CN107241618B - Recording method and recording apparatus - Google Patents
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- CN107241618B CN107241618B CN201710665005.XA CN201710665005A CN107241618B CN 107241618 B CN107241618 B CN 107241618B CN 201710665005 A CN201710665005 A CN 201710665005A CN 107241618 B CN107241618 B CN 107241618B
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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]
- H04N21/40—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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- 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
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
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- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
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- H04N21/488—Data services, e.g. news ticker
- H04N21/4884—Data services, e.g. news ticker for displaying subtitles
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- H—ELECTRICITY
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- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
- H04N21/8126—Monomedia components thereof involving additional data, e.g. news, sports, stocks, weather forecasts
- H04N21/8133—Monomedia components thereof involving additional data, e.g. news, sports, stocks, weather forecasts specifically related to the content, e.g. biography of the actors in a movie, detailed information about an article seen in a video program
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- H04N21/8456—Structuring of content, e.g. decomposing content into time segments by decomposing the content in the time domain, e.g. in time segments
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- Signal Processing (AREA)
- Television Signal Processing For Recording (AREA)
Abstract
The invention discloses a receiving and recording method and a receiving and recording device, wherein the receiving and recording method comprises the following steps: setting a strip splitting task according to an electronic program guide; distributing the strip splitting task according to the state of the intelligent processing server; and the intelligent processing server performs the strip splitting processing on the corresponding video material according to the strip splitting task and stores strip splitting related information, so that a user can search the corresponding video material through keywords related to the strip splitting related information. The technical scheme of the invention sets a strip splitting task according to an electronic program guide, and automatically splits the recorded video content through intelligent content identification; the material management platform can quickly position the materials according to the strip disassembling information, and provides powerful support for a later-stage production platform.
Description
Technical Field
The invention relates to the technical field of media asset management, in particular to a recording method and a recording device.
Background
With the digitalization, networking and informatization of the whole program production process and the development of the internet and the mobile internet, the traditional television is gradually fused with the internet, so that a television station has the requirement of 'media convergence' service. Meanwhile, in order to deal with the new medium development pattern, the content sharing, management and production services are provided for media platforms including televisions, broadcasts, websites, mobile phones and internet televisions.
With the explosive growth of video material amount, in order to better utilize video resources, a method for receiving and recording program content is provided for a converged media production platform and providing service for production in a station.
Disclosure of Invention
In view of the above problems, the present invention provides a new recording method and recording apparatus.
One embodiment of the present invention provides a listing method, including:
setting a strip splitting task according to an electronic program guide;
distributing the strip splitting task according to the state of the intelligent processing server;
and the intelligent processing server performs the strip splitting processing on the corresponding video material according to the strip splitting task and stores strip splitting related information, so that a user can search the corresponding video material through keywords related to the strip splitting related information.
In the above-described recording method, the electronic program guide is received from an external system interface.
In the above recording method, the intelligent processing server obtains the video material by accessing an index file.
In the above recording method, the striping process includes a transition recognition process and a face recognition process.
In the above-described recording method, the strip splitting process further includes a subtitle recognition process.
Another embodiment of the present invention provides a recording apparatus including:
the strip disassembling task setting module is used for setting a strip disassembling task according to the electronic program guide;
the task distribution module distributes the stripping task according to the state of the intelligent processing server;
and the storage module is used for storing the related information of the splitting bar after the intelligent processing server splits the corresponding video material according to the splitting bar task, so that a user can search the corresponding video material through the keywords related to the related information of the splitting bar.
In the above recording apparatus, the electronic program guide acquisition module receives the electronic program guide from an external system interface.
In the recording apparatus, the intelligent processing server obtains the video material by accessing an index file.
In the above recording apparatus, the striping process includes a transition recognition process and a face recognition process.
In the above recording apparatus, the strip removal processing further includes subtitle recognition processing.
The technical scheme of the invention sets a strip splitting task according to an electronic program guide, constructs a receiving and recording system and provides an intelligent content splitting strip at the same time, and automatically splits the received and recorded video content into fragmented videos through intelligent content identification; the material management platform can quickly position the materials according to the strip disassembling information, and provides powerful support for a later-stage production platform.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings 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 shows a flowchart of the listing method of embodiment 1.
Fig. 2 is a schematic configuration diagram of the recording apparatus according to embodiment 2.
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.
Hereinafter, the terms "includes" or "may include" used in various embodiments of the present invention indicate the presence of the disclosed functions, operations, or elements, and do not limit the addition of one or more functions, operations, or elements. Furthermore, as used in various embodiments of the present invention, the terms "comprises," "comprising," "includes," "including," "has," "having" and their derivatives are intended to mean that the specified features, numbers, steps, operations, elements, components, or combinations of the foregoing, are only meant to indicate that a particular feature, number, step, operation, element, component, or combination of the foregoing, and should not be construed as first excluding the existence of, or adding to the possibility of, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
In various embodiments of the invention, the expression "at least one of a or/and B" includes any or all combinations of the words listed simultaneously. For example, the expression "at least one of a or/and B" may include a, may include B, or may include both a and B.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The invention is characterized in that an intelligent television system and a transcoding center are matched to work to obtain the recorded files stored in a shared area, and the recorded files are processed by an intelligent bar splitting server and can be used by other systems in a broadcast station.
Example 1
Fig. 1 shows a flowchart of the listing method of embodiment 1.
In step S110, a tear down task is set according to the electronic program guide.
An Electronic Program Guide (EPG) contains a playlist of all channels that are included each day. The splitting task is set for the video program needing the splitting process, for example, the splitting can be set to be performed for news simulcasts at 19:00-19:30CCTV1 every day in a period of time.
The electronic program guide may be obtained from an external system interface, such as a smart television system.
In step S120, the tear-down task is distributed according to the state of the smart processing server.
Since there are various large amounts of information and tasks to be processed in the broadcast station, there may be a plurality of intelligent processing servers to process the information and tasks. Thus, stripping tasks may be assigned based on the current state of the intelligent processing server, e.g., more tasks may be assigned to a relatively idle intelligent processing server.
In step S130, the intelligent processing server performs a bar splitting process on the corresponding video material according to the bar splitting task, and stores the bar splitting related information.
The intelligent processing server may obtain the video material by accessing the index file. For example, the smart processing server accesses m3u8 from the shared folder to obtain video material. The slicing server can read the EPG information to generate an m3u8 file. The H264 and AAC encoded MP4 files can also be sliced by ffmpeg to generate an m3u8 playlist (index file) and a plurality of ts files, and place them (m3u8, ts) under a specified directory. m3u8 is a file index, and a program recorded with a lot of data files can form an m3u8 file index.
The stripping can be according to transition recognition technology and face recognition technology. The transition recognition technology recognizes the picture of shot conversion in the video and provides frame accurate processing data for subsequent intelligent recognition processing. The transition recognition technology is based on a histogram shear lens automatic detection algorithm, and the recognition accuracy is guaranteed.
Transition identification is carried out in the link of receiving and recording material migration, and a bottom layer identification library is used for automatically extracting material transition frames to assist in quickly positioning segment cut points, so that the time of the seek material in the process of splitting the news program is saved, and particularly, the efficiency of splitting the news program is greatly improved. When the strip splitting client side executes strip splitting material examination, the transition frame corresponding to the material can be automatically loaded according to the material information recorded in the database, and a user can directly operate the transition frame. And the editing is carried out while the recorded material is read, so that the refreshing and loading of the transition frame are realized while the material is refreshed.
The face recognition technology is mainly applied to accurate positioning of a news host picture and provides basic data for distinguishing the host picture from other pictures in subsequent intelligent processing.
For example, news video may be decoded, grouped, e.g., every 5 frames, face recognition using, e.g., opencv techniques, correlation analysis by histograms to form segments, key frames selected, similarity analysis using multi-scale L BP features, histograms, Hog features, hash fingerprints, etc., and the moderator determined by classification statistics.
In addition, the strip can be disassembled by adopting a caption identification technology, the edited caption often exists in a program picture and can be directly used for disassembling the caption of the material segment after the strip is disassembled, the strip disassembling system only needs to select the caption picture to be identified, the system can automatically identify the picture into caption characters, and the method is simple and rapid.
The information about the splitting may include, for example, the number of news segments in the video, the split time point of the splitting, and its association information with the slice file (ts) or m3u8, and further include metadata about the split video segments, such as content introduction of the video material, title name, material acquisition manner, topic classification, broadcast channel, material level, duration, production completion date, classification name, caption, program host, creator name, and the like.
In the above embodiment 1, since the Electronic Program Guide (EPG) is used for positioning, it is possible to accurately position and identify which program the material belongs to, and accurately position the start position of the program, without the need for the picture recognition technique generally employed in the prior art, thereby greatly reducing the amount of data processing, and the positioning is more accurate.
According to the embodiment 1, the recorded video content can be automatically split into the fragmented videos according to the transition information through intelligent content identification. After the video materials are stripped, full-text retrieval is supported, and a user can locate specific video materials after inputting keywords related to stripping related information into a retrieval frame, namely, the material management platform can quickly locate the materials according to the stripping related information, so that powerful support is provided for a post-production platform. In addition, after the video material is intelligently processed, the related information of the strip-splitting, such as the number of news fragments and the splitting time point of the strip-splitting, is stored, and the copy of the video material does not need to be additionally stored, so that the storage space can be greatly saved.
Example 2
Fig. 2 is a schematic diagram showing a configuration of the recording apparatus according to embodiment 2.
The listing apparatus 200 includes a strip breaking task setting module 210 that sets a strip breaking task according to an electronic program guide.
An Electronic Program Guide (EPG) contains a playlist of all channels that are included each day. The splitting task is set for the video program needing the splitting process, for example, the splitting can be set to be performed for news simulcasts at 19:00-19:30CCTV1 every day in a period of time.
The electronic program guide may be obtained from an external system interface, such as a smart television system.
And the task distribution module 220 distributes the stripping task according to the state of the intelligent processing server.
Since there are various large amounts of information and tasks to be processed in the broadcast station, there may be a plurality of intelligent processing servers to process the information and tasks. Thus, stripping tasks may be assigned based on the current state of the intelligent processing server, e.g., more tasks may be assigned to a relatively idle intelligent processing server.
And the storage module 230 is configured to store the strip splitting related information after the intelligent processing server performs strip splitting processing on the corresponding video material according to the strip splitting task.
The storage module 230 may be local to the intelligent processing server; of course, the storage module 230 may be located in other servers.
The intelligent processing server may obtain the video material by accessing the index file. For example, the smart processing server accesses m3u8 from the shared folder to obtain video material. The slicing server can read the EPG information to generate an m3u8 file. The H264 and AAC encoded MP4 files can also be sliced by ffmpeg to generate an m3u8 playlist (index file) and a plurality of ts files, and place them (m3u8, ts) under a specified directory. m3u8 is a file index, and a program recorded with a lot of data files can form an m3u8 file index.
The splitting is mainly based on transition recognition technology and face recognition technology. The transition recognition technology recognizes the picture of shot conversion in the video and provides frame accurate processing data for subsequent intelligent recognition processing. The transition recognition technology is based on a histogram shear lens automatic detection algorithm, and the recognition accuracy is guaranteed.
Transition identification is carried out in the link of receiving and recording material migration, and a bottom layer identification library is used for automatically extracting material transition frames to assist in quickly positioning segment cut points, so that the time of the seek material in the process of splitting the news program is saved, and particularly, the efficiency of splitting the news program is greatly improved. When the strip splitting client side executes strip splitting material examination, the transition frame corresponding to the material can be automatically loaded according to the material information recorded in the database, and a user can directly operate the transition frame. And the editing is carried out while the recorded material is read, so that the refreshing and loading of the transition frame are realized while the material is refreshed.
The face recognition technology is mainly applied to accurate positioning of a news host picture and provides basic data for distinguishing the host picture from other pictures in subsequent intelligent processing.
For example, news video may be decoded, grouped, e.g., every 5 frames, face recognition using, e.g., opencv techniques, correlation analysis by histograms to form segments, key frames selected, similarity analysis using multi-scale L BP features, histograms, Hog features, hash fingerprints, etc., and the moderator determined by classification statistics.
In addition, a caption identification technology can be adopted, edited titles often exist in a program picture, the program picture can be directly used for detaching the titles of the material segments, the caption identification technology is used, a bar detaching system only needs to select the title picture needing to be identified, the system can automatically identify the picture into title characters, and the method is simple and rapid.
The information about the splitting may include, for example, the number of news segments in the video, the split time point of the splitting, and its association information with the slice file (ts) or m3u8, and further include metadata about the split video segments, such as content introduction of the video material, title name, material acquisition manner, topic classification, broadcast channel, material level, duration, production completion date, classification name, caption, program host, creator name, and the like.
In the above embodiment 2, since the Electronic Program Guide (EPG) is used for positioning, it is possible to accurately position and identify which program the material belongs to, and accurately position the start position of the program, without the need for the picture recognition technique generally employed in the prior art, thereby greatly reducing the amount of data processing, and the positioning is more accurate.
According to the embodiment 2, the recorded video content can be automatically split into the fragmented videos according to the transition information through intelligent content identification. After the video materials are stripped, full-text retrieval is supported, and a user can locate specific video materials after inputting keywords related to stripping related information into a retrieval frame, namely, the material management platform can quickly locate the materials according to the stripping related information, so that powerful support is provided for a post-production platform. In addition, after the video material is intelligently processed, the related information of the strip-splitting, such as the number of news fragments and the splitting time point of the strip-splitting, is stored, and the copy of the video material does not need to be additionally stored, so that the storage space can be greatly saved.
The listing system may include two parts: one part is the background service part and the other part is the application part.
The storage and exchange used by the system are standard equipment, and the system adopts an Ethernet single network architecture, so that the construction and maintenance are convenient. In order to ensure the safety and stability of the system, all the servers can be deployed in a dual-computer hot standby mode.
The data in the recording system can be downloaded according to the requirement, and the dotting part of content can be downloaded and transcoded and then transferred to the target system by calling the service of an off-line transcoding center in the broadcast station.
A background service module: the receiving and recording system provides data service, receiving and recording service, key frame service, intelligent distribution service, interface service and intelligent content stripping service.
An application service module: the listing system will provide B/S application services including search, preview, point, download, etc. applications.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, 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 may exist separately, or two or more modules 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 thereof, which essentially contributes to the prior art, can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be, for example, a personal computer, a server, or a network device) 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.
Claims (6)
1. An inclusion method, comprising:
setting a strip splitting task aiming at a video program needing strip splitting processing according to an electronic program guide;
distributing the strip splitting task according to the state of the intelligent processing server;
the intelligent processing server carries out strip removal processing on the corresponding video material according to the strip removal task and stores strip removal related information, so that a user can search the corresponding video material through keywords related to the strip removal related information; the strip splitting processing comprises transition recognition processing, face recognition processing and subtitle recognition processing;
the transition recognition processing is based on a histogram shear lens automatic detection algorithm, a material transition frame is automatically extracted through a bottom layer recognition library to assist in quickly positioning segment cut points, a picture of lens conversion in a video is recognized, and a transition frame corresponding to a material is automatically loaded according to material information recorded in a database when a strip removal client side executes examination and verification of the strip removal material, so that a user can directly operate the transition frame.
2. The recording method according to claim 1,
the electronic program guide is received from an external system interface.
3. The recording method according to claim 1,
and the intelligent processing server acquires the video material by accessing the index file.
4. A listing apparatus, comprising:
the strip splitting task setting module is used for setting a strip splitting task for a video program needing strip splitting processing according to an electronic program guide;
the task distribution module distributes the stripping task according to the state of the intelligent processing server;
the storage module is used for storing the related information of the splitting bar after the intelligent processing server splits the corresponding video material according to the splitting bar task, so that a user can search the corresponding video material through keywords related to the related information of the splitting bar; the strip splitting processing comprises transition recognition processing, face recognition processing and subtitle recognition processing;
the transition recognition processing is based on a histogram shear lens automatic detection algorithm, a material transition frame is automatically extracted through a bottom layer recognition library to assist in quickly positioning segment cut points, a picture of lens conversion in a video is recognized, and a transition frame corresponding to a material is automatically loaded according to material information recorded in a database when a strip removal client side executes examination and verification of the strip removal material, so that a user can directly operate the transition frame.
5. The listing device of claim 4,
and the electronic program guide acquisition module receives the electronic program guide from an external system interface.
6. The listing device of claim 4,
and the intelligent processing server acquires the video material by accessing the index file.
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| CN201710665005.XA CN107241618B (en) | 2017-08-07 | 2017-08-07 | Recording method and recording apparatus |
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| CN201710665005.XA CN107241618B (en) | 2017-08-07 | 2017-08-07 | Recording method and recording apparatus |
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| CN111105817B (en) * | 2018-10-25 | 2021-08-17 | 国家广播电视总局广播电视科学研究院 | Training data generation method and device for intelligent program production |
| CN109151615B (en) * | 2018-11-02 | 2022-01-25 | 湖南双菱电子科技有限公司 | Video processing method, computer device, and computer storage medium |
| CN111901696B (en) * | 2020-07-31 | 2022-04-15 | 杭州当虹科技股份有限公司 | Real-time recording and strip-disassembling system based on hls technology by using preloading mode |
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| CN104639832B (en) * | 2015-01-23 | 2018-11-27 | 广东欧珀移动通信有限公司 | A kind of panorama photographic method and terminal |
| CN104735356A (en) * | 2015-03-23 | 2015-06-24 | 深圳市欧珀通信软件有限公司 | Panorama picture shooting method and device |
| CN105721440A (en) * | 2016-01-21 | 2016-06-29 | 成都索贝数码科技股份有限公司 | Use method of media content business flow integrated management and control application cloud platform |
| CN105704503A (en) * | 2016-01-21 | 2016-06-22 | 成都索贝数码科技股份有限公司 | Application method for online integrated pipe control application cloud platform based on saas media cloud technology |
| CN105812665B (en) * | 2016-03-29 | 2019-01-15 | 联想(北京)有限公司 | A kind of shooting processing method, device and electronic equipment |
| CN105763779B (en) * | 2016-03-31 | 2020-02-21 | 联想(北京)有限公司 | Electronic equipment and prompting method |
| CN106131393A (en) * | 2016-06-15 | 2016-11-16 | 北京小米移动软件有限公司 | Take pictures reminding method and device |
| WO2018035811A1 (en) * | 2016-08-25 | 2018-03-01 | 北京小米移动软件有限公司 | Panoramic photographing method, terminal, rotating assembly and panoramic photographing device |
| CN107105166B (en) * | 2017-05-26 | 2020-12-01 | 努比亚技术有限公司 | Image photographing method, terminal, and computer-readable storage medium |
| CN109474785A (en) * | 2018-11-27 | 2019-03-15 | 三星电子（中国）研发中心 | The focus of electronic device and electronic device tracks photographic method |
| CN110266941A (en) * | 2019-05-31 | 2019-09-20 | 维沃移动通信（杭州）有限公司 | A kind of panorama shooting method and terminal device |
-
2017
- 2017-08-07 CN CN201710665005.XA patent/CN107241618B/en active Active
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