CN114630057A - Method and device for determining special effect video, electronic equipment and storage medium - Google Patents

Method and device for determining special effect video, electronic equipment and storage medium Download PDF

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Publication number
CN114630057A
CN114630057A CN202210238163.8A CN202210238163A CN114630057A CN 114630057 A CN114630057 A CN 114630057A CN 202210238163 A CN202210238163 A CN 202210238163A CN 114630057 A CN114630057 A CN 114630057A
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video frame
special effect
processed
audio
video
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CN114630057B (en
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陈嘉俊
全浩
阮翔鸿
周栩彬
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Beijing Zitiao Network Technology Co Ltd
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Beijing Zitiao Network Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment
    • H04N5/262Studio 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
    • H04N5/2621Cameras specially adapted for the electronic generation of special effects during image pickup, e.g. digital cameras, camcorders, video cameras having integrated special effects capability

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  • Processing Or Creating Images (AREA)

Abstract

The embodiment of the disclosure provides a method, a device, electronic equipment and a storage medium for determining a special effect video, wherein the method comprises the following steps: responding to special effect triggering operation, and determining a fuzzy video frame corresponding to a current video frame to be processed; determining an audio special effect consistent with the audio information of the current video frame to be processed; taking the blurred video frame as a background image of a current special effect video frame, and taking the audio special effect as a foreground image of the current special effect video frame; and obtaining the target special effect video by splicing the special effect video frames of the video frames to be processed. According to the technical scheme, the voice of the user is displayed in a visual mode, the interestingness of the special-effect video is enhanced, meanwhile, the to-be-processed video frame shot by the user is subjected to fuzzy processing, and the personalized requirements of the user are met.

Description

Method and device for determining special effect video, electronic equipment and storage medium
Technical Field
The embodiment of the disclosure relates to the technical field of video processing, and in particular, to a method and an apparatus for determining a special effect video, an electronic device, and a storage medium.
Background
With the development of network technology, more and more application programs enter the life of users, and particularly, a series of software capable of shooting short videos is deeply favored by the users. For example, a user may take a video through application software and publish the video to a particular platform or share the video to other users.
However, in the prior art, the video special effects provided for the user by the application are not rich enough, the video content shot by the user lacks interest, and meanwhile, the personalized requirements of the user are not considered in the video shooting process, so that the use experience of the user is reduced.
Disclosure of Invention
The invention provides a method, a device, electronic equipment and a storage medium for determining a special-effect video, which not only can present the voice of a user in a visual form and enhance the interestingness of the special-effect video, but also can perform fuzzy processing on a to-be-processed video frame shot by the user and meet the personalized requirements of the user.
In a first aspect, an embodiment of the present disclosure provides a method for determining a special effect video, including:
responding to special effect triggering operation, and determining a fuzzy video frame corresponding to a current video frame to be processed; determining an audio special effect consistent with the audio information of the current video frame to be processed;
taking the fuzzy video frame as a background image of a current special-effect video frame, and taking the audio special effect as a foreground image of the current special-effect video frame;
and obtaining the target special effect video by splicing the special effect video frames of the video frames to be processed.
In a second aspect, an embodiment of the present disclosure further provides an apparatus for determining a special effect video, including:
the fuzzy video frame determining module is used for responding to the special effect triggering operation and determining a fuzzy video frame corresponding to the current video frame to be processed; determining an audio special effect consistent with the audio information of the current video frame to be processed;
the special effect video frame generation module is used for taking the fuzzy video frame as a background image of the current special effect video frame and taking the audio special effect as a foreground image of the current special effect video frame;
and the target special effect video generation module is used for obtaining the target special effect video through the splicing processing of the special effect video frames of the video frames to be processed.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of determining a special effects video as any of the embodiments of the present disclosure.
In a fourth aspect, the disclosed embodiments also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the method of determining a special effects video according to any of the disclosed embodiments.
According to the technical scheme of the embodiment of the disclosure, a fuzzy video frame corresponding to a current video frame to be processed and an audio special effect consistent with audio information of the current video frame to be processed are determined in response to a special effect triggering operation; the method comprises the steps of taking a fuzzy video frame as a background image, taking an audio special effect as a foreground image, constructing a current special effect video frame, further splicing the special effect video frames to obtain a target special effect video, presenting the voice of a user in a visual mode, enhancing the interestingness of the special effect video, meanwhile, carrying out fuzzy processing on a video frame to be processed shot by the user, meeting the personalized requirements of the user, and improving the use experience of the user in the process of making the special effect video.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a flowchart illustrating a method for determining a special effect video according to a first embodiment of the disclosure;
fig. 2 is a schematic structural diagram of an apparatus for determining a special effect video according to a second embodiment of the disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units. It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
Before introducing the technical solution, an application scenario of the embodiment of the present disclosure may be exemplarily described. For example, when a user shoots a video through application software or performs a video call with another user, the shot video content may be expected to be more interesting, and meanwhile, some users may have personalized requirements for the picture shot by the video (for example, some users suffering from social phobia do not want their own features and the like to be displayed in the video), it can be understood that these users wish to hide all or part of the content in the shot picture (for example, their own facial images).
Example one
Fig. 1 is a flowchart illustrating a method for determining a special effect video according to an embodiment of the present disclosure, where the method is suitable for generating a special effect video with more interest while satisfying a personalized requirement of a user, and the method may be executed by a device for determining a special effect video, where the device may be implemented in a form of software and/or hardware, and optionally, implemented by an electronic device, where the electronic device may be a mobile terminal, a PC terminal, a server, or the like.
As shown in fig. 1, the method includes:
s110, responding to special effect triggering operation, and determining a fuzzy video frame corresponding to a current video frame to be processed; and determining an audio special effect consistent with the audio information of the current video frame to be processed.
The device for executing the special effect video processing method provided by the embodiment of the present disclosure may be integrated into application software supporting a special effect video processing function, and the software may be installed in an electronic device, and optionally, the electronic device may be a mobile terminal or a PC terminal, and the like. The application software may be a type of software for image/video processing, and specific application software thereof is not described herein any more, as long as image/video processing can be implemented. The system can also be a specially developed application program to realize software for adding and displaying special effects, or be integrated in a corresponding page, and a user can realize the processing of special effect videos through the page integrated in the PC terminal.
In this embodiment, in application software or an application program that supports a special-effect video processing function, a control for triggering a special effect may be developed in advance, and when it is detected that a user triggers the control, a response may be made to a special-effect triggering operation.
In this embodiment, the current video frame to be processed may be a frame of image that is shot by the electronic device installed with the application software when responding to the special effect triggering operation, or may be a frame of image in a currently played video, and correspondingly, the blurred video frame is a frame of image obtained after blurring the current video frame to be processed.
It can be understood that the blurred video frame does not show the content in the picture as clearly as the video frame to be processed, but reduces the sharpness of the picture, i.e. generates a blurred visual effect on the picture, thereby hiding all or part of the information in each frame of the picture. For example, after a plurality of frames of video to be processed including user face information are processed to obtain corresponding blurred video frames, the user appearance cannot be accurately identified only through the blurred video frames.
In the practical application process, there are various ways of determining the blurred video frame, and optionally, a blurred filter is added to the current video frame to be processed to obtain the blurred video frame; or, performing Gaussian blur processing on the current video frame to be processed to obtain a blurred video frame; or, inputting the current video frame to be processed into a fuzzy processing model to obtain a fuzzy video frame; or, if the current video frame to be processed includes the target object, the target object is subjected to fuzzy processing to obtain a fuzzy video frame. The above-described modes will be described below.
In a first way of determining a blurred video frame, the blur filter may be a pre-developed filter in the application software. Specifically, after the blurring filter is added to the video frame to be processed, the blurring effect can be generated in all regions of each frame of image, and the blurring effect can also be generated in regions with higher definition or stronger contrast in each frame of image, so that the corresponding blurred video frame is obtained. It should be understood by those skilled in the art that when only a partial region in an image is blurred, the blurring process may be implemented by balancing related parameters of pixel points in different regions in the image, and details of the embodiment of the disclosure are not repeated herein.
In a second way of determining blurred video, gaussian blur is also called gaussian smoothing, and the image noise and the level of detail can be reduced by gaussian blur processing, and the image generated by the blurring technique has the visual effect that the image is observed through a frosted glass. Based on the above, it can be understood that after the current video frame to be processed is subjected to gaussian blurring processing, a corresponding blurred video frame can be obtained as well.
In a third way of determining the blurred video, the blur processing model may be a pre-trained neural network model, and may be integrated in the relevant application software, at least for generating blurred video frames. It will be appreciated that the input to the model is the acquired current video frame to be processed, and the output of the model is the corresponding blurred video frame. It should be understood by those skilled in the art that, for the fuzzy processing model, training may be performed based on the corresponding training set and the verification set, and when the loss function of the fuzzy processing model converges, it indicates that the model training may be integrated in the application after completion of the model training, and the specific training process is not described in detail in this embodiment.
In a fourth way of determining a blurred video, a target object may be set in an application in advance, for example, image data including face information of a specific user is input into the application as the target object, and further, when the application responds to a special effect trigger operation and recognizes the face information of the specific user in a display interface, a current video frame to be processed may be automatically blurred to obtain a corresponding blurred video frame. It is understood that in this mode, when the target object is not recognized in the display interface, the blurring process is not performed on each frame image.
In this embodiment, while acquiring a current to-be-processed video frame, in order to present the sound of the user in a visual form in the special effect video, it is first necessary to acquire audio information of the user. For example, voice information uttered by a user is collected through a microphone on the electronic device while a video is being taken. It is understood that the audio information contains at least audio features that characterize the audio content or audio characteristics. In the practical application process, the audio characteristics may further include a voiceprint spectrum characteristic, and correspondingly, the audio special effect may also be a dynamic spectrum (such as dynamic ripples) displayed as an electroacoustical singularity, and when the precision of the audio special effect reaches a certain value, a specific user and voice information sent by the user can be represented at least through the sonic spectrum; meanwhile, when the volume in the audio changes, the dynamic ripple in the voiceprint speech fluctuates, and when the volume is high, the fluctuation of the dynamic ripple is larger, correspondingly, when the volume is low, the fluctuation of the dynamic ripple is smaller. It should be noted that, in order to make the visual effect and the auditory effect in the finally generated special effect video uniform, the voiceprint speech also needs to be consistent with the audio information of the current video frame to be processed.
Further, after the audio information is analyzed and the audio features are obtained by the application, an audio special effect corresponding to the audio features of the audio information may be constructed, where the audio special effect may be a cartoon map shown in the display interface and used for representing the audio features, such as a pre-constructed small animal cartoon map, or ripples corresponding to a voiceprint spectrum.
In the embodiment, the display form of the audio special effect comprises dynamic display and/or static display. Specifically, the dynamic display is to display the audio features based on animation, and the static display is to statically display the audio features on the display interface. Illustratively, when an application dynamically displays a pre-constructed small animal cartoon map, the map may continuously bounce up and down in a display interface along with changes in audio characteristics, and when the application statically displays ripples corresponding to a voiceprint spectrum, the application may splice a plurality of sections of ripples into a whole section and display the whole section on the display interface based on a timestamp.
Optionally, the audio information corresponding to the current video frame to be processed is processed based on the voiceprint feature extraction model, so as to obtain the voiceprint speech. The voiceprint feature extraction model can be a pre-trained model and can be integrated in application. It can be understood that after the audio information of the user is collected, the audio information can be input into the voiceprint feature extraction model, and therefore the corresponding voiceprint voice is obtained. Certainly, in an actual application process, the voiceprint voice input by the voiceprint feature extraction model may be a voiceprint spectrum with a plurality of animation effects, for example, the output voiceprint spectrum may be presented in a plurality of shapes or colors, and it should be understood by those skilled in the art that a specific visual effect presented by the voiceprint voice may be selected according to an actual situation, and the embodiment of the present disclosure is not specifically limited herein.
And S120, taking the fuzzy video frame as a background image of the current special-effect video frame, and taking the audio special effect as a foreground image of the current special-effect video frame.
In this embodiment, after determining the blurred video frame and the audio special effect, a special effect video frame can be constructed based on the above information. Specifically, the special effect video frame includes a background image and a foreground image, the foreground image is superimposed and displayed on the background image, and the whole area or a part of the area of the background image can be shielded, so that the constructed special effect video frame has a more hierarchical effect, and a process of determining the background image is described below.
Optionally, in the process of determining the background image, an overlay background image corresponding to the current video frame to be processed and a target transparency corresponding to the overlay background image may be determined; and superposing the superposed background image on the blurred video frame according to the target transparency to serve as the background image.
The superimposed background image may be an image preset by a user through application, or an image automatically selected by the application according to information such as brightness and color of the video frame to be processed. Specifically, the image may be a pure color image, such as a pure black image or a pure gray image, and when the pure color image is selected as the superimposed background image, the visual effect presented by the finally obtained special effect video frame may be softer. It will be appreciated that the automatically selected image is more adaptive to the picture presented by the video frame to be processed.
In the process of practical application, the pixel mean value can be determined according to the pixel value of each pixel point in the current video frame to be processed; and determining a superposition background image corresponding to the current video frame to be processed based on the pixel mean value. For example, the current video frame to be processed is analyzed, so that the pixel value of each pixel point in the picture is determined, further, the pixels of all channels (R, G, B) are averaged to obtain the pixel average value reflecting the average brightness of the current video frame to be processed, and based on the pixel average value, the image of the corresponding color can be determined to be used as the superposition background image. It is to be understood that a solid color overlay background image is determined based on the pixel mean.
In order to enable the finally generated special-effect video to present a better visual effect, while determining the superimposed background image, the target transparency of the image needs to be determined, and similarly, a user may set the target transparency in advance by applying, and the application may also dynamically select the corresponding target transparency according to information such as brightness, color, and the like of the video frame to be processed, which is not described herein again. And finally, superposing the superposed background image on the blurred video frame according to the target transparency to obtain the background image of the special-effect video frame. It should also be noted that the superimposed background image is provided with a certain transparency.
For example, after the blurred video frame is determined, the application may automatically select a gray image as the superimposed background image according to the blurred video frame, and determine that the target transparency of the gray image is 50% according to a parameter preset by a user, on the basis, the gray image may be adjusted to 50% transparency and then superimposed on the blurred video frame, and the superimposed image is used as the background image.
In this embodiment, after the background image is determined, the audio special effect corresponding to the time corresponding to the background information can be used as the foreground image and superimposed on the background image, so as to construct the special effect video frame. It should be understood by those skilled in the art that, when there are a plurality of to-be-processed video frames, the application may determine, based on the scheme of this embodiment, corresponding special-effect video frames for the to-be-processed video frames, which is not described herein again in this disclosure.
And S130, splicing the special effect video frames of the video frames to be processed to obtain a target special effect video.
In this embodiment, after a plurality of corresponding special effect video frames are determined for a plurality of to-be-processed video frames, a sequence corresponding to the plurality of special effect video frames can be determined according to a timestamp carried by each to-be-processed video frame, so that the plurality of special effect video frames are spliced according to the sequence to obtain a target special effect video. It can be understood that, in the target special effect video, the content in each to-be-processed video frame is displayed with a blurred visual effect, and at the same time, the voiceprint voice at the corresponding moment is displayed at a specific position on the upper layer of the picture, that is, the audio at the moment of the user is displayed in a visualized form.
In this embodiment, after the video frame to be processed is processed in a fuzzy manner and only the voiceprint voice is displayed, although the personalized requirements of the user are met, the video watching experience of other users may be affected, so that in order to improve the attractiveness of the special effect video to other users, a target character model may be added to the special effect video, and the process is described below.
Specifically, a target character model is superimposed in a foreground image; acquiring limb action information and/or facial expression of a target object in a current video frame to be processed; the target character model is adjusted to match the limb movements and/or facial expressions.
The target character model may be a preset static or dynamic 3D model that at least presents an anthropomorphic representation, such as a virtual cartoon character. Meanwhile, the target character model may be superimposed in the foreground image, for example, by rendering the target character model above or below the voiceprint speech. As will be understood by those skilled in the art, the target character model can also cover all or part of the background image, so that the constructed special effect video frame is more hierarchical.
In this embodiment, when the target character model is a dynamic model, in order to further enhance the interest of the special effect video, the action of the model in the special effect video may be matched with the real action of the user. Illustratively, when it is determined that the arm of the user is lifted through the key point recognition technology in the current video frame to be processed, the arm of the target character model also needs to be adaptively adjusted, that is, the arm of the virtual character is lifted; in the next video frame to be processed, if it is determined that the user's arm has been dropped, the arm adaptability of the virtual character needs to be adjusted to be dropped. Based on the above, in the finally generated special effect video, the target character model can make an action basically consistent with the actual action of the user. It should be noted that, in the actual application process, the application may also capture the facial expression of the user in the video frame to be processed, so as to adaptively adjust the expression of the target character model, which is not described herein again in this disclosure.
It is understood that in any frame of the special effect video, the body movement and/or facial expression of the target character model matches with the body movement and/or facial expression of the target object in the video frame to be processed.
In an actual application process, on one hand, the special effect video may be generated in real time according to the scheme of the embodiment, for example, in real time during a video call by a plurality of users. On the other hand, the existing video can be post-processed to generate the special effect video. The following explains the special effect video obtained by the post-processing.
Specifically, if the target special effect video frame is generated in a video recording mode, determining character information corresponding to the audio information; and when the target special-effect video is played, displaying the text information in the target area of the playing interface.
Specifically, the mode is different from a video call mode among a plurality of users, and the video recording mode refers to a mode in which a user autonomously shoots a video, and in this mode, the user can shoot a special effect video based on a function provided by an application, and perform further processing, storage, sharing or the like on the generated special effect video.
When a target special-effect video is generated in a video recording mode, in order to facilitate a user to share the special-effect video and improve the application intelligence, text information corresponding to audio information can be determined based on a pre-trained voice recognition model and/or a pre-trained semantic recognition model, and the text information is displayed in a target area of a playing interface, wherein in the process, in order to avoid the influence on the watching experience of the user caused by the fact that the text information is shielded, the target area is located in a foreground image of each special-effect video frame to be processed; meanwhile, in order to prevent the text information from blocking the voiceprint voice in each frame of special-effect image and avoid visual confusion of the two elements caused by the watching user, the text information and the voiceprint voice corresponding to the audio information need to be displayed in the middle of the playing interface separately, for example, the text information is displayed in the form of white and specific font at the lowest part of the playing interface, and the voiceprint voice is superimposed in the central position of the background image in a horizontal shape and multiple colors, so as to be displayed in the center of the playing interface.
Those skilled in the art should understand that there may be a difference in the audio information corresponding to each frame of picture in the special-effect video, and based on this, the text information displayed in the playing interface may also change continuously with the playing of the video. By displaying the text information corresponding to the audio information in the playing interface, the technical effect of automatically adding the caption to the special-effect video is achieved, and the problem that the special-effect video watching experience of other users is influenced due to the fact that the audio information input by the user is not clear is solved.
It should be noted that, after generating corresponding text information for the target special effect video, in order to avoid the phenomenon that three elements of audio information, text information and voiceprint voice in the special effect video are not synchronous, the same-frequency display of the audio information, the text information and the voiceprint voice can be adjusted. Illustratively, a control for adjusting the time stamps of the three elements is developed in advance in application, and after corresponding text information is determined for audio information corresponding to each frame of picture in a special effect video, if it is found in the generated special effect video that text information in a certain frame or multiple frames is not synchronous with actual audio information, the text information corresponding to the certain frame or multiple frames of special effect images can be adjusted by applying an adjustment operation to the control for controlling the time stamps of the text information. It can be understood that when the voiceprint speech in one or more frames of the special-effect video is not synchronous with the actual audio, the timestamp of the voiceprint speech can be adjusted in the above manner, and the details of the embodiment of the disclosure are not repeated herein.
In this embodiment, the application may also present a target keyword associated with the audio information on the display interface. Optionally, at least one target keyword on the display interface is updated according to historical audio information of each historical video frame to be processed before the current video frame to be processed.
Specifically, after determining the audio information of the user, the application may analyze the audio information based on a pre-trained speech processing model, and extract keywords therein. The keywords may be one or more words appearing in the audio information with the highest frequency, or may also be words appearing in the audio information and consistent with contents in a keyword lexicon constructed in advance, and of course, in an actual application process, the keywords may also be current popular words appearing in the audio information, or professional words related to a certain field, and the like.
In this embodiment, after the application determines the keywords in the audio information, the keywords may be displayed in the display interface, where the displayed keywords are at least used to implement a function of positioning the historical video frames. Specifically, when a trigger target keyword is detected, skipping to a historical target special-effect video frame corresponding to the target keyword and playing; the historical target special effect video frame is based on a video frame obtained after the historical video frame to be processed is subjected to special effect processing.
It can be understood that when the application detects that the user performs a trigger operation on any one of the keywords, the keyword is a target keyword, and further, the application can automatically jump the currently played special effect video frame to a historical special effect video frame containing the keyword, so that when the user subsequently recalls the content related to the certain keyword, the user can quickly locate the special effect video frame corresponding to the certain content. Illustratively, the vocabulary of the 'technical scheme' appears in the audio information of the user, meanwhile, the application determines that the vocabulary is a keyword and displays the keyword in the display interface, on the basis, when the user subsequently plays back the special effect video generated by the application, if the user wants to only watch the part of the special effect video which refers to the 'technical scheme', the vocabulary of the 'technical scheme' displayed on the display interface can be clicked, and when the application detects the trigger operation of the user, the user can automatically jump to the historical special effect video frame which firstly appears the vocabulary of the 'technical scheme', and the playing is continued from the frame.
According to the technical scheme of the embodiment of the disclosure, a fuzzy video frame corresponding to a current video frame to be processed and an audio special effect consistent with audio information of the current video frame to be processed are determined in response to a special effect triggering operation; the method comprises the steps of taking a fuzzy video frame as a background image, taking an audio special effect as a foreground image, constructing a current special effect video frame, further splicing the special effect video frames to obtain a target special effect video, presenting the voice of a user in a visual mode, enhancing the interestingness of the special effect video, meanwhile, carrying out fuzzy processing on a video frame to be processed shot by the user, meeting the personalized requirements of the user, and improving the use experience of the user in the process of making the special effect video.
Example two
Fig. 2 is a schematic structural diagram of an apparatus for determining a special effect video according to a second embodiment of the disclosure, as shown in fig. 2, the apparatus includes: a blurred video frame determination module 210, a special effect video frame generation module 220, and a target special effect video generation module 230.
A blurred video frame determining module 210, configured to determine, in response to a special effect trigger operation, a blurred video frame corresponding to a current video frame to be processed; and determining an audio special effect consistent with the audio information of the current video frame to be processed.
The special effect video frame generating module 220 is configured to use the blurred video frame as a background image of the current special effect video frame, and use the audio special effect as a foreground image of the current special effect video frame.
And the target special-effect video generating module 230 is configured to obtain a target special-effect video by performing stitching processing on the special-effect video frames of the to-be-processed video frames.
On the basis of the above technical solutions, the blurred video frame determination module 210 includes a blurred video frame determination unit and an audio special effect determination unit.
A fuzzy video frame determining unit, configured to add a fuzzy filter to the current video frame to be processed to obtain the fuzzy video frame; or, performing Gaussian blur processing on the current video frame to be processed to obtain a blurred video frame; or, inputting the current video frame to be processed into a fuzzy processing model to obtain the fuzzy video frame; or, if the current video frame to be processed comprises the target object, performing fuzzy processing on the target object to obtain a fuzzy video frame.
And the audio special effect determining unit is used for processing the audio information corresponding to the current video frame to be processed based on the voiceprint feature extraction model to obtain the audio special effect.
On the basis of the technical schemes, the audio special effect corresponds to the audio characteristics of the audio information; the audio features comprise voiceprint spectral features; the display form of the audio special effect comprises dynamic display and/or static display, wherein the dynamic display is based on animation display audio characteristics, and the static display is static display of the audio characteristics on a display interface.
On the basis of the above technical solutions, the special effect video frame generating module 220 includes a superimposition background image determining unit and a background image determining unit.
And the superposition background image determining unit is used for determining a superposition background image corresponding to the current video frame to be processed and the target transparency corresponding to the superposition background image.
And the background image determining unit is used for superposing the superposed background image on the blurred video frame according to the target transparency to serve as the background image.
Optionally, the superimposed background image determining unit is further configured to determine a pixel mean value according to a pixel value of each pixel point in the current video frame to be processed; and determining a superposition background image corresponding to the current video frame to be processed based on the pixel mean value.
On the basis of the technical schemes, the device for determining the special effect video further comprises a target character model determining module.
A target character model determination module for superimposing a target character model in the foreground image; acquiring limb action information and/or facial expression of a target object in the current video frame to be processed; and adjusting the target character model to be matched with the limb actions and/or the facial expressions.
On the basis of the technical schemes, the device for determining the special effect video further comprises a target keyword updating module.
And the target keyword updating module is used for updating at least one target keyword on the display interface according to historical audio information of each historical video frame to be processed before the current video frame to be processed.
On the basis of the technical schemes, the device for determining the special effect video further comprises a skip module.
The skipping module is used for skipping to a historical target special-effect video frame corresponding to the target keyword and playing the historical target special-effect video frame when the trigger target keyword is detected; the historical target special effect video frame is based on a video frame obtained after the historical video frame to be processed is subjected to special effect processing.
On the basis of the technical schemes, the device for determining the special effect video further comprises a text information determining module.
The text information determining module is used for determining text information corresponding to the audio information if the target special effect video frame is generated in a video recording mode; when the target special-effect video is played, displaying the text information in a target area of a playing interface; and the target area is positioned in a foreground image of each special effect video frame to be processed.
On the basis of the above technical solutions, the apparatus for determining a special effect video further includes an adjustment module.
And the adjusting module is used for adjusting the audio information, the character information and the audio special effect to be displayed at the same frequency.
On the basis of the technical solutions, the device for determining the special effect video further comprises a distinguishing display module.
And the distinguishing display module is used for distinguishing and displaying the character information and the audio special effect corresponding to the audio information in the middle and lower parts of the playing interface.
According to the technical scheme provided by the embodiment, a fuzzy video frame corresponding to a current video frame to be processed and an audio special effect consistent with the audio information of the current video frame to be processed are determined in response to a special effect triggering operation; the method comprises the steps of taking a fuzzy video frame as a background image, taking an audio special effect as a foreground image, constructing a current special effect video frame, further splicing the special effect video frames to obtain a target special effect video, presenting the voice of a user in a visual mode, enhancing the interestingness of the special effect video, meeting the personalized requirements of the user through fuzzy processing of a video frame to be processed shot by the user, and improving the use experience of the user in the process of manufacturing the special effect video.
The device for determining the special effect video, provided by the embodiment of the disclosure, can execute the method for determining the special effect video provided by any embodiment of the disclosure, and has the corresponding functional modules and beneficial effects of the execution method.
It should be noted that, the units and modules included in the apparatus are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the embodiments of the present disclosure.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present disclosure. Referring now to FIG. 3, a block diagram of an electronic device (e.g., the terminal device or server of FIG. 3) 300 suitable for use in implementing embodiments of the present disclosure is shown. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 3, electronic device 300 may include a processing device (e.g., central processing unit, pattern processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)302 or a program loaded into a Random Access Memory (RAM)303 from a storage device 306. In the RAM 303, various programs and data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An edit/output (I/O) interface 305 is also connected to bus 304.
Generally, the following devices may be connected to the I/O interface 305: editing devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 309, or installed from the storage means 306, or installed from the ROM 302. The computer program, when executed by the processing device 301, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The electronic device provided by the embodiment of the present disclosure and the method for determining a special effect video provided by the above embodiment belong to the same inventive concept, and technical details that are not described in detail in the embodiment can be referred to the above embodiment, and the embodiment has the same beneficial effects as the above embodiment.
Example four
The disclosed embodiments provide a computer storage medium having a computer program stored thereon, which when executed by a processor implements the method for determining a special effect video provided by the above-described embodiments.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to:
responding to special effect triggering operation, and determining a fuzzy video frame corresponding to a current video frame to be processed; determining an audio special effect consistent with the audio information of the current video frame to be processed;
taking the fuzzy video frame as a background image of a current special-effect video frame, and taking the audio special effect as a foreground image of the current special-effect video frame;
and obtaining the target special effect video by splicing the special effect video frames of the video frames to be processed.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
According to one or more embodiments of the present disclosure, [ example one ] there is provided a method of determining a special effects video, the method comprising:
responding to special effect triggering operation, and determining a fuzzy video frame corresponding to a current video frame to be processed; determining an audio special effect consistent with the audio information of the current video frame to be processed;
taking the fuzzy video frame as a background image of a current special-effect video frame, and taking the audio special effect as a foreground image of the current special-effect video frame;
and obtaining the target special effect video by splicing the special effect video frames of the video frames to be processed.
According to one or more embodiments of the present disclosure, [ example two ] there is provided a method of determining a special effects video, the method further comprising:
optionally, a blur filter is added to the current video frame to be processed to obtain the blurred video frame; or the like, or, alternatively,
performing Gaussian blur processing on the current video frame to be processed to obtain a blurred video frame; or the like, or, alternatively,
inputting the current video frame to be processed into a fuzzy processing model to obtain the fuzzy video frame; or the like, or, alternatively,
and if the current video frame to be processed comprises the target object, carrying out fuzzy processing on the target object to obtain a fuzzy video frame.
According to one or more embodiments of the present disclosure, [ example three ] there is provided a method of determining a special effects video, the method further comprising:
optionally, the audio information corresponding to the current video frame to be processed is processed based on a voiceprint feature extraction model, so as to obtain the audio special effect.
According to one or more embodiments of the present disclosure, [ example four ] there is provided a method of determining a special effects video, the method further comprising:
optionally, the audio special effect corresponds to an audio feature of the audio information; the audio features comprise voiceprint spectral features; the display form of the audio special effect comprises dynamic display and/or static display, wherein the dynamic display is based on animation display audio characteristics, and the static display is static display of the audio characteristics on a display interface.
According to one or more embodiments of the present disclosure, [ example five ] there is provided a method of determining a special effects video, the method further comprising:
optionally, determining a superimposed background image corresponding to the current video frame to be processed, and a target transparency corresponding to the superimposed background image;
and superposing the superposed background image on the blurred video frame according to the target transparency to serve as the background image.
According to one or more embodiments of the present disclosure, [ example six ] there is provided a method of determining a special effects video, the method further comprising:
optionally, determining a pixel mean value according to a pixel value of each pixel point in the current video frame to be processed;
and determining a superposition background image corresponding to the current video frame to be processed based on the pixel mean value.
According to one or more embodiments of the present disclosure, [ example seven ] there is provided a method of determining a special effects video, the method further comprising:
optionally, a target character model is superimposed in the foreground image;
acquiring limb action information and/or facial expression of a target object in the current video frame to be processed;
and adjusting the target character model to be matched with the limb actions and/or the facial expressions.
According to one or more embodiments of the present disclosure [ example eight ] there is provided a method of determining a special effects video, the method further comprising:
optionally, at least one target keyword on the display interface is updated according to historical audio information of each historical video frame to be processed before the current video frame to be processed.
According to one or more embodiments of the present disclosure, [ example nine ] there is provided a method of determining a special effects video, the method further comprising:
optionally, when a trigger target keyword is detected, skipping to a historical target special-effect video frame corresponding to the target keyword, and playing;
the historical target special effect video frame is based on a video frame obtained after the historical video frame to be processed is subjected to special effect processing.
According to one or more embodiments of the present disclosure, [ example ten ] there is provided a method of determining a special effects video, the method further comprising:
optionally, if the target special effect video frame is generated in a video recording mode, determining text information corresponding to the audio information;
when the target special-effect video is played, displaying the text information in a target area of a playing interface;
and the target area is positioned in a foreground image of each special effect video frame to be processed.
According to one or more embodiments of the present disclosure, [ example eleven ] there is provided a method of determining a special effects video, the method further comprising:
optionally, the audio information, the text information and the audio special effect are adjusted to be displayed at the same frequency.
According to one or more embodiments of the present disclosure, [ example twelve ] there is provided a method of determining a special effects video, the method further comprising:
optionally, the text information and the audio special effect corresponding to the audio information are displayed in the middle and lower areas of the playing interface respectively.
According to one or more embodiments of the present disclosure, [ example thirteen ] provides an apparatus to determine a special effects video, the apparatus including:
the fuzzy video frame determining module is used for responding to the special effect triggering operation and determining a fuzzy video frame corresponding to the current video frame to be processed; determining an audio special effect consistent with the audio information of the current video frame to be processed;
the special effect video frame generation module is used for taking the fuzzy video frame as a background image of the current special effect video frame and taking the audio special effect as a foreground image of the current special effect video frame;
and the target special effect video generation module is used for obtaining the target special effect video through the splicing processing of the special effect video frames of the video frames to be processed.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims (15)

1. A method of determining a special effects video, comprising:
responding to special effect triggering operation, and determining a fuzzy video frame corresponding to a current video frame to be processed; determining an audio special effect consistent with the audio information of the current video frame to be processed;
taking the fuzzy video frame as a background image of a current special-effect video frame, and taking the audio special effect as a foreground image of the current special-effect video frame;
and obtaining the target special effect video by splicing the special effect video frames of the video frames to be processed.
2. The method of claim 1, wherein determining the blurred video frame corresponding to the current pending video frame comprises:
adding a fuzzy filter to the current video frame to be processed to obtain the fuzzy video frame; or the like, or, alternatively,
performing Gaussian blur processing on the current video frame to be processed to obtain a blurred video frame; or the like, or, alternatively,
inputting the current video frame to be processed into a fuzzy processing model to obtain the fuzzy video frame; or the like, or, alternatively,
and if the current video frame to be processed comprises the target object, carrying out fuzzy processing on the target object to obtain a fuzzy video frame.
3. The method of claim 1, wherein determining the audio effect that is consistent with the audio information of the current pending video frame comprises:
and processing the audio information corresponding to the current video frame to be processed based on a voiceprint feature extraction model to obtain the audio special effect.
4. The method of any of claims 1-3, wherein the audio special effect corresponds to an audio feature of the audio information; the audio features comprise voiceprint spectral features; the display form of the audio special effect comprises dynamic display and/or static display, wherein the dynamic display is based on animation display audio characteristics, and the static display is static display of the audio characteristics on a display interface.
5. The method according to claim 1, wherein the using the blurred video frame as a background image of the current special effect video frame comprises:
determining a superposition background image corresponding to the current video frame to be processed and a target transparency corresponding to the superposition background image;
and superposing the superposed background image on the blurred video frame according to the target transparency to serve as the background image.
6. The method of claim 5, wherein the determining the overlay background image corresponding to the current pending video frame comprises:
determining a pixel mean value according to the pixel value of each pixel point in the current video frame to be processed;
and determining a superposition background image corresponding to the current video frame to be processed based on the pixel mean value.
7. The method of claim 1, further comprising:
overlaying a target character model in the foreground image;
acquiring limb action information and/or facial expression of a target object in the current video frame to be processed;
and adjusting the target character model to be matched with the limb actions and/or the facial expressions.
8. The method of claim 1, further comprising:
and updating at least one target keyword on the display interface according to historical audio information of each historical video frame to be processed before the current video frame to be processed.
9. The method of claim 8, further comprising:
when a trigger target keyword is detected, skipping to a historical target special effect video frame corresponding to the target keyword and playing;
the historical target special effect video frame is based on a video frame obtained after the historical video frame to be processed is subjected to special effect processing.
10. The method of claim 1, further comprising:
if the target special effect video frame is generated in a video recording mode, determining character information corresponding to the audio information;
when the target special-effect video is played, displaying the text information in a target area of a playing interface;
and the target area is positioned in a foreground image of each special effect video frame to be processed.
11. The method of claim 10, further comprising:
and adjusting the audio information, the text information and the audio special effect to be displayed at the same frequency.
12. The method of claim 11, further comprising:
and respectively displaying the text information and the audio special effect corresponding to the audio information in the middle and lower areas of the playing interface.
13. An apparatus for determining a special effects video, comprising:
the fuzzy video frame determining module is used for responding to the special effect triggering operation and determining a fuzzy video frame corresponding to the current video frame to be processed; determining an audio special effect consistent with the audio information of the current video frame to be processed;
the special effect video frame generation module is used for taking the fuzzy video frame as a background image of the current special effect video frame and taking the audio special effect as a foreground image of the current special effect video frame;
and the target special effect video generation module is used for obtaining the target special effect video through the splicing processing of the special effect video frames of the video frames to be processed.
14. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device to store one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of determining a special effects video as recited in any of claims 1-12.
15. A storage medium containing computer executable instructions for performing the method of determining a special effects video of any of claims 1-12 when executed by a computer processor.
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CN115082301B (en) * 2022-08-22 2022-12-02 中关村科学城城市大脑股份有限公司 Customized video generation method, device, equipment and computer readable medium
WO2024067157A1 (en) * 2022-09-29 2024-04-04 北京字跳网络技术有限公司 Special-effect video generation method and apparatus, electronic device and storage medium

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