CN111294608A - Television program list processing method and device and readable storage medium - Google Patents
Television program list processing method and device and readable storage medium Download PDFInfo
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- CN111294608A CN111294608A CN202010107790.9A CN202010107790A CN111294608A CN 111294608 A CN111294608 A CN 111294608A CN 202010107790 A CN202010107790 A CN 202010107790A CN 111294608 A CN111294608 A CN 111294608A
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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
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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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
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/458—Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations
- H04N21/4586—Content update operation triggered locally, e.g. by comparing the version of software modules in a DVB carousel to the version stored locally
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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
- H04N21/47—End-user applications
- H04N21/482—End-user interface for program selection
- H04N21/4825—End-user interface for program selection using a list of items to be played back in a given order, e.g. playlists
Abstract
The embodiment of the invention discloses a television program list processing method, a device and a readable storage medium. Belongs to the technical field of multimedia, and the method comprises the following steps: acquiring a television program list to be processed; determining preset playing time information of each program in a television program list to be processed; in the program playing process, sequentially recording the video of the appointed time slot of each program, wherein the video of the appointed time slot is provided with an actual live broadcast time mark; and correcting the television program list to be processed according to the actual live broadcast time of the video in the appointed time period of each program. The live television program list is more accurate, the live television program list can be accurately and quickly corrected, the program is automatically corrected, and the labor input is saved.
Description
Technical Field
The invention belongs to the technical field of multimedia, and particularly relates to a television program list processing method and device and a readable storage medium.
Background
A television station provides a program guide, and an operator makes an EPG (electronic program guide) according to the program guide provided by the television station. However, the program list provided by the television station is basically inaccurate in time, and there often exists a time error, i.e. the time on the program list is inconsistent with the actual playing time of the television program, such as: when a live broadcast ball game is played, the playing time of programs behind the ball game can be influenced when the live broadcast ball game is played; for another example: when news is played, sudden situations such as breaking-in of important news and the like occur suddenly, so that the time of a program provided by a television station is inconsistent with the time of an actually played program, and the user experience is greatly influenced.
In the prior art, a common method is manual proofreading, which requires a large amount of labor and practice, but has the situations of large workload and errors, and at present, the program proofreading has evolved towards automatic program proofreading, but can only be accurate to minutes and cannot be accurate to seconds, so that the experience brought to users is still not good, and therefore, how to design an accurate television program list is a problem to be solved urgently nowadays.
Disclosure of Invention
In order to solve the problem of inaccurate television program list in the prior art, the embodiment of the invention provides the following technical scheme:
in a first aspect, a method for processing a television program list includes:
acquiring a television program list to be processed;
determining preset playing time information of each program in the television program list to be processed;
in the current program playing process, sequentially recording the appointed time period video of each program, wherein the appointed time period video is provided with an actual live broadcast time mark;
and correcting the preset playing time of each program in the television program list to be processed according to the actual live time of the video in the appointed time period of each program.
Further, before the correcting the preset playing time of each program in the television program list to be processed according to the actual live time of the video in the specified time period of each program, the method further includes:
establishing a sample feature library, wherein the sample feature library comprises the specified time period of each program in the television program list to be processed.
Further, the establishing of the sample feature library comprises:
recording the current playing video of each program in the television program list to be processed, wherein the current playing video comprises the appointed time slot of each program;
splitting the appointed time period in the recorded current playing video of each program according to frames;
and storing each split frame of picture into a sample feature library.
Further, the establishing of the sample feature library further comprises;
training the frame pictures stored in a sample feature library by using deep learning so as to determine the program feature information of each program, and taking the frame pictures containing the program feature information as effective frames of the corresponding programs;
the correcting the preset playing time of each program in the television program list to be processed according to the actual live time of the video in the appointed time period of each program comprises the following steps:
and comparing the video in the appointed time period with the effective frame in the sample feature library, and correcting the preset playing time of each program in the television program list to be processed by using the actual live broadcast time mark of the video in the appointed time period.
Further, the comparing the video of the specified time period with the valid frame in the sample feature library, and correcting the playing time of each program in the television program list to be processed by using the actual live time stamp of the video of the specified time period includes:
acquiring a frame picture to be processed of a video in a specified time period of a current live program, wherein the frame picture to be processed has real-time live time;
matching the frame picture to be processed with the effective frame in the feature library;
screening out a frame picture to be processed with the largest similarity with the effective frame, wherein the similarity is greater than a preset threshold value;
and correcting the playing time of the corresponding program in the television program list to be processed by utilizing the actual live broadcast time mark of the screened frame picture to be processed.
Further, the specified time period comprises a program leader and/or a program trailer.
In a second aspect, a television program list processing apparatus includes:
the acquisition unit is used for acquiring a television program list to be processed;
the information determining unit is used for determining the preset playing time information of each program in the television program list to be processed;
the recording unit is used for sequentially recording the appointed time slot video of each program in the current program playing process, and the appointed time slot video is provided with an actual live broadcast time mark;
and the correcting unit is used for correcting the playing time of each program in the television program list to be processed according to the actual live time of the video in the appointed time period of each program.
Further, the method also comprises the following steps:
and the sample feature library establishing unit is used for establishing a sample feature library, and the sample feature library contains the specified time period of each program in the television program list to be processed.
Further, the sample feature library establishing unit includes:
the recording module is used for recording the current playing video of each program in the television program list to be processed, wherein the current playing video comprises a head video frame picture and/or a tail video frame picture of each program;
the splitting module is used for splitting the head video frame picture and/or the tail video frame picture in the forward playing video of each recorded program according to frames;
the training module is used for training the frame pictures stored in the sample feature library by using deep learning so as to determine the program feature information of each program, and the frame pictures containing the program feature information are used as effective frames of the corresponding programs;
and the storage module is used for storing each split frame of picture into the sample feature library.
Further, the correction unit further includes:
the acquisition module is used for acquiring a frame picture to be processed of a video in a specified time period of a current live program, wherein the frame picture to be processed has real-time live time.
The matching module is used for matching all effective frames of the current live program with the effective frames in the sample feature library;
the calculating module 53 is configured to calculate similarities between all the valid frames of the live program and valid frames in the sample feature library, and when the similarities are greater than a preset threshold, determine that a video picture corresponding to the similarities matches with a valid frame in the sample feature library;
and the processing module is used for taking the earliest time in the matched effective frames as the starting time of the current live program and taking the latest time in the matched effective frames as the ending time of the current live program.
In a third aspect, a readable storage medium comprises a memory for storing a computer program and a processor for executing the computer program to implement the method of any one of claims 1-6.
The embodiment of the invention provides a television program list processing method, a device and a readable storage medium, which comprises the steps of obtaining a television program list to be processed; determining preset playing time information of each program in a television program list to be processed; in the current program playing process, sequentially recording the video of the appointed time slot of each program, wherein the video of the appointed time slot is provided with an actual live broadcast time mark; and correcting the preset playing time of each program in the television program list to be processed according to the actual live time of the video in the appointed time period of each program. The embodiment of the invention carries out time correction on the preset television program points by utilizing the actual live broadcast time, can enable the live broadcast television program list to be more accurate, can accurately and quickly correct the live broadcast television program list, and has automatic program correction, thereby saving the labor input.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a television program list processing method according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating a television program list processing method according to another embodiment of the present invention.
Fig. 3 is a flowchart illustrating a television program list processing method according to another embodiment of the present invention.
Fig. 4 is a structural diagram of a television program list processing apparatus according to an embodiment of the present invention.
Fig. 5 is a block diagram of a television program guide processing apparatus according to another embodiment of the present invention.
Fig. 6 is a block diagram of a television program guide processing apparatus according to another embodiment of the present invention.
Reference numerals:
1-a sample feature library establishing unit; 11-a recording module; 12-splitting the module; 13-a training module; 14-a storage module; 2-an obtaining unit, 3-an information determining unit; 4-a recording unit; 5-a correction unit; 51-an acquisition module; 52-a matching module; 53-a calculation module; 54-processing module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
In view of the problems in the related art that a television program list is inaccurate, the workload of checking the television program list is large, there is a mistake, and the checking is not accurate enough, the present invention provides a method for processing the television program list, and fig. 1 is a schematic flow diagram of a method for processing the television program list provided by an embodiment of the present application, as shown in fig. 1, the method includes the following steps:
s101, acquiring a television program list to be processed;
wherein, the television program list to be processed is issued by the central office of radio and television. The television program list to be processed comprises television station information and a television program list, and the television program list comprises a television program name, and television program playing start time and end time.
S102, determining preset playing time information of each program in a television program list to be processed;
the preset playing time information includes a program start time point and a program end time point. And different marks are correspondingly set at the program starting time point and the program ending time point respectively. The embodiment of the present invention does not limit the way of the identification, and is selected by a person skilled in the art according to needs.
S103, in the program playing process, sequentially recording the specified time slot video of each program, wherein the specified time slot video is provided with an actual live broadcast time mark;
the video of the designated time period in each program is recorded in sequence as follows: a program leader, and/or a program trailer. The length of the designated time period may be 2 minutes, or 5 minutes, or 10 minutes, and the length of the designated time period is not specifically limited in the embodiment of the present invention and may be set by a person skilled in the art as needed.
Different marks are respectively set for the program head and/or the program tail. The identification method and the identification device can be used for identifying numbers or characters, the identification mode is not limited in the embodiment of the invention, and the identification method and the identification device can be selected by a person skilled in the art according to needs.
And S104, correcting the preset playing time of each program in the television program list to be processed according to the actual live broadcast time of the video in the appointed time period of each program. .
In one embodiment, for example, the broadcast time of a news simulcast delivered by a central office of radio and television is from 19 pm to 19 pm for 30 minutes, however, there is a big news occurrence in the same day and needs to be interrupted, which affects the overall time of the news simulcast, causes the end time of the news simulcast to be delayed, and also affects the broadcast time of the next program, and at this time, the television program list to be processed needs to be corrected to correct the actual broadcast time of the program.
The embodiment of the invention provides a television program list processing method, which comprises the steps of obtaining a television program list to be processed; determining preset playing time information of each program in a television program list to be processed; sequentially recording videos of specified time periods in each program, wherein the videos of the specified time periods have actual live broadcast time marks; and correcting the television program list to be processed according to the actual live time mark of the specified time section video in each program. The embodiment of the invention can enable the live television program list to be more accurate, accurately and quickly corrected, and the program is automatically corrected, thereby saving the labor input.
As an improvement of the above method, another television program list processing method is provided in the embodiment of the present invention, as shown in fig. 2,
s201, establishing a sample feature library, wherein the sample feature library comprises the appointed time period of each program in the television program list to be processed.
S202, recording a current playing video of each program in the television program list to be processed, wherein the current playing video comprises a designated time slot of each program;
in one embodiment, for example, where the pending television program guide includes a news lineup, the leader and trailer of the news lineup may be recorded.
S203, splitting the appointed time period in the current playing video of each recorded program according to frames;
and S204, storing each split frame of picture into a sample feature library.
S205, training the frame pictures stored in the sample feature library by using deep learning so as to determine the program feature information of each program, and taking the frame pictures containing the program feature information as effective frames of the corresponding programs;
and S206, comparing the video in the appointed time period with the effective frame in the sample feature library, and correcting the preset playing time of each program in the television program list to be processed by using the actual live broadcast time mark of the video in the appointed time period.
As an alternative implementation of the present invention, referring to fig. 3, step 206 can be implemented by, but is not limited to, the following processes:
s2061, acquiring a frame picture to be processed of a video in a specified time period of a current live program, wherein the frame picture to be processed has real-time live time;
s2062, matching the frame picture to be processed with the effective frame in the feature library;
s2063, screening out the frame picture to be processed, which has the maximum similarity with the effective frame and the similarity is greater than a preset threshold value;
and S2064, correcting the playing time of the corresponding program in the television program list to be processed by using the actual live broadcast time mark of the screened frame picture to be processed.
In the television program list processing method provided by the embodiment of the invention, the frame picture to be processed of the video in the appointed time period of the current live program is provided with real-time live time; matching the frame picture to be processed with the effective frame in the feature library; screening out a frame picture to be processed with the largest similarity with the effective frame, wherein the similarity is greater than a preset threshold value; and correcting the playing time of the corresponding program in the television program list to be processed by utilizing the actual live broadcast time mark of the screened frame picture to be processed. When the live program needs to be corrected, the captured real-time picture is transmitted to the feature library for comparison, and the accurate playing time and ending time of the program can be rapidly identified.
In order to cooperate with the implementation of the television program list processing method, the embodiment of the invention provides a television program list processing device. In this solution, the user can, with reference to figure 4,
the device includes:
the sample feature library establishing unit 1 is configured to establish a sample feature library, where the sample feature library includes a specified time period of each program in the television program list to be processed.
The acquisition unit 2 is used for acquiring a television program list to be processed;
the information determining unit 3 is used for determining the preset playing time information of each program in the television program list to be processed;
the recording unit 4 is used for sequentially recording the specified time slot video of each program in the current program playing process, wherein the specified time slot video is provided with an actual live broadcast time mark;
and the correcting unit 5 is used for correcting the playing time of each program in the television program list to be processed according to the actual live broadcast time of the video in the appointed time period of each program.
The embodiment of the invention provides a television program list processing device, which comprises: the device comprises an acquisition unit, a recording unit and a correction unit, wherein the acquisition unit is used for acquiring a television program list to be processed; the recording unit is used for recording specified time section videos in each program in sequence, and the specified time section videos are provided with actual live broadcast time marks; the correction unit is used for correcting the television program list to be processed, the earliest time in all the effective frames is used as the starting time of the current live program, and the latest time in all the effective frames is used as the ending time of the current live program. Through the cooperative work of the units, the accurate playing time and ending time of the program can be quickly identified, and the correction work of the program list can be quickly and accurately finished.
As an alternative implementation manner of the present invention, referring to fig. 5, the sample feature library establishing unit 1 may be implemented by, but not limited to, the following modules:
the recording module 11 is configured to record a forward play video of each program in the to-be-processed television program list, where the forward play video includes a head video frame picture and/or a tail video frame picture of each program;
the splitting module 12 is configured to split a head video frame picture and/or a tail video frame picture in a forward playing video of each recorded program according to frames;
the training module 13 is used for training the frame pictures stored in the sample feature library by using deep learning so as to determine the program feature information of each program, and the frame pictures containing the program feature information are used as effective frames of the corresponding programs;
and the storage module 14 is used for storing each split frame of picture into the sample feature library.
The embodiment of the invention provides a television program list processing device, which is improved in the previous embodiment, wherein the sample feature library establishing unit further comprises a recording module, a splitting module, a training module and a storage module; the recording module is used for recording the current playing video of each program in the television program list to be processed, wherein the current playing video comprises a head video frame picture and/or a tail video frame picture of each program; the splitting module is used for splitting the head video frame picture and/or the tail video frame picture in the forward playing video of each recorded program according to frames; the training module is used for training the frame pictures stored in the sample feature library by using deep learning so as to determine the program feature information of each program, and the frame pictures containing the program feature information are used as effective frames of the corresponding programs; and the storage module is used for storing each split frame of picture into the sample feature library. The establishment of the sample feature library is completed through the modules, and the embodiment of the invention establishes a program picture containing massive and accurate information through the units, thereby providing guarantee for the accuracy of the subsequent correction work to second.
As an alternative implementation of the present invention, referring to fig. 6, the correction unit 5 may be implemented by, but is not limited to, the following modules:
the acquiring module 51 is configured to acquire a to-be-processed frame picture of a video in a specified time period of a current live program, where the to-be-processed frame picture has real-time live time.
The matching module 52 is configured to match all valid frames of the current live program with valid frames in the sample feature library;
the calculating module 53 is configured to calculate similarities between all the valid frames of the live program and valid frames in the sample feature library, and when the similarities are greater than a preset threshold, determine that a video picture corresponding to the similarities matches with the valid frames in the sample feature library;
the processing module 54 takes the earliest time in the matched valid frame as the start time of the current live program, and takes the latest time in the matched valid frame as the end time of the current live program.
The embodiment of the invention provides a television program list processing device, which is improved in the previous embodiment and comprises an acquisition module, a matching module, a calculation module and a processing module; the acquisition module is used for acquiring all effective frames of the current live program; the matching module is used for matching the current video picture with the effective frame in the sample feature library; the processing module is used for taking the earliest time in the matched effective frame as the starting time of the current live program and taking the latest time in the matched effective frame as the ending time of the current live program. The calculation module is used for calculating the similarity between all effective frames of the live program and the effective frames in the sample feature library, and when the similarity is greater than a preset threshold value, the video pictures corresponding to the similarity are judged to be matched with the effective frames in the sample feature library; the correction work is completed through the modules, the live television program list can be accurate to the second, the program is automatically corrected, and the labor input is saved. In addition, after the program list is corrected, when playing back the played live video, the user can directly see the beginning of the wanted video instead of playing the advertisement for several minutes or the previous program.
Further optionally, an embodiment of the present invention further provides a readable storage medium, including: a memory for storing a computer program and a processor for executing the computer program to implement the method of any one of the television program listings processing methods.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means 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 application. 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.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (11)
1. A television program list processing method is characterized by comprising the following steps:
acquiring a television program list to be processed;
determining preset playing time information of each program in the television program list to be processed;
in the current program playing process, sequentially recording the appointed time period video of each program, wherein the appointed time period video is provided with an actual live broadcast time mark;
and correcting the preset playing time of each program in the television program list to be processed according to the actual live time of the video in the appointed time period of each program.
2. The method of claim 1, further comprising, before said correcting the preset playing time of each program in the pending television program list according to the actual live time of the video in the specified time period of each program:
establishing a sample feature library, wherein the sample feature library comprises the specified time period of each program in the television program list to be processed.
3. The method of claim 2, wherein the establishing a sample feature library comprises:
recording the current playing video of each program in the television program list to be processed, wherein the current playing video comprises the appointed time slot of each program;
splitting the appointed time period in the recorded current playing video of each program according to frames;
and storing each split frame of picture into a sample feature library.
4. The method of claim 3, wherein said creating a sample feature library further comprises;
training the frame pictures stored in a sample feature library by using deep learning so as to determine the program feature information of each program, and taking the frame pictures containing the program feature information as effective frames of the corresponding programs;
the correcting the preset playing time of each program in the television program list to be processed according to the actual live time of the video in the appointed time period of each program comprises the following steps:
and comparing the video in the appointed time period with the effective frame in the sample feature library, and correcting the preset playing time of each program in the television program list to be processed by using the actual live broadcast time mark of the video in the appointed time period.
5. The method of claim 4, wherein the comparing the video of the specified time period with the valid frames in the sample feature library and the correcting the playing time of each program in the television program list to be processed with the actual live time stamp of the video of the specified time period comprises:
acquiring a frame picture to be processed of a video in a specified time period of a current live program, wherein the frame picture to be processed has real-time live time;
matching the frame picture to be processed with the effective frame in the feature library;
screening out a frame picture to be processed with the largest similarity with the effective frame, wherein the similarity is greater than a preset threshold value;
and correcting the playing time of the corresponding program in the television program list to be processed by utilizing the actual live broadcast time mark of the screened frame picture to be processed.
6. The method of claim 4, wherein the specified time period comprises a program leader and/or a program trailer.
7. A television program guide processing apparatus, comprising:
the acquisition unit is used for acquiring a television program list to be processed;
the information determining unit is used for determining the preset playing time information of each program in the television program list to be processed;
the recording unit is used for sequentially recording the appointed time slot video of each program in the current program playing process, and the appointed time slot video is provided with an actual live broadcast time mark;
and the correcting unit is used for correcting the playing time of each program in the television program list to be processed according to the actual live time of the video in the appointed time period of each program.
8. The apparatus of claim 7, further comprising:
and the sample feature library establishing unit is used for establishing a sample feature library, and the sample feature library contains the specified time period of each program in the television program list to be processed.
9. The apparatus of claim 7, wherein the sample feature library creating unit comprises:
the recording module is used for recording the current playing video of each program in the television program list to be processed, wherein the current playing video comprises a head video frame picture and/or a tail video frame picture of each program;
the splitting module is used for splitting the head video frame picture and/or the tail video frame picture in the forward playing video of each recorded program according to frames;
the training module is used for training the frame pictures stored in the sample feature library by using deep learning so as to determine the program feature information of each program, and the frame pictures containing the program feature information are used as effective frames of the corresponding programs;
and the storage module is used for storing each split frame of picture into the sample feature library.
10. The apparatus of claim 7, wherein the correction unit further comprises:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring a frame picture to be processed of a video in a specified time period of a current live program, and the frame picture to be processed has real-time live time;
the matching module is used for matching all effective frames of the current live program with the effective frames in the sample feature library;
the calculation module is used for calculating the similarity between all effective frames of the live program and the effective frames in the sample feature library, and when the similarity is greater than a preset threshold value, the video pictures corresponding to the similarity are judged to be matched with the effective frames in the sample feature library;
and the processing module is used for taking the earliest time in the matched effective frames as the starting time of the current live program and taking the latest time in the matched effective frames as the ending time of the current live program.
11. A readable storage medium comprising a memory for storing a computer program and a processor for executing the computer program to implement the method of any one of claims 1-6.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010107790.9A CN111294608A (en) | 2020-02-21 | 2020-02-21 | Television program list processing method and device and readable storage medium |
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| CN202010107790.9A CN111294608A (en) | 2020-02-21 | 2020-02-21 | Television program list processing method and device and readable storage medium |
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Application publication date: 20200616 |