CN113160083A - Media asset video cover map optimization method, device, equipment and storage medium - Google Patents
Media asset video cover map optimization method, device, equipment and storage medium Download PDFInfo
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- CN113160083A CN113160083A CN202110416736.7A CN202110416736A CN113160083A CN 113160083 A CN113160083 A CN 113160083A CN 202110416736 A CN202110416736 A CN 202110416736A CN 113160083 A CN113160083 A CN 113160083A
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- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000005457 optimization Methods 0.000 title claims description 9
- 238000004590 computer program Methods 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 10
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000009432 framing Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 4
- 238000000605 extraction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
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- 238000013024 troubleshooting Methods 0.000 description 1
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/04—Context-preserving transformations, e.g. by using an importance map
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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Abstract
The invention relates to the technical field of video correlation, in particular to a method, a device, equipment and a storage medium for optimizing a media asset video cover map. The method for optimizing the media asset video cover map comprises the following steps: acquiring an original cover drawing and a standby drawing; detecting whether the original cover picture is black or not; if the original cover picture is black, the non-black picture in the alternative picture is the target cover picture; and if the original cover picture is not black, the original cover picture and the object cover picture are taken. According to the scheme, the black picture identification service is called, whether the black picture is the original cover picture is automatically identified, the original cover picture is automatically replaced, the black original cover picture is displayed, the operation is convenient, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of video correlation, in particular to a method, a device, equipment and a storage medium for optimizing a media asset video cover map.
Background
At present, video application topics (such as national celebration topics, mid-autumn topics and combination of a plurality of videos in the topics) have automatic and manual adding modes, the automatic adding mode is a label set by an operator according to the needs of the topics, the videos which hit the current label are automatically selected to be in the topics, however, the front cover of a media library video is a black picture, after the automatic topics are set, the user experience is poor when the application is displayed, and the operation is needed to perform troubleshooting, so that the operation is inconvenient.
Disclosure of Invention
In view of the above, a method, an apparatus, a device and a storage medium for optimizing a media asset video cover map are provided to solve the problems in the related art.
The invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a method for optimizing a media asset video cover map, where the method includes:
acquiring an original cover drawing and a standby drawing;
detecting whether the original cover picture is black or not;
if the original cover picture is black, the non-black picture in the alternative picture is the target cover picture;
and if the original cover picture is not black, the original cover picture and the object cover picture are taken.
Optionally, the original cover map is a video original cover map automatically acquired when the media asset video is put in storage.
Optionally, the standby graph is obtained by performing picture frame extraction in the warehoused media asset video according to a preset rule.
Optionally, the number of the standby graphs is multiple.
Optionally, the non-black image in the standby image is an object cover image;
detecting whether the standby images are black one by one through a preset detection method;
if the standby map is not black, determining the standby map which is black as the object cover map;
optionally, the preset detection method includes;
carrying out binarization segmentation on a picture to be detected to obtain a binarization picture;
calculating the edge of the binarization picture to obtain an edge picture; the edges comprise vertically oriented edges and horizontally oriented edges;
calculating the edge length ratio of the edge picture and the pixel mean value in the edge;
cutting the picture to be detected according to the edge of the edge picture by adopting an NSM algorithm to obtain a target area;
counting a color histogram of the picture to be detected, and calculating a standard deviation of the color histogram;
when the standard deviation is greater than or equal to 1024, determining that the picture to be detected is black;
and when the standard deviation is less than 1024, determining that the picture to be detected is not black.
Optionally, the method further includes:
if the original cover map is black and the non-black map in the standby map is the target cover map, the mark is marked to be not approved for manual replacement uploading in operation.
In a second aspect, the present application provides a media asset video cover map optimization apparatus, including:
the acquisition module is used for acquiring an original cover picture and a standby picture;
the detection module is used for detecting whether the original cover picture is black or not;
the determining module is used for taking a non-black image in the alternative image as a target cover image if the original cover image is black; and if the original cover picture is not black, the original cover picture and the object cover picture are taken.
In a third aspect, the present application provides a media asset video cover map optimizing device, including:
a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the media asset video cover page map optimization method provided by the application;
the processor is used for calling and executing the computer program in the memory.
In a fourth aspect, the present application provides a storage medium storing a computer program, which when executed by a processor, implements the steps of the method for optimizing a media asset video cover map as provided in the present application.
According to the technical scheme, the method comprises the steps of firstly obtaining an original cover drawing and a standby drawing; detecting whether the original cover picture is black or not; if the original cover picture is black, the non-black picture in the alternative picture is the target cover picture; and if the original cover picture is not black, the original cover picture and the object cover picture are taken. According to the scheme, the black picture identification service is called, whether the black picture is the original cover picture is automatically identified, the original cover picture is automatically replaced, the black original cover picture is displayed, the operation is convenient, and the user experience is improved.
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 flowchart of a method for optimizing a media asset video cover map according to an embodiment of the present invention;
FIG. 2 is a partial flow chart of a method for optimizing a media asset video cover map according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an apparatus for optimizing a video cover map of a media asset according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a media asset video cover map optimizing device according to an embodiment of the present invention.
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.
Firstly, an application scene of the embodiment of the invention is explained, when a front main stream media asset video is put in storage, the flows of file analysis, transcoding, screenshot, watermarking and the like are sequentially carried out, an original cover picture of the video is automatically obtained, picture frame extraction is carried out in the video according to a certain rule to be used as an alternative picture of the cover picture, and when the cover picture is found to be a black picture during manual review of the video, the alternative picture is selected for replacement, so that the efficiency problem of the video on application is brought to quick display, and the time and labor consumption of manual picture replacement during operation are high, and the labor cost is high. Based on the technical scheme, the invention provides a solution, which solves the problem that when the application refers to the media asset video through the label, the video is influenced to watch and use in the application because the front cover image of the video appearing in the automatic media asset storage screenshot is black. According to the scheme, when the media asset video is put in storage and transcoded, the first picture calls a black picture identification service, the picture with the black initial cover picture is automatically identified, and the picture is automatically replaced. The service of automatically intercepting and replacing the black picture is provided, and the user experience is improved.
Examples
FIG. 1 is a flowchart of a method for optimizing a media asset video cover map according to an embodiment of the present invention; referring to fig. 1, the method may specifically include the following steps:
s101, acquiring an original cover drawing and a standby drawing;
the original cover picture is a video original cover picture automatically acquired when the media asset video is put in storage.
The standby picture is obtained by performing picture frame extraction in the warehoused media asset video according to a preset rule. Wherein, the number of the standby graphs is a plurality.
S102, detecting whether the original cover picture is black or not;
s103, if the original cover picture is black, a non-black picture in the alternative picture is a target cover picture;
and S104, if the original cover picture is not black, obtaining the object cover picture of the original cover picture.
Specifically, referring to fig. 2, in the scheme provided by the application, when an original media asset video is put in storage, a picture detection service is added on the basis of original transcoding, key frame analysis and screenshot service;
transcoding: processing video into media library standard format (resolution, bit rate, video format)
And key frame analysis: the method is used for detecting pictures of different frames in the video and providing support for screenshot service;
screenshot: screenshot is carried out through the positioned key frames, the current strategy of a media asset library is adopted, the original cover picture of the video is intercepted, and 5 pictures are randomly extracted from the video to serve as standby pictures;
detecting pictures: detecting a screenshot picture, wherein a front cover picture is preferred, and then a standby picture is selected;
based on the technical scheme, the method and the device for achieving the video editing have the advantages that when the application refers to the media asset videos through the tags, the problem that the watching and using of the videos in the application are affected due to the fact that a cover page image of the videos appearing in the automatic media asset storage screenshot is black is solved. According to the scheme, when the media asset video is put in storage and transcoded, the first picture calls a black picture identification service, the picture with the black initial cover picture is automatically identified, and the picture is automatically replaced. The service of automatically intercepting and replacing the black picture is provided, and the user experience is improved.
Furthermore, the non-black image in the standby image is an object cover image;
detecting whether the standby images are black one by one through a preset detection method;
if the standby map is not black, determining the standby map which is black as the object cover map;
the preset detection method comprises the following steps;
carrying out binarization segmentation on a picture to be detected to obtain a binarization picture;
calculating the edge of the binarization picture to obtain an edge picture; the edges comprise vertically oriented edges and horizontally oriented edges;
calculating the edge length ratio of the edge picture and the pixel mean value in the edge;
cutting the picture to be detected according to the edge of the edge picture by adopting an NSM algorithm to obtain a target area;
counting a color histogram of the picture to be detected, and calculating a standard deviation of the color histogram;
when the standard deviation is greater than or equal to 1024, determining that the picture to be detected is black;
and when the standard deviation is less than 1024, determining that the picture to be detected is not black.
It should be noted that, the solutions provided in the present application are only exemplary solutions, and are not limited, and there are other types of methods for detecting whether a picture is black. The scheme provided by the application is mainly used for removing pictures which cannot bring prompt information to audiences, namely: and removing the black picture.
The method for optimizing the media asset video cover map further comprises the following steps:
if the original cover map is black and the non-black map in the standby map is the target cover map, the mark is marked to be not approved for manual replacement uploading in operation.
It should be noted that, in the scheme provided by the present application, the number of books for preparing the drawings may be 5, and based on the above description, the method for optimizing a media asset video cover map provided by the present application includes the following steps:
detecting a cover map;
detecting whether the original cover picture is black or not; if the original cover picture is not black, determining that the original cover picture is the target cover picture;
if the original cover picture is black, detecting whether the first standby picture is black; if the first standby image is not black, determining that the first standby image is a target cover image;
if the first standby image is black, detecting whether the second standby image is black; if the second standby image is not black, determining that the second standby image is a target cover image;
if the second standby image is black, detecting whether the third standby image is black; if the third standby image is not black, determining that the third standby image is a target cover image;
if the third standby image is black, detecting whether the fourth standby image is black; if the fourth standby image is not black, determining that the fourth standby image is a target cover image;
if the fourth standby image is black, detecting whether the fifth standby image is black; if the fifth standby image is not black, determining that the fifth standby image is a target cover picture;
and if the fifth standby image is black, marking the video to be put in storage and not to be approved so as to allow related personnel to manually replace the target cover image.
FIG. 3 is a schematic structural diagram of an apparatus for optimizing a video cover map of a media asset according to an embodiment of the present invention; referring to fig. 3, the apparatus for optimizing a cover map of a media asset video provided by the present application includes:
an obtaining module 31, configured to obtain an original cover drawing and a standby drawing;
the detection module 32 is used for detecting whether the original cover image is black or not;
a determining module 33, configured to, if the original cover map is black, use a non-black map in the alternative map as the target cover map; and if the original cover picture is not black, the original cover picture and the object cover picture are taken.
Fig. 4 is a schematic structural diagram of a media asset video cover map optimizing device according to an embodiment of the present invention.
Referring to fig. 4, the present application provides a media asset video cover map optimization device, including:
a processor 41, and a memory 42 connected to the processor;
the memory 42 is used for storing a computer program, and the computer program is at least used for executing the media asset video cover map optimization method provided by the application;
the processor is used for calling and executing the computer program in the memory.
The present application further provides a storage medium storing a computer program, and the computer program, when executed by a processor, implements the steps in the media asset video cover map optimization method provided in the present application.
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 the terms "first," "second," and the like in the description of the present invention 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 invention, 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 alternate implementations are included within the scope of the preferred embodiment of the present invention 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 invention.
It should be understood that portions of the present invention 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 invention 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, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A media asset video cover map optimization method is characterized by comprising the following steps:
acquiring an original cover drawing and a standby drawing;
detecting whether the original cover picture is black or not;
if the original cover picture is black, the non-black picture in the alternative picture is the target cover picture;
and if the original cover picture is not black, the original cover picture and the object cover picture are taken.
2. The method of claim 1, wherein the original cover map is a video original cover map automatically acquired when the media asset video is put in storage.
3. The method of claim 1, wherein the standby graph is obtained by performing picture framing within the warehoused media asset video according to a preset rule.
4. The method of optimizing media asset video cover map of claim 1, wherein the number of standby maps is plural.
5. The method of claim 1, wherein the non-black image in the standby image is an object cover image;
detecting whether the standby images are black one by one through a preset detection method;
if the standby map is not black, determining that the standby map which is black is the object cover map.
6. The method of optimizing a video cover map of media assets of claim 5, wherein the predetermined detection method comprises;
carrying out binarization segmentation on a picture to be detected to obtain a binarization picture;
calculating the edge of the binarization picture to obtain an edge picture; the edges comprise vertically oriented edges and horizontally oriented edges;
calculating the edge length ratio of the edge picture and the pixel mean value in the edge;
cutting the picture to be detected according to the edge of the edge picture by adopting an NSM algorithm to obtain a target area;
counting a color histogram of the picture to be detected, and calculating a standard deviation of the color histogram;
when the standard deviation is greater than or equal to 1024, determining that the picture to be detected is black;
and when the standard deviation is less than 1024, determining that the picture to be detected is not black.
7. The method of optimizing a media asset video cover map of claim 1, further comprising:
if the original cover map is black and the non-black map in the standby map is the target cover map, the mark is marked to be not approved for manual replacement uploading in operation.
8. A media asset video cover map optimization device, comprising:
the acquisition module is used for acquiring an original cover picture and a standby picture;
the detection module is used for detecting whether the original cover picture is black or not;
the determining module is used for taking a non-black image in the alternative image as a target cover image if the original cover image is black; and if the original cover picture is not black, the original cover picture and the object cover picture are taken.
9. An apparatus for optimizing a video cover map of a media asset, comprising:
a processor, and a memory coupled to the processor;
the memory is configured to store a computer program for performing at least the method of optimizing a media asset video cover map of any of claims 1-7;
the processor is used for calling and executing the computer program in the memory.
10. A storage medium storing a computer program which, when executed by a processor, performs the steps of the method for optimizing a video cover map of a media asset of any one of claims 1-7.
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| CN202110416736.7A CN113160083A (en) | 2021-04-19 | 2021-04-19 | Media asset video cover map optimization method, device, equipment and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113535993A (en) * | 2021-07-30 | 2021-10-22 | 北京字跳网络技术有限公司 | Work cover display method, device, medium and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107886518A (en) * | 2017-11-23 | 2018-04-06 | 广州优视网络科技有限公司 | Picture detection method, device, electronic equipment and read/write memory medium |
| US20190102895A1 (en) * | 2017-10-02 | 2019-04-04 | Wistron Corporation | Image processing method, image processing device and computer readable storage medium |
| CN110399848A (en) * | 2019-07-30 | 2019-11-01 | 北京字节跳动网络技术有限公司 | Video cover generation method, device and electronic equipment |
| CN111970556A (en) * | 2020-08-21 | 2020-11-20 | 广州欢网科技有限责任公司 | Method and device for processing black edge of video picture |
-
2021
- 2021-04-19 CN CN202110416736.7A patent/CN113160083A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190102895A1 (en) * | 2017-10-02 | 2019-04-04 | Wistron Corporation | Image processing method, image processing device and computer readable storage medium |
| CN107886518A (en) * | 2017-11-23 | 2018-04-06 | 广州优视网络科技有限公司 | Picture detection method, device, electronic equipment and read/write memory medium |
| CN110399848A (en) * | 2019-07-30 | 2019-11-01 | 北京字节跳动网络技术有限公司 | Video cover generation method, device and electronic equipment |
| CN111970556A (en) * | 2020-08-21 | 2020-11-20 | 广州欢网科技有限责任公司 | Method and device for processing black edge of video picture |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113535993A (en) * | 2021-07-30 | 2021-10-22 | 北京字跳网络技术有限公司 | Work cover display method, device, medium and electronic equipment |
| WO2023005421A1 (en) * | 2021-07-30 | 2023-02-02 | 北京字跳网络技术有限公司 | Work cover display method, device, medium and electronic apparatus |
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