CN115103227A - Video material marking method, video material identification device, video material identification equipment and storage medium - Google Patents

Video material marking method, video material identification device, video material identification equipment and storage medium Download PDF

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Publication number
CN115103227A
CN115103227A CN202210707241.4A CN202210707241A CN115103227A CN 115103227 A CN115103227 A CN 115103227A CN 202210707241 A CN202210707241 A CN 202210707241A CN 115103227 A CN115103227 A CN 115103227A
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China
Prior art keywords
marking
video material
character string
video
target
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CN202210707241.4A
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Chinese (zh)
Inventor
潘力
何志雄
周云聪
伍波
腾灵芝
何本仕
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Guangzhou Junbo Network Technology Co ltd
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Guangzhou Junbo Network Technology Co ltd
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Priority to CN202210707241.4A priority Critical patent/CN115103227A/en
Publication of CN115103227A publication Critical patent/CN115103227A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H04N21/44008Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/835Generation of protective data, e.g. certificates
    • H04N21/8352Generation of protective data, e.g. certificates involving content or source identification data, e.g. Unique Material Identifier [UMID]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/835Generation of protective data, e.g. certificates
    • H04N21/8358Generation of protective data, e.g. certificates involving watermark

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Editing Of Facsimile Originals (AREA)

Abstract

The invention is applicable to the technical field of computers, and provides a video material marking method, a video material identification device, video material identification equipment and a storage medium. The video material marking method comprises the following steps: acquiring target materials and target information corresponding to the target materials; determining a marking character string according to the target information; and generating the marking character string watermark on the target material. According to the scheme, the target material and the target information corresponding to the target material are obtained, the target information corresponding to the target material can be added to the target material in the form of marking character string watermarks, so that the information of the target material can be obtained according to the marking character strings on the target material in the video, manual marking is avoided, the marking efficiency is improved, and the labor cost is reduced.

Description

Video material marking method, video material identification device, video material identification equipment and storage medium
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a video material marking method, a video material identification device, video material identification equipment and a storage medium.
Background
The video watched by people is generally divided into three types, one type is a video formed by combining a plurality of pictures and is generally called as a picture-text flash long video; one is a video formed by recording multiple short videos by a photographer and then combining the multiple short videos; still another is a video recorded directly.
In order to identify which pictures or short videos a video is composed of at a later stage, information related to the video material is generally marked into the video material. However, in the prior art, marking of video materials is generally performed manually, which results in high labor cost and low working efficiency.
Disclosure of Invention
The embodiment of the invention aims to provide a video material marking method, and aims to solve the technical problems that in the prior art, marking of video materials is generally carried out manually, the labor cost is high, and the working efficiency is low.
The embodiment of the invention is realized in such a way that the video material marking method comprises the following steps:
acquiring a target material and target information corresponding to the target material;
determining a marking character string according to the target information;
and generating the marking character string watermark on the target material.
Another objective of an embodiment of the present invention is to provide a method for identifying video material, where the method for identifying video material includes:
cutting the video material to obtain a picture set of the size of the watermark area of the marking character string;
identifying pictures in the picture set, and determining a character string set;
converting the character string set into a Long type id set;
and identifying the video material according to the Long type id set.
Another object of an embodiment of the present invention is to provide a video material marking device, including:
the acquisition module is used for acquiring target materials and target information corresponding to the target materials;
the marking character string determining module is used for determining the marking character string according to the target information;
and the marking module is used for generating the marking character string watermark on the target material.
It is another object of an embodiment of the present invention to provide a video material recognition apparatus, including:
the cutting module is used for cutting the video material to obtain a picture set with the size of the watermark region of the marking character string;
the first identification module is used for identifying pictures in the picture set and determining a character string set;
the conversion module is used for converting the character string set into a Long type id set;
and the second identification module is used for identifying the video material according to the Long type id set.
It is a further object of an embodiment of the present invention to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the steps of the above video material marking method or the above video material identification method.
It is another object of an embodiment of the present invention to provide a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, causes the processor to execute the steps of the video material marking method or the steps of the video material identification method.
The video material marking method provided by the embodiment of the invention comprises the following steps: acquiring a target material and target information corresponding to the target material; determining a marking character string according to the target information; and generating the marking character string watermark on the target material. According to the scheme, the target material and the target information corresponding to the target material are obtained, the target information corresponding to the target material can be added to the target material in the form of marking character string watermarks, so that the information of the target material can be obtained according to the marking character strings on the target material in the video, manual marking is avoided, the marking efficiency is improved, and the labor cost is reduced.
Drawings
Fig. 1 is a flowchart of a video material marking method according to an embodiment of the present invention;
fig. 2 is a flowchart of determining a marking string according to an embodiment of the present invention;
fig. 3 is a flowchart of generating a marking string watermark on a target material according to an embodiment of the present invention;
fig. 4 is a flowchart of a video material identification method according to an embodiment of the present invention;
fig. 5 is a block diagram of a structure of a video material marking device according to an embodiment of the present invention;
fig. 6 is a block diagram of a video material recognition apparatus according to an embodiment of the present invention;
fig. 7 is a block diagram of an internal configuration of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
As shown in fig. 1, in an embodiment, a video material marking method is provided, where the video material marking method specifically includes the following steps:
step S202, acquiring target materials and target information corresponding to the target materials.
In the embodiment of the present application, the target material is a picture or a video clip constituting a video. The target information corresponding to the target material may include, but is not limited to, a designer of the target material, a type of the target material, a size of the target material, a generation time of the target material, and the like. In the video production process, after the designer designs the target material of the video, the target material and the target information corresponding to the target material can be uploaded to a computer equipment database, so that the computer equipment can acquire the target material and the target information corresponding to the target material according to the input of a user. It should be noted that the present embodiment does not limit the specific classification manner of the types of the target materials, for example, the types of the general target materials are classified into a picture type and a video type, where the picture includes a large picture, a flash screen, a graphic flash, and the like, and the video includes a title, a broadcast, a scenario, and the like.
Step S204, determining marking character strings according to the target information;
in the embodiment of the application, the marking character string is a character string added to the target material. The embodiment does not limit the specific method for determining the marking character string according to the target information, for example, as shown in fig. 2, step S204 may include the following steps:
and step S302, generating a Long type ID according to the target information.
In the embodiment of the application, the target information corresponding to the target material generates a unique Long type ID. The specific method for generating the Long type ID according to the target information is not limited in this embodiment, for example, after receiving one piece of target information, the database of the computer device may randomly generate a self-increment Long type ID, that is, the primary key ID, and for example, the generated Long type ID may be 15817. And each target material corresponds to a unique Long type ID.
And S304, converting the Long type ID into a character string with a preset length to obtain the marking character string.
In the embodiment of the present application, the length of the marking string is not limited, for example, the string with the preset length may be a string composed of 4-bit characters. The marking string may be represented by "aabbbcddeeffgfgghhhijkllmmnnoppqqrststuvwxyz 2346789 +? 4 bits of 52 characters are spliced. And the marking character string corresponding to each target material has uniqueness. For example, when the string with the preset length is a 4-bit-length string, an algorithm of converting 10 systems to 52 systems may be used to convert the Long type ID into the 4-bit-length string. For example, the Long type ID is 15817, and the 4-bit length string converted by the algorithm of converting 10 system into 52 system is AdJK.
In the embodiment of the present application, when the generated Long type ID is 1 and the length of the converted character string is less than 4 bits, 4 bits may be complemented in front by the character "a", so that the Long type ID is 1 and the character string obtained by the algorithm of converting 10 system into 52 system is "AAAa". When the number of the bits is less than 4, the character strings are complemented to 4 bits, so that the unification of the algorithm is facilitated, and the subsequent unified identification is facilitated.
And step S206, generating the marking character string watermark on the target material.
In the embodiment of the application, when the target material is a picture, the marking character string watermark is added to the picture. When the target material is a video, the marking character string watermark can be added to the picture of the video frame. When the target material is a video, before generating the marking character string watermark, video frame data of the video can be acquired.
In the embodiment of the present application, a specific method for generating a marking string watermark on a target material is not limited, and for example, a third-party plug-in "FFMpeg" may be used.
In the embodiment of the present application, it should be noted that, for the purpose of facilitating subsequent identification of the marking string watermark and avoiding the influence of the string watermark on the content of the target material, the color of the marking string watermark is generally selected from colors capable of obviously distinguishing the background of the target material, and the marking string is added to the background area of the material. Therefore, as shown in fig. 3, step S206 may specifically include the following steps:
step S402, identifying the background area and the background color of the target material.
In the embodiment of the application, the target in the target material can be identified by using an image identification algorithm, and the region except the target in the picture is the background region, so that the background region is obtained. The RGB values of the pixel blocks in the picture background area are acquired, so that the background color can be acquired. The method of identifying the background area and the background color of the target material is not limited to this.
And S404, determining the color of the marking character string according to the background color.
In the embodiment of the application, the colors of the marking character strings corresponding to different background colors can be preset. For example, a dark background may be made to correspond to a light colored string of lettering, and conversely, a light colored background may be made to correspond to a dark colored string of lettering. After the RGB value of the target material background is obtained, the color of the marking character string can be determined according to the preset colors of the marking character strings corresponding to different background colors.
Step S406, adding the marking string to the background area.
In the embodiment of the application, the adding number of the marking character strings in the background area is not limited, for example, only one marking character string may be added, or the marking character strings may be uniformly added to the background area according to a certain density.
In the embodiment of the application, the target material with the marking character strings can be synthesized into a video subsequently, and then released and released.
According to the video material marking method, the target material and the target information corresponding to the target material are obtained, the marking character string is obtained according to the target information, and the watermark corresponding to the marking character string is generated on the target material, so that automatic marking of the target material can be achieved, manual marking is avoided, marking efficiency is improved, and labor cost is reduced. And subsequently, the information of the video material can be obtained according to the marking character string watermark on the material in the video.
As shown in fig. 4, in another embodiment of the present application, there is further provided a method for identifying a video material marked by the video material marking method, where the method for identifying a video material includes:
and step S502, cutting the video material to obtain a picture set with the size of the watermark region of the marking character string.
In this embodiment of the present application, a specific method for cutting a video material is not limited, and for example, a region-based segmentation method may be adopted to cut according to the size of the watermark region of the string of the mark characters. The video material is a picture or a video. When the video material is a picture, the video material can be directly cut. Each picture in the video material can be cut into a plurality of pictures with the size of the marking character string watermark area by taking the size of each marking character string watermark area as a reference, so that a picture set with the size of the marking character string watermark area is obtained. When the video material is a video, video frame images of the video can be obtained first, the video material is cut into videos with the size of a plurality of marking character string watermark areas by cutting each video frame image to obtain a video set, and then specified frame pictures are intercepted from each preset unit time length of the video set to obtain the picture set. For example, if the preset unit time duration is 1 second and the designated frame picture is 2 frames of pictures, 2 frames of pictures are captured from the video per second of the video set, and the finally captured video frame picture forms a picture set.
Step S504, identifying the pictures in the picture set, and determining a character string set.
In the embodiment of the present application, a specific method for identifying pictures in a picture set is not limited, for example, a third-party identification tool "easy" may be used, where the third-party identification tool provides an identification method, and we only need to transmit the picture address, the coordinates, and the size, and the tool will automatically identify the character string on the picture.
Step S506, converting the character string set into a Long type id set.
In the embodiment of the present application, the string set may be converted into a Long type id set by using an algorithm from 52 system to 10 system. For example, a set of strings is identified from the video such as: AdJa, Adla, AdJK, the set of strings is converted to Long type id set by algorithm to get as follows: 15801. 15951, 15817.
In the embodiment of the present application, it should be noted that after obtaining the character string set, the character string set needs to be subjected to conversion and filtering, for example, to screen out character strings with lengths other than 4 bits in the character string set, and to uniformly convert characters with similar lower case letters and upper case letters, such as "o, u, and c" in the character string set into upper case letters. And then, carrying out duplication elimination on the character string set after the conversion and the filtration, and finally converting the character string set after the duplication elimination into a Long type id set.
And step S508, identifying the video material according to the Long type id set.
In the embodiment of the application, the target information corresponding to the Long type id can be searched in the database of the computer device through the Long type id in the Long type id set, so that the information of the video material is identified.
According to the video material identification method provided by the embodiment of the application, when the video material is generated by the video material marking method, the target information corresponding to the video material can be identified by the video material identification method. Therefore, video creation can be better protected, and video materials are prevented from being stolen.
As shown in fig. 5, in one embodiment, a video material marking device is provided, which may be integrated in a computer device, and specifically may include an obtaining module 610, a marking string determining module 620, and a marking module 630.
The obtaining module 610 is configured to obtain a target material and target information corresponding to the target material.
And a marking string determining module 620, configured to determine a marking string according to the target information.
And the marking module 630 is configured to generate the marked string watermark on the target material.
In the video material marking device provided in the embodiment of the present application, the function implementation of the obtaining module 610, the marking string determining module 620, and the marking module 630 included in the video material marking device corresponds to the steps S202, S204, and S206 in the above video material marking method one to one, and for the specific explanation in the video material marking device, and the related detailed and optimized contents, reference is made to the specific embodiment in the above video material marking method, and details are not repeated here.
As shown in fig. 6, in an embodiment, a video material recognition apparatus is provided, and the video material recognition apparatus may also be integrated in a computer device, and specifically may include a cutting module 710, a first recognition module 720, a conversion module 730, and a second recognition module 740.
And the cutting module 710 is configured to cut the video material to obtain a picture set with the size of the watermark region of the marking character string.
The first identifying module 720 is configured to identify a picture in the picture set, and determine a character string set.
A converting module 730, configured to convert the string set into a Long type id set.
A second identifying module 740, configured to identify the video material according to the Long type id set.
In the video material recognition apparatus provided in the embodiment of the present application, the functions of the cutting module 710, the first recognition module 720, the conversion module 730, and the second recognition module 740 are implemented in a one-to-one correspondence with the steps S502, S504, S506, and S508 in the above video material recognition method, and for the specific explanation in the video material recognition apparatus, and the related detailed and optimized contents, reference is made to the specific embodiment in the above video material recognition method, and no further description is given here.
FIG. 7 is a diagram that illustrates an internal structure of the computer device in one embodiment. The computer device comprises a processor, a memory, a network interface, an input device and a display screen which are connected through a system bus. The memory comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program that, when executed by the processor, causes the processor to implement a video material marking method or a video material identification method. The internal memory may also have a computer program stored therein, which when executed by the processor, causes the processor to perform the steps of the video material marking method or the video material identification method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on a shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the video material marking device provided by the present application can be implemented in the form of a computer program, and the computer program can be run on a computer device as shown in fig. 7. The memory of the computer device may store various program modules that constitute the video material marking device, such as the obtaining module 610, the marking string determining module 620, and the marking module 630 shown in fig. 5. The program modules constitute computer programs that cause the processor to perform the steps of the video material marking method of the embodiments of the present application described in the present specification.
For example, the computer device shown in fig. 7 may execute step S202 through the obtaining module 610 in the video material marking apparatus shown in fig. 5. The computer device may perform step S204 by the marking string determination module 620. The computer device may perform step S206 by the marking module 630.
In one embodiment, the video material recognition apparatus provided herein may be implemented in the form of a computer program that is executable on a computer device such as that shown in fig. 7. The memory of the computer device may store various program modules constituting the video material recognition apparatus, such as the cutting module 710, the first recognition module 720, the conversion module 730, and the second recognition module 740 shown in fig. 6. The computer program constituted by the respective program modules causes the processor to execute the steps in the video material identification method of the respective embodiments of the present application described in the present specification.
For example, the computer device shown in fig. 7 may perform step S502 by the cutting module 710 in the video material recognition apparatus shown in fig. 6. The computer device may perform step S504 through the first recognition module 720. The computer device may perform step S506 through the conversion module 730. The computer device may perform step S508 through the second recognition module 740.
In one embodiment, a computer device is proposed, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
step S202, acquiring target materials and target information corresponding to the target materials;
step S204, determining marking character strings according to the target information;
and step S206, generating the marking character string watermark on the target material.
Or the processor, when executing the computer program, implements the steps of:
step S502, cutting the video material to obtain a picture set with the size of a marking character string watermark area;
step S504, identifying the pictures in the picture set, and determining a character string set;
step S506, converting the character string set into a Long type id set;
and step S506, identifying the video material according to the Long type id set.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of:
step S202, acquiring target materials and target information corresponding to the target materials;
step S204, determining marking character strings according to the target information;
and step S206, generating the marking character string watermark on the target material.
Or the processor, when executing the computer program, implements the steps of:
step S502, cutting the video material to obtain a picture set with the size of a marking character string watermark area;
step S504, identifying the pictures in the picture set, and determining a character string set;
step S506, converting the character string set into a Long type id set;
and step S506, identifying the video material according to the Long type id set.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), Rambus (Rambus) direct RAM (RDRAM), direct bused dynamic RAM (DRDRAM), and bused dynamic RAM (RDRAM).
All possible combinations of the technical features of the above embodiments may not be described for the sake of brevity, but should be considered as within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is intended to be illustrative of the preferred embodiment of the present invention and should not be taken as limiting the invention, but rather, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

Claims (10)

1. A video material marking method is characterized by comprising the following steps:
acquiring a target material and target information corresponding to the target material;
determining a marking character string according to the target information;
and generating the marking character string watermark on the target material.
2. The method of marking video material as claimed in claim 1 wherein said determining a marking string based on said target information comprises:
generating a Long type ID according to the target information;
and converting the Long type ID into a character string with a preset length to obtain the marking character string.
3. The method for marking video material as recited in claim 2 wherein the marking string is comprised of 4-bit characters in a predetermined string;
the converting the Long type ID into a character string of a preset length includes:
and converting the Long type ID into a 4-bit Long character string by using a 10-system-to-52-system algorithm.
4. The method of marking video material as claimed in claim 1 wherein said generating the marking string watermark on the target material comprises:
identifying a background area and a background color of the target material;
determining the color of the marking character string according to the background color;
adding the branding string to the background region.
5. A method for identifying video material, the method comprising:
cutting the video material to obtain a picture set of the size of the watermark area of the marking character string;
identifying pictures in the picture set, and determining a character string set;
converting the character string set into a Long type id set;
and identifying the video material according to the Long type id set.
6. The method for identifying a video material according to claim 5, wherein when the video material is a video, the cutting the video material to obtain a set of pictures with a size of a marking string watermark region comprises:
cutting the video material into videos with the size of a plurality of marking character string watermark areas to obtain a video set;
and intercepting a specified frame picture from each preset unit time length of the video set to obtain the picture set.
7. The utility model provides a video material marking device which characterized in that, video material marking device includes:
the acquisition module is used for acquiring target materials and target information corresponding to the target materials;
the marking character string determining module is used for determining the marking character string according to the target information;
and the marking module is used for generating the marking character string watermark on the target material.
8. A video material recognition apparatus, characterized in that the video material recognition apparatus comprises:
the cutting module is used for cutting the video material and acquiring a picture set with the size of the watermark area of the marking character string;
the first identification module is used for identifying pictures in the picture set and determining a character string set;
the conversion module is used for converting the character string set into a Long type id set;
and the second identification module is used for identifying the video material according to the Long type id set.
9. A computer device comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to carry out the steps of the video material marking method as claimed in any one of claims 1 to 4 or the steps of the video material identification method as claimed in any one of claims 5 to 6.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, causes the processor to carry out the steps of the video material marking method as claimed in any one of claims 1 to 4 or the steps of the video material identification method as claimed in any one of claims 5 to 6.
CN202210707241.4A 2022-06-21 2022-06-21 Video material marking method, video material identification device, video material identification equipment and storage medium Pending CN115103227A (en)

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