CN113515670B - Film and television resource state identification method, equipment and storage medium - Google Patents
Film and television resource state identification method, equipment and storage medium Download PDFInfo
- Publication number
- CN113515670B CN113515670B CN202110921963.5A CN202110921963A CN113515670B CN 113515670 B CN113515670 B CN 113515670B CN 202110921963 A CN202110921963 A CN 202110921963A CN 113515670 B CN113515670 B CN 113515670B
- Authority
- CN
- China
- Prior art keywords
- resource
- video
- play
- film
- checked
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 92
- 230000002159 abnormal effect Effects 0.000 claims abstract description 7
- 230000006399 behavior Effects 0.000 claims description 53
- 238000012545 processing Methods 0.000 claims description 29
- 238000007689 inspection Methods 0.000 claims description 28
- 238000004590 computer program Methods 0.000 claims description 8
- 238000011176 pooling Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000012549 training Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000003213 activating effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/71—Indexing; Data structures therefor; Storage structures
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Library & Information Science (AREA)
- Multimedia (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The invention discloses a method, equipment and storage medium for identifying the state of video resources. The method comprises the following steps: identifying a movie resource to be inspected, the movie resource to be inspected including at least one of: suspected offline video resources, active video resources, video resources configured by an operation platform, video resources added by a partner of a client, and the total video resources remained in a video resource library which are traversed in sequence according to a first preset period; and checking whether the film and television resource to be checked is offline according to the play screenshot or the play log of the film and television resource to be checked. By implementing the scheme of the invention, the offline video resources can be rapidly identified and taken off the shelf from the service system, so that the abnormal video resources can not be pushed to the user, and the user experience is improved.
Description
Technical Field
The present invention relates to the field of multimedia technologies, and in particular, to a method, an apparatus, and a storage medium for identifying a status of a video resource.
Background
The video resources are mainly concentrated on the head manufacturer for making contents, and generally, the manufacturers for making televisions or projections are cooperated with the related manufacturers. When the video resource comes from the cooperating three-party manufacturer, if the video is put down for various reasons, the first time is not necessarily synchronized, so that in order to ensure the user experience, the video resource which is put down needs to be found as soon as possible and relevant processing needs to be performed.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, apparatus, and storage medium for identifying a state of a video resource, which can quickly identify the state of the video resource, so as to perform a related process on the video resource with a offline state.
In a first aspect, an embodiment of the present invention provides a method for identifying a status of a movie resource, including:
identifying a movie resource to be inspected, the movie resource to be inspected including at least one of: suspected offline video resources, active video resources, video resources configured by an operation platform, video resources added by a partner of a client, and the total video resources remained in a video resource library which are traversed in sequence according to a first preset period;
and checking whether the film and television resource to be checked is offline according to the play screenshot or the play log of the film and television resource to be checked.
In one possible implementation, the video resource to be inspected includes a suspected offline video resource, and the identifying the video resource to be inspected includes:
collecting the film watching behaviors of a user from a client;
and identifying suspected offline video resources according to the video watching behaviors of the user.
In one possible implementation, the user's viewing behavior includes event generation time, device identification, event type, and event content.
In one possible implementation manner, the identifying the suspected offline video resource according to the viewing behavior of the user includes:
generating a film and television resource related event table according to the film and television watching behavior of a user, wherein the film and television resource related event table comprises a starting playing film and television resource identifier and data corresponding to the starting playing film and television resource identifier, and the data corresponding to the starting playing film and television resource identifier comprises any one or more of the following: the number of the next video resource, the number of the first time interval for playing the next video resource, the number of the play exit event and the number of the second time interval for exiting the play interval are played;
and identifying suspected offline video resources according to the video resource related event list.
In one possible implementation manner, the generating the movie resource related event table according to the movie watching behavior of the user includes:
processing user watching behaviors at preset interval time, and processing the user watching behaviors into a first user behavior table, wherein the first user behavior table comprises field equipment identifiers and any one or more of the following fields: a video resource identifier is initially played, a video resource identifier is played next, an operation event type is played next, a video resource time interval is played next, and an operation event time interval is played next;
Performing event type classification and interval time classification processing on the first user behavior table to generate a second user behavior table, wherein the second user behavior table comprises field equipment identifiers and any one or more of the following fields: a video resource identifier is initially played, whether a next video resource is played, the type of a next operation event is classified, the time interval of playing the next video resource and the time interval of the next operation event are long and short;
and counting data corresponding to the initial playing video resource identifier by using the initial playing video resource identifier as an index by using the second user behavior table, and generating a video resource related event table.
In one possible implementation manner, the identifying the suspected offline video resource according to the video resource-related event table includes:
normalizing the data corresponding to the initial playing video resource identifier in the video resource related event table, inputting the processed data into a trained video resource suspected offline model, and if the value output by the video resource suspected offline model is greater than or equal to a first threshold value, judging that the video resource indicated by the initial playing video resource identifier in the video resource related event table is suspected offline video resource, wherein the video resource suspected offline model is used for predicting whether the video resource is suspected offline video resource; or,
And if the data corresponding to the initial playing video resource identifier in the video resource related event list accords with the suspected offline video resource rule, judging that the video resource indicated by the initial playing video resource identifier in the video resource related event list is the suspected offline video resource.
In one possible implementation, the suspected offline movie resource rule includes one of the following:
the number of play-out next video asset at first time interval/the number of play-out next video asset > = second threshold;
when the number of the exit playing events is greater than or equal to a preset value, the number of the exit playing intervals at the second time/the number of the exit playing events > = a third threshold value;
the number of play-out next video asset intervals first time/number of play-out next video asset > = fourth threshold, and the number of exit play-out intervals second time/number of exit play-out events > = fifth threshold.
In one possible implementation, the event types include play, fast forward, fast reverse, return, home page, and full screen; the event type classification comprises continuous playing, exiting playing and no event, wherein the continuous playing comprises fast forward, fast backward and full screen, and the exiting playing comprises returning and homepage.
In one possible implementation manner, the data corresponding to the starting playing movie resource identifier further includes any one or more of the following: the number of movie resources that are not playing the next, the number of movie resources that are playing the next, the number of events that continue to play, the number of no events, the number of times that exit the play interval, the number of times that continue to play the fifth time, and the number of times that continue to play the sixth time.
In one possible implementation manner, the checking whether the movie resource to be checked is offline according to the play screenshot or the play log of the movie resource to be checked includes at least one of the following:
if the film and television resource to be checked has a play log which is not successfully played in the playing process, judging that the film and television resource to be checked is in a offline state;
if the playing screenshot of the film and television resource to be checked contains continuous N playing screenshots containing the images popped up abnormally, judging that the film and television resource to be checked is in a offline state, wherein N is a preset positive integer;
and if the video resource to be checked has a picture which is unchanged in a continuous period of time in the playing process, judging that the video resource to be checked is in a offline state.
In one possible implementation manner, the checking whether the movie resource to be checked is offline according to the play screenshot or the play log of the movie resource to be checked includes:
judging whether the video resource to be checked has an unsuccessful playing log in the playing process, and if the video resource to be checked has an unsuccessful playing log in the playing process, judging that the video resource to be checked is in a offline state; otherwise, obtaining a play screenshot of the film and television resource to be checked according to a preset frequency;
judging whether N consecutive play screenshots containing the pictures popped up abnormally during play exist in the obtained play screenshots, wherein N is a preset positive integer, and judging that the film and television resource to be checked is in a offline state if the N consecutive play screenshots containing the pictures popped up abnormally during play exist in the obtained play screenshots;
judging whether the film and television resource to be checked has a picture unchanged in a continuous period of time in the playing process according to the obtained playing screenshot; if the video resource to be checked has a picture which is unchanged in a continuous period of time in the playing process, judging that the video resource to be checked is in a offline state; otherwise, judging that the film and television resource to be checked is in a normal state.
In one possible implementation manner, the determining whether there are N consecutive playback shots including the abnormally popped pictures in the obtained playback shots includes:
and carrying out character recognition on the non-subtitle and non-barrage areas in the play screenshot, and judging whether the recognized characters contain relevant logs of abnormal play.
In one possible implementation manner, the determining, according to the obtained play screenshot, whether the film and television resource to be checked has an unchanged picture within a continuous period of time in the playing process includes:
if the continuous M playing screenshots are highly similar, judging that the to-be-checked film and television resource has unchanged pictures within a continuous period of time in the playing process, wherein M is a preset positive integer.
In one possible implementation manner, the method for judging the high similarity of the play screenshot includes:
acquiring two continuous screen shots A and B from the play screen shots;
removing pixel areas containing status bar parts at the tops of the screenshot A and the screenshot B; obtaining RGB values of a screenshot A and a screenshot B of a pixel area with a status bar part at the top removed, and converting the RGB values into a gray image; processing the gray level image by adopting a maximum pooling method; judging the ratio of the cross correlation between the screenshot A and the screenshot B after the processing to the autocorrelation between the screenshot A, and judging the screenshot A and the screenshot B to be highly similar if the ratio is larger than or equal to a sixth threshold.
In one possible implementation manner, after the identifying the movie resource to be inspected and before the inspecting whether the movie resource to be inspected is offline according to the play screenshot or the play log of the movie resource to be inspected, the method further includes:
issuing the data of the film and television resource to be inspected to inspection equipment;
and obtaining a play screenshot or a play log of the to-be-inspected film and television resource played by the inspection equipment.
In one possible implementation manner, the delivering the data of the film and television resource to be inspected to the inspection device includes:
if the film and television resource to be checked needs to be judged in a offline mode, the film and television resource information to be checked is sent to a message queue;
acquiring data of the target inspection film and television resource from the message queue according to the priority of the film and television resource;
the data of the target inspection film and television resource is translated into protocol instructions which can be executed by the inspection equipment and is issued to the inspection equipment.
In one possible implementation, the priority of the movie resource includes: the suspected offline video resource > active video resource > video resource configured by the operation platform > video resource increased by the partner of the client, and the total video resources remained in the video resource library are traversed sequentially according to a first preset period.
In one possible implementation manner, after the verifying whether the film and television resource to be verified is offline according to the play screenshot or the play log of the film and television resource to be verified, the method further includes:
if the video resource to be checked is checked to be in the offline state, and the video resource to be checked is in the normal state in the original library, changing the video resource to be checked to be in the offline state, and notifying an operator;
and if the film and television resource to be checked is checked to be in an on-line state and in the original library to be in an off-line state, notifying an operator to process.
In a second aspect, an embodiment of the present invention provides a device for identifying a status of a movie resource, including:
the to-be-inspected movie resource identification module is used for identifying to-be-inspected movie resources, and the to-be-inspected movie resources comprise at least one of the following: suspected offline video resources, active video resources, video resources configured by an operation platform, video resources added by a partner of a client, and the total video resources remained in a video resource library which are traversed in sequence according to a first preset period;
and the film and television resource offline checking module is used for checking whether the film and television resource to be checked is offline according to the play screenshot or the play log of the film and television resource to be checked.
In one possible implementation manner, the film and television resource to be inspected includes a suspected offline film and television resource, and the film and television resource identification module to be inspected includes:
the user film watching behavior collecting module is used for collecting film watching behaviors of a user from the client;
and the suspected offline video resource analysis module is used for identifying suspected offline video resources according to the video watching behaviors of the user.
In one possible implementation manner, the film and television resource identification module to be checked includes:
the active video resource analysis module is used for identifying the P-bit active video resources with the top ranking number watched by the user within a second preset period time;
the video resource processing module is configured for identifying video resources configured by the operation platform;
the newly added film and television resource processing module is used for identifying the film and television resources added by the cooperation side of the client;
and the full-volume video resource processing module is used for traversing the remaining full-volume video resources in the video resource library in sequence according to the first preset period.
In one possible implementation, the method further includes:
the film and television resource checking and distributing module is used for sending the film and television resource information to be checked to the message queue if the film and television resource to be checked needs to be subjected to offline judgment; acquiring data of the target inspection film and television resource from the message queue according to the priority of the film and television resource; the data of the target inspection film and television resource is translated into protocol instructions which can be executed by the inspection equipment and is issued to the inspection equipment.
In one possible implementation, the method further includes:
the film and television resource state processing module is used for changing the film and television resource to be checked into the offline state and notifying operators if the film and television resource to be checked is checked into the offline state and is in a normal state in the original library; and if the film and television resource to be checked is checked to be in an on-line state and in the original library to be in an off-line state, notifying an operator to process.
In a third aspect, an embodiment of the present invention provides a video resource status identifying apparatus, where the apparatus includes a processor and a memory, where the memory stores instructions executable by the processor, where the instructions are loaded and executed by the processor to implement the video resource status identifying method according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium storing a computer program, where the computer program when executed by a processor implements the method for identifying a status of a video resource according to the first aspect.
In a fifth aspect, an embodiment of the present invention provides a computer program product comprising instructions that, when executed by at least one processor, cause the at least one processor to perform the video resource status identifying method according to the first aspect.
It should be noted that, the apparatus according to the second aspect, the device according to the third aspect, the storage medium according to the fourth aspect, and the computer program product according to the fifth aspect are configured to execute the method provided in the first aspect, so that the same beneficial effects as those of the method in the first aspect can be achieved, and embodiments of the present invention are not repeated.
By implementing the scheme of the invention, the offline video resources can be rapidly identified and taken off the shelf from the service system, so that the abnormal video resources can not be pushed to the user, and the user experience is improved.
Drawings
FIG. 1 is a flowchart of a method for identifying status of video resources according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a method for identifying suspected offline video resources according to a video viewing behavior of a user according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a method for delivering data of a film and television resource to be inspected to an inspection device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a video resource status recognition device according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions of the present invention, the following description will clearly and completely describe the technical solutions of the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention. Furthermore, while the present disclosure has been described in terms of an exemplary embodiment or embodiments, it should be understood that each aspect of the disclosure may be separately implemented as a complete solution. The following embodiments and features of the embodiments may be combined with each other without conflict.
In embodiments of the invention, words such as "exemplary," "such as" and the like are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the term use of an example is intended to present concepts in a concrete fashion.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one from another, and the corresponding terms may or may not have the same meaning. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The term "and/or" refers to any and all possible combinations including one or more of the associated listed items. The character "/", generally indicates that the front and rear associated objects are an "or" relationship.
In the embodiment of the invention, the client can be a television, a projector or the like, or can also refer to video playing application, and a user can utilize the client to perform video watching behaviors. As shown in fig. 1, the film and television resource status identifying method includes the following steps:
step S101, identifying a film and television resource to be checked, wherein the film and television resource to be checked comprises at least one of the following: the method comprises the steps of suspected offline video resources, active video resources, video resources configured by an operation platform, video resources added by a partner of a client, and the total video resources remained in a video resource library which are traversed in sequence according to a first preset period.
When searching for video resources which possibly need to be checked whether to be offline, the video resources to be checked can be searched from the aspects of the user's video watching behavior, the operation platform, the video resource library and the like, and the priorities are as follows:
(1) And (5) suspected downloading the video resource. And analyzing and identifying suspected offline video resources from the video watching behaviors of the user.
(2) And (5) activating video resources. In real time, a user can watch a relatively large number of video resources within a period time (one period time can be selected within 1-100 minutes, such as 5 minutes), and the user can de-duplicate the active video resources within the previous period time, and take a top P (the value range of P can be 100-500, such as top 300).
(3) And (5) operating the video resources configured by the platform.
(4) And the effective video resources are added from the partner of the client in real time.
(5) The total video resources remaining in the video resource library are sequentially traversed at regular intervals (for a relatively long period of time, e.g., 1 hour to 10 days, e.g., 1 day).
In some embodiments, identifying the video asset to be inspected includes: collecting the film watching behaviors of a user from a client; and identifying suspected offline video resources according to the video watching behaviors of the user.
Optionally, the viewing behavior of the user includes event generation time, device identification, event type, and event content, wherein the event type includes: play, fast forward, fast reverse, return, homepage, full screen, etc., event content, i.e. the object of the event, e.g. play video V1, then the event content is video V1. Illustratively, the collected viewing behavior of the user is shown in table 1.
TABLE 1
| Event generation time | Device identification | Event type | Event content |
| 20210101 9:02:00 | Device D1 | Playing back | Film and television V1 |
| 20210101 9:02:01 | Device D1 | Return to | |
| 20210101 9:02:05 | Device D1 | Playing back | Film and television V2 |
| 20210101 9:01:30 | Device D2 | Playing back | Film and television V2 |
In some embodiments, identifying suspected offline video assets from the user's viewing behavior includes: generating a film and television resource related event list according to the film and television watching behavior of a user, wherein the film and television resource related event list comprises a starting playing film and television resource identifier and data corresponding to the starting playing film and television resource identifier, and the data corresponding to the starting playing film and television resource identifier comprises the number of playing next film and television resources, the number of playing next film and television resources at a first time interval, the number of exiting playing events and the number of exiting playing intervals at a second time interval; and identifying suspected offline video resources according to the video resource related event list.
Optionally, generating the movie resource related event table according to the movie watching behavior of the user includes:
(1) Processing user watching behaviors at preset interval time, and processing the user watching behaviors into a first user behavior table, wherein the first user behavior table comprises a field device identifier, a starting playing video resource identifier, a next operation event type, a next video resource playing time interval and a next operation event time interval. For example, user movie watching action logs of a certain interval time (the interval time can be selected within 1-10 minutes, such as 3 minutes) are processed in real time, each movie resource 'play' is taken as a starting time point, a next 'play' event and a next operation event are found, if no next movie resource 'play' exists, a next play movie resource mark is recorded as empty, if no next operation event exists, a next operation event type is recorded as no event, and the action log of each user is processed as a first user action table by taking the ending time point of the interval time interval as operation time, wherein the first user action table represents, for example, table 2.
TABLE 2
| Equipment label Identification device | Initial playing of video resource Identification mark | The next playing film and television resource Source identification | Next operation event Type(s) | When playing the next video resource Interval of interval | At the next operation event Interval of interval |
| Device D1 | Film and television V1 | Film and television V2 | Return to | 5 | 1 |
| Device D1 | Film and television V2 | No event | 55 | ||
| Device D2 | Film and television V2 | No event | 90 |
The starting playing video resource identifier refers to an identifier of a video resource played at a starting time point; the mark of the next playing video resource is the mark of the next playing video resource in the interval time; the next operation event type is the event type of the next operation after the film and television resource is played at the initial time point in the interval time; the time interval for playing the next video resource is the interval time between the time point for playing the next video resource and the starting time point in the interval time; the next operation event time interval is an interval time between a time point of the next operation and a start time point within the interval time.
(2) And carrying out event type classification and interval time classification processing on the first user behavior table to generate a second user behavior table, wherein the second user behavior table comprises a field device identifier, a starting video resource identifier, whether a next video resource is played, the next operation event type classification, the time interval length of playing the next video resource and the time interval length of the next operation event.
Wherein the event type classification comprises: continuing playing, exiting playing, and no event. Continuing to play the audio file comprises the following steps: fast forward, fast reverse, and full screen; exiting play includes: return to home page. The event type classification of the next operation is the event type classification corresponding to the next operation.
The time interval for playing the next video resource is as follows: the time interval is distinguished by a certain threshold (the threshold can be selected from 10-360 seconds, such as 30 seconds), and the time interval is longer than the threshold and shorter than or equal to the threshold.
The next operational event time interval is long or short: the time interval is distinguished by a certain threshold (the threshold can be selected from 1-120 seconds, such as 3 seconds), and the time interval is longer when the threshold is larger than the time interval, and shorter when the threshold is smaller than or equal to the time interval. When the next operation event type is classified as no event, only data with a time interval longer than a certain threshold (for example, more than 1 minute) is reserved, and the time interval of the next operation event is defined as long. The second user behavior table is shown in table 3, for example.
TABLE 3 Table 3
| Equipment label Identification device | Initial playing of video Resource identification | Whether or not there is a play next Film and television resource | Next operation event Type classification | When playing the next video resource The length of the interval | Next operation event time Length of interval |
| Device D1 | Film and television V1 | Has the following components | Exit play | Short length | Short length |
| Device D1 | Film and television V2 | Without any means for | No event | ||
| Device D2 | Film and television V2 | Without any means for | No event | Short length | Long length |
When the playback start video resource is identified as a video V2, the device D1 deletes the line data because the next operation event type is classified as no event and the next operation event time interval is less than 1 minute. The modified second user behavior table is shown in table 4.
TABLE 4 Table 4
| Equipment label Identification device | Initial playing of video Resource identification | Whether or not there is a play next Film and television resource | Next operation event Type classification | When playing the next video resource The length of the interval | Next operation event time Length of interval |
| Device D1 | Film and television V1 | Has the following components | Exit play | Short length | Short length |
| Device D2 | Film and television V2 | Without any means for | No event | Short length | Long length |
(3) And counting data corresponding to the initial playing video resource identifier by using the initial playing video resource identifier as an index by using the second user behavior table, and generating a video resource related event table. Illustratively, the movie resource-related event table is shown in table 5 or table 6.
TABLE 5
| Initial playing of video asset Source identification | Playing the next video resource Number of (3) | Playing the first video resource interval Number of times | Exit play event Quantity of | Exit the playing interval for a second time Number of (3) |
| Film and television V1 | 1000 | 950 | 100 | 95 |
TABLE 6
| Initial playing of video resource Identification mark | Playing the next video resource Quantity of | Not playing the next shadow Depending on the number of resources | Exit play event Quantity of | Continuing to play the event number Measuring amount | Number of no events |
| Film and television V1 | 1000 | 100 | 100 | 5 | 100 |
| Playing the next video asset The sources being spaced a third time Quantity of | Playing downFilm and television resource interval Number of first time | Exit the play interval Number of fourth time Measuring amount | Exit the play interval Number of second time Measuring amount | Continuing with playing interval Number of five times | Continuing the playing interval Number of sixth time Measuring amount |
| 50 | 950 | 5 | 95 | 4 | 1 |
Taking the initial playing video resource identifier as a video V1 as an example, after the next video resource is played, the next video resource data amount is displayed within the interval time; after the number of the next video resources which are not played is the number of the data of the next video resources which are not played in the interval time after the video V1 is played; after the number of the play-out events is the play video V1, classifying the next operation event type in the interval time as the data volume of the play-out event; after the number of the continuous playing events is the number of the playing video V1, the next operation event type is classified into the data volume of the continuous playing in the interval time; the number of the event-free is the data size of the event-free classified by the next operation event type in the interval time after the video V1 is played; after the first time interval of playing the next video resource is the playing video V1, playing the data volume with short time interval of the next video resource in the interval time; after the third time interval of the next video resource is played as the video V1, the data volume of the next video resource with the longer time interval is played in the interval time; after the second time of the play interval is the play video V1, the next operation event type is classified as play-out in the interval time, and the time interval of the next operation event is the data volume of short or long; after the fourth time of the play interval is the play video V1, the next operation event type is classified as play exit in the interval time, and the time interval of the next operation event is the data volume with long or short time interval; after the fifth time of the continuous playing interval is the playing of the video V1, the next operation event type is classified as continuous playing in the interval time, and the time interval of the next operation event is the data volume with long or short time interval; after the sixth time of the continuous playing interval is the playing of the video V1, the next operation event type is classified as continuous playing within the interval time, and the time interval of the next operation event is the data volume of short or long. The time periods of the first time interval, the second time interval, the third time interval, the fourth time interval, the fifth time interval and the sixth time interval may be the same or different, which is not limited in this embodiment of the present invention.
Optionally, identifying the suspected offline video resource according to the video resource-related event table includes:
the method comprises the following steps: and carrying out normalization processing on the data corresponding to the initial playing video resource identifier in the video resource related event table, and normalizing the data to be between 0 and 1 by using a maximum and minimum value method. And inputting the processed data into a trained film resource suspected offline model, and if the value output by the film resource suspected offline model is greater than or equal to a first threshold, judging that the film resource indicated by the initial play film resource identifier in the film resource related event table is a suspected offline film resource, wherein the film resource suspected offline model is used for predicting whether the film resource is a suspected offline film resource. The first threshold is preset according to experimental data, and can be adjusted according to actual conditions, and the first threshold can be a number greater than 0 and less than 1, for example, 0.5.
In some embodiments, the film-tv resource suspected offline model is an FM model, and if the probability of being a suspected offline film-tv resource predicted by the trained FM model is greater than or equal to 0.5 (i.e., the first threshold), it is determined that the film-tv resource is suspected to be offline, otherwise, it is determined that the film-tv resource is not suspected to be offline. The FM model can integrate binomial features, and the model training method comprises the following steps: and generating the basic data of the training film and television resource related event table, and performing model iteration and training by manually marking whether the film and television resource is the offline film and television resource.
The second method is as follows: and if the data corresponding to the initial playing video resource identifier in the video resource related event list accords with the suspected offline video resource rule, judging that the video resource indicated by the initial playing video resource identifier in the video resource related event list is the suspected offline video resource. Optionally, the suspected offline movie resource rule includes one of the following:
(1) The number of play-out next video asset at first time interval/the number of play-out next video asset > = second threshold value (the second threshold value may be a number greater than or equal to 0.5 and less than 1, such as 0.7);
(2) When the number of the play-out events is greater than or equal to a preset value (the preset value may be a number between 100 and 10000, such as 1000, which may be estimated according to different user amounts), the number of the second time of the play-out interval/the number of the play-out events > = a third threshold (the third threshold may be a number greater than or equal to 0.5 and less than 1, such as 0.7);
(3) The number of play-out intervals for the first time/the number of play-out next video asset > = fourth threshold (the fourth threshold may be a number greater than or equal to 0.3 and less than 1, such as 0.4), and the number of play-out intervals for the second time/the number of play-out events > = fifth threshold (the fifth threshold may be a number greater than or equal to 0.3 and less than 1, such as 0.4).
And S102, checking whether the film and television resource to be checked is offline or not according to the play screenshot or the play log of the film and television resource to be checked.
In some embodiments, verifying whether the movie asset to be verified is offline according to a play screenshot or a play log of the movie asset to be verified includes at least one of: if the film and television resource to be checked has a play log which is not successfully played in the playing process, judging that the film and television resource to be checked is in a offline state; if N continuous (N is a preset positive integer which can be selected from 2-10, such as 5) play screenshots containing pictures popped up abnormally during play of the to-be-checked film and television resources exist in the play screenshots, judging that the to-be-checked film and television resources are in a offline state; and if the film and television resource to be checked has a picture which is unchanged in a continuous period of time (the period of time can be 5 milliseconds to 30 seconds, such as 10 milliseconds) in the playing process, judging that the film and television resource to be checked is in a offline state. For example, as shown in fig. 2, playing the to-be-inspected movie resource for a certain time (the playing time may be set according to the actual situation, and may be a time between 1 second and 3 minutes, for example, 1 minute), and inspecting whether the to-be-inspected movie resource is offline according to the playing screenshot or the playing log of the to-be-inspected movie resource includes:
Judging whether the video resource to be checked has an unsuccessful playing log (such as the playing log of a three-party player, wherein the three-party player can be an loving art, a Tech, a you cool and the like) in the playing process, and judging that the video resource to be checked is in a offline state if the video resource to be checked has the unsuccessful playing log in the playing process; otherwise, obtaining the screenshot of the film and television resource to be checked according to a certain frequency (the range can be 1 time/1000 ms to 1 time/100 ms, such as 1 time/500 ms, which can be set according to the actual situation).
Judging whether a plurality of consecutive (such as 5) play screen shots containing the play abnormal popped pictures exist in the obtained play screen shots, optionally, carrying out character recognition on non-subtitle and non-barrage areas in the play screen shots by utilizing an image OCR recognition technology, and judging whether relevant logs of play abnormal such as 'offline', 'collapse', 'abnormal' and the like are contained in the recognized characters. If the obtained playing screenshot contains 5 continuous playing screenshots containing the images popped up abnormally, judging that the film and television resource to be checked is in a offline state; otherwise, judging whether the film and television resource to be checked has a picture which is unchanged in a continuous period of time in the playing process according to the obtained playing screenshot.
If the video resource to be checked has unchanged pictures within a continuous period of time in the playing process, for example, continuous (2-50, for example, 20) playing screenshots are all highly similar, judging that the video resource to be checked is in a offline state; otherwise, judging that the film and television resource to be checked is in a normal state. The method for judging the high similarity of the play screenshot comprises the following steps: acquiring two continuous screen shots A and B from the play screen shots; removing pixel areas at the top of screenshot A and screenshot B that contain status bar portions (e.g., projection or television top may contain system status bars); obtaining RGB values of a screenshot A and a screenshot B of a pixel area with a status bar part at the top removed, and converting the RGB values into a gray image; processing the gray level image by using a maximum pooling method (such as maximum pooling of 16×16); judging the ratio between the cross correlation between the screenshot A and the screenshot B after the processing and the autocorrelation between the screenshot A, and judging the screenshot A and the screenshot B to be highly similar if the ratio is larger than or equal to a sixth threshold (the sixth threshold can be a number between 0.5 and 1, such as 0.95).
It should be noted that, in the flow shown in fig. 2, the sequence of each judgment can be adjusted according to the actual requirement, and the method for judging the similarity of the playing screenshot is not limited in the embodiment of the invention.
Optionally, before step S102, the related data of the to-be-inspected video asset may be sent to an inspection device, where the inspection device may be a television, a projector, or other devices capable of playing video, so that the inspection device plays the to-be-inspected video asset, and returns a play screenshot or a play log of the to-be-inspected video asset. In some embodiments, as shown in fig. 3, issuing data of a movie resource to be inspected to an inspection apparatus includes:
firstly, judging whether the film and television resource to be checked needs to be subjected to offline judgment. If the identified or distributed video resource has been processed within a certain time (for example, 10 minutes), the video resource is not distributed/processed, and the process is ended; otherwise, the next step is carried out.
Secondly, the information of the film and television resources to be checked is sent to a message queue (such as kafka/robitmq and the like), and the data of the target checked film and television resources are acquired from the message queue according to the priority of the film and television resources. Illustratively, priorities of movie resources include, but are not limited to: the suspected offline video resource > active video resource > video resource configured by the operation platform > video resource increased by the partner of the client, and the total video resources remained in the video resource library which are traversed in sequence according to a preset period.
And thirdly, translating the related data (including the video resource identification, the video resource playing opening mode and the like) of the target checking video resource into a protocol instruction which can be played by the checking equipment, and transmitting the protocol instruction to the checking equipment through a long connecting channel with the machine. It should be noted that there is a related long connection processing procedure in the inspection apparatus.
Optionally, after the test result is obtained in step S102, a corresponding process may be performed according to the test result, for example: if the video resource to be checked is checked to be in the offline state and is in the normal state in the original library, the video resource to be checked is changed to be in the offline state, and an operator is notified (e.g. notified through mail); if the video resource to be checked is checked to be in an on-line state and in the original library to be in an off-line state, notifying an operator to process; if the checking result is unchanged from the state in the original library, the checking result is not processed.
Based on the same inventive concept as the method for improving the data transmission rate, the embodiment of the invention also provides a video resource status recognition device, which comprises: the to-be-inspected movie resource identification module is used for identifying to-be-inspected movie resources, and the to-be-inspected movie resources comprise at least one of the following: suspected offline video resources, active video resources, video resources configured by an operation platform, video resources added by a partner of a client, and the total video resources remained in a video resource library which are traversed in sequence according to a first preset period; and the film and television resource offline checking module is used for checking whether the film and television resource to be checked is offline according to the play screenshot or the play log of the film and television resource to be checked.
Optionally, the film and television resource to be inspected includes a suspected offline film and television resource, and the film and television resource identification module to be inspected includes: the user film watching behavior collecting module is used for collecting film watching behaviors of a user from the client; and the suspected offline video resource analysis module is used for identifying suspected offline video resources according to the video watching behaviors of the user.
Optionally, the film and television resource identification module to be checked includes: the active video resource analysis module is used for identifying the P-bit active video resources with the top ranking number watched by the user within a second preset period time; the video resource processing module is configured for identifying video resources configured by the operation platform; the newly added film and television resource processing module is used for identifying the film and television resources added by the cooperation side of the client; and the full-volume video resource processing module is used for traversing the remaining full-volume video resources in the video resource library in sequence according to the first preset period. The newly added video resource processing module and the full-volume video resource processing module can identify corresponding video resources from the video resource library synchronization module.
Optionally, the movie resource status identifying device further includes: the film and television resource checking and distributing module is used for sending the film and television resource information to be checked to the message queue if the film and television resource to be checked needs to be subjected to offline judgment; acquiring data of the target inspection film and television resource from the message queue according to the priority of the film and television resource; the data of the target inspection film and television resource is translated into protocol instructions which can be executed by the inspection equipment and is issued to the inspection equipment.
Optionally, the movie resource status identifying device further includes: the film and television resource state processing module is used for changing the film and television resource to be checked into the offline state and notifying operators if the film and television resource to be checked is checked into the offline state and is in a normal state in the original library; and if the film and television resource to be checked is checked to be in an on-line state and in the original library to be in an off-line state, notifying an operator to process. The schematic structure of the video resource status recognition device is shown in fig. 4.
Based on the same inventive concept as the method for improving the data transmission rate, the embodiment of the invention also provides a video resource state recognition device, which comprises a processor and a memory, wherein the memory stores instructions executable by the processor, and the instructions are loaded and executed by the processor so as to realize the video resource state recognition method related to the embodiment.
In addition, the embodiment of the invention also provides a computer readable storage medium, which stores a computer program, and the computer program realizes the film and television resource state identification method related to the embodiment when being executed by a processor.
It should be understood that, in various embodiments of the present invention, the sequence number of each process described above does not mean that the execution sequence of some or all of the steps may be executed in parallel or executed sequentially, and the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus, device and module described above may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein. In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. The modules described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, each functional module in each embodiment of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more modules may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device or a terminal, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: u disk, removable hard disk, ROM, RAM) disk or optical disk, etc.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are 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 (17)
1. A method for identifying the status of video resources, comprising the steps of:
identifying a movie resource to be inspected, the movie resource to be inspected including at least one of: suspected offline video resources, active video resources, video resources configured by an operation platform, video resources added by a partner of a client, and the total video resources remained in a video resource library which are traversed in sequence according to a first preset period;
checking whether the film and television resource to be checked is offline according to a play screenshot or a play log of the film and television resource to be checked;
the film and television resource to be checked comprises a suspected offline film and television resource, and the identifying the film and television resource to be checked comprises:
collecting the watching behaviors of a user from a client, wherein the watching behaviors of the user comprise event generation time, equipment identification, event type and event content;
generating a film and television resource related event table according to the film and television watching behavior of a user, wherein the film and television resource related event table comprises a starting playing film and television resource identifier and data corresponding to the starting playing film and television resource identifier, and the data corresponding to the starting playing film and television resource identifier comprises any one or more of the following: the number of the next video resource, the number of the first time interval for playing the next video resource, the number of the play exit event and the number of the second time interval for exiting the play interval are played;
And identifying suspected offline video resources according to the video resource related event list.
2. The method for identifying a status of a movie resource according to claim 1, wherein the generating a movie resource-related event table according to a movie viewing behavior of a user comprises:
processing user watching behaviors at preset interval time, and processing the user watching behaviors into a first user behavior table, wherein the first user behavior table comprises field equipment identifiers and any one or more of the following fields: a video resource identifier is initially played, a video resource identifier is played next, an operation event type is played next, a video resource time interval is played next, and an operation event time interval is played next;
performing event type classification and interval time classification processing on the first user behavior table to generate a second user behavior table, wherein the second user behavior table comprises field equipment identifiers and any one or more of the following fields: a video resource identifier is initially played, whether a next video resource is played, the type of a next operation event is classified, the time interval of playing the next video resource and the time interval of the next operation event are long and short;
and counting data corresponding to the initial playing video resource identifier by using the initial playing video resource identifier as an index by using the second user behavior table, and generating a video resource related event table.
3. The method for identifying a status of a video asset according to claim 1, wherein said identifying a suspected video asset to be offline according to said video asset-related event table comprises:
normalizing the data corresponding to the initial playing video resource identifier in the video resource related event table, inputting the processed data into a trained video resource suspected offline model, and if the value output by the video resource suspected offline model is greater than or equal to a first threshold value, judging that the video resource indicated by the initial playing video resource identifier in the video resource related event table is suspected offline video resource, wherein the video resource suspected offline model is used for predicting whether the video resource is suspected offline video resource; or,
and if the data corresponding to the initial playing video resource identifier in the video resource related event list accords with the suspected offline video resource rule, judging that the video resource indicated by the initial playing video resource identifier in the video resource related event list is the suspected offline video resource.
4. A video asset status identification method as defined in claim 3, wherein said suspected offline video asset rule comprises one of:
The number of play-out next video asset at first time interval/the number of play-out next video asset > = second threshold;
when the number of the exit playing events is greater than or equal to a preset value, the number of the exit playing intervals at the second time/the number of the exit playing events > = a third threshold value;
the number of play-out next video asset intervals first time/number of play-out next video asset > = fourth threshold, and the number of exit play-out intervals second time/number of exit play-out events > = fifth threshold.
5. The method for identifying the status of video resources according to claim 2, wherein the event types include play, fast forward, fast reverse, return, homepage and full screen; the event type classification comprises continuous playing, exiting playing and no event, wherein the continuous playing comprises fast forward, fast backward and full screen, and the exiting playing comprises returning and homepage.
6. The method for identifying a status of a video asset according to claim 1, wherein the data corresponding to the start-play video asset identifier further comprises any one or more of: the number of movie resources that are not playing the next, the number of movie resources that are playing the next, the number of events that continue to play, the number of no events, the number of times that exit the play interval, the number of times that continue to play the fifth time, and the number of times that continue to play the sixth time.
7. The method for identifying a status of a video asset according to claim 1, wherein said checking whether the video asset to be checked is offline according to a play screenshot or a play log of the video asset to be checked comprises at least one of:
if the film and television resource to be checked has a play log which is not successfully played in the playing process, judging that the film and television resource to be checked is in a offline state;
if the playing screenshot of the film and television resource to be checked contains continuous N playing screenshots containing the images popped up abnormally, judging that the film and television resource to be checked is in a offline state, wherein N is a preset positive integer;
and if the video resource to be checked has a picture which is unchanged in a continuous period of time in the playing process, judging that the video resource to be checked is in a offline state.
8. The method for identifying a status of a video asset according to claim 1, wherein said checking whether the video asset to be checked is offline according to a play screenshot or a play log of the video asset to be checked comprises:
judging whether the video resource to be checked has an unsuccessful playing log in the playing process, and if the video resource to be checked has an unsuccessful playing log in the playing process, judging that the video resource to be checked is in a offline state; otherwise, obtaining a play screenshot of the film and television resource to be checked according to a preset frequency;
Judging whether N consecutive play screenshots containing the pictures popped up abnormally during play exist in the obtained play screenshots, wherein N is a preset positive integer, and judging that the film and television resource to be checked is in a offline state if the N consecutive play screenshots containing the pictures popped up abnormally during play exist in the obtained play screenshots;
judging whether the film and television resource to be checked has a picture unchanged in a continuous period of time in the playing process according to the obtained playing screenshot; if the video resource to be checked has a picture which is unchanged in a continuous period of time in the playing process, judging that the video resource to be checked is in a offline state; otherwise, judging that the film and television resource to be checked is in a normal state.
9. The method for identifying a status of a video asset according to claim 8, wherein determining whether there are N consecutive shots of the obtained shots of the video asset, the consecutive shots including abnormally popped pictures of the video asset includes:
and carrying out character recognition on the non-subtitle and non-barrage areas in the play screenshot, and judging whether the recognized characters contain relevant logs of abnormal play.
10. The method for identifying a status of a video asset according to claim 8, wherein said determining whether the video asset to be inspected has an unchanged frame for a continuous period of time during the playing process according to the obtained screenshot comprises:
If the continuous M playing screenshots are highly similar, judging that the to-be-checked film and television resource has unchanged pictures within a continuous period of time in the playing process, wherein M is a preset positive integer.
11. The method for identifying a status of a video asset according to claim 10, wherein the method for determining that the playback shots are highly similar comprises:
acquiring two continuous screen shots A and B from the play screen shots;
removing pixel areas containing status bar parts at the tops of the screenshot A and the screenshot B; obtaining RGB values of a screenshot A and a screenshot B of a pixel area with a status bar part at the top removed, and converting the RGB values into a gray image; processing the gray level image by adopting a maximum pooling method; judging the ratio of the cross correlation between the screenshot A and the screenshot B after the processing to the autocorrelation between the screenshot A, and judging the screenshot A and the screenshot B to be highly similar if the ratio is larger than or equal to a sixth threshold.
12. The method according to claim 1, further comprising, after said identifying the video asset to be inspected and before said inspecting whether the video asset to be inspected is offline according to a play screenshot or a play log of the video asset to be inspected:
Issuing the data of the film and television resource to be inspected to inspection equipment;
and obtaining a play screenshot or a play log of the to-be-inspected film and television resource played by the inspection equipment.
13. The method for identifying the status of a video asset as defined in claim 12, wherein said issuing the data of the video asset to be inspected to the inspection device comprises:
if the film and television resource to be checked needs to be judged in a offline mode, the film and television resource information to be checked is sent to a message queue;
acquiring data of the target inspection film and television resource from the message queue according to the priority of the film and television resource;
the data of the target inspection film and television resource is translated into protocol instructions which can be executed by the inspection equipment and is issued to the inspection equipment.
14. The method for identifying a status of a video resource according to claim 13, wherein the priority of the video resource comprises: the suspected offline video resource > active video resource > video resource configured by the operation platform > video resource increased by the partner of the client, and the total video resources remained in the video resource library are traversed sequentially according to a first preset period.
15. The method for identifying a status of a video asset according to claim 1, further comprising, after said verifying whether said video asset to be verified is offline according to a play screenshot or a play log of said video asset to be verified:
If the video resource to be checked is checked to be in the offline state, and the video resource to be checked is in the normal state in the original library, changing the video resource to be checked to be in the offline state, and notifying an operator;
and if the film and television resource to be checked is checked to be in an on-line state and in the original library to be in an off-line state, notifying an operator to process.
16. A video asset status identification apparatus comprising a processor and a memory having stored therein instructions executable by the processor, the instructions being loaded and executed by the processor to implement the video asset status identification method of any one of claims 1 to 15.
17. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the video resource status identifying method of any one of claims 1-15.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110921963.5A CN113515670B (en) | 2021-08-12 | 2021-08-12 | Film and television resource state identification method, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110921963.5A CN113515670B (en) | 2021-08-12 | 2021-08-12 | Film and television resource state identification method, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113515670A CN113515670A (en) | 2021-10-19 |
| CN113515670B true CN113515670B (en) | 2023-09-26 |
Family
ID=78069045
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110921963.5A Active CN113515670B (en) | 2021-08-12 | 2021-08-12 | Film and television resource state identification method, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113515670B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113938741B (en) * | 2021-12-08 | 2023-08-11 | 聚好看科技股份有限公司 | Server and media asset playing exception handling method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007334004A (en) * | 2006-06-15 | 2007-12-27 | Fuji Xerox Co Ltd | Image projecting device, information processing system, image projecting method, and information processing method |
| US9195829B1 (en) * | 2013-02-23 | 2015-11-24 | Fireeye, Inc. | User interface with real-time visual playback along with synchronous textual analysis log display and event/time index for anomalous behavior detection in applications |
| CN106791517A (en) * | 2016-11-21 | 2017-05-31 | 广州爱九游信息技术有限公司 | Live video detection method, device and service end |
| CN108133359A (en) * | 2018-01-17 | 2018-06-08 | 北京网信云服信息科技有限公司 | A kind of attendance management method and device |
| CN110113630A (en) * | 2019-06-19 | 2019-08-09 | 北京达佳互联信息技术有限公司 | Video detecting method, device, electronic equipment and storage medium |
| CN110134828A (en) * | 2019-04-29 | 2019-08-16 | 北京物资学院 | A kind of video undercarriage detection method and device |
| CN110309829A (en) * | 2019-07-01 | 2019-10-08 | 成都极米科技股份有限公司 | The on-line monitoring method, apparatus and readable storage medium storing program for executing of the resources of movie & TV undercarriage |
| CN111385591A (en) * | 2018-12-28 | 2020-07-07 | 阿里巴巴集团控股有限公司 | Network live broadcast method, live broadcast processing method and device, live broadcast server and terminal equipment |
| CN111866553A (en) * | 2020-07-24 | 2020-10-30 | 聚好看科技股份有限公司 | Media information calibration method and server |
| CN112583801A (en) * | 2020-12-02 | 2021-03-30 | 张仕文 | Network abnormal behavior detection system and method based on big data |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108011934B (en) * | 2017-11-24 | 2021-10-01 | 聚好看科技股份有限公司 | Method and device for processing resource data |
-
2021
- 2021-08-12 CN CN202110921963.5A patent/CN113515670B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007334004A (en) * | 2006-06-15 | 2007-12-27 | Fuji Xerox Co Ltd | Image projecting device, information processing system, image projecting method, and information processing method |
| US9195829B1 (en) * | 2013-02-23 | 2015-11-24 | Fireeye, Inc. | User interface with real-time visual playback along with synchronous textual analysis log display and event/time index for anomalous behavior detection in applications |
| CN106791517A (en) * | 2016-11-21 | 2017-05-31 | 广州爱九游信息技术有限公司 | Live video detection method, device and service end |
| CN108133359A (en) * | 2018-01-17 | 2018-06-08 | 北京网信云服信息科技有限公司 | A kind of attendance management method and device |
| CN111385591A (en) * | 2018-12-28 | 2020-07-07 | 阿里巴巴集团控股有限公司 | Network live broadcast method, live broadcast processing method and device, live broadcast server and terminal equipment |
| CN110134828A (en) * | 2019-04-29 | 2019-08-16 | 北京物资学院 | A kind of video undercarriage detection method and device |
| CN110113630A (en) * | 2019-06-19 | 2019-08-09 | 北京达佳互联信息技术有限公司 | Video detecting method, device, electronic equipment and storage medium |
| CN110309829A (en) * | 2019-07-01 | 2019-10-08 | 成都极米科技股份有限公司 | The on-line monitoring method, apparatus and readable storage medium storing program for executing of the resources of movie & TV undercarriage |
| CN111866553A (en) * | 2020-07-24 | 2020-10-30 | 聚好看科技股份有限公司 | Media information calibration method and server |
| CN112583801A (en) * | 2020-12-02 | 2021-03-30 | 张仕文 | Network abnormal behavior detection system and method based on big data |
Non-Patent Citations (4)
| Title |
|---|
| Real-Time Anomaly Detection and Feature Analysis Based on Time Series for Surveillance Video;Ruoyu Xue等;《2020 5th International Conference on Universal Village》;1-7 * |
| Yuan Gao,et al.An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection.IEEE Transactions on Multimedia.2020,第23卷第784 – 796页. * |
| 基于灰度与关键帧光流检测的视频异常判断;张霞等;《电子器件》;第42卷(第3期);718-721 * |
| 郭东海.IPTV日志数据分析系统的设计与实现.《广播电视网络》.2020,(第2期),第84-87页. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113515670A (en) | 2021-10-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110213610B (en) | Live broadcast scene recognition method and device | |
| JP6449351B2 (en) | Data mining to identify online user response to broadcast messages | |
| CN108366278B (en) | User interaction implementation method and device in video playing | |
| KR102112973B1 (en) | Estimating and displaying social interest in time-based media | |
| CN109862397B (en) | Video analysis method, device, equipment and storage medium | |
| CN101425135B (en) | Real time new elevent detecting device and method for vedio stream | |
| CN111797752A (en) | Illegal video detection method, device, equipment and storage medium | |
| CN107835439B (en) | Bullet screen pushing method, electronic equipment and computer readable storage medium | |
| US20170171335A1 (en) | Advertising push methods, devices, video servers and terminal equipment | |
| CN111046292A (en) | Live broadcast recommendation method and device, computer-readable storage medium and electronic device | |
| US20170169062A1 (en) | Method and electronic device for recommending video | |
| CN105323531A (en) | Video conference hot spot scene detection method and device | |
| CN113407773A (en) | Short video intelligent recommendation method and system, electronic device and storage medium | |
| CN114245222A (en) | Bullet screen display method and device, electronic equipment and medium | |
| CN113515670B (en) | Film and television resource state identification method, equipment and storage medium | |
| CN111354013A (en) | Target detection method and device, equipment and storage medium | |
| CN114880458A (en) | Book recommendation information generation method, device, equipment and medium | |
| CN110602483B (en) | Video fault determination method, device and computer readable storage medium | |
| CN107330069B (en) | Multimedia data processing method and device, server and storage medium | |
| CN114283349A (en) | Data processing method and device, computer equipment and storage medium | |
| CN114095738A (en) | Video and live broadcast processing method, live broadcast system, electronic device, terminal and medium | |
| CN104834728B (en) | A kind of method for pushing and device for subscribing to video | |
| CN112788356A (en) | Live broadcast auditing method, device, server and storage medium | |
| CN115955577A (en) | Comment processing method and device, computing device and computer storage medium | |
| CN117217831B (en) | Advertisement putting method and device, storage medium and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 610000 building 4, zone a, Tianfu Software Park, No. 1129, shijicheng Road, high tech Zone, Chengdu, Sichuan Applicant after: Jimi Technology Co.,Ltd. Address before: 610041 building 4, zone a, Tianfu Software Park, No. 1129, shijicheng Road, high tech Zone, Chengdu, Sichuan Applicant before: Chengdu Jimi Technology Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |