CN115022654B - Video editing method and device in live broadcast scene - Google Patents
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
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- H04N21/2187—Live feed
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- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
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- H04N21/4756—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
Abstract
The disclosure provides a video editing method and device in a live scene and electronic equipment, and relates to the field of video popularization. The method comprises the following specific steps: recording a live video stream and generating a video to be scored in response to the anchor client being in a live state; pushing the video to be scored to at least one audience client, and receiving feedback data of the audience client; generating comprehensive scores of the videos to be scored according to the feedback data; and determining recommended videos according to the comprehensive score and the videos to be scored. The video capturing method has the advantages that the video capturing method enables audience to score video content, recommends the video according to comprehensive scores of the video, avoids the situation that the audience can not release the video with the highlight in real time when live broadcast is performed by the host, enables the audience to participate in video judgment, increases interaction of the audience, improves watching duration of users, provides reference standards for screening video content by the host, can release favorite videos of the users more accurately, and improves watching experience of the users.
Description
Technical Field
The disclosure relates to the field of video popularization, and in particular relates to a video editing method and device under a live broadcast scene and electronic equipment.
Background
In the related art, when a game host plays a live broadcast, a live broadcast platform can generate video clips at a game highlight moment through content identification, so that the host can be used as a material for issuing game videos. When the video clips are too many, the anchor spends a great deal of effort to carry out operations such as screening, editing, publishing and the like, and the video processing efficiency is low.
Disclosure of Invention
The present disclosure provides a method, apparatus and system for video editing in live scenes, so as to solve at least one of the problems in the related art. The technical scheme of the present disclosure is as follows:
according to a first aspect of an embodiment of the present disclosure, there is provided a video editing method in a live scene, including:
recording a live video stream and generating a video to be scored in response to the anchor client being in a live state;
pushing the video to be scored to at least one audience client, and receiving feedback data of the audience client;
generating comprehensive scores of the videos to be scored according to the feedback data;
and determining recommended videos according to the comprehensive score and the videos to be scored. Alternatively to this, the method may comprise,
the step of recording the live video stream and generating the video to be scored specifically comprises the following steps:
segmenting the live video stream to generate a video segment;
extracting a video to be edited according to the video clip;
and splicing the video to be edited, adding background music and background pictures, and generating the video to be scored.
Optionally, the feedback data specifically includes:
scoring data by the viewer client;
audience client comment data;
the viewer client point approves the data.
Optionally, the step of generating the composite score of the video to be scored according to the feedback data specifically includes:
generating a first audience score from the audience client scoring data;
generating a second audience score according to the audience client comment data;
generating a third audience score based on the audience client point approval data amount;
optionally, the step of generating the composite score of the video to be scored according to the feedback data specifically includes:
generating a first audience score from the audience client scoring data;
generating a second audience score according to the audience client comment data;
generating a third audience score based on the audience client point approval data amount;
the composite score is generated from the first audience score, the second audience score, and the third audience score.
Optionally, the step of generating the second audience score according to the audience client comment data specifically includes:
inputting the comment data of the audience client into a scoring model to generate corresponding comment scores;
a second audience score is obtained based on the scoring and the audience client weights.
Optionally, the step of generating a third audience score according to the audience client point approval data amount specifically includes:
the third audience score is generated based on a ratio of the amount of audience client approval data to the total amount of audience clients.
Optionally, the step of determining the recommended video according to the composite score and the video to be scored specifically includes:
if the comprehensive score is greater than or equal to a preset comprehensive score threshold, determining that the video to be scored is the recommended video;
and if the comprehensive score is smaller than a preset comprehensive score threshold, determining that the video to be scored is not the recommended video.
Optionally, after the step of determining the recommended video according to the composite score and the video to be scored, the method further includes:
and publishing the recommended video at the anchor client.
According to a second aspect of embodiments of the present disclosure, there is provided a video editing apparatus in a live scene, including;
the video editing module is used for responding to the live state of the anchor client, recording live video streams and generating videos to be scored;
the video pushing module is used for pushing the video to be scored to at least one audience client and receiving feedback data of the audience client;
the scoring module is used for generating comprehensive scores of the videos to be scored according to the feedback data;
and the recommended video determining module is used for determining recommended videos according to the comprehensive score and the videos to be scored.
Optionally, the video editing module specifically includes:
a segmentation sub-module for segmenting the live video stream to generate a video segment;
the extraction submodule is used for extracting the video to be edited according to the video clip;
and the splicing sub-module is used for splicing the video to be edited, adding background music and background pictures and generating the video to be scored.
Optionally, the feedback data specifically includes:
scoring data by the viewer client;
audience client comment data;
the viewer client point approves the data.
Optionally, the scoring module specifically includes:
the first scoring sub-module is used for generating a first audience score according to the audience client scoring data;
the second scoring sub-module is used for generating a second audience score according to the audience client comment data;
a third scoring sub-module for generating a third audience score according to the audience client point approval data amount;
and the comprehensive scoring module is used for generating the comprehensive score according to the first audience score, the second audience score and the third audience score.
Optionally, the second scoring submodule specifically includes:
the first scoring unit is used for inputting the comment data of the audience client into a scoring model to generate corresponding comment scores;
and the second scoring unit is used for acquiring a second audience score according to the score and the audience client weight.
Optionally, the third scoring submodule specifically includes:
and the third scoring unit is used for generating the third audience score according to the ratio of the number of the audience client points to the total number of the audience clients.
Optionally, the recommended video determining module specifically includes:
the first determining submodule determines that the video to be scored is the recommended video if the comprehensive score is greater than or equal to a preset comprehensive score threshold;
and the second determining submodule determines that the video to be scored is not the recommended video if the comprehensive score is smaller than a preset comprehensive score threshold.
Optionally, the apparatus further includes:
and the release module is used for releasing the recommended video at the anchor client.
According to a third aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of any of the first aspects above.
According to a fourth aspect of embodiments of the present disclosure, there is provided a computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the method of any one of the first aspects described above.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements a method as in any of the first aspects described above.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
the video capturing method has the advantages that the audience is used for scoring the video content, recommending the video according to the comprehensive score of the video, the situation that the video capturing method cannot release the video with the highlight in real time due to live broadcasting of the host is avoided, the audience participates in the judgment of the video, the interactivity of the audience is improved, the watching duration of the user is prolonged, the reference standard can be provided for screening the video content of the host, the favorite video of the user can be released more accurately, and the watching experience of the user is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
Fig. 1 is a flowchart illustrating a video editing method in a live scene according to an exemplary embodiment.
Fig. 2 is a flowchart illustrating a video editing method in a live scene according to an exemplary embodiment.
Fig. 3 is a flowchart illustrating a video editing method in a live scene according to an exemplary embodiment.
Fig. 4 is a flowchart illustrating a video editing method in a live scene according to an exemplary embodiment.
Fig. 5 is a block diagram illustrating a video editing apparatus in a live scene according to an exemplary embodiment.
Fig. 6 is a flowchart illustrating a video editing method in a live scene according to an exemplary embodiment.
Fig. 7 is a block diagram illustrating a video editing apparatus 700 in a live scene, according to an exemplary embodiment.
Fig. 8 is a block diagram illustrating a video editing apparatus 800 in a live scene, according to an exemplary embodiment.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the disclosure as detailed in the accompanying claims.
In the related art, a game player generates some highlight operation video clips, which are good materials for distributing short videos, when playing a live operation game. At present, a live broadcast platform on the market can generate some wonderful original video clips through content identification, push the video clips to a host broadcast in the host broadcast, or display the video clips to the host broadcast in a list form after the live broadcast is finished, so that the host broadcast can select and release the video clips.
However, the anchor concentrates on the live effect during live broadcast, and cannot edit and release the highlight in time. And after the live broadcast is finished, the highlight video clips are too many and are not processed video clips, and the anchor spends a great deal of effort in screening, editing, publishing and other operations.
The following describes a video editing method, a device and an electronic device in a live scene according to an embodiment of the disclosure with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating a method for editing video in a live scene according to an exemplary embodiment, and as shown in fig. 1, in live video for a method for editing video in a live scene, the method includes the following steps:
in step 101, in response to the anchor client being in a live state, a live video stream is recorded and a video to be scored is generated.
In this embodiment, when the anchor client is in a live state, a live video stream is recorded, a video segment corresponding to a highlight operation in the live video stream is identified through a machine identification technology, and then appropriate background music, a background picture and an atmosphere effect meeting a video scene are added to the video segment, so that a video to be scored is generated. The background music and the background picture can select the recently popular music and picture to increase the exposure. In step 102, the video to be scored is pushed to at least one viewer client, and feedback data of the viewer client is received.
In this embodiment, the video to be scored is pushed to the live broadcast room of the audience client through the server, and after the user receives the push, the video can be played in a small window form, wherein the operations that the user can perform at the audience client include: comment is carried out on the video to be scored, praise is carried out on the video to be scored, and scoring is carried out on the video to be scored.
Optionally, the feedback data specifically includes:
scoring data by the viewer client;
audience client comment data;
the viewer client point approves the data. In step 103, a composite score of the video to be scored is generated according to the feedback data.
In the embodiment of the present application, the feedback data is identified, and the video to be scored is comprehensively scored according to the feedback data. The comment data cannot be directly quantized, and in order to obtain the scores corresponding to the comment data of the audience client, a scoring model is trained in advance, wherein the scoring model is a neural network and is used for obtaining the scores corresponding to the comments. In one possible embodiment, the number of keywords such as "operation is very severe", "focus is on the anchor", "666" and the like in the comment content of the client of the audience is identified, and the comprehensive score of the video to be scored is given according to the number of praise of the user and the score of the video by the user.
In step 104, in the embodiment of the application for recommending videos according to the composite score and the video to be scored, the composite score reflects the approval degree of the user of the audience client to the video to be scored, and the higher the score is, the more approved the user watching the video to be scored on the audience client is, the higher the composite score is, the more users can be identified as recommending videos and pushed to the video to be scored, and more audience clients are attracted to enter a live broadcast room of the anchor client to watch live broadcast, so that the anchor popularity is improved.
Optionally, the step of determining the recommended video according to the composite score and the video to be scored specifically includes:
if the comprehensive score is greater than or equal to a preset comprehensive score threshold, determining that the video to be scored is the recommended video;
and if the comprehensive score is smaller than a preset comprehensive score threshold, determining that the video to be scored is not the recommended video. In this embodiment, whether the video to be scored is a recommended video is determined according to a comprehensive scoring threshold set by the anchor client.
In a possible embodiment, the anchor sets the composite score threshold to 80 points, and the composite score of the video to be recommended is 60 points, so that the video to be scored is not the recommended video.
In a possible embodiment, the anchor sets the composite score threshold to 80 points, and the composite score of the video to be recommended is 90 points, and the content to be scored is the recommended video.
According to the video content recommendation method and device, the video content scoring by the audience is achieved through machine identification and capturing of the video of the mastering operation, the video is recommended according to comprehensive scores of the video, the situation that the mastering live broadcast cannot release the video of the mastering operation in real time is avoided, the audience participates in the judgment of the video, the interactivity of the audience is improved, the watching duration of the user is prolonged, reference standards can be provided for screening video content by the host, and the workload of screening, editing and video release by the host is reduced.
Fig. 2 is a flowchart illustrating a video editing method in a live scene according to an exemplary embodiment, where, as shown in fig. 2, the video editing method in a live scene is used in a live video, step 101 further includes the following steps:
step 201, segmenting the live video stream to generate video segments;
in the embodiment of the present application, for convenience of clipping, the live video stream is split into a plurality of video clips.
Step 202, extracting a video to be edited according to the video clip;
in the embodiment of the application, whether the highlight operation exists in the video segment is identified through a pre-trained neural network model.
In one possible embodiment, the neural network model identifies text in the video segment for text recognition and determines whether text exists therein for prompting a highlight operation. If the text used for prompting the highlight operation appears, the video clip can be utilized for video editing, and the video clip is determined to be the video to be edited.
In another possible embodiment, the neural network model identifies content on a scoreboard in the video clip, where the scoreboard content includes a change in determining game content, such as a change in score, click-through, occupation, etc., that is important in the game, and when the change occurs, which indicates that the game enters a more wonderful stage, the video clip may be used to perform video editing, and the video clip is determined to be a video to be edited.
And 203, splicing the videos to be edited, adding background music and background pictures, and generating the videos to be scored.
In this embodiment, during live broadcasting, a host identifies the video original stage of some host highlight operations through a machine identification technology, extracts a video to be edited according to video content, and generates a video content with a very good atmosphere by adding appropriate background music, background pictures and atmosphere effects meeting video scenes, wherein the background music and the background pictures can select recently popular music and pictures to increase exposure.
According to the embodiment of the application, the background music and the background picture are added to the video content, so that the video content is perfected, and the audience can watch and expose the video.
Fig. 3 is a flowchart illustrating a method for editing video in a live scene according to an exemplary embodiment, and as shown in fig. 2, in a live video for the method for editing video in a live scene, step 103 further includes the following steps:
step 301, generating a first audience score according to the audience client scoring data;
in one possible embodiment, an average of the audience client scoring data is calculated to generate the first audience score.
In another possible embodiment, the viewer client is weighted according to the total viewing time and rating of the viewer client, and the viewer client scoring data is weighted averaged according to the weights to generate the first viewer score. The longer the total viewing duration, the higher the audience client level, and the higher the credibility of the scoring data of the corresponding audience client, and the acquired first audience score can better reflect the popularity of the video to be scored in the audience client.
Step 302, generating a second audience score according to the audience client comment data;
and 303, generating a third audience score according to the audience client point approval data quantity.
Optionally, the step of generating a third audience score according to the audience client point approval data amount specifically includes:
the third audience score is generated based on a ratio of the amount of audience client approval data to the total amount of audience clients.
Step 304, generating the composite score according to the first audience score, the second audience score, and the third audience score.
In this embodiment, the corresponding audience score is obtained according to different weights of the user scoring data, the user comment data, and the user approval data amount.
In one possible embodiment, the first, second and third audience scores are weighted 0.6, 0.3, 0.1, respectively.
And according to different weights, obtaining a first audience score corresponding to the scoring data of the audience client, a second audience score corresponding to the comment data of the audience client and a third audience score corresponding to the approval data amount of the audience client, and multiplying the first audience score, the second audience score and the third audience score by the corresponding weights respectively and then adding the multiplied first audience score, the multiplied second audience score and the multiplied third audience score to obtain the comprehensive score.
According to the video scoring method and device, the appropriate comprehensive score of the video to be scored can be obtained through different weights of the scoring data of the audience client, the comment data of the audience client and the approval data quantity of the audience client.
Optionally, after the step of determining the recommended video according to the composite score and the video to be scored, the method further includes:
and publishing the recommended video at the anchor client.
Fig. 4 is a flowchart illustrating a method for editing video in a live scene according to an exemplary embodiment, and as shown in fig. 4, in a live video for a method for editing video in a live scene, step 302 further includes the following steps:
step 401, inputting comment data of the audience client into a scoring model to generate a corresponding comment score;
in the embodiment of the disclosure, the user comment data may reflect the approval degree of the user to the video to be scored, the comment data cannot be directly quantized, and in order to obtain the score corresponding to the comment data of the client of the audience, the useful data in the user comment data need to be extracted according to a pre-trained scoring model, wherein the scoring model is a neural network and is used for obtaining the score corresponding to the comment.
In one possible embodiment, the scoring model is used to identify words such as 666, very beautiful, severe, etc. in the user comment data, where the words are positive scores, a certain comment score is given to each positive score, and comment scores corresponding to all positive scores in the video to be scored are added to generate corresponding comment scores.
And step 402, generating the second audience score according to the score and the weight of the user.
In this embodiment, a second audience score is obtained based on the score and the audience client weights.
In the embodiment of the present application, a weight is given to the audience client according to the total viewing duration and the grade of the audience client, and the evaluation scores are weighted and averaged according to the weight, so as to generate the second audience score. The longer the total viewing duration, the higher the audience client level, and the higher the credibility of the scoring data of the corresponding audience client, so that the obtained second audience score can better reflect the popularity of the video to be scored in the audience client.
In the embodiment of the disclosure, the user comment data can be rescreened through the scoring model to obtain the data required in the user comment data, and a reference standard can be provided for screening video content by a host.
Fig. 5 is a block diagram 500 of a video editing apparatus in a live scene, according to an example embodiment. Referring to fig. 5, the apparatus includes a video editing module 501, a video pushing module 502, a scoring apparatus 503, and a recommended video determining module 504.
The video editing module 501 is configured to record a live video stream and generate a video to be scored in response to the anchor client being in a live state.
The video pushing module 502 is configured to push the video to be scored to at least one viewer client, and receive feedback data of the viewer client.
And the scoring module 503 is configured to generate a composite score of the video to be scored according to the feedback data.
And the recommended video determining module 504 is configured to determine a recommended video according to the composite score and the video to be scored.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 6 is a flowchart illustrating a video distribution method according to an exemplary embodiment.
As shown in fig. 6, the method comprises the steps of:
step one: and the server segments the live video stream to generate video fragments in the live broadcast process of the anchor client, and identifies the video fragments containing anchor highlight operation, namely the video to be edited, through a machine identification technology.
Step two: the server templates the video clips through content recognition technology to generate videos to be scored, for example: according to the video content and the proper background music, the background picture and the atmosphere effect meeting the video scene. And generating a section of video to be scored with atmosphere sense.
Step three: the server pushes the generated video to be scored to a live broadcast room of the audience client. After receiving the push, the client of the audience pops up a video playing window, so that the audience can watch the generated video content effect, and the audience can score, comment, praise and the like on the video content.
Step four: the server generates the amount of comment content (such as 666, very beautiful operation, great or the like) of the user in the period of the highlight according to the scores of the audience clients, and the audience clients calculate the comprehensive scores of the content in the dimensions such as the praise amount in the period of time.
Step five: according to the setting of the anchor client, when the comprehensive score reaches a certain threshold (for example, the comprehensive score reaches 80 minutes), the video to be scored is determined to be the recommended video, the content of the recommended video is automatically released into a fast-handed account of the anchor, meanwhile, the information released by the video is pushed to a live broadcasting room, a user is guided to comment and praise the video through a client of a spectator, if the video praise and comment quantity increases faster, the flow popularization can be carried out on the live broadcasting room, and more spectators can enter the live broadcasting room of the anchor.
Step six: and pushing all videos to be scored, of which the comprehensive scores reach a certain value (for example, 60 scores) to a host client side according to the final scores by the server when the host finishes live broadcasting according to the order of the scores from high to low, and enabling the host to perform subsequent screening, editing, publishing and the like by referring to the scores.
According to the embodiment of the disclosure, the problem that video content which is elaborately processed cannot be issued in real time in live broadcasting of a host is solved, in addition, audience participation in video judgment is increased, audience interactivity is improved, user watching time is prolonged, reference standards can be provided for screening video content of the host, workload of screening, editing and issuing videos of the host is reduced, high-quality video content can be issued by the host without video editing capability, output of the high-quality content is improved, meanwhile, more audiences can enter a live broadcasting room of the host by issuing the high-quality video content, host popularity is increased, and power of live broadcasting of the host is improved.
Fig. 7 is a block diagram illustrating an apparatus 700 for video distribution, according to an example embodiment. For example, apparatus 700 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like.
Referring to fig. 7, an apparatus 700 may include one or more of the following components: a processing component 702, a memory 704, a power component 706, a multimedia component 708, an audio component 710, an input/output (I/O) interface 712, a sensor component 714, and a communication component 716.
The processing component 702 generally controls overall operation of the apparatus 700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 702 may include one or more processors 620 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 702 can include one or more modules that facilitate interaction between the processing component 702 and other components. For example, the processing component 702 may include a multimedia module to facilitate interaction between the multimedia component 708 and the processing component 702.
Memory 704 is configured to store various types of data to support operations at device 700. Examples of such data include instructions for any application or method operating on the apparatus 700, contact data, phonebook data, messages, pictures, videos, and the like. The memory 704 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply component 706 provides power to the various components of the device 700. The power components 706 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 700.
The multimedia component 708 includes a screen between the device 700 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 708 includes a front-facing camera and/or a rear-facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 700 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
The audio component 710 is configured to output and/or input audio signals. For example, the audio component 710 includes a Microphone (MIC) configured to receive external audio signals when the device 700 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 704 or transmitted via the communication component 716. In some embodiments, the audio component 710 further includes a speaker for outputting audio signals.
The I/O interface 712 provides an interface between the processing component 702 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 714 includes one or more sensors for providing status assessment of various aspects of the apparatus 700. For example, the sensor assembly 714 may detect an on/off state of the device 700, a relative positioning of the components, such as a display and keypad of the apparatus 700, a change in position of the apparatus 700 or one component of the apparatus 700, the presence or absence of user contact with the apparatus 700, an orientation or acceleration/deceleration of the apparatus 700, and a change in temperature of the apparatus 700. The sensor assembly 714 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 714 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 716 is configured to facilitate communication between the apparatus 700 and other devices in a wired or wireless manner. The apparatus 700 may access a wireless network based on a communication standard, such as WiFi, an operator network (e.g., 2G, 3G, 4G, or 5G), or a combination thereof. In one exemplary embodiment, the communication component 716 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 716 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 704, including instructions executable by processor 620 of apparatus 700 to perform the above-described method. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.
Fig. 8 is a block diagram illustrating an apparatus 800 for video distribution, according to an example embodiment. For example, the apparatus 800 may be provided as a server. Referring to fig. 8, apparatus 800 includes a processing component 822 that further includes one or more processors and memory resources, represented by memory 832, for storing instructions, such as application programs, executable by processing component 822. The application programs stored in memory 832 may include one or more modules each corresponding to a set of instructions. Further, the processing component 822 is configured to execute instructions to perform the above-described methods.
The apparatus 800 may also include a power component 826 configured to perform power management of the apparatus 800, a wired or wireless network interface 850 configured to connect the apparatus 800 to a network, and an input/output (I/O) interface 858. The device 800 may operate based on an operating system stored in memory 832, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (16)
1. A video editing method in a live scene, comprising:
recording a live video stream and generating a video to be scored in response to the anchor client being in a live state;
pushing the video to be scored to at least one audience client, and receiving feedback data of the audience client;
generating a comprehensive score of the video to be scored according to the feedback data, wherein the comprehensive score reflects the approval degree of a user of a client of a spectator on the video to be scored;
determining recommended videos according to the comprehensive score and the videos to be scored;
the step of recording the live video stream and generating the video to be scored specifically comprises the following steps:
segmenting the live video stream to generate a video segment;
performing text recognition on the Chinese in the video segment by adopting a pre-trained neural network model, and judging whether a text for prompting the highlight operation exists or not;
if the text used for prompting the highlight operation appears, video editing is carried out by utilizing the video clip, and the video clip is determined to be a video to be edited;
and splicing the video to be edited, adding background music and background pictures, and generating the video to be scored.
2. The video editing method according to claim 1, wherein the feedback data specifically includes:
scoring data by the viewer client;
audience client comment data;
the viewer client point approves the data.
3. The video editing method according to claim 2, wherein the step of generating the composite score of the video to be scored according to the feedback data specifically comprises:
generating a first audience score from the audience client scoring data;
generating a second audience score according to the audience client comment data;
generating a third audience score based on the audience client point approval data amount;
the composite score is generated from the first audience score, the second audience score, and the third audience score.
4. The video editing method of claim 3, wherein the step of generating a second audience score from the audience client comment data specifically comprises:
inputting the comment data of the audience client into a scoring model to generate corresponding comment scores;
a second audience score is obtained based on the scoring and the audience client weights.
5. The video editing method of claim 3, wherein said step of generating a third audience score based on said audience client point approval data amount comprises:
the third audience score is generated based on a ratio of the amount of audience client approval data to the total amount of audience clients.
6. The video editing method according to claim 1, wherein the step of determining a recommended video according to the composite score and the video to be scored specifically comprises:
if the comprehensive score is greater than or equal to a preset comprehensive score threshold, determining that the video to be scored is the recommended video;
and if the comprehensive score is smaller than a preset comprehensive score threshold, determining that the video to be scored is not the recommended video.
7. The video editing method according to claim 1, wherein after the step of determining recommended videos from the composite score and the videos to be scored, further comprising:
and publishing the recommended video at the anchor client.
8. A video editing apparatus in a live scene, comprising:
the video editing module is used for responding to the live state of the anchor client, recording live video streams and generating videos to be scored;
the video pushing module is used for pushing the video to be scored to at least one audience client and receiving feedback data of the audience client;
the scoring module is used for generating a comprehensive score of the video to be scored according to the feedback data, wherein the comprehensive score reflects the approval degree of the user of the audience client side on the video to be scored;
the recommended video determining module is used for determining recommended videos according to the comprehensive score and the videos to be scored;
the video editing module specifically comprises:
a segmentation sub-module for segmenting the live video stream to generate a video segment;
the extraction sub-module is used for carrying out text recognition on the Chinese in the video segment by adopting a pre-trained neural network model and judging whether a text for prompting the highlight operation exists or not; if the text used for prompting the highlight operation appears, video editing is carried out by utilizing the video clip, and the video clip is determined to be a video to be edited;
and the splicing sub-module is used for splicing the video to be edited, adding background music and background pictures and generating the video to be scored.
9. The video editing apparatus according to claim 8, wherein the feedback data specifically includes:
scoring data by the viewer client;
audience client comment data;
the viewer client point approves the data.
10. The video editing apparatus according to claim 9, wherein the scoring module specifically comprises:
the first scoring sub-module is used for generating a first audience score according to the audience client scoring data;
the second scoring sub-module is used for generating a second audience score according to the audience client comment data;
a third scoring sub-module for generating a third audience score according to the audience client point approval data amount;
and the comprehensive scoring module is used for generating the comprehensive score according to the first audience score, the second audience score and the third audience score.
11. The video editing device according to claim 10, wherein the second scoring submodule specifically comprises:
the first scoring unit is used for inputting the comment data of the audience client into a scoring model to generate corresponding comment scores;
and the second scoring unit is used for acquiring a second audience score according to the score and the audience client weight.
12. The video editing device according to claim 10, wherein the third scoring submodule specifically comprises:
and the third scoring unit is used for generating the third audience score according to the ratio of the number of the audience client points to the total number of the audience clients.
13. The video editing apparatus according to claim 8, wherein the recommended video determination module specifically includes:
the first determining submodule determines that the video to be scored is the recommended video if the comprehensive score is greater than or equal to a preset comprehensive score threshold;
and the second determining submodule determines that the video to be scored is not the recommended video if the comprehensive score is smaller than a preset comprehensive score threshold.
14. The video editing device of claim 8, wherein the device further comprises:
and the release module is used for releasing the recommended video at the anchor client.
15. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of any one of claims 1 to 7.
16. A computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the method of any of claims 1 to 7.
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