to the second keyword information is determined, the target object can be processed in subsequent steps to make the target object The object can be highlighted in the video image.
  • the second keyword information may be information including related content such as name, shape, direction, or color.
  • the second keyword information may be a group of keywords, or may be a combination composed of two or more keywords.
  • the second keyword information may be the keyword "red flag"; when the second keyword information is a combination of two or more keywords, for example, The second keyword information may be a combination of multiple sets of keywords of "the tower on the left", where the combination of the multiple sets of keywords includes two keywords of "left" and "high tower".
  • the terminal may compare its internally stored preset keyword information with the content in the second voice signal, or may send the second voice signal to the server for Make the server compare its internally stored preset keyword information with the content in the second voice signal.
  • the value of the matched preset keyword information is The content is the content of the second keyword information, that is, the foregoing operation process realizes the acquisition of the second keyword information in the second voice signal in step S330.
  • the terminal compares the second keyword information with the scene in the video image. When the character information matches the scene, the terminal can determine that the scene is the target object corresponding to the second keyword information.
  • the semantic analysis extraction module of the terminal can be activated to identify and extract the second keyword information in the second voice signal. It is worth noting that the operation of activating the semantic analysis extraction module can be performed after opening the video image or It is executed before the video is shot, or it may be executed during the video playing process or the video shooting process, which is not specifically limited in this embodiment.
  • the method of starting the semantic analysis extraction module can be started by a voice operation, or can be started by clicking a function button, which is not specifically limited in this embodiment.
  • the video processing method further includes but is not limited to the following steps:
  • Step S600 Mark and annotate the target object in the video image according to the second voice signal.
  • the target object may be further marked and annotated in the video image according to the user's second voice signal to To achieve the purpose of displaying the relevant content of the user's introduction to the target object. Since the operation of displaying the relevant introduction content of the target object is completed when the user processes the video image, for example, when the user performs the video shooting, that is, the user does not need to edit the video image afterwards, so it can save the time.
  • the post-editing processing of video images can improve the user experience.
  • the second keyword information in the second voice signal may be used to mark and annotate the target object; another example, the preset stored in the terminal or stored in the server may be obtained according to the second keyword information in the second voice signal. Annotation, using the preset annotation to mark the annotation for the target object; for another example, the third keyword information in the second voice signal may be acquired again, and the third keyword information may be used to mark the annotation for the target object.
  • step S600 includes but is not limited to the following steps:
  • Step S610 Use the second keyword information to mark and annotate the target object in the video image.
  • the second keyword information may be further used to mark and annotate the target object in the video image to achieve display
  • the purpose of the user’s introduction to the target object For example, when the user is shooting a video and introducing the "red flag” in the video image, the target object in the video image is determined according to the second keyword information "red flag” "Red Flag", the target object "Red Flag" will be highlighted in the video image. At this time, the second keyword information "Red Flag" will be marked in the video image as an annotation to identify the target object highlighted in the video image. "Red Flag” for annotated introduction. Since the operation of displaying the description of the target object is completed when the user is shooting the video, that is, the user does not need to edit the video image, so it can save the post-editing process of the video image, thereby improving the user experience .
  • the display position of the annotation corresponding to the target object may be displayed in a position other than the position of the target object in the video image, for example, it may be displayed in a relatively consistent background color outside the position of the target object. Area, or the area where the background scene is relatively monotonous that can be displayed outside the location of the target object. Therefore, the annotations corresponding to the target object displayed in the video image will not block the target object, so that the user can be reached The purpose of focusing on the target audience.
  • the annotation corresponding to the target object may be displayed in full text in the video image, or displayed in the video image in a scrolling manner, which is not specifically limited in this embodiment. It is worth noting that the annotation corresponding to the target object displayed in the video image may be blanked after being displayed for a certain period of time, or may be blanked after the user has introduced the target object, which is not specifically limited in this embodiment. In addition, judging that the user has introduced the target object can be determined by the video screen being switched, or by the user's voice signal, or by continuously setting the duration, which is not specifically limited in this embodiment.
  • step S600 further includes the following steps:
  • Step S620 Obtain a preset annotation corresponding to the second keyword information according to the second keyword information, and mark the target object with the preset annotation in the video image.
  • step S620 in this embodiment and step S610 in the above embodiment are parallel technical solutions.
  • step S620 in this embodiment first obtains and The corresponding preset annotation is then used to mark and annotate the target object with the preset annotation; and in step S610 in the above embodiment, the second keyword information is directly used to mark and annotate the target object.
  • this embodiment only specifically describes the difference between step S620 and step S610. For the same content between the two, please refer to the specific description of step S610 in the above embodiment. I won't repeat it here.
  • the preset annotations stored in the terminal or stored in the server may be obtained according to the second keyword information, and the preset annotations may be used.
  • Annotation Marks annotations on the target object in order to achieve the purpose of displaying relevant introduction content corresponding to the target object. Since the operation of displaying the relevant introduction content of the target object is completed when the user processes the video image, for example, when the user performs the video shooting, that is, the user does not need to edit the video image afterwards, so it can save the time.
  • the post-editing processing of video images can improve the user experience.
  • the preset annotation may be a text content that is stored in advance and is associated with specific keyword information, and the terminal or server may store the preset annotation associated with the specific keyword information, for example, assuming a specific keyword If the information is "Red Flag", the preset annotation can be text content such as the history, size, or production process related to "Red Flag".
  • the terminal can store the preset annotation.
  • the terminal can read from the memory a preset annotation about the history, size, or production process of the “red flag” and other related content descriptions according to the second keyword information “red flag”, and use the preset annotations in the video image Mark the target object in.
  • the display position, display mode, and display time of the preset annotations in the video image and in the detailed description of step S610 in the above embodiment, the annotations corresponding to the target object are displayed in the video.
  • the display position, display mode, and display time in the image are all the same. Therefore, for the display position, display mode, and display time of the preset annotation in the video image, refer to the relevant description of the content of step S610 in the above embodiment. Avoid duplication of content, so I won’t repeat it here.
  • step S600 further includes the following steps:
  • Step S630 Acquire third keyword information in the second voice signal, and use the third keyword information to mark and annotate the target object in the video image.
  • step S630 in this embodiment step S610 in the above-mentioned embodiment, and step S620 in the above-mentioned embodiment are all parallel technical solutions.
  • step S630 in this embodiment has the following difference: first obtain the third keyword information in the second voice signal, and then use the third keyword information to mark and annotate the target object.
  • this embodiment only specifically describes the differences in step S630.
  • step S610, step S620, and step S630 please refer to the specific description of related content in the foregoing embodiment. I won't repeat it here.
  • the semantic analysis extraction module of the terminal can be used to identify and extract the third keyword in the second voice signal Then, the operation of marking and annotation of the target object is realized according to the third keyword information, so as to achieve the purpose of displaying the relevant introduction content of the user to the target object. Since the operation of displaying the relevant introduction content of the target object is completed when the user processes the video image, for example, when the user performs the video shooting, that is, the user does not need to edit the video image afterwards, so it can save the time.
  • the post-editing processing of video images can improve the user experience.
  • the third keyword information is the information following the second keyword information in the second voice signal.
  • the third keyword information can be the complete information following the second keyword information, or it can be the following information. Part of the information in the information following the second keyword information can be selected according to actual application conditions, which is not specifically limited in this embodiment.
  • the terminal or the server may store related preset keyword information, and when the terminal obtains the second voice signal, it may Internally compare the information following the second keyword information in the second voice signal with the preset keyword information, or the terminal sends the second voice signal to the server, so that the server follows the second voice signal in the second voice signal.
  • the information following the keyword information is compared with the preset keyword information.
  • the content of the matched preset keyword information is the first The content of the three keyword information.
  • step S610 regarding the display position, display mode, and display time of the annotation corresponding to the target object in the video image, and in the detailed description of step S610 in the above-mentioned embodiment, the description corresponding to the target object
  • the display position, display mode, and display time of the annotation in the video image are the same. Therefore, for the display position, display mode, and display time of the annotation corresponding to the target object in the video image, refer to the step S610 in the above embodiment.
  • the related description of the content, in order to avoid repetition of the content, will not be repeated here.
  • the number of target objects is multiple, and the annotations of the multiple target objects are displayed in different areas in the video image or displayed at intervals in the same area in the video image.
  • the multiple target objects when a user conducts a live video broadcast and introduces multiple target objects in the video image to the audience, the multiple target objects will be highlighted in the video image. For example, each target object is marked by an arrow.
  • the annotation corresponding to each target object will also be displayed in the video image.
  • multiple annotations can be displayed in different ways in the video image. For example, multiple annotations can be displayed in different areas of the video image, or they can be displayed at intervals in the same area in the video image. This embodiment The example does not specifically limit this.
  • the content of the annotations can be displayed in full text in the video image or in the video.
  • the image is displayed in a scrolling manner of text, which is not specifically limited in this embodiment.
  • these annotations can be blanked after being displayed for a certain period of time, or can be blanked after the user introduces all the target objects, which is not specifically limited in this embodiment.
  • these annotations can be blanked after the user introduces all the target objects. It is worth noting that the judgment that the user introduces all the target objects can be determined by switching the video screen, or by the user's voice signal, or by continuously setting the duration, which is not specifically limited in this embodiment.
  • At least one of the target objects with the same object type is marked and annotated in the video image.
  • each target object is marked by an arrow.
  • at least one of the multiple target objects of the same object type can be annotated in the video image, for example, only for the same object in the video image.
  • Multiple target objects of the object type are marked with one annotation, or two of the multiple target objects of the same object type are arbitrarily selected and marked for annotations respectively, which is not specifically limited in this embodiment.
  • the video processing method further includes the following steps:
  • step S700 after an annotation is marked on the target object in the video image, the video image marked with the annotation is stored.
  • the video image marked with the annotation may be stored, so that the video image marked with the annotation can be released later.
  • the video image is determined by the trigger signal
  • the user can first store the video image marked with the annotation.
  • the user can publish the video image marked with annotations, so no additional post-editing processing is required, which can improve the user experience.
  • the user when the user uses the smart phone 200 for video shooting, the user first turns on the camera function of the smart phone 200 and selects the video shooting mode. At this time, when the user selects the scene to be shot Then, as shown in Figure 7, in the touch screen 300 of the smart phone 200, the viewfinder screen displays the "red flag" scene. At this time, the user can click the recording function button 400 in the touch screen 300, and when the user clicks to record After the function button 400, the smart phone 200 will perform video shooting and recording.
  • the user introduces the "Red Flag” scene.
  • the smartphone 200 can obtain the user's introduction to the "Red Flag” scene.
  • the smart phone 200 will look for the “red flag” in the video image according to the keyword information "red flag”.
  • the smart phone 200 determines the specific location of the “red flag” in the video image, the smart phone 200 highlights the “red flag” in the video image by means of dots. At this time, the smart phone 200 will Continue to obtain the user’s voice signal.
  • the smart phone 200 When the smart phone 200 recognizes that the user’s voice signal includes the introduction of the “red flag”, the smart phone 200 will use the corresponding introduction as the annotation 500 and mark it in the video image. Close to the location of the "Red Flag" to achieve the purpose of displaying the user's introduction to the "Red Flag". Since the operation of displaying the introduction content of the “red flag” is completed when the user is shooting the video, that is, the user does not need to edit the video image, so it can save the post-editing process of the video image, which can improve User experience.
  • an embodiment of the present application also provides a terminal.
  • the terminal includes a memory, a processor, and a computer program stored on the memory and running on the processor.
  • the processor and the memory can be connected by a bus or in other ways.
  • the memory can be used to store non-transitory software programs and non-transitory computer-executable programs.
  • the memory may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices.
  • the memory may optionally include a memory remotely arranged with respect to the processor, and these remote memories may be connected to the processor through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
  • the terminal in this embodiment may include the architecture platform in the embodiment shown in FIG. 1, and the terminal in this embodiment and the architecture platform in the embodiment shown in FIG. 1 belong to the same inventive concept. Therefore, the two have the same implementation principle and technical effect, and will not be detailed here.
  • the non-transitory software programs and instructions required to implement the video processing method of the foregoing embodiment are stored in the memory.
  • the video processing method of the foregoing embodiment is executed, for example, the method in FIG. 2 described above is executed. Steps S100 to S400, method steps S310 to S320 in FIG. 3, method steps S400 to S500 in FIG. 4, method steps S510 to S520 in FIG. 5, and method steps S330 to S340 in FIG.
  • terminal embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • an embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed by a processor or a controller, for example, by the aforementioned
  • the execution of a processor in the terminal embodiment can make the above-mentioned processor execute the video processing method in the above-mentioned embodiment, for example, execute the above-described method steps S100 to S400 in FIG. 2 and method steps S310 to S320 in FIG. 3 , The method steps S400 to S500 in FIG. 4, the method steps S510 to S520 in FIG. 5, and the method steps S330 to S340 in FIG.
  • the method of the embodiment of the present application includes: acquiring a video image; acquiring a trigger signal; determining a target object in the video image corresponding to the trigger signal according to the trigger signal; making the target object in the trigger signal according to the trigger signal Highlighted in the video image.
  • a trigger signal is acquired, and the target object in the video image corresponding to the trigger signal is determined according to the trigger signal, and then the target object is highlighted in the video image according to the trigger signal Therefore, when a video image is acquired, for example, when a user is shooting a video and the terminal acquires a video image, the target object in the video image can be processed according to the trigger signal, so that the target object can be in the process of shooting the video. It can be highlighted in the video image, that is, the operation of enabling the target object to be highlighted in the video image is completed when the user is shooting the video, so it can save the user’s post-editing processing of the video, thereby improving the user Experience.
  • computer storage medium includes volatile and non-volatile data implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data).
  • Information such as computer-readable instructions, data structures, program modules, or other data.
  • Computer storage media include but are not limited to RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or Any other medium used to store desired information and that can be accessed by a computer.
  • communication media usually contain computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as carrier waves or other transmission mechanisms, and may include any information delivery media. .

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Abstract

一种视频处理方法、终端及计算机可读存储介质。该视频处理方法包括：获取视频图像（S100）；获取触发信号（S200）；根据触发信号确定视频图像中与触发信号对应的目标对象（S300）；根据触发信号使目标对象在视频图像中突出显示（S400）。

Description

视频处理方法、终端及计算机可读存储介质
相关申请的交叉引用
本申请基于申请号为202010326754.1、申请日为2020年4月23日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本申请实施例涉及但不限于信息技术领域，尤其涉及一种视频处理方法、终端及计算机可读存储介质。
背景技术
随着移动网络、智能终端等相关技术的不断发展，视频播客(Video Log，VLOG)已经成为广大用户越来越喜爱的一种社交方式，能否即时分享VLOG已经成为影响用户使用体验的一个重要指标。在相关技术中，在进行视频拍摄时，当需要对特定的物体、建筑或者景点等进行着重介绍时，往往需要通过在后期视频制作过程中添加圈点、箭头等标签或者文字等信息的方式才能进行标注说明。但是，这种后期编辑的方式十分耗时，影响了VLOG这种即时分享的社交方式的使用体验。
发明内容
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。
一方面，本申请实施例提供了一种视频处理方法，应用于终端，包括
获取视频图像，获取触发信号，根据触发信号确定视频图像中与触发信号对应的目标对象，以及根据触发信号使目标对象在视频图像中突出显示。
另一方面，本申请实施例还提供了一种终端，包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，处理器执行计算机程序时实现如上所述的视频处理方法。
再另一方面，本申请实施例还提供一种计算机可读存储介质，存储有计算机可执行指令，计算机可执行指令用于执行如上所述的视频处理方法。
本申请的其它特征和优点将在随后的说明书中阐述，并且，部分地从说明书中变得显而易见，或者通过实施本申请而了解。本申请的目的和其他优点可通过在说明书、权利要求书以及附图中所特别指出的结构来实现和获得。
附图说明
附图用来提供对本申请技术方案的进一步理解，并且构成说明书的一部分，与本申请的实施例一起用于解释本申请的技术方案，并不构成对本申请技术方案的限制。
图1是本申请一个实施例提供的用于执行视频处理方法的架构平台的示意图；
图2是本申请一个实施例提供的视频处理方法的流程图；
图3是本申请另一实施例提供的视频处理方法的流程图；
图4是本申请另一实施例提供的视频处理方法的流程图；
图5是本申请另一实施例提供的视频处理方法的流程图；
图6是本申请另一实施例提供的视频处理方法的流程图；
图7是本申请一个实施例提供的利用终端执行视频处理方法的示意图；
图8是本申请另一实施例提供的利用终端执行视频处理方法的示意图。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本申请，并不用于限定本申请。
需要说明的是，虽然在装置示意图中进行了功能模块划分，在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于装置中的模块划分，或流程图中的顺序执行所示出或描述的步骤。说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。
本申请提供了一种视频处理方法、终端及计算机可读存储介质，在获取到视频图像时，会获取触发信号，并且根据触发信号确定视频图像中与触发信号对应的目标对象，接着，根据触发信号使目标对象在视频图像中突出显示，因此，在获取到视频图像时，例如用户在进行视频拍摄而使得终端获取到视频图像时，根据触发信号即可对视频图像中的目标对象进行处理，使得目标对象能够在拍摄视频的过程中即可在视频图像中突出显示，即，使目标对象能够在视频图像中突出显示的操作是随着用户进行视频拍摄时完成的，因此能够节省用户对视频的后期编辑处理，从而可以提高用户的使用体验。
下面结合附图，对本申请实施例作进一步阐述。
如图1所示，图1是本申请一个实施例提供的用于执行视频处理方法的架构平台的示意图。
如图1所示，该架构平台包括存储器110、处理器120、拾音器130、触摸显示屏140、摄像头150和通信模块160。其中，存储器110、拾音器130、触摸显示屏140、摄像头150和通信模块160分别与处理器120电连接。存储器110和处理器120可以通过总线或者其 他方式连接，图1中以通过总线连接为例。
其中，拾音器130可以获取用户的语音信号，触摸显示屏140可以获取触碰操作的位置坐标，摄像头150可以获取景物图像，处理器120可以把由摄像头150获取到的景物图像转换成视频图像并显示在触摸显示屏140中，通信模块160可以与基站或者服务器等进行数据交互。
此外，处理器120中构建有语义分析提取模块和触摸屏事件响应模块，其中，语义分析提取模块和触摸屏事件响应模块均能够在后台启动并运行。语义分析提取模块能够对由拾音器130输出的语音信号进行分析处理，并能够提取出语音信号中的关键字信息；触摸屏事件响应模块能够根据用户对触摸显示屏140的操作而输出对应的响应信号，例如，能够识别用户对触摸显示屏140的点击操作并输出与点击位置对应的在触摸显示屏140中的坐标参数，又如，能够识别用户在触摸显示屏140中的触摸滑动并输出与触摸位置对应的在触摸显示屏140中的滑动轨迹参数。
值得注意的是，启动语义分析提取模块的操作可以在打开视频图像或者进行视频拍摄之前执行，也可以在视频播放过程中或者视频拍摄过程中执行，本实施例对此并不作具体限定。此外，启动语义分析提取模块的方式可以通过语音操作进行启动，也可以通过点击功能按键的方式启动，本实施例对此并不作具体限定。
本领域技术人员可以理解的是，该架构平台可以应用于智能手机、平板电脑、摄像机或运动相机等不同的智能终端设备，本实施例对此并不作具体限定。
存储器110作为一种非暂态计算机可读存储介质，可用于存储非暂态软件程序以及非暂态性计算机可执行程序。此外，存储器110可以包括高速随机存取存储器，还可以包括非暂态存储器，例如至少一个磁盘存储器件、闪存器件、或其他非暂态固态存储器件。在一些实施方式中，存储器110可选包括相对于处理器120远程设置的存储器，这些远程存储器可以通过网络连接至该架构平台。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
本申请实施例描述的架构平台是为了更加清楚的说明本申请实施例的技术方案，并不构成对于本申请实施例提供的技术方案的限定，本领域技术人员可知，随着终端技术的演变和新应用场景的出现，本申请实施例提供的技术方案对于类似的技术问题，同样适用。
本领域技术人员可以理解的是，图1中示出的各个模块及器件的结构关系并不构成对本申请实施例的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
在图1所示的架构平台中，各个模块及器件之间可以相互配合以执行视频处理方法。
基于上述架构平台以及上述架构平台中各个模块及器件的结构关系，提出本申请的视频处理方法的各个实施例。
如图2所示，图2是本申请一个实施例提供的视频处理方法的流程图，该视频处理方法包括但不限于步骤S100、步骤S200、步骤S300和步骤S400。
步骤S100，获取视频图像。
在一实施例中，获取视频图像的操作可以有不同的实施方式，例如，视频图像可以通过打开终端的相机功能进行视频拍摄而获得，也可以从服务器中下载获得，还可以通过打开保存在终端的本地视频而获得，本实施例对此并不作具体限定。
本领域技术人员可以理解的是，当视频图像为通过打开终端的相机功能进行视频拍摄而获得时，对应的应用场景可以为直播场景或者一般的视频录制场景等；当视频图像为从服务器中下载获得时，对应的应用场景可以为用户上网浏览视频或者观看网络节目等；当视频图像为通过打开保存在终端的本地视频而获得时，对应的应用场景可以为用户发布本地保存的视频图像前的编辑处理等。
步骤S200，获取触发信号。
在一实施例中，触发信号可以有不同的实施方式。触发信号可以是用户对终端进行直接操作时所产生的信号，例如用户对终端的物理按键的进行操作时所产生的信号，或者用户对终端的触摸显示屏进行操作时所产生的信号；触发信号还可以是用户的语音信号，例如终端中的拾音器获取到的用户的说话声音。
在一实施例中，当获取到触发信号后，可以通过对该触发信号进行分析处理，以便于后续步骤中能够根据该触发信号而对视频图像进行相关的操作处理。
步骤S300，根据触发信号确定视频图像中与触发信号对应的目标对象。
在一实施例中，当获取到触发信号并对该触发信号进行分析处理后，可以根据该触发信号确定视频图像中与该触发信号对应的目标对象，以便于后续步骤中能够对该目标对象进行相关的操作处理。
在一实施例中，当触发信号为用户对终端进行直接操作时所产生的信号，则可以根据该触发信号识别出用户在视频图像中的操作位置，接着根据该操作位置确定视频图像中的目标对象。
下面以具体示例进行说明：
示例一：假设终端为智能手机，当用户利用智能手机的相机功能进行视频拍摄时，用户在触摸显示屏中选择感兴趣的景物，并对该景物在视频图像中所处的位置进行点击，此时，该点击操作所产生的触摸屏事件响应信号即为触发信号，因此，智能手机会根据与该 点击操作对应的触摸屏事件响应信号识别出用户在视频图像中的点击位置，接着根据该点击位置确定视频图像中的目标对象。
示例二：假设终端为运动相机，并且该运动相机设置有方向键和确认键，当用户利用方向键进行操作时，运动相机的显示屏可以显示有指针标记，方向键可以改变该指针标记的位置。当用户利用运动相机进行视频拍摄时，用户利用方向键改变指针标记的位置并选择感兴趣的景物，当用户选择好感兴趣的景物并使得指针标记移动到该景物在视频图像中所处的位置后，用户按下确认键，此时，被按下的确认键会产生一个触发信号，因此，运动相机会根据该触发信号识别出指针标记在视频图像中的位置，接着根据指针标记所处的位置确定视频图像中的目标对象。
在一实施例中，当触发信号为用户的语音信号，则可以通过识别出该语音信号所携带的关键字信息，从而根据该关键字信息确定用户在视频图像中所选择的目标对象。
下面以具体示例进行说明：
假设终端为智能手机，当用户开启智能手机的语义分析提取模块并利用智能手机的相机功能进行视频拍摄，智能手机会通过拾音器获取用户的语音信号，并通过语义分析提取模块识别及提取语音信号中所携带的关键字信息，通过对关键字信息的语音分析，获取与关键字信息对应的视频图像中的景物，该景物即为用户感兴趣的目标对象。
步骤S400，根据触发信号使目标对象在视频图像中突出显示。
在一实施例中，根据触发信号使目标对象在视频图像中突出显示，可以有不同的实施方式。例如，可以根据触发信号对目标对象添加圆圈从而使得目标对象能够在视频图像中突出显示；又如，可以根据触发信号对目标对象添加箭头指示从而使得目标对象能够在视频图像中突出显示；又如，可以根据触发信号对目标对象添加方框从而使得目标对象能够在视频图像中突出显示；再如，可以根据触发信号对目标对象添加特效从而使得目标对象能够在视频图像中突出显示，其中的特效包括但不限于发光、放大、改变颜色等，并且特效可以为发光、放大和改变颜色等多种模式中的至少一个。值得注意的是，根据触发信号使目标对象在视频图像中突出显示的具体实施方式，可以根据实际应用情况进行适应的选择，本实施例对此并不作具体限定。
在一实施例中，通过采用包括有步骤S100、步骤S200、步骤S300和步骤S400的视频处理方法，当在获取到视频图像时，例如用户在进行视频拍摄而使得终端获取到视频图像时，可以根据触发信号确定视频图像中与触发信号对应的目标对象，进而可以根据触发信号使目标对象在视频图像中突出显示，使得目标对象能够与视频图像中的其他景物相区别，达到用户对目标对象的着重介绍的目的。由于使目标对象在视频图像中突出显示的操 作是随着用户进行视频拍摄时完成的，因此用户不需要对视频图像进行后期编辑即可突出显示视频图像中的目标对象，因此能够节省对视频图像的后期编辑处理，从而可以提高用户的使用体验。
另外，参照图3，在一实施例中，步骤S200中的触发信号包括触摸屏事件响应信号，则步骤S300具体可以包括但不限于如下步骤：
步骤S310，根据触摸屏事件响应信号确定视频图像中被选择的触发位置；
步骤S320，根据触发位置确定与触摸屏事件响应信号对应的目标对象。
在一实施例中，在触发信号包括触摸屏事件响应信号的情况下，可以根据该触摸屏事件响应信号确定视频图像中被选择的触发位置，例如用户在视频图像中的点击位置，或者用户在视频图像中的触摸滑动的滑动轨迹，接着，根据该触发位置确定与触摸屏事件响应信号对应的目标对象，例如获取用户在视频图像中的点击位置的坐标参数，并根据该坐标参数确定对应的目标对象，或者获取用户在视频图像中的触摸滑动的滑动轨迹参数，并根据该滑动轨迹参数确定对应的目标对象。在确定与触摸屏事件响应信号对应的目标对象后，可以在后续步骤中对该目标对象进行相关的操作处理，以使得目标对象能够在视频图像中突出显示。
另外，参照图4，在一实施例中，如在图3所示实施例的基础上，该视频处理方法还包括但不限于以下步骤：
步骤S400，获取第一语音信号；
步骤S500，根据第一语音信号在视频图像中对目标对象标记注解。
在一实施例中，当根据触发信号使目标对象在视频图像中突出显示之后，可以通过获取用户的第一语音信号，并根据该第一语音信号在视频图像中对目标对象标记注解，以达到展示用户对目标对象的相关介绍内容的目的。由于展示对目标对象的相关介绍内容的操作是随着用户对视频图像进行处理时完成的，例如随着用户进行视频拍摄时完成的，即用户不需要对视频图像进行后期编辑，因此能够节省对视频图像的后期编辑处理，从而可以提高用户的使用体验。
在一实施例中，可以通过启动终端的语义分析提取模块以识别及提取第一语音信号中的信号内容，接着，利用第一语音信号中的信号内容对目标对象标记注解，或者，可以根据第一语音信号中的信号内容获取保存在终端中或者保存在服务器中的预置注解，利用该预置注解对目标对象标记注解。值得注意的是，对目标对象标记注解的具体实施方式，可以根据实际应用情况进行适应的选择，本实施例对此并不作具体限定。另外，值得注意的是，启动语义分析提取模块的操作可以在打开视频图像或者进行视频拍摄之前执行，也可 以在视频播放过程中或者视频拍摄过程中执行，本实施例对此并不作具体限定。此外，启动语义分析提取模块的方式可以通过语音操作进行启动，也可以通过点击功能按键的方式启动，本实施例对此并不作具体限定。
另外，参照图5，在一实施例中，步骤S500包括但不限于以下步骤：
步骤S510，获取第一语音信号中的第一关键字信息；
步骤S520，在视频图像中利用第一关键字信息对目标对象标记注解。
在一实施例中，可以通过启动终端的语义分析提取模块以识别及提取第一语音信号中的第一关键字信息，接着，根据第一语音信号中的第一关键字信息实现对目标对象标记注解的操作，以达到展示用户对目标对象的相关介绍内容的目的。由于展示对目标对象的相关介绍内容的操作是随着用户对视频图像进行处理时完成的，例如随着用户进行视频拍摄时完成的，即用户不需要对视频图像进行后期编辑，因此能够节省对视频图像的后期编辑处理，从而可以提高用户的使用体验。
值得注意的是，第一关键字信息可以为第一语音信号的完整信息，也可以为第一语音信号中的部分信息，可以根据实际应用情况进行适应的选择，本实施例对此并不作具体限定。当第一关键字信息为第一语音信号中的部分信息时，终端或者服务器可以保存有相关的预置关键字信息，当终端获取到第一语音信号后，可以在终端内部把第一语音信号中的信息与预置关键字信息进行对比，或者终端把第一语音信号发送给服务器以使服务器把第一语音信号中的信息与预置关键字信息进行对比，当第一语音信号中的部分信息与预置关键字信息相匹配时，该匹配的预置关键字信息的内容即为第一关键字信息的内容。
在一实施例中，对应于目标对象的注解的显示位置，可以显示在视频图像中目标对象所处位置之外的其他位置，例如可以显示在目标对象所处位置之外的背景颜色比较一致的区域，或者可以显示在目标对象所处位置之外的背景景象比较单调的区域，因此，显示在视频图像中的对应于目标对象的注解，并不会出现阻挡目标对象的问题，从而可以达到用户对目标对象进行着重介绍的目的。
在一实施例中，对应于目标对象的注解，可以在视频图像中全文显示，也可以在视频图像中以文字滚动的方式进行显示，本实施例对此并不作具体限定。值得注意的是，显示在视频图像中的对应于目标对象的注解，可以在显示一定时长之后消隐，也可以在用户介绍完目标对象之后消隐，本实施例对此并不作具体限定。另外，判断用户介绍完目标对象，可以通过视频画面被切换而确定，或者通过用户的语音信号而确定，或者通过持续设定时长而确定，本实施例对此并不作具体限定。
另外，在一实施例中，步骤S500还包括以下步骤：
步骤S530，根据第一关键字信息获取与第一关键字信息对应的预置注解，在视频图像中利用预置注解对目标对象标记注解。
值得注意的是，本实施例中的步骤S530与如图5所示实施例中的步骤S520属于并列的技术方案，本实施例实际上包括步骤S510和步骤S530，为了避免内容重复，本实施例中仅针对步骤S530的内容进行具体的描述。
在一实施例中，当获取到第一语音信号中的第一关键字信息后，可以根据第一关键字信息获取保存在终端中的或者保存在服务器中的预置注解，并利用该预置注解对目标对象标记注解，以达到展示对应于目标对象的相关介绍内容的目的。由于展示对目标对象的相关介绍内容的操作是随着用户对视频图像进行处理时完成的，例如随着用户进行视频拍摄时完成的，即用户不需要对视频图像进行后期编辑，因此能够节省对视频图像的后期编辑处理，从而可以提高用户的使用体验。
在一实施例中，预置注解可以为预先保存的并与特定关键字信息相关联的文本内容，终端或者服务器可以保存有与特定关键字信息相关联的预置注解，例如，假设特定关键字信息为“红旗”，则预置注解可以为与“红旗”相关的历史、尺寸或制作过程等文本内容，终端可以保存有该预置注解，当终端获取到的第一关键字信息为“红旗”时，终端可以根据第一关键字信息“红旗”而从存储器中读取出关于“红旗”的历史、尺寸或制作过程等相关内容描述的预置注解，并利用该预置注解在视频图像中对目标对象进行标记。
值得注意的是，在本实施例中，关于预置注解在视频图像中的显示位置、显示方式及显示时间，和如图5所示实施例中关于对应于目标对象的注解在视频图像中的显示位置、显示方式及显示时间均一致，因此，关于预置注解在视频图像中的显示位置、显示方式及显示时间，可以参照如图5所示实施例中关于对应于目标对象的注解的相关描述，为了避免内容重复，此处不再赘述。
另外，参照图6，在一实施例中，步骤S200中的触发信号包括第二语音信号，则步骤S300具体可以包括但不限于如下步骤：
步骤S330，获取第二语音信号中的第二关键字信息；
步骤S340，根据第二关键字信息确定视频图像中与第二关键字信息对应的目标对象。
值得注意的是，本实施例与如图3所示的实施例属于并列的技术方案。
在一实施例中，在触发信号包括第二语音信号的情况下，可以通过启动终端的语义分析提取模块以识别及提取第二语音信号中的第二关键字信息，接着，根据该第二关键字信息确定视频图像中与该第二关键字信息对应的目标对象，在确定与第二关键字信息对应的目标对象后，可以在后续步骤中对该目标对象进行相关的操作处理，以使得目标对象能够 在视频图像中突出显示。
在一实施例中，第二关键字信息可以为包括有名称、形状、方向或颜色等相关内容的信息。另外，第二关键字信息可以为一组关键字，也可以为由两组以上关键字构成的组合。当第二关键字信息为一组关键字时，例如，第二关键字信息可以为“红旗”这一关键字；当第二关键字信息为由两组以上关键字构成的组合时，例如，第二关键字信息可以为“左边的高塔”这多组关键字构成的组合，其中，这多组关键字构成的组合包括“左边”和“高塔”这两个关键字。值得注意的是，可以设定在一定时间内获取第二语音信号及获取第二语音信号中的第二关键字信息，也可以在整个视频拍摄过程中或者视频播放过程中持续获取第二语音信号及获取第二语音信号中的第二关键字信息，本实施例对此并不作具体限定。
在一实施例中，当终端获取到第二语音信号之后，终端可以把其内部存储的预置关键字信息与第二语音信号中的内容进行对比，也可以把第二语音信号发送给服务器以使服务器把其内部存储的预置关键字信息与第二语音信号中的内容进行对比，当第二语音信号中的内容与预置关键字信息相匹配时，该匹配的预置关键字信息的内容即为第二关键字信息的内容，即，上述操作过程实现了步骤S330中的获取第二语音信号中的第二关键字信息。
在一实施例中，当终端获取到第二语音信号中的第二关键字信息后，终端会把该第二关键字信息与视频图像中的景物进行对比，当视频图像中存在与第二关键字信息相匹配的景物时，终端即可确定该景物为与第二关键字信息对应的目标对象。
在一实施例中，可以通过启动终端的语义分析提取模块以识别及提取第二语音信号中的第二关键字信息，值得注意的是，启动语义分析提取模块的操作可以在打开视频图像或者进行视频拍摄之前执行，也可以在视频播放过程中或者视频拍摄过程中执行，本实施例对此并不作具体限定。此外，启动语义分析提取模块的方式可以通过语音操作进行启动，也可以通过点击功能按键的方式启动，本实施例对此并不作具体限定。
另外，在一实施例中，如在图6所示实施例的基础上，该视频处理方法还包括但不限于如下步骤：
步骤S600，根据第二语音信号在视频图像中对目标对象标记注解。
在一实施例中，当根据第二语音信号中的第二关键字信息使目标对象在视频图像中突出显示之后，可以进一步根据用户的第二语音信号在视频图像中对目标对象标记注解，以达到展示用户对目标对象的相关介绍内容的目的。由于展示对目标对象的相关介绍内容的操作是随着用户对视频图像进行处理时完成的，例如随着用户进行视频拍摄时完成的，即用户不需要对视频图像进行后期编辑，因此能够节省对视频图像的后期编辑处理，从而可以提高用户的使用体验。
在一实施例中，根据第二语音信号在视频图像中对目标对象标记注解，可以有不同的实施方式。例如，可以利用第二语音信号中的第二关键字信息对目标对象标记注解；又如，可以根据第二语音信号中的第二关键字信息获取保存在终端中或者保存在服务器中的预置注解，利用该预置注解对目标对象标记注解；再如，可以再获取第二语音信号中的第三关键字信息，利用该第三关键字信息对目标对象标记注解。
另外，在一实施例中，步骤S600包括但不限于以下步骤：
步骤S610，在视频图像中利用第二关键字信息对目标对象标记注解。
在一实施例中，当根据第二关键字信息确定视频图像中与第二关键字信息对应的目标对象后，可以进一步在视频图像中利用第二关键字信息对目标对象标记注解，以达到展示用户对目标对象的相关介绍内容的目的，例如，用户在进行视频拍摄并针对视频图像中的“红旗”进行介绍时，当根据第二关键字信息“红旗”而确定视频图像中的目标对象“红旗”时，目标对象“红旗”会在视频图像中突出显示，此时，第二关键字信息“红旗”会作为注解而标记在视频图像中，以对在视频图像中突出显示的目标对象“红旗”进行注解介绍。由于展示对目标对象的注解介绍的操作是随着用户进行视频拍摄时完成的，即用户不需要对视频图像进行后期编辑，因此能够节省对视频图像的后期编辑处理，从而可以提高用户的使用体验。
在一实施例中，对应于目标对象的注解的显示位置，可以显示在视频图像中目标对象所处位置之外的其他位置，例如可以显示在目标对象所处位置之外的背景颜色比较一致的区域，或者可以显示在目标对象所处位置之外的背景景象比较单调的区域，因此，显示在视频图像中的对应于目标对象的注解，并不会出现阻挡目标对象的问题，从而可以达到用户对目标对象进行着重介绍的目的。
在一实施例中，对应于目标对象的注解，可以在视频图像中全文显示，也可以在视频图像中以文字滚动的方式进行显示，本实施例对此并不作具体限定。值得注意的是，显示在视频图像中的对应于目标对象的注解，可以在显示一定时长之后消隐，也可以在用户介绍完目标对象之后消隐，本实施例对此并不作具体限定。另外，判断用户介绍完目标对象，可以通过视频画面被切换而确定，或者通过用户的语音信号而确定，或者通过持续设定时长而确定，本实施例对此并不作具体限定。
另外，在一实施例中，步骤S600还包括以下步骤：
步骤S620，根据第二关键字信息获取与第二关键字信息对应的预置注解，在视频图像中利用预置注解对目标对象标记注解。
值得注意的是，本实施例中的步骤S620与上述实施例中的步骤S610属于并列的技术 方案，两者之间的区别在于：本实施例中的步骤S620先根据第二关键字信息获取与之对应的预置注解，再利用预置注解对目标对象标记注解；而上述实施例中的步骤S610则直接利用第二关键字信息对目标对象标记注解。为了避免内容重复，本实施例中仅针对步骤S620与步骤S610之间的区别内容进行具体描述，两者之间的相同内容部分，可以参照上述实施例中对步骤S610的内容的具体描述，此处不再赘述。
在一实施例中，当获取到第二语音信号中的第二关键字信息后，可以根据第二关键字信息获取保存在终端中的或者保存在服务器中的预置注解，并利用该预置注解对目标对象标记注解，以达到展示对应于目标对象的相关介绍内容的目的。由于展示对目标对象的相关介绍内容的操作是随着用户对视频图像进行处理时完成的，例如随着用户进行视频拍摄时完成的，即用户不需要对视频图像进行后期编辑，因此能够节省对视频图像的后期编辑处理，从而可以提高用户的使用体验。
在一实施例中，预置注解可以为预先保存的并与特定关键字信息相关联的文本内容，终端或者服务器可以保存有与特定关键字信息相关联的预置注解，例如，假设特定关键字信息为“红旗”，则预置注解可以为与“红旗”相关的历史、尺寸或制作过程等文本内容，终端可以保存有该预置注解，当终端获取到的第二关键字信息为“红旗”时，终端可以根据第二关键字信息“红旗”而从存储器中读取出关于“红旗”的历史、尺寸或制作过程等相关内容描述的预置注解，并利用该预置注解在视频图像中对目标对象进行标记。
值得注意的是，在本实施例中，关于预置注解在视频图像中的显示位置、显示方式及显示时间，和上述实施例中对步骤S610的具体描述中关于对应于目标对象的注解在视频图像中的显示位置、显示方式及显示时间均一致，因此，关于预置注解在视频图像中的显示位置、显示方式及显示时间，可以参照上述实施例中对步骤S610的内容的相关描述，为了避免内容重复，此处不再赘述。
另外，在一实施例中，步骤S600还包括以下步骤：
步骤S630，获取第二语音信号中的第三关键字信息，在视频图像中利用第三关键字信息对目标对象标记注解。
值得注意的是，本实施例中的步骤S630与上述实施例中的步骤S610、上述实施例中的步骤S620，均属于并列的技术方案，与上述实施例中的步骤S610及上述实施例中的步骤S620相比较，本实施例中的步骤S630具有如下区别点：先获取第二语音信号中的第三关键字信息，再利用第三关键字信息对目标对象标记注解。为了避免内容重复，本实施例中仅针对步骤S630所具有的区别点进行具体描述，步骤S610、步骤S620和步骤S630之间的相同内容部分，可以参照上述实施例中相关内容的具体描述，此处不再赘述。
在一实施例中，当根据第二关键字信息确定视频图像中与第二关键字信息对应的目标对象后，可以通过终端的语义分析提取模块识别及提取第二语音信号中的第三关键字信息，接着，根据该第三关键字信息实现对目标对象标记注解的操作，以达到展示用户对目标对象的相关介绍内容的目的。由于展示对目标对象的相关介绍内容的操作是随着用户对视频图像进行处理时完成的，例如随着用户进行视频拍摄时完成的，即用户不需要对视频图像进行后期编辑，因此能够节省对视频图像的后期编辑处理，从而可以提高用户的使用体验。
值得注意的是，第三关键字信息是第二语音信号中跟随在第二关键字信息后面的信息，第三关键字信息可以为跟随在第二关键字信息后面的完整信息，也可以为跟随在第二关键字信息后面的信息中的部分信息，可以根据实际应用情况进行适应的选择，本实施例对此并不作具体限定。当第三关键字信息为跟随在第二关键字信息后面的信息中的部分信息时，终端或者服务器可以保存有相关的预置关键字信息，当终端获取到第二语音信号后，可以在终端内部把第二语音信号中跟随在第二关键字信息后面的信息与预置关键字信息进行对比，或者终端把第二语音信号发送给服务器，以使服务器把第二语音信号中跟随在第二关键字信息后面的信息与预置关键字信息进行对比，当跟随在第二关键字信息后面的部分信息与预置关键字信息相匹配时，该匹配的预置关键字信息的内容即为第三关键字信息的内容。
值得注意的是，在本实施例中，关于对应于目标对象的注解在视频图像中的显示位置、显示方式及显示时间，和上述实施例中对步骤S610的具体描述中关于对应于目标对象的注解在视频图像中的显示位置、显示方式及显示时间均一致，因此，关于对应于目标对象的注解在视频图像中的显示位置、显示方式及显示时间，可以参照上述实施例中对步骤S610的内容的相关描述，为了避免内容重复，此处不再赘述。
另外，在一实施例中，目标对象的数量为多个，多个目标对象的注解分别在视频图像中的不同区域显示或者在视频图像中的同一区域间隔显示。
在一实施例中，例如当用户进行视频直播并对观众介绍视频图像中的多个目标对象时，多个目标对象都会在视频图像中突出显示，例如每一个目标对象分别被一个箭头标记，此时，对应于每一个目标对象的注解也会在视频图像中显示。其中，多个注解在视频图像中的显示方式可以有不同的实施方式，例如，多个注解可以分别在视频图像中的不同区域显示，也可以分别在视频图像中的同一区域间隔显示，本实施例对此并不作具体限定。
值得注意的是，不论多个注解分别在视频图像中的不同区域显示，还是多个注解分别在视频图像中的同一区域间隔显示，注解的内容均可以在视频图像中全文显示，也可以在视频图像中以文字滚动的方式进行显示，本实施例对此并不作具体限定。此外，当多个注 解分别在视频图像中的不同区域显示时，这些注解可以在显示一定时长之后消隐，也可以在用户介绍完全部目标对象之后消隐，本实施例对此并不作具体限定。另外，当多个注解分别在视频图像中的同一区域间隔显示时，这些注解可以在用户介绍完全部目标对象之后消隐。值得注意的是，判断用户介绍完全部目标对象，可以通过视频画面被切换而确定，或者通过用户的语音信号而确定，或者通过持续设定时长而确定，本实施例对此并不作具体限定。
另外，在一实施例中，当多个目标对象中存在相同的对象类型，在视频图像中对存在相同对象类型的目标对象中的至少一个标记注解。
在一实施例中，例如当用户进行视频直播并对观众介绍视频图像中的目标对象时，如果同一对象类型的目标对象存在多个，则这相同对象类型的多个目标对象都会在视频图像中突出显示，例如每一个目标对象分别被一个箭头标记，此时，可以在视频图像中对这相同对象类型的多个目标对象中的至少一个进行注解的标记，例如，仅在视频图像中针对相同对象类型的多个目标对象标记一个注解，或者，从相同对象类型的多个目标对象中任意选择其中的两个并分别进行注解的标记，本实施例对此并不作具体限定。
此外，在一实施例中，该视频处理方法还包括以下步骤：
步骤S700，在视频图像中对目标对象标记注解后，存储标记有注解的视频图像。
在一实施例中，当在视频图像中对目标对象标记注解后，可以存储标记有注解的视频图像，以便于后续能够对标记有注解的视频图像进行发布。例如，当用户在非直播的情况下利用终端的相机功能进行视频拍摄时，或者用户利用终端从服务器中下载并播放视频时，或者用户打开保存在终端的本地视频时，通过触发信号确定视频图像中与触发信号对应的目标对象，并在视频图像中对目标对象标记注解后，由于用户并不是马上即对标记有注解的视频图像进行发布，因此用户可以先存储标记有注解的视频图像，当用户后续需要对标记有注解的视频图像进行发布时，用户即可把标记有注解的视频图像进行发布，因此不需要进行额外的后期编辑处理，从而可以提高用户的使用体验。
为了能够更好地说明本申请实施例所提供的视频处理方法，下面以具体的示例进行详细的描述说明：
在一具体示例中，如图7所示，当用户利用智能手机200进行视频拍摄时，用户先打开智能手机200的相机功能，并选择视频拍摄模式，此时，当用户选择好需要拍摄的景物后，如图7所示，智能手机200的触摸显示屏300中，取景画面显示出“红旗”这一景物，此时，用户可以点击触摸显示屏300中的录制功能按键400，当用户点击录制功能按键400后，智能手机200会进行视频的拍摄录制。
在一具体示例中，在视频的拍摄录制的过程中，如图8所示，用户对“红旗”这一景物进行介绍，此时，智能手机200可以获取用户针对“红旗”这一景物的介绍内容，当智能手机200获取到用户的语音信号中包括有“红旗”这一关键字信息后，智能手机200会根据关键字信息“红旗”，在视频图像中寻找“红旗”这一景物的具体位置，当智能手机200确定“红旗”这一景物在视频图像中的具体位置后，智能手机200通过圈点的方式把“红旗”这一景物突出显示在视频图像中，此时，智能手机200会继续获取用户的语音信号，当智能手机200识别出用户的语音信号中包括有对“红旗”这一景物的介绍内容时，智能手机200会把对应的介绍内容作为注解500并标记在视频图像中靠近“红旗”这一景物的位置处，以达到展示用户对“红旗”这一景物的介绍内容的目的。由于展示对“红旗”这一景物的介绍内容的操作是随着用户进行视频拍摄时完成的，即用户不需要对视频图像进行后期编辑，因此能够节省对视频图像的后期编辑处理，从而可以提高用户的使用体验。
另外，本申请的一个实施例还提供了一种终端，该终端包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序。
处理器和存储器可以通过总线或者其他方式连接。
存储器作为一种非暂态计算机可读存储介质，可用于存储非暂态软件程序以及非暂态性计算机可执行程序。此外，存储器可以包括高速随机存取存储器，还可以包括非暂态存储器，例如至少一个磁盘存储器件、闪存器件、或其他非暂态固态存储器件。在一些实施方式中，存储器可选包括相对于处理器远程设置的存储器，这些远程存储器可以通过网络连接至该处理器。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
需要说明的是，本实施例中的终端，可以包括有如图1所示实施例中的架构平台，本实施例中的终端和如图1所示实施例中的架构平台属于相同的发明构思，因此两者具有相同的实现原理以及技术效果，此处不再详述。
实现上述实施例的视频处理方法所需的非暂态软件程序以及指令存储在存储器中，当被处理器执行时，执行上述实施例的视频处理方法，例如，执行以上描述的图2中的方法步骤S100至S400、图3中的方法步骤S310至S320、图4中的方法步骤S400至S500、图5中的方法步骤S510至S520、图6中的方法步骤S330至S340。
以上所描述的终端实施例仅仅是示意性的，其中作为分离部件说明的单元可以是或者也可以不是物理上分开的，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。
此外，本申请的一个实施例还提供了一种计算机可读存储介质，该计算机可读存储介 质存储有计算机可执行指令，该计算机可执行指令被一个处理器或控制器执行，例如，被上述终端实施例中的一个处理器执行，可使得上述处理器执行上述实施例中的视频处理方法，例如，执行以上描述的图2中的方法步骤S100至S400、图3中的方法步骤S310至S320、图4中的方法步骤S400至S500、图5中的方法步骤S510至S520、图6中的方法步骤S330至S340。
本申请实施例的方法包括：获取视频图像；获取触发信号；根据所述触发信号确定所述视频图像中与所述触发信号对应的目标对象；根据所述触发信号使所述目标对象在所述视频图像中突出显示。根据本申请实施例提供的方案，在获取到视频图像时，会获取触发信号，并且根据触发信号确定视频图像中与触发信号对应的目标对象，接着，根据触发信号使目标对象在视频图像中突出显示，因此，在获取到视频图像时，例如用户在进行视频拍摄而使得终端获取到视频图像时，根据触发信号即可对视频图像中的目标对象进行处理，使得目标对象能够在拍摄视频的过程中即可在视频图像中突出显示，即，使目标对象能够在视频图像中突出显示的操作是随着用户进行视频拍摄时完成的，因此能够节省用户对视频的后期编辑处理，从而可以提高用户的使用体验。
本领域普通技术人员可以理解，上文中所公开方法中的全部或某些步骤、系统可以被实施为软件、固件、硬件及其适当的组合。某些物理组件或所有物理组件可以被实施为由处理器，如中央处理器、数字信号处理器或微处理器执行的软件，或者被实施为硬件，或者被实施为集成电路，如专用集成电路。这样的软件可以分布在计算机可读介质上，计算机可读介质可以包括计算机存储介质(或非暂时性介质)和通信介质(或暂时性介质)。如本领域普通技术人员公知的，术语计算机存储介质包括在用于存储信息(诸如计算机可读指令、数据结构、程序模块或其他数据)的任何方法或技术中实施的易失性和非易失性、可移除和不可移除介质。计算机存储介质包括但不限于RAM、ROM、EEPROM、闪存或其他存储器技术、CD-ROM、数字多功能盘(DVD)或其他光盘存储、磁盒、磁带、磁盘存储或其他磁存储装置、或者可以用于存储期望的信息并且可以被计算机访问的任何其他的介质。此外，本领域普通技术人员公知的是，通信介质通常包含计算机可读指令、数据结构、程序模块或者诸如载波或其他传输机制之类的调制数据信号中的其他数据，并且可包括任何信息递送介质。
以上是对本申请的较佳实施进行了具体说明，但本申请并不局限于上述实施方式，熟悉本领域的技术人员在不违背本申请精神的前提下还可作出种种的等同变形或替换，这些等同的变形或替换均包含在本申请权利要求所限定的范围内。

Claims (12)

  1. 一种视频处理方法，包括：
    获取视频图像；
    获取触发信号；
    根据所述触发信号确定所述视频图像中与所述触发信号对应的目标对象；以及
    根据所述触发信号使所述目标对象在所述视频图像中突出显示。
  2. 根据权利要求1所述的视频处理方法，其中，所述触发信号包括触摸屏事件响应信号，所述根据所述触发信号确定所述视频图像中与所述触发信号对应的目标对象，包括：
    根据所述触摸屏事件响应信号确定所述视频图像中被选择的触发位置；以及
    根据所述触发位置确定与所述触摸屏事件响应信号对应的目标对象。
  3. 根据权利要求2所述的视频处理方法，还包括：
    获取第一语音信号；以及
    根据所述第一语音信号在所述视频图像中对所述目标对象标记注解。
  4. 根据权利要求3所述的视频处理方法，其中，所述根据所述第一语音信号在所述视频图像中对所述目标对象标记注解，包括：
    获取所述第一语音信号中的第一关键字信息；以及
    在所述视频图像中利用所述第一关键字信息对所述目标对象标记注解，
    或者，
    根据所述第一关键字信息获取与所述第一关键字信息对应的预置注解，在所述视频图像中利用所述预置注解对所述目标对象标记注解。
  5. 根据权利要求1所述的视频处理方法，其中，所述触发信号包括第二语音信号，所述根据所述触发信号确定所述视频图像中与所述触发信号对应的目标对象，包括：
    获取所述第二语音信号中的第二关键字信息；以及
    根据所述第二关键字信息确定所述视频图像中与所述第二关键字信息对应的目标对象。
  6. 根据权利要求5所述的视频处理方法，还包括：
    根据所述第二语音信号在所述视频图像中对所述目标对象标记注解。
  7. 根据权利要求6所述的视频处理方法，其中，所述根据所述第二语音信号在所述视频图像中对所述目标对象标记注解，包括：
    在所述视频图像中利用所述第二关键字信息对所述目标对象标记注解；
    或者，
    根据所述第二关键字信息获取与所述第二关键字信息对应的预置注解，在所述视频图 像中利用所述预置注解对所述目标对象标记注解；
    或者，
    获取所述第二语音信号中的第三关键字信息，在所述视频图像中利用所述第三关键字信息对所述目标对象标记注解。
  8. 根据权利要求4或7所述的视频处理方法，其中，所述目标对象的数量为多个，多个所述目标对象的注解分别在所述视频图像中的不同区域显示或者在所述视频图像中的同一区域间隔显示。
  9. 根据权利要求8所述的视频处理方法，其中，当多个所述目标对象中存在相同的对象类型，在所述视频图像中对存在相同对象类型的所述目标对象中的至少一个标记注解。
  10. 根据权利要求1所述的视频处理方法，其中，所述根据所述触发信号使所述目标对象在所述视频图像中突出显示，包括：
    根据所述触发信号在所述视频图像中圈出所述目标对象；
    或者，
    根据所述触发信号在所述视频图像中对所述目标对象添加箭头指示；
    或者，
    根据所述触发信号在所述视频图像中对所述目标对象添加特效，所述特效包括发光、放大和改变颜色中的至少一种。
  11. 一种终端，包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如权利要求1至10中任意一项所述的视频处理方法。
  12. 一种计算机可读存储介质，存储有计算机可执行指令，所述计算机可执行指令用于执行权利要求1至10中任意一项所述的视频处理方法。
PCT/CN2021/086320 2020-04-23 2021-04-11 视频处理方法、终端及计算机可读存储介质 WO2021213191A1 (zh)

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