CN108881938B - Live broadcast video intelligent cutting method and device - Google Patents
Live broadcast video intelligent cutting method and device Download PDFInfo
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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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- H04N21/218—Source of audio or video content, e.g. local disk arrays
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- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
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- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H04N21/47—End-user applications
- H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
- H04N21/47202—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for requesting content on demand, e.g. video on demand
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Abstract
The invention provides a live broadcast video intelligent cutting method and a live broadcast video intelligent cutting device, wherein the live broadcast video intelligent cutting method comprises the following steps: receiving live broadcast video data, wherein the live broadcast video data at least comprises a live broadcast picture; performing image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture, wherein the bad picture is at least one of a yellow-related picture, an storm-related picture, an administrative-related picture and a terrorist picture; and if the live broadcast picture is a bad picture, cutting the live broadcast video into a prestored video. The live broadcast video intelligent cutting method and the live broadcast video intelligent cutting device can identify live broadcast pictures in live broadcast videos, automatically cut the live broadcast videos into prestored videos under the condition that the live broadcast pictures are judged to be bad pictures, effectively avoid the bad pictures from being live broadcast through shooting equipment, and avoid the bad pictures from influencing the audience to have bad influence on the impression and the bad influence of the live broadcast videos.
Description
Technical Field
The invention relates to the technical field of multimedia, in particular to an intelligent live video cutting and playing method and device.
Background
Live broadcast refers to a real-time broadcasting mode in which images, sounds, reporter reports, interviews and the like of news facts are converted into broadcast or television signals to be directly transmitted on site, or refers to a broadcasting mode in which broadcast and television programs are simultaneously produced and broadcasted along with the occurrence and development processes of events on site, and in terms of news events, the live broadcast is a reporting mode and is a broadcast program.
The live broadcast is characterized in that the limitation of time and space is overcome to the maximum extent, the advantages of the broadcast television are conveniently exerted, the timeliness is stronger compared with the recording and video broadcasting, the on-site feeling and participation feeling of the audience is strong, and the live broadcast is commonly used for the report of major conferences, festival celebration activities, sports competitions, knowledge competitions, artistic performances and other activities.
Because live broadcast is an instant broadcasting mode, some bad citizens can take some bad propaganda activities, such as port propaganda activities, terrorism activities and the like, before recording the site after knowing the recording place and the recording time point, and the propaganda activities taken by the citizens can be live broadcast through shooting equipment so as to achieve the purpose of taking the propaganda activities.
Disclosure of Invention
In view of the above problems, the present invention provides an intelligent live video cutting method and apparatus, which can identify a live frame in a received live video, and automatically cut the live video into a pre-stored video when it is determined that the live frame is a bad frame, so as to effectively prevent the bad frame from being live-broadcast through a shooting device, and prevent the bad frame from affecting the audience's impression and bad influence on the live video.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides an intelligent live video cutting method, including:
receiving live broadcast video data, wherein the live broadcast video data at least comprises a live broadcast picture;
performing image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture, wherein the bad picture is at least one of a yellow-related picture, an storm-related picture, an administrative-related picture and a terrorist picture;
and if the live broadcast picture is a bad picture, cutting the live broadcast video into a prestored video.
In the above live video intelligent cutting method, the method further includes:
before the playing of a single pre-stored video is finished, carrying out image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture;
if the live broadcast picture is still a bad picture, playing the pre-stored video again or cutting another pre-stored video;
and if the live broadcast picture is a non-bad picture, cutting the live broadcast video after the single pre-stored video is played.
In the above live video intelligent cutting method, the method further includes:
when the pre-stored video is played, continuing to perform image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture;
if the live broadcast picture is still a bad picture, continuing to play the pre-stored video;
and if the live broadcast picture is a non-bad picture, cutting the played pre-stored video into a live broadcast video.
In the above live video intelligent cutting method, the method further includes:
after the live broadcast picture is cut back, image recognition is continuously carried out on the live broadcast picture, and whether the live broadcast picture is a bad picture or not is judged;
and if the live broadcast picture is a bad picture again, detecting whether the pre-stored videos are played one by one, and cutting the live broadcast video into one of the un-played pre-stored videos.
In the above live video intelligent cutting method, the method further includes:
after the live broadcast picture is cut back, detecting whether a broadcast signal source of the display terminal is consistent with a signal source corresponding to the live broadcast video;
and if the fact that the playing signal source of the display terminal is not accordant with the signal source corresponding to the live broadcast video is detected, sending prompt information, wherein the prompt information is used for prompting the audience that the live broadcast video is switched back.
In the above method for intelligently switching live broadcast video, the "switching live broadcast video to prestored video if the live broadcast picture is a bad picture" specifically includes:
if the live broadcast picture is a bad picture, acquiring a record of a video watched by a viewer within a preset time;
obtaining the type of the video which is favored to be watched by the audience according to the record analysis of the video watched by the audience in the preset time;
and cutting the live broadcast video into prestored video which is consistent with the type of the video which is favored to be watched by the audience.
In a second aspect, the present invention provides a receiving module, configured to receive live broadcast video data, where the live broadcast video data at least includes a live broadcast picture;
the image identification module is used for carrying out image identification on the live broadcast picture and judging whether the live broadcast picture is a bad picture, wherein the bad picture is at least one of a yellow-related picture, an storm-related picture, an administrative-related picture and a terrorist picture;
and the cutting and broadcasting module is used for cutting and broadcasting the live broadcast video into a prestored video when the live broadcast picture is a bad picture.
In above-mentioned live video intelligence surely plays device, still include:
the acquisition module is used for acquiring the record of the video watched by the audience in the preset time;
the analysis module is used for analyzing and obtaining the type of the video which is favored to be watched by the audience according to the record of the video watched by the audience in the preset time;
the cutting and broadcasting module is also used for cutting and broadcasting the live broadcast video into prestored video which is consistent with the type of the video which is favored to be watched by the audience.
In a third aspect, the present invention provides a terminal device, including a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to make the terminal device execute the live video intelligent cutting method.
In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program used in the terminal device described above.
The following illustrates the advantages or principles of the invention:
the live broadcast video intelligent cut-off method and the live broadcast video intelligent cut-off device provided by the invention can perform image recognition on a live broadcast picture in a live broadcast video after receiving live broadcast video data, judge whether the live broadcast picture is a bad picture, wherein the bad picture can be one or more of a yellow-related picture, an explosion-related picture, an administrative-related picture and a terrorist picture, and can automatically cut off the live broadcast video into a pre-stored video under the condition that the live broadcast picture is judged to be the bad picture, thereby effectively avoiding the bad picture from being live broadcast through shooting equipment, avoiding the bad picture from influencing the audience to look and feel of the live broadcast video and causing bad influence, and simultaneously, the cut-off of the pre-stored video can enable the audience to continue to watch the live broadcast video.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope of the present invention.
Fig. 1 is a flowchart of an intelligent live video cutting method according to an embodiment of the present invention;
fig. 2 is a flowchart of an intelligent live video cutting method according to a second embodiment of the present invention;
fig. 3 is a flowchart of an intelligent live video cutting method according to a third embodiment of the present invention;
fig. 4 is a schematic view of an intelligent live video cutting device according to a fourth embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a live broadcast video intelligent switching method and a live broadcast video intelligent switching device, which can perform image recognition on a live broadcast picture in a live broadcast video after receiving live broadcast video data, judge whether the live broadcast picture is a bad picture, wherein the bad picture can be one or more of a yellow-related picture, an explosion-related picture, an administrative-related picture and a terrorist picture, and can automatically switch the live broadcast video into a pre-stored video under the condition of judging that the live broadcast picture is the bad picture, thereby effectively avoiding the bad picture from being directly broadcast through shooting equipment, avoiding the bad picture from influencing the audience to look and feel of the live broadcast video and causing bad influence, and simultaneously, switching the pre-stored video can enable the audience to continuously watch the live broadcast video.
Example one
Fig. 1 is a flowchart of an intelligent live video cutting method according to an embodiment of the present invention, where the method includes the following steps:
step S101, receiving live broadcast video data, wherein the live broadcast video data at least comprises live broadcast pictures.
In this embodiment, live video data may be sent in real time for the shooting device, or may be sent to the cloud in real time for the shooting device, and then sent in real time by the cloud.
The live video data may include live audio in addition to the live pictures described above.
In this embodiment, the live broadcast site may be a live broadcast site of a major meeting, a festival celebration event, a sports event, a knowledge competition, a literary performance, and the like.
And S102, carrying out image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture, wherein the bad picture is at least one of a yellow-related picture, an storm-related picture, an administrative-related picture and a terrorist picture.
In this embodiment, the live view can be subjected to image recognition by the image recognition model, and whether the live view is a bad view can be determined. Preferably, the image recognition model is an artificial intelligence model based on image recognition.
The yellow-related picture described above may be understood as a picture related to yellow content; a riot-related picture can be understood as a picture relating to violent content; political-related pictures may be understood as pictures related to politically sensitive content; a terrorist-related screen may be understood as a screen related to a terrorist event or a terrorist attack.
The poor picture can be one or more of a yellow-related picture, an storm-related picture, a political-related picture and a terrorist picture.
In this embodiment, taking the above artificial intelligence model based on image recognition as an example, the artificial intelligence model based on image recognition is obtained by performing deep learning based on a large number of bad pictures, and when performing image recognition on live broadcast pictures, the accuracy of recognition can be greatly improved.
And S103, if the live broadcast picture is a bad picture, cutting the live broadcast video into a prestored video.
In this embodiment, the pre-stored videos may be one or more, and the pre-stored videos may be micro-videos, short videos, or long videos, for example, the pre-stored videos may be advertisement videos, or promotional videos of live events, or often short animation videos, and the like, which are not listed here.
According to the live broadcast video intelligent cut-off method provided by the embodiment of the invention, after live broadcast video data is received, image recognition can be carried out on live broadcast pictures in live broadcast videos, whether the live broadcast pictures are bad pictures or not can be judged, the bad pictures can be one or more of yellow-related pictures, storm-related pictures, administrative-related pictures and terrorist-related pictures, and under the condition that the live broadcast pictures are judged to be the bad pictures, the live broadcast videos can be automatically cut off and broadcast into prestored videos, the prestored videos can be advertising videos or publicity videos of live broadcast activities, or often short cartoon videos and the like.
The live broadcast video intelligent cutting method provided by the embodiment of the invention effectively avoids the bad pictures from being live broadcast through the shooting equipment, also avoids the bad pictures from influencing the audience to look and feel of the live broadcast video and causing bad influence, and simultaneously, the cutting of the pre-stored video can also enable the audience to continue watching.
Example two
Fig. 2 is a flowchart of an intelligent live video cutting method according to an embodiment of the present invention, where the method includes the following steps:
step S201, receiving live broadcast video data, wherein the live broadcast video data at least comprises a live broadcast picture.
Step S202, carrying out image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture, wherein the bad picture is at least one of a yellow-related picture, an storm-related picture, an administrative-related picture and a terrorist picture.
And step S203, if the live broadcast picture is a bad picture, cutting the live broadcast video into a prestored video.
And step S204, before the playing of a single pre-stored video is finished, carrying out image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture.
In this embodiment, it may be preset that a certain time point before the end of playing of a single pre-stored video performs image recognition on a live broadcast picture, for example, the preset certain time point before the end of playing of the single pre-stored video may be 2 seconds, 3 seconds, or 5 seconds before the end of playing of the single pre-stored video.
In this embodiment, before the playing of a single pre-stored video is finished, the live broadcast picture is subjected to image recognition, if it is determined that the live broadcast picture is still a bad picture, step S205 is performed, and if it is determined that the live broadcast picture is a non-bad picture, step S206 is performed, and the contents of step S205 and step S206 are as follows.
In step S205, the pre-stored video is played again or another pre-stored video is cut.
In this embodiment, the playing the pre-stored video again may be understood as continuing to play the pre-stored video after the playing of the pre-stored video is finished; the switching to another pre-stored video may be randomly switching to another pre-stored video after the pre-stored video is played, or switching to the next pre-stored video in the playlist according to the playing sequence.
And step S206, after the playing of the single pre-stored video is finished, cutting off the live broadcast video.
In this embodiment, before the playing of a single pre-stored video is finished, the live broadcast picture is subjected to image recognition, and if the live broadcast picture is judged to be a non-defective picture, the live broadcast video is automatically cut back after the playing of the single pre-stored video is finished.
The live broadcast video intelligent cutting and broadcasting method provided by the embodiment of the invention avoids cutting and broadcasting back under the condition that the live broadcast picture is still a bad picture, ensures that the audience can not watch the bad picture, and further avoids the bad picture from influencing the audience on the impression and the bad influence of the live broadcast video; meanwhile, the method ensures that the audience can completely watch the whole pre-stored video and can watch live broadcast video in time.
As an optional implementation manner, the live broadcast video intelligent cutting method in the embodiment of the present invention further includes the following steps:
and after the live broadcast picture is cut back, continuously carrying out image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture.
And if the live broadcast picture is a bad picture again, detecting whether the pre-stored videos are played one by one, and cutting the live broadcast video into one of the un-played pre-stored videos.
In this optional embodiment, after the live broadcast is cut back, if the live broadcast is judged to be a bad picture again, whether a plurality of pre-stored videos are played is detected, and after the detection is completed, the live broadcast video is automatically cut into one of the pre-stored videos which are not played, and the live broadcast video can be randomly cut into one of the pre-stored videos which are not played in the playlist, or cut into the first one of the pre-stored videos which are not played in the playlist.
According to the intelligent live video switching method, the situation that audiences watch the same pre-stored video for multiple times is effectively avoided, the audiences can have fresh impressions under the playing of different pre-stored videos, and better experience is brought to the audiences.
As an optional implementation manner, the live broadcast video intelligent cutting method in the embodiment of the present invention further includes the following steps:
after the live broadcast picture is cut back, detecting whether a broadcast signal source of the display terminal is consistent with a signal source corresponding to the live broadcast video;
and if the fact that the playing signal source of the display terminal is not accordant with the signal source corresponding to the live broadcast video is detected, sending prompt information, wherein the prompt information is used for prompting the audience that the live broadcast video is switched back.
In this optional embodiment, the play signal source of the display terminal may be understood as a current play signal source of the display terminal, and the signal source corresponding to the live broadcast video may be understood as a signal source that plays the live broadcast video, where the signal source corresponding to the live broadcast video may be one or more signal sources.
If a plurality of signal sources corresponding to the live broadcast video are available, the signal sources are consistent as long as the playing signal source of the display terminal is always consistent with any one signal source corresponding to the live broadcast video.
In this optional implementation, the prompt message may be directly sent to the display terminal or sent to the display terminal through the cloud.
The reminder information may include highlight identification information to better remind the viewer.
According to the intelligent live video cutting and playing method in the optional embodiment, after the live video picture is cut back, under the condition that the fact that the playing signal source of the display terminal of the audience is not consistent with the signal source corresponding to the live video is detected, the prompt information is sent, the audience is informed that the live video is cut back in time, the audience can watch the live video in time, and the phenomenon that the audience misses the content of the live video is reduced.
As an optional implementation manner, in the live video intelligent cutting method according to an embodiment of the present invention, the step S203 includes:
and if the live broadcast picture is a bad picture, acquiring the record of the video watched by the audience in the preset time.
In this alternative embodiment, the above-mentioned manner of acquiring the record of the video watched by the viewer in the predetermined time may be directly acquiring or acquiring through the cloud.
The predetermined time may be within one week, within one month, within three months, within half a year, etc.
And analyzing the record of the video watched by the viewer in a preset time to obtain the type of the video watched by the viewer.
In this alternative embodiment, the type of video that the viewer likes to watch may be the video type that has been watched the most frequently, or the video type that has been watched the longest.
And cutting the live broadcast video into prestored video which is consistent with the type of the video which is favored to be watched by the audience.
According to the intelligent live video cutting and broadcasting method, when the live video is to be cut and broadcasted into the pre-stored video, the live video can be cut and broadcasted into the pre-stored video which is in accordance with the video type loved by the audience to watch, so that the audience can have better impression and bring better experience to the audience, and under the condition of attracting the audience to watch, the audience can watch the live video in time after the live video is cut back.
The rest of the present embodiment can refer to the content of the first embodiment, and in this embodiment, the description is omitted.
EXAMPLE III
Fig. 3 is a flowchart of an intelligent live video cutting method according to an embodiment of the present invention, where the method includes the following steps:
step S301, receiving live broadcast video data, wherein the live broadcast video data at least comprises a live broadcast picture.
Step S302, carrying out image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture, wherein the bad picture is at least one of a yellow-related picture, an storm-related picture, an administrative-related picture and a terrorist picture.
And step S303, if the live broadcast picture is a bad picture, cutting the live broadcast video into a prestored video.
And step S304, when the pre-stored video is played, continuing to perform image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture.
In this embodiment, when the pre-stored video is played, image recognition can be performed on a live broadcast picture in real time, or image recognition can be performed on the live broadcast picture within a preset time period, or image recognition can be performed on the live broadcast picture at a preset time node.
In this embodiment, when the pre-stored video is played, the image recognition of the live broadcast frame is continued, if it is determined that the live broadcast frame is still a bad frame, step S305 is performed, and if it is determined that the live broadcast frame is a non-bad frame, step S306 is performed, and the contents of step S305 and step S306 are as follows.
And step S305, continuing to play the pre-stored video.
And S306, cutting the played pre-stored video into live broadcast video.
The live broadcast video intelligent cut-off method provided by the embodiment of the invention can continuously carry out image recognition on the live broadcast picture when the pre-stored video is played, and cut back the live broadcast picture in time when the live broadcast picture is judged to be a non-bad picture, thereby ensuring that audiences can watch the live broadcast video in time.
The rest of the present embodiment can refer to the contents of the first and second embodiments, and details are not repeated in this embodiment.
Example four
Fig. 4 shows a schematic structural diagram of an intelligent live video cutting device according to an embodiment of the present invention. The live video intelligent cutting device of fig. 4 includes:
a receiving module 410, configured to receive live video data, where the live video data at least includes a live frame.
The image recognition module 420 is configured to perform image recognition on the live broadcast picture, and determine whether the live broadcast picture is a bad picture, where the bad picture is at least one of a yellow-related picture, an storm-related picture, an administrative-related picture, and a terrorist picture.
And a cutting and playing module 430, configured to cut and play the live broadcast video into a pre-stored video when the live broadcast picture is a bad picture.
As an optional implementation manner, the live video intelligent cutting and playing device according to the embodiment of the present invention further includes:
and the acquisition module is used for acquiring the record of the video watched by the audience in the preset time.
And the analysis module is used for analyzing and obtaining the type of the video which is favored to be watched by the audience according to the record of the video watched by the audience in the preset time.
Further, the above-mentioned cutting module 430 is also used for cutting the live video into the pre-stored video corresponding to the type of the video that the viewer likes to watch.
The live broadcast video intelligent cutting and broadcasting device identifies the live broadcast picture in the received live broadcast video, automatically cuts and broadcasts the live broadcast video into the pre-stored video under the condition that the live broadcast picture is judged to be a bad picture, effectively prevents the bad picture from being live broadcast out through shooting equipment, also prevents the bad picture from influencing the audience to look and feel and causing bad influence on the live broadcast video, and simultaneously, the cutting and broadcasting of the pre-stored video can also enable the audience to continue watching.
The live broadcast video intelligent cutting and playing device can implement the live broadcast video intelligent cutting and playing method of the first embodiment. Any options in the first embodiment are also applicable to the present embodiment, and are not described in detail here.
In addition, the invention also provides terminal equipment which can be set top boxes or terminal equipment such as smart televisions. The terminal equipment comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor runs the computer program to enable the terminal equipment to execute the live broadcast video intelligent cutting method.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the mobile terminal, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The present embodiment also provides a computer-readable storage medium storing a computer program used in the terminal device described above.
In the several embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The system embodiments described above are merely illustrative, and the flowcharts and block diagrams in the figures, for example, illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, each functional module or unit in each embodiment of the present invention may be integrated together to form an independent part, or each module or unit may exist separately, or two or more modules or units may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that substantially contributes to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes several instructions for enabling a terminal device (which may be a set-top box or a smart television, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. The live broadcast video intelligent cutting and broadcasting method is characterized by comprising the following steps:
receiving live broadcast video data, wherein the live broadcast video data at least comprises a live broadcast picture;
performing image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture, wherein the bad picture is at least one of a yellow-related picture, an storm-related picture, an administrative-related picture and a terrorist picture;
if the live broadcast picture is a bad picture, cutting the live broadcast video into a prestored video;
before the playing of a single pre-stored video is finished, carrying out image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture;
if the live broadcast picture is still a bad picture, playing the pre-stored video again or cutting another pre-stored video;
if the live broadcast picture is a non-bad picture, cutting and broadcasting the live broadcast video after the single pre-stored video is played;
after the live broadcast picture is cut back, detecting whether a broadcast signal source of the display terminal is consistent with a signal source corresponding to the live broadcast video;
and if the fact that the playing signal source of the display terminal is not accordant with the signal source corresponding to the live broadcast video is detected, sending prompt information, wherein the prompt information is used for prompting the audience that the live broadcast video is switched back.
2. The intelligent live video cutting method according to claim 1, further comprising:
when the pre-stored video is played, continuing to perform image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture;
if the live broadcast picture is still a bad picture, continuing to play the pre-stored video;
and if the live broadcast picture is a non-bad picture, cutting the played pre-stored video into a live broadcast video.
3. The intelligent live video cutting method according to claim 2, further comprising:
after the live broadcast picture is cut back, image recognition is continuously carried out on the live broadcast picture, and whether the live broadcast picture is a bad picture or not is judged;
and if the live broadcast picture is a bad picture again, detecting whether the pre-stored videos are played one by one, and cutting the live broadcast video into one of the un-played pre-stored videos.
4. The intelligent live video cutting and broadcasting method according to claim 1, wherein the step of cutting and broadcasting the live video into the pre-stored video if the live video is a bad picture specifically comprises the steps of:
if the live broadcast picture is a bad picture, acquiring a record of a video watched by a viewer within a preset time;
obtaining the type of the video which is favored to be watched by the audience according to the record analysis of the video watched by the audience in the preset time;
and cutting the live broadcast video into prestored video which is consistent with the type of the video which is favored to be watched by the audience.
5. Live broadcast video intelligence surely plays device, its characterized in that includes:
the receiving module is used for receiving live broadcast video data, and the live broadcast video data at least comprises a live broadcast picture;
the image identification module is used for carrying out image identification on the live broadcast picture and judging whether the live broadcast picture is a bad picture, wherein the bad picture is at least one of a yellow-related picture, an storm-related picture, an administrative-related picture and a terrorist picture;
the cutting and broadcasting module is used for cutting and broadcasting the live broadcast video into a prestored video when the live broadcast picture is a bad picture;
the cutting and broadcasting module is further configured to:
before the playing of a single pre-stored video is finished, carrying out image recognition on the live broadcast picture, and judging whether the live broadcast picture is a bad picture;
if the live broadcast picture is still a bad picture, playing the pre-stored video again or cutting another pre-stored video;
if the live broadcast picture is a non-bad picture, cutting and broadcasting the live broadcast video after the single pre-stored video is played;
after the live broadcast picture is cut back, detecting whether a broadcast signal source of the display terminal is consistent with a signal source corresponding to the live broadcast video;
and if the fact that the playing signal source of the display terminal is not accordant with the signal source corresponding to the live broadcast video is detected, sending prompt information, wherein the prompt information is used for prompting the audience that the live broadcast video is switched back.
6. The live video intelligent cutting and playing device according to claim 5, further comprising:
the acquisition module is used for acquiring the record of the video watched by the audience in the preset time;
the analysis module is used for analyzing and obtaining the type of the video which is favored to be watched by the audience according to the record of the video watched by the audience in the preset time;
the cutting and broadcasting module is also used for cutting and broadcasting the live broadcast video into prestored video which is consistent with the type of the video which is favored to be watched by the audience.
7. A terminal device, characterized by comprising a memory for storing a computer program and a processor for executing the computer program to make the terminal device execute the live video intelligent cut-off method according to any one of claims 1 to 4.
8. A computer-readable storage medium, characterized in that it stores a computer program for use in the terminal device of claim 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110379360A (en) * | 2019-07-18 | 2019-10-25 | 福建晶彩光电科技股份有限公司 | It is a kind of for controlling the display control unit and system of full color display |
| CN110446092B (en) * | 2019-07-25 | 2023-06-20 | 北京拉近众博科技有限公司 | Virtual auditorium generation method, system, device and medium for sports game |
| CN113542724B (en) * | 2020-04-16 | 2023-09-15 | 福建天泉教育科技有限公司 | Automatic detection method and system for video resources |
| CN112565655A (en) * | 2020-11-27 | 2021-03-26 | Oppo广东移动通信有限公司 | Video data yellow identification method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104023237A (en) * | 2014-06-23 | 2014-09-03 | 安徽皖通邮电股份有限公司 | Signal source authenticity identification method for signal transmission tail end |
| CN104079924A (en) * | 2014-03-05 | 2014-10-01 | 北京捷成世纪科技股份有限公司 | Mistakenly-played video detection method and device |
| CN105635811A (en) * | 2014-11-06 | 2016-06-01 | 中广美意文化传播控股有限公司 | Advertisement playing method and device based on broadcast and TV wireless live broadcast signal |
| CN105915995A (en) * | 2015-11-18 | 2016-08-31 | 乐视网信息技术（北京）股份有限公司 | Video playing method and device |
| CN107734362A (en) * | 2017-10-11 | 2018-02-23 | 咪咕视讯科技有限公司 | The determination method, apparatus and computer-readable recording medium of a kind of video source |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1901452A1 (en) * | 2006-09-13 | 2008-03-19 | Nagravision S.A. | Method of transmission of service information in different types of broadcast networks |
| CN103218608B (en) * | 2013-04-19 | 2017-05-10 | 中国科学院自动化研究所 | Network violent video identification method |
| CN105635756A (en) * | 2015-12-29 | 2016-06-01 | Tcl海外电子（惠州）有限公司 | Method and system for remotely controlling intelligent television |
| CN107517391B (en) * | 2016-06-16 | 2021-04-09 | 阿里巴巴集团控股有限公司 | Method and equipment for identifying abnormal live broadcast information in video live broadcast |
-
2018
- 2018-08-02 CN CN201810869384.9A patent/CN108881938B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104079924A (en) * | 2014-03-05 | 2014-10-01 | 北京捷成世纪科技股份有限公司 | Mistakenly-played video detection method and device |
| CN104023237A (en) * | 2014-06-23 | 2014-09-03 | 安徽皖通邮电股份有限公司 | Signal source authenticity identification method for signal transmission tail end |
| CN105635811A (en) * | 2014-11-06 | 2016-06-01 | 中广美意文化传播控股有限公司 | Advertisement playing method and device based on broadcast and TV wireless live broadcast signal |
| CN105915995A (en) * | 2015-11-18 | 2016-08-31 | 乐视网信息技术（北京）股份有限公司 | Video playing method and device |
| CN107734362A (en) * | 2017-10-11 | 2018-02-23 | 咪咕视讯科技有限公司 | The determination method, apparatus and computer-readable recording medium of a kind of video source |
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|---|---|
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