CN110276232A - A kind of data processing method based on social scene, system - Google Patents
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Abstract
This specification embodiment discloses data processing method, system based on social scene, which comprises obtains the expressive features data of the first user and the motion characteristic data of second user；According to preset data processing method, dynamic image is generated based on the expressive features data and the motion characteristic data, to share the dynamic image with designated user.User, which passes through, utilizes acquisition equipment, the expressive features data and motion characteristic data of available different user, further, the stylistic category specified according to user, the expressive features data or motion characteristic data of user are synthesized, so as to the dynamic image after being synthesized.The dynamic image can be applied to social scene by user, shared to one or more specified user or chat group, can effectively be promoted the interest interacted between user, and the experience effect that user uses is improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a data processing method and system based on social scenarios.
Background
With the popularization of social software such as Instant Messaging (IM) software and microblogs, more and more users communicate through the social software so as to meet the social demands of daily work and life of the users.
In the prior art, in order to satisfy the interest of the users in mutual communication, the users can send characters, static/dynamic expressions, sounds and the like. Further, facial expression and actions of the user can be acquired through the image acquisition equipment based on the preset expression types, and the facial expression and actions of the user are converted into expressions of the preset types, for example, the facial expression of the user can be converted into expressions of various types of animal head images. In the prior art, the interaction mode based on the expression is too single.
Based on the prior art, a scheme capable of improving the social experience effect of the user is needed.
Disclosure of Invention
The embodiment of the specification provides a data processing method and system based on a social scene, which are used for solving the following technical problems: a solution that can improve the social experience of the user is needed.
In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:
an embodiment of the present specification provides a data processing method based on a social scene, including:
acquiring expression characteristic data of a first user and action characteristic data of a second user;
and generating a dynamic image based on the expression characteristic data and the action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
Another data processing method based on social scenarios provided in an embodiment of the present specification includes:
acquiring expression characteristic data of a first user;
and generating a dynamic image based on pre-stored action characteristic data and expression characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
Another data processing method based on a social scenario provided in an embodiment of the present specification includes:
acquiring action characteristic data of a second user;
and generating a dynamic image based on pre-stored expression characteristic data and action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
An embodiment of the present specification provides a data processing system based on a social scenario, including:
the acquisition equipment is used for acquiring expression characteristic data of a first user and action characteristic data of a second user;
and the processing equipment generates a dynamic image based on the expression characteristic data and the action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
Another data processing system based on social scenarios provided in an embodiment of the present specification includes:
the first acquisition equipment is used for acquiring expression characteristic data of a first user;
and the first data processing equipment generates a dynamic image based on pre-stored action characteristic data and expression characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
Another data processing system based on social scenarios provided in an embodiment of the present specification includes:
the second acquisition equipment is used for acquiring the action characteristic data of the second user;
and the second data processing equipment generates a dynamic image based on pre-stored expression characteristic data and action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
An electronic device provided in an embodiment of the present specification includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring expression characteristic data of a first user and action characteristic data of a second user;
and generating a dynamic image based on the expression characteristic data and the action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:
the user can acquire expression characteristic data and action characteristic data of different users by utilizing the acquisition equipment, and further, the expression characteristic data or the action characteristic data of the user are synthesized according to the style type specified by the user so as to obtain a synthesized dynamic image. The user can apply the dynamic image to a social scene, and the dynamic image is shared by one or more appointed users or chat groups, so that the interestingness of interaction among the users can be effectively improved, and the experience effect of the user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a schematic diagram of cluster-based social scenario-based data processing according to the solution of the present disclosure in an actual application scenario;
fig. 2 is a schematic flowchart of a data processing method based on a social scenario according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of another data processing method based on social scenarios provided in an embodiment of the present specification;
fig. 4 is a schematic diagram of performing avatar processing based on APP provided in an embodiment of the present specification;
fig. 5 is a schematic flowchart of another data processing method based on social scenarios according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a social context-based data processing system based on group chat according to an embodiment of the present specification;
fig. 7 is a schematic structural diagram of another social context-based data processing system based on group chat provided in an embodiment of the present specification;
fig. 8 is a schematic structural diagram of a social context-based data processing system based on group chat according to an embodiment of the present disclosure.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments of the present disclosure, shall fall within the scope of protection of the present application.
Fig. 1 is a schematic diagram of data processing based on a social scenario involved in a practical application scenario according to the solution of the present disclosure. The practical application scene of the technical scheme of the specification can be realized based on Instant Messaging (IM), in the IM, communication among users is realized only through expressions, and the mode is single, so that the dynamic image with the appointed style type can be generated by first user expression characteristic data acquired through first acquisition equipment and action characteristic data of a second user acquired through second acquisition equipment; of course, the user may provide expression feature data or action feature data, and the server-side device or the local device may provide the action feature data or the expression feature data to further generate the avatar. And sound feature data provided by the user or pre-stored sound feature data can be synthesized with the expression feature data and the action feature data, so that the experience effect of the user can be effectively improved. It should be noted that, in practical application, the expression characteristic data and the action characteristic data can be obtained and synthesized in real time; of course, part of the feature data may also be obtained in real time, for example, the expression feature data or the motion feature data may be obtained in real time, and then synthesized, so as to obtain a real-time synthesized dynamic image.
The dynamic image may be a dynamic virtual image or a dynamic real image. In particular, the avatar may be an image avatar or a video avatar that is rendered based on Augmented Reality (AR), Virtual Reality (VR), holographic imagery, Mixed Reality (MR), or 3D rendering techniques. The content of the animated figure may be a human, an animal, a plant, for example, a child, a puppy, a flower (e.g., a personified flower having a face and limbs); but also non-real world, authored figures, such as cartoon characters, game characters, and the like, that do not exist in reality.
The reality image may be an unrendered image or video image obtained in actual photographing. It is worth noting that the real-world avatar does not typically change the presentation, i.e., the "what you see is what you get", of the object being photographed (typically the user's body or facial expression).
It should be noted that the first or second acquisition device described herein may include: mobile terminal equipment such as mobile phones, smart watches, wearable equipment and notebook computers, or equipment with an image acquisition function such as non-mobile cameras and cameras; may also include: professional equipment for collecting expression or action characteristics of a user. For ease of understanding, the first capturing device is taken as a mobile phone as an example for illustration. The device for displaying the dynamic image can be a display device capable of displaying video animation, such as a mobile phone, a computer, a television, a 3D screen, a holographic image, an MR device, an AR device or a VR device. For ease of understanding, the following description will be given by taking a mobile phone as an example.
An embodiment of the present specification provides a data processing method based on a social context, and as shown in fig. 2, a flow diagram of the data processing method based on the social context provided by the embodiment of the present specification may specifically include:
step S202: and acquiring expression characteristic data of the first user and action characteristic data of the second user.
The sequence of obtaining the expression characteristic data and the action characteristic data is uncertain, and can be determined according to the actual application requirements of the user. Generally, the expression characteristic data and the action characteristic data are acquired in different manners and need to be acquired by different acquisition devices. The acquisition and the collection of the feature data can be completed by different devices, or can be completed by the same device, for example, the operations of collecting the feature data, acquiring the feature data, and processing the feature data in real time can be realized by a mobile phone.
It should be noted that the expression feature data described herein includes: eye motion feature data, mouth feature data, eyebrow feature data, face contour feature data, etc. of the user. After the corresponding expression feature data are obtained, the expression image of the corresponding style can be obtained according to the preset style type. The motion characteristic data can be understood as limb motion characteristic data or gesture motion characteristic data, and can be obtained by utilizing an image acquisition device (such as a mobile phone or a special device) based on limb motion characteristics or gesture motion characteristics; the expression features or the motion features are converted into expression or motion feature data, the expression or motion feature data can be realized by using a preset algorithm, and if necessary, the required features can be acquired by using professional equipment.
Step S204: and generating a dynamic image based on the expression characteristic data and the action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
The data processing instruction may be a data processing instruction issued by a user, or may be generated by a generating device (e.g., a mobile phone) in a preset generating manner according to expression feature data and motion feature data specified by the user.
In practical application, the process of obtaining the expression feature data and the action feature data respectively corresponding to the expression feature data and the action feature data based on the expression feature and the action feature of the user can be performed separately, that is, the required expression feature data is obtained by using a preset machine learning model based on the expression feature of the user, the required action feature data is obtained by using a preset machine learning model based on the action feature of the user, and the expression feature data and the action feature data are further synthesized to obtain a dynamic image. Certainly, in order to simplify the operation, the action features and the expression features of the user can be collected at the same time, and a dynamic image containing the action feature data and the expression feature data at the same time is directly generated. For example, a complete avatar model including a face and limbs may be preset, and after the action features and the expression features of the user are collected, the avatar may be generated based on the trained machine learning model directly based on the action features and the expression features.
After the first user obtains the dynamic image by using the mobile phone, the dynamic image can be sent to one or more appointed users through instant messaging software, and certainly, the dynamic image can also be sent in a chat group. In addition, after the first user obtains the avatar, the first user may also share the avatar in other manners, for example, sharing the avatar through a web page, sharing the avatar through a microblog or a circle of friends.
Based on the above embodiment, it can be understood that the user can obtain the expression feature data and the action feature data of different users by using the collection device, and further, the expression feature data or the action feature data of the user are synthesized according to the style type specified by the user, so as to obtain a synthesized dynamic image. The user can apply the dynamic image to a social scene, and the dynamic image is shared to one or more appointed users or chat groups in real time, so that the interestingness of interaction among the users can be effectively improved, and the experience effect of the user is improved.
In one or more embodiments of the present specification, the expression characteristic data and the motion characteristic data are acquired by: acquiring expression characteristic data of a first user through first acquisition equipment; and acquiring the action characteristic data of the second user through second acquisition equipment.
It should be noted that the first collecting device and the second collecting device may be the same collecting device or different collecting devices. The first user and the second user represent the same user or two different users. Generally, the number of the first users may be one or more, and similarly, the number of the second users may also be one or more, and is not limited herein with respect to the number of users.
For example, the first user and the second user are two different users, respectively, the first user has better performance capability, and the second user has better action performance capability. The first user can acquire expression characteristic data of the first user through the first acquisition equipment, the second user can acquire action characteristic data of the second user through the second acquisition equipment, and the action characteristic data is further combined with the expression characteristic data provided by the first user to obtain a synthesized dynamic image, namely, a dynamic image or video with the first user expression image and the second user action image.
In one or more embodiments of the present specification, after acquiring the expression feature data of the first user and the action feature data of the second user, the method may further include: storing the expression characteristic data and the action characteristic data to a local storage device, or storing the expression characteristic data and the action characteristic data to a server-side storage device; wherein the local storage device comprises: the system comprises a first user end storage device and a second user end storage device.
In practical application, the expression characteristic data and the action characteristic data need to be stored before and after use, and a simpler storage mode is to store the expression characteristic data and the action characteristic data in a local storage device, but if the storage space occupied by the characteristic data is too large, the expression characteristic data and the action characteristic data can also be stored in a server-side storage device, and the server-side storage device can provide a lot of expression characteristic data and action characteristic data for a plurality of users; meanwhile, the users can combine randomly according to the needs of the users to obtain different dynamic images. For example, the original files of the expression feature data and the action feature data are stored in a server-side storage device, and the corresponding compressed data (e.g., thumbnail images) may be stored in a local storage device, so that the user can select the desired data.
In one or more embodiments of the present specification, the generating a dynamic image based on the expression feature data and the action feature data according to a preset data processing manner so as to share the dynamic image with a specified user may specifically include: and the local processing equipment or the server-side processing equipment synthesizes the expression characteristic data and the action characteristic data according to a preset data processing mode to obtain a dynamic image so as to share the dynamic image with a specified user.
If the operation of synthesizing the expression characteristic data and the action characteristic data is simple, the synthesizing operation can be completed by using the mobile phone, and further, the user can send a dynamic image to a designated user or share the dynamic image to a designated chat group through the mobile phone; of course, in order to obtain better synthesis effect and higher synthesis efficiency, the server may be used to synthesize the expression feature data and the motion feature data, and further, the server sends the synthesized avatar to the user side (e.g., mobile phone) that requests synthesis.
In one or more embodiments of the present description, the avatar includes: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
The actual image includes the collected what the user has in the user himself is what he sees are what he gets, and no further processing is needed for the image characteristics. The avatar includes an image processed or fictional avatar, such as a cartoon avatar, based on the collected feature data of the original avatar. The composite avatar may be understood as being based on the actual avatar in combination with the virtual avatar, e.g. as a beautification treatment based on the obtained perceived, i.e. the resulting actual facial expression of the person.
The style image can be cartoon style, ink and wash style, VR or sketch style, etc. For example, the preset style image also comprises a water and ink style background, and the expression and the limb movement of the person are further converted into the water and ink style to form the dynamic image together with the water and ink background.
In one or more embodiments of the present description, the method further includes: and acquiring sound characteristic data through the first acquisition equipment or the second acquisition equipment so as to generate the dynamic image together with the acquired expression characteristic data and the acquired action characteristic data.
It should be noted that the manner of acquiring the sound feature data may be acquired by acquiring the sound of the first user or the sound of the second user, or may be acquired through a network, so as to cooperate with the expression feature data and the motion feature data, thereby increasing interest and improving user experience. The collected sound characteristic data may be acquired by the first collecting device or the second collecting device. The sound may be various types of sound such as voice or music.
Based on the same idea, an embodiment of the present specification further provides another data processing method based on a social context, and as shown in fig. 3, a flow diagram of the another data processing method based on a social context provided by the embodiment of the present specification is shown, and the specific steps include:
step S302: the method includes acquiring expression feature data of a first user.
It should be noted that, in this embodiment, the expression characteristic data may be acquired in real time by an acquisition device, and the action characteristic data may be acquired directly from a local device or a server-side device without being acquired by a user. The method is favorable for simplifying the operation steps of synthesizing the dynamic image by the user. As to the meaning of the expression feature data and the motion feature data, the explanation has been made in the above embodiments, and the above embodiments may be specifically referred to.
Step S304: and generating a dynamic image based on pre-stored action characteristic data and expression characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
In this embodiment, the operation characteristic data is obtained in advance, and includes: the action characteristic data is pre-stored in local equipment or server-side equipment, which is pre-recorded by a user or acquired through a network, and can be acquired at any time when the user needs.
In one or more embodiments of the present specification, the manner of acquiring the expression feature data may include: and acquiring expression characteristic data of the first user through first acquisition equipment.
For example, a first user acquires facial expression features of the first user by using a mobile phone to obtain a video segment containing the facial expression features of the first user, and further, expression feature data of the first user can be extracted by using a pre-trained machine learning model based on the video segment.
Supposing that, as shown in fig. 4, which is a schematic diagram for performing dynamic image processing based on an APP provided in an embodiment of the present specification, a user provides a preset expression package or action package in the APP based on a social APP, and also provides a recording control; if the user wants to make the dynamic image, the user can click the recording control to record the expression characteristic data of the user, then the user clicks the action control in the dynamic image control, and the user can select the required action label to obtain the synthesized dynamic image. The expressions or actions included in the expression package or action package may be pictures (for example, in GIF, JPG, or other formats), or may be videos (for example, in MP4, AVI, or other formats).
In one or more embodiments of the present description, the expression feature data is stored in a local device, or in a server-side device.
As a simple storage manner, the acquired expression feature data can be stored in the local device. If the storage space occupied by the expression characteristic data is too large, the expression characteristic data needs to be stored in the server-side equipment, so that the storage pressure of the local equipment can be reduced; meanwhile, the method is also beneficial to realizing the sharing of the expression characteristic data based on the server-side equipment, and other users can obtain the required expression characteristic data from the server according to the requirements of the users.
In one or more embodiments of the present specification, the generating a dynamic image based on the expression feature data and the action feature data according to a preset data processing manner so as to share the dynamic image with a specified user may specifically include: and the local equipment or the server-side equipment synthesizes the expression characteristic data and the action characteristic data according to a preset data processing mode to obtain a dynamic image so as to share the dynamic image with a specified user.
If the operation of synthesizing the expression characteristic data and the action characteristic data is relatively simple, the synthesis can be completed by using a mobile phone, and further, the user can send a dynamic image to a designated user or share the dynamic image to a designated chat group through the mobile phone; of course, in order to obtain better synthesis effect and higher synthesis efficiency, the server may be used to synthesize the expression feature data and the motion feature data, and further, the server sends the synthesized avatar to the user side (e.g., mobile phone) that requests synthesis.
In one or more embodiments of the present description, the avatar includes: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
The actual image is not required to be further processed based on the image characteristics, and the user's own visible image acquired by the designated acquisition equipment is acquired. The avatar includes an image processed or fictional avatar, such as a cartoon avatar, based on the collected feature data of the original avatar. The composite character may be understood as being based on the combination of the actual character with the virtual character, for example, by beautifying the facial expression of the character based on the obtained actual expression of the character.
The style image can be cartoon style, ink and wash style, VR or sketch style, etc. For example, the preset style image also comprises a water and ink style background, and the expression and the limb movement of the person are further converted into the water and ink style to form the dynamic image together with the water and ink background.
In one or more embodiments of the present description, the method further includes: and acquiring sound characteristic data through the first acquisition equipment so as to generate the dynamic image together with the acquired expression characteristic data and the acquired action characteristic data.
This sound characteristic data can utilize first collection equipment to obtain based on first user or other users, also can obtain through the network to cooperation expression characteristic data and action characteristic data increase interest, promote user experience effect. The sound feature data may be various types of sounds such as voice and music.
Based on the same idea, an embodiment of the present specification further provides another data processing method based on a social context, and as shown in fig. 5, a flow diagram of the another data processing method based on the social context provided by the embodiment of the present specification is shown, and the specific steps include:
step S502: and acquiring action characteristic data of the second user.
It should be noted that, in this embodiment, the action characteristic data may be acquired in real time by the acquisition device, and the expression characteristic data may be acquired directly from the local device or the server-side device without being acquired by the user. The method is favorable for simplifying the operation steps of synthesizing the dynamic image by the user. As to the meaning of the expression feature data and the motion feature data, the explanation has been made in the above embodiments, and the above embodiments may be specifically referred to.
The motion characteristic data can be understood as limb motion characteristic data or gesture motion characteristic data, and can be obtained by utilizing an image acquisition device (such as a mobile phone or a special device) based on limb motion characteristics or gesture motion characteristics; the motion characteristics are converted into motion characteristic data, which can be realized by using a preset algorithm, and if necessary, the required characteristics can be acquired by using professional equipment.
Step S504: and generating a dynamic image based on pre-stored expression characteristic data and action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
It should be noted that, in this embodiment, the expression feature data is obtained in advance, and includes: the expression feature data is pre-stored in local equipment or server-side equipment, which is pre-recorded by a user or acquired through a network, and can be acquired at any time when the user needs the expression feature data.
In one or more embodiments of the present specification, the manner of acquiring the motion characteristic data includes: and acquiring the action characteristic data of the second user through second acquisition equipment.
For example, the second user acquires the motion characteristics of the second user by using a mobile phone to obtain a section of video including the motion characteristics of the limbs of the second user, and further, motion characteristic data of the second user can be extracted and obtained by using a pre-trained machine learning model based on the video.
In one or more embodiments of the present description, the action characteristic data is stored in a local device or a server-side device.
As a simple storage manner, the acquired expression feature data can be stored in the local device. If the storage space occupied by the expression characteristic data is too large, the expression characteristic data needs to be stored in the server-side equipment, so that the storage pressure of the local equipment can be reduced; meanwhile, the method is also beneficial to realizing the sharing of the expression characteristic data based on the server-side equipment, and other users can obtain the required expression characteristic data from the server according to the requirements of the users.
In one or more embodiments of the present specification, the generating a dynamic image based on the expression feature data and the action feature data according to a preset data processing manner so as to share the dynamic image with a specified user may specifically include: and the local equipment or the server-side equipment synthesizes the expression characteristic data and the action characteristic data according to a preset data processing mode to obtain a dynamic image so as to share the dynamic image with a specified user.
If the operation of synthesizing the expression characteristic data and the action characteristic data is relatively simple, the synthesis can be completed by using a mobile phone, and further, the user can send a dynamic image to a designated user or share the dynamic image to a designated chat group through the mobile phone; of course, in order to obtain better synthesis effect and higher synthesis efficiency, the server may be used to synthesize the expression feature data and the motion feature data, and further, the server sends the synthesized avatar to the user side (e.g., mobile phone) that requests synthesis.
In one or more embodiments of the present description, the avatar includes: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
The actual image is not required to be further processed based on the image characteristics, and the user's own visible image acquired by the designated acquisition equipment is acquired. The avatar includes an image processed or fictional avatar, such as a cartoon avatar, based on the collected feature data of the original avatar. The composite character may be understood as being based on the combination of the actual character with the virtual character, for example, by beautifying the facial expression of the character based on the obtained actual expression of the character.
The style image can be cartoon style, ink and wash style, VR or sketch style, etc. For example, the preset style image also comprises a water and ink style background, and the expression and the limb movement of the person are further converted into the water and ink style to form the dynamic image together with the water and ink background.
In one or more embodiments of the present description, the method further includes: and acquiring sound characteristic data through the second acquisition equipment so as to generate the dynamic image together with the acquired expression characteristic data and the acquired action characteristic data.
This sound characteristic data can utilize first collection equipment to obtain based on first user or other users, also can obtain through the network to cooperation expression characteristic data and action characteristic data increase interest, promote user experience effect. The sound feature data may be various types of sounds such as voice and music.
Based on the same idea, an embodiment of the present specification further provides a data processing system based on a social context, and as shown in fig. 6, a schematic structural diagram of the data processing system based on a social context and based on a group chat provided by the embodiment of the present specification specifically includes:
the acquisition device 610 is used for acquiring expression characteristic data of a first user and action characteristic data of a second user;
and the processing device 620 generates a dynamic image based on the expression characteristic data and the action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
After the expression characteristic data and the action characteristic data are acquired by the acquisition device 610, the expression characteristic data and the action characteristic data are sent to the processing device 620, and a dynamic image is generated by the processing device 620 based on a preset data processing mode.
It should be noted that the acquisition device 610 and the processing device 620 may be the same device, for example, both may be a mobile phone of a user.
Further, the acquisition device 610 includes: a first acquisition device 611 and a second acquisition device 612;
the first collecting device 611 is configured to collect expression feature data of a first user, and the second collecting device is configured to collect action feature data of a second user.
Further, still include: a storage device 630 for storing the expression feature data and the motion feature data; wherein the storage device 630 comprises: local storage 631, server-side storage 632.
Further, the processing device 620 includes: local processing device 621 and server-side processing device 622;
the local processing device 621 or the server-side processing device 622 synthesizes the expression feature data and the action feature data according to a preset data processing mode to obtain a dynamic image, so as to share the dynamic image with a designated user.
Further, the avatar includes: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
Further, the capturing device 610 further includes a device for capturing sound feature data so as to generate the avatar together with the obtained expression feature data and the motion feature data.
Based on the same idea, an embodiment of the present specification further provides another data processing system based on a social scenario, and as shown in fig. 7, a schematic structural diagram of the another data processing system based on a social scenario and based on a group chat provided by the embodiment of the present specification specifically includes:
a first obtaining device 710 that obtains expressive feature data of a first user;
the first data processing device 720 generates a avatar based on pre-stored motion feature data and the expression feature data according to a preset data processing manner so as to share the avatar with a designated user.
Further, still include: a first acquisition device 611;
the first user's expressive feature data is collected by the first collection device 611. It should be noted that the first acquiring device 710 and the first collecting device 611 may be the same device or may be different devices.
Further, still include: a first storage device 730; wherein the first storage device 730 includes: at least one of the first local device 731, the first server-side device 732; the expression feature data is stored to the first local device 731 or alternatively, to the first server-side device 732.
Further, the first data processing apparatus 720 includes: at least one of the first local data processing apparatus 721, the first server-side data processing apparatus 722;
the first local data processing device 721 or the first server-side data processing device 722 synthesizes the expression feature data and the action feature data according to a preset data processing mode to obtain a dynamic image, so as to share the dynamic image with a specified user.
Further, the avatar includes: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
Further, still include: and acquiring sound characteristic data through the first acquisition equipment so as to generate the dynamic image together with the acquired expression characteristic data and the acquired action characteristic data.
Based on the same idea, an embodiment of the present specification further provides another data processing system based on a social context, and as shown in fig. 8, a schematic structural diagram of the another data processing system based on a social context and based on a group chat provided by the embodiment of the present specification specifically includes:
a second obtaining device 810 that obtains action feature data of a second user;
and a second data processing device 820 generating an avatar based on pre-stored expression feature data and the motion feature data according to a preset data processing manner so as to share the avatar with a designated user.
Further, still include: a second acquisition device 612;
the motion characteristic data of the second user is collected by the second collecting device 612.
Further, still include: a second storage device 830; wherein the second storage device 830 includes: a second local storage 831 or a second server-side storage 832; the action characteristic data is stored to the second local storage 831 or, alternatively, to the second server-side storage 832.
Further, the second data processing apparatus 820 includes: at least one of second local data processing device 821, second server-side data processing device 822;
the second local data processing device 821 or the second server-side data processing device 822 synthesizes the expression characteristic data and the action characteristic data according to a preset data processing mode to obtain a dynamic image, so as to share the dynamic image with a designated user.
Further, the avatar includes: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
Further, still include: sound feature data is acquired by the second acquisition device 612 so as to generate the avatar together with the acquired expression feature data and the motion feature data.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the electronic device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and the relevant points can be referred to the partial description of the embodiments of the method.
The apparatus, the electronic device, the nonvolatile computer storage medium and the method provided in the embodiments of the present description correspond to each other, and therefore, the apparatus, the electronic device, and the nonvolatile computer storage medium also have similar advantageous technical effects to the corresponding method.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardsradware (Hardware Description Language), vhjhd (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the various elements may be implemented in the same one or more software and/or hardware implementations in implementing one or more embodiments of the present description.
As will be appreciated by one skilled in the art, the present specification embodiments may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present specification, and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (36)
1. A data processing method based on social scenes comprises the following steps:
acquiring expression characteristic data of a first user and action characteristic data of a second user;
and generating a dynamic image based on the expression characteristic data and the action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
2. The method of claim 1, wherein the expression characteristic data and the action characteristic data are collected in a manner that:
acquiring expression characteristic data of a first user through first acquisition equipment; and acquiring the action characteristic data of the second user through second acquisition equipment.
3. The method of claim 1, after obtaining the first user's expressive feature data and the second user's action feature data, further comprising:
storing the expression characteristic data and the action characteristic data to a local storage device, or storing the expression characteristic data and the action characteristic data to a server-side storage device; wherein the local storage device comprises: the system comprises a first user end storage device and a second user end storage device.
4. The method according to claim 1, wherein the generating of the avatar based on the expression feature data and the action feature data according to a preset data processing manner so as to share the avatar with the specified user specifically comprises:
and the local processing equipment or the server-side processing equipment synthesizes the expression characteristic data and the action characteristic data according to a preset data processing mode to obtain a dynamic image so as to share the dynamic image with a specified user.
5. The method of claim 1, the avatar comprising: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
6. The method of claim 1, further comprising: and acquiring sound characteristic data through the first acquisition equipment or the second acquisition equipment so as to generate the dynamic image together with the acquired expression characteristic data and the acquired action characteristic data.
7. A data processing method based on social scenes comprises the following steps:
acquiring expression characteristic data of a first user;
and generating a dynamic image based on pre-stored action characteristic data and expression characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
8. The method of claim 7, wherein the expression feature data is collected in a manner comprising: and acquiring expression characteristic data of the first user through first acquisition equipment.
9. The method of claim 7, wherein the expressive feature data is stored to a first local storage device or to a first server-side storage device.
10. The method according to claim 7, wherein the generating of the avatar based on the expression feature data and the action feature data according to a preset data processing manner so as to share the avatar with the specified user specifically comprises:
and the first local data processing equipment or the first server-side data processing equipment synthesizes the expression characteristic data and the action characteristic data according to a preset data processing mode to obtain a dynamic image so as to share the dynamic image with a specified user.
11. The method of claim 7, the avatar comprising: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
12. The method of claim 7, further comprising: and acquiring sound characteristic data through the first acquisition equipment so as to generate the dynamic image together with the acquired expression characteristic data and the acquired action characteristic data.
13. A data processing method based on social scenes comprises the following steps:
acquiring action characteristic data of a second user;
and generating a dynamic image based on pre-stored expression characteristic data and action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
14. The method of claim 13, wherein the manner of collecting the motion characteristic data comprises: and acquiring the action characteristic data of the second user through second acquisition equipment.
15. The method of claim 13, wherein the action profile data is stored to a second local storage device or to a second server-side storage device.
16. The method according to claim 13, wherein the generating of the avatar based on the expression feature data and the action feature data according to a preset data processing manner so as to share the avatar with the specified user specifically comprises:
and the second local data processing equipment or the second server-side data processing equipment synthesizes the expression characteristic data and the action characteristic data according to a preset data processing mode to obtain a dynamic image so as to share the dynamic image with a specified user.
17. The method of claim 13, the avatar comprising: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
18. The method of claim 13, further comprising: and acquiring sound characteristic data through the second acquisition equipment so as to generate the dynamic image together with the acquired expression characteristic data and the acquired action characteristic data.
19. A social scenario-based data processing system, comprising:
the acquisition equipment is used for acquiring expression characteristic data of a first user and action characteristic data of a second user;
and the processing equipment generates a dynamic image based on the expression characteristic data and the action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
20. The system of claim 19, the acquisition device comprising: a first acquisition device and a second acquisition device;
the first acquisition equipment is used for acquiring expression characteristic data of a first user, and the second acquisition equipment is used for acquiring action characteristic data of a second user.
21. The system of claim 19, further comprising: the storage equipment is used for storing the expression characteristic data and the action characteristic data;
wherein the storage device comprises: local storage equipment and server-side storage equipment.
22. The system of claim 19, the processing device comprising: the local processing equipment and the server-end processing equipment;
and the local processing equipment or the server-side processing equipment synthesizes the expression characteristic data and the action characteristic data according to a preset data processing mode to obtain a dynamic image so as to share the dynamic image with a specified user.
23. The system of claim 19, the avatar comprising: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
24. The system of claim 19, wherein the capturing device further comprises a device for capturing sound feature data to generate the avatar with the captured expression feature data and the motion feature data.
25. A social scenario-based data processing system, comprising:
the first acquisition equipment is used for acquiring expression characteristic data of a first user;
and the first data processing equipment generates a dynamic image based on pre-stored action characteristic data and expression characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
26. The system of claim 25, further comprising: a first acquisition device;
and acquiring expression characteristic data of the first user through first acquisition equipment.
27. The system of claim 25, further comprising: a first storage device; wherein the first storage device comprises: a first local storage device or a first server-side storage device; and the expression characteristic data is stored in the first local storage device or the first server-side storage device.
28. The system of claim 25, the first data processing device, comprising: at least one of a first local data processing device and a first server-side data processing device;
and the first local data processing equipment or the first server-side data processing equipment synthesizes the expression characteristic data and the action characteristic data according to a preset data processing mode to obtain a dynamic image so as to share the dynamic image with a specified user.
29. The system of claim 25, the avatar comprising: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
30. The system of claim 25, further comprising: and acquiring sound characteristic data through the first acquisition equipment so as to generate the dynamic image together with the acquired expression characteristic data and the acquired action characteristic data.
31. A social scenario-based data processing system, comprising:
the second acquisition equipment is used for acquiring the action characteristic data of the second user;
and the second data processing equipment generates a dynamic image based on pre-stored expression characteristic data and action characteristic data according to a preset data processing mode so as to share the dynamic image with a specified user.
32. The system of claim 31, further comprising: a second acquisition device;
and acquiring the action characteristic data of the second user through second acquisition equipment.
33. The system of claim 31, further comprising: a second storage device; wherein the second storage device comprises: a second local storage device or a second server-side storage device; and storing the action characteristic data into a second local storage device or a second server-side storage device.
34. The system of claim 31, the second data processing device comprising: at least one of a second local data processing device and a second server-side data processing device;
and the second local data processing equipment or the second server-side data processing equipment synthesizes the expression characteristic data and the action characteristic data according to a preset data processing mode to obtain a dynamic image so as to share the dynamic image with a specified user.
35. The system of claim 31, the avatar comprising: at least one of an actual image, an avatar, and a combination of the actual image and the avatar; the dynamic image corresponds to a plurality of style images.
36. The system of claim 31, further comprising: and acquiring sound characteristic data through the second acquisition equipment so as to generate the dynamic image together with the acquired expression characteristic data and the acquired action characteristic data.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115150555A (en) * | 2022-07-15 | 2022-10-04 | 北京字跳网络技术有限公司 | Video recording method, device, equipment and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1672178A (en) * | 2002-07-31 | 2005-09-21 | 引程私人有限公司 | Motion picture communication |
| CN104079468A (en) * | 2013-03-25 | 2014-10-01 | 腾讯科技（深圳）有限公司 | Animation transmission method and system |
| US20160307028A1 (en) * | 2015-04-16 | 2016-10-20 | Mikhail Fedorov | Storing, Capturing, Updating and Displaying Life-Like Models of People, Places And Objects |
| CN106713811A (en) * | 2015-11-17 | 2017-05-24 | 腾讯科技（深圳）有限公司 | Video communication method and device |
| CN107465885A (en) * | 2016-06-06 | 2017-12-12 | 中兴通讯股份有限公司 | A kind of method and apparatus for realizing video communication |
| WO2018031146A1 (en) * | 2016-08-11 | 2018-02-15 | Jibjab Media Inc. | Combining user images and computer-generated illustrations to produce personalized animated digital avatars |
-
2018
- 2018-03-16 CN CN201810220928.9A patent/CN110276232A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1672178A (en) * | 2002-07-31 | 2005-09-21 | 引程私人有限公司 | Motion picture communication |
| CN104079468A (en) * | 2013-03-25 | 2014-10-01 | 腾讯科技（深圳）有限公司 | Animation transmission method and system |
| US20160307028A1 (en) * | 2015-04-16 | 2016-10-20 | Mikhail Fedorov | Storing, Capturing, Updating and Displaying Life-Like Models of People, Places And Objects |
| CN106713811A (en) * | 2015-11-17 | 2017-05-24 | 腾讯科技（深圳）有限公司 | Video communication method and device |
| CN107465885A (en) * | 2016-06-06 | 2017-12-12 | 中兴通讯股份有限公司 | A kind of method and apparatus for realizing video communication |
| WO2018031146A1 (en) * | 2016-08-11 | 2018-02-15 | Jibjab Media Inc. | Combining user images and computer-generated illustrations to produce personalized animated digital avatars |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115150555A (en) * | 2022-07-15 | 2022-10-04 | 北京字跳网络技术有限公司 | Video recording method, device, equipment and medium |
| CN115150555B (en) * | 2022-07-15 | 2023-12-19 | 北京字跳网络技术有限公司 | Video recording method, device, equipment and medium |
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