Video material marking method, identification method and its device, equipment and storage medium

Abstract

The present invention is applicable to the field of computer technology, and provides a video material marking method, an identification method, and a device, equipment, and storage medium. The video material marking method comprises: obtaining a target material and target information corresponding to the target material; determining a marking string according to the target information; and generating a marking string watermark on the target material. By obtaining the target material and the target information corresponding to the target material, the present solution can add the target information corresponding to the target material to the target material in the form of a marking string watermark, so that the information of the target material can be obtained according to the marking string on the target material in the video, thereby avoiding manual marking, improving marking efficiency, and reducing labor costs.

Description

Technical Field

[0001] The present invention belongs to the field of computer technology, and in particular relates to a video material marking method, an identification method, and a device, equipment and storage medium thereof. Background Art

[0002] The videos we watch are generally divided into three types. One is a video composed of multiple pictures, generally called a long flash video; one is a video recorded by a photographer and then merged into multiple short videos; and the other is a video that is directly recorded.

[0003] In order to identify which pictures or short videos a video is composed of later, the relevant information of the video material is generally marked in the video material. However, in the prior art, the marking of video materials is generally done manually, which has high labor costs and low work efficiency. Summary of the invention

[0004] The purpose of the embodiment of the present invention is to provide a video material marking method, aiming to solve the technical problem in the prior art that the marking of video materials is generally performed manually, with high labor costs and low work efficiency.

[0005] The embodiment of the present invention is implemented as follows: the video material marking method comprises:

[0006] Acquire target material and target information corresponding to the target material;

[0007] Determine a marking character string according to the target information;

[0008] The marking character string watermark is generated on the target material.

[0009] Another object of an embodiment of the present invention is to provide a video material recognition method, the video material recognition method comprising:

[0010] Cut the video material to obtain a set of pictures with the same size of the string watermark area;

[0011] Identify the pictures in the picture set and determine the character string set;

[0012] Convert the string set into a Long type id set;

[0013] The video material is identified according to the Long type id set.

[0014] Another object of an embodiment of the present invention is to provide a video material marking device, the video material marking device comprising:

[0015] An acquisition module, used to acquire a target material and target information corresponding to the target material;

[0016] A marking character string determination module, used to determine a marking character string according to the target information;

[0017] The marking module is used to generate the marking string watermark on the target material.

[0018] Another object of an embodiment of the present invention is to provide a video material recognition device, the video material recognition device comprising:

[0019] A cutting module, used for cutting the video material to obtain a set of pictures with a size of a string watermark area;

[0020] A first recognition module, used to recognize pictures in the picture set and determine a character string set;

[0021] A conversion module, used for converting the string set into a Long type id set;

[0022] The second identification module is used to identify the video material according to the Long type ID set.

[0023] Another object of an embodiment of the present invention is to provide a computer device, which includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the above-mentioned video material marking method or the steps of the above-mentioned video material identification method.

[0024] Another object of an embodiment of the present invention is to provide a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the processor executes the steps of the above-mentioned video material marking method or the steps of the above-mentioned video material identification method.

[0025] A video material marking method provided by an embodiment of the present invention includes: obtaining a target material and target information corresponding to the target material; determining a marking string according to the target information; and generating a marking string watermark on the target material. By obtaining the target material and the target information corresponding to the target material, the target information corresponding to the target material can be added to the target material in the form of a marking string watermark, so that the information of the target material can be obtained according to the marking string on the target material in the video, avoiding manual marking, improving marking efficiency, and reducing labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A flowchart of a video material marking method provided by an embodiment of the present invention;

[0027] Figure 2 A flowchart for determining a marking character string provided by an embodiment of the present invention;

[0028] Figure 3 A flow chart of generating a string watermark on a target material provided by an embodiment of the present invention;

[0029] Figure 4 A flowchart of a video material identification method provided by an embodiment of the present invention;

[0030] Figure 5 A structural block diagram of a video material marking device provided by an embodiment of the present invention;

[0031] Figure 6 A structural block diagram of a video material identification device provided by an embodiment of the present invention;

[0032] Figure 7 FIG. 4 is a block diagram of the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0034] It is understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, 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.

[0035] like Figure 1 As shown, in one embodiment, a video material marking method is proposed, and the video material marking method may specifically include the following steps:

[0036] Step S202, obtaining target material and target information corresponding to the target material.

[0037] In an embodiment of the present application, the target material is a picture or video clip that constitutes a video. The target information corresponding to the target material may include information such as the designer of the target material, the type of the target material, the size of the target material, the generation time of the target material, etc., but is not limited to this. In the video production process, after the designer has completed the design of the target material of the video, the target material and the target information corresponding to the target material can be uploaded to the computer device database, so that the computer device can obtain the target material and the target information corresponding to the target material according to the user's input. It should be noted that this embodiment does not limit the specific classification method of the type of target material. For example, the types of general target materials are divided into picture categories and video categories, where pictures include large pictures, splash screens, graphic flashes, etc., and videos include titles, oral broadcasts, plots, etc.

[0038] Step S204, determining a marking character string according to the target information;

[0039] In the embodiment of the present application, the marking string is a string added to the target material. This embodiment does not limit the specific method of determining the marking string according to the target information. For example, Figure 2 As shown, step S204 may include the following steps:

[0040] Step S302: Generate a Long type ID according to the target information.

[0041] In the embodiment of the present application, the target information corresponding to the target material generates a unique Long type ID. This embodiment does not limit the specific method of generating a Long type ID according to the target information. For example, after receiving a target information, the database of the computer device can randomly generate a self-incrementing Long type ID, that is, a primary key ID. For example, the generated Long type ID can be 15817. And each target material corresponds to a unique Long type ID.

[0042] Step S304: convert the Long type ID into a character string of a preset length to obtain the marking character string.

[0043] In the embodiment of the present application, there is no restriction on the length of the marking string. For example, the string of the preset length can be a string consisting of 4 characters. The marking string can be composed of 4 characters out of the 52 characters "AaBbCDdEeFfGgHhiJjKLlMmNnOPpQqRrSTtUVWXYyZ2346789#+?". And the marking string corresponding to each target material is unique. This embodiment does not limit the specific method of converting the Long type ID into a string of preset length. For example, when the string of the preset length is a string of 4 digits, the Long type ID can be converted into a string of 4 digits using the algorithm of converting decimal to 52-base. For example, the Long type ID is 15817, and the 4-digit string converted by the algorithm of converting decimal to 52-base is AdJK.

[0044] In the embodiment of the present application, when the generated Long type ID is 1, and the length of the converted string is less than 4 digits, the character "A" can be used to fill the 4 digits in front. Therefore, the Long type ID is 1, and the string obtained by the decimal to 52-base algorithm is "AAAa". When it is less than 4 digits, the string is filled to 4 digits, which can facilitate the unification of the algorithm and facilitate subsequent unified recognition.

[0045] Step S206: Generate the marked character string watermark on the target material.

[0046] In the embodiment of the present application, when the target material is a picture, the marking string watermark is added to the picture. When the target material is a video, the marking string watermark can be added to the picture of the video frame. When the target material is a video, before generating the marking string watermark, the video frame data of the video can be obtained first.

[0047] In the embodiment of the present application, there is no limitation on the specific method of generating a marking string watermark on the target material. For example, a third-party plug-in "FFMpeg" can be used.

[0048] In the embodiment of the present application, it should be noted that in order to facilitate the subsequent identification of the marked string watermark and avoid the string watermark affecting the target material content, the color of the marked string watermark is generally selected to be a color that can clearly distinguish the background of the target material, and the marked string is added to the background area of ​​the material. Figure 3 As shown, step S206 may specifically include the following steps:

[0049] Step S402: identifying the background area and background color of the target material.

[0050] In the embodiment of the present application, an image recognition algorithm can be used to identify a target in a target material, and the area outside the target in the picture is the background area, thereby obtaining the background area. The RGB value of the pixel block in the background area of ​​the picture is obtained, so that the background color can be obtained. The method of identifying the background area and background color of the target material is not limited to this.

[0051] Step S404: determining the color of the marked character string according to the background color.

[0052] In the embodiment of the present application, the color of the marking string corresponding to different background colors can be preset. For example, a dark background can correspond to a light-colored marking string, and vice versa, a light-colored background can correspond to a dark-colored marking string. After obtaining the RGB value of the target material background, the color of the marking string can be determined according to the colors of the marking strings corresponding to the pre-set different background colors.

[0053] Step S406, adding the marked character string to the background area.

[0054] In the embodiment of the present application, there is no limit on the number of marking strings added to the background area. For example, only one marking string may be added, or the marking string may be added uniformly to the background area at a certain density.

[0055] In the embodiment of the present application, the target material with the marked character string can be subsequently synthesized into a video and then released.

[0056] The embodiment of the present application provides a video material marking method, which obtains the target material and the target information corresponding to the target material, obtains the marking string according to the target information, and then generates a watermark corresponding to the marking string on the target material, thereby realizing automatic marking of the target material, avoiding manual marking, improving marking efficiency, and reducing labor costs. And subsequently, the information of the video material can be obtained according to the marking string watermark on the material in the video.

[0057] like Figure 4 As shown, in another embodiment of the present application, a video material recognition method is further provided, which is used to recognize the material marked by the above-mentioned video material marking method, and the video material recognition method includes:

[0058] Step S502, cutting the video material to obtain a set of pictures of the size of the string watermark area.

[0059] In the embodiment of the present application, the embodiment does not limit the specific method of cutting the video material. For example, a region-based segmentation method can be used to cut according to the size of the marked string watermark area. The video material is a picture or a video. When the video material is a picture, the video material can be cut directly. The size of each marked string watermark area can be used as a benchmark to cut each picture in the video material into several pictures of the size of the marked string watermark area, thereby obtaining a picture set of the size of the marked string watermark area. When the video material is a video, the video frame image of the video can be obtained first, and each video frame image can be cut to achieve the video material being cut into several videos of the size of the marked string watermark area to obtain a video set, and then a specified frame picture is intercepted from each preset unit time of the video set to obtain the picture set. For example, the preset unit time is 1 second, and the specified frame picture is 2 frames of pictures, then 2 frames of pictures are intercepted from each second of video in the video set, and finally the intercepted video frame pictures constitute a picture set.

[0060] Step S504: identifying pictures in the picture set and determining a character string set.

[0061] In the embodiments of the present application, there is no restriction on the specific method of identifying pictures in a picture collection. For example, a third-party recognition tool "easyocr" can be used. This third-party tool provides a recognition method. We only need to pass the picture address, coordinates, and size, and the tool will automatically recognize the string on the picture.

[0062] Step S506: convert the string set into a Long type id set.

[0063] In the embodiment of the present application, the 52-base to 10-base algorithm can be used to convert the string set into a Long type id set. For example, a string set such as AdJa, Adla, AdJK is identified from the video, and the string set is converted into a Long type id set such as 15801, 15951, 15817 through the algorithm.

[0064] In the embodiment of the present application, it should be noted that after obtaining the string set, the string set needs to be converted and filtered, for example, the string set whose length is not 4 bits is filtered out, and the characters similar to lowercase letters and uppercase letters such as "o, u, c" in the string set are uniformly converted to uppercase. Then, the converted and filtered string set is deduplicated, and finally the deduplicated string set is converted into a Long type id set.

[0065] Step S508: Identify the video material according to the Long type ID set.

[0066] In the embodiment of the present 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, thereby identifying the information of the video material.

[0067] The embodiment of the present application provides a video material identification method. When the video material is generated by the above-mentioned video material marking method, the target information corresponding to the video material can be identified by the video material identification method, thereby better protecting video creation and preventing the video material from being stolen.

[0068] like Figure 5 As shown, in one embodiment, a video material marking device is provided. The video material marking device can be integrated into a computer device, and specifically can include an acquisition module 610 , a marking string determination module 620 , and a marking module 630 .

[0069] The acquisition module 610 is used to acquire the target material and the target information corresponding to the target material.

[0070] The marking character string determining module 620 is configured to determine a marking character string according to the target information.

[0071] The marking module 630 is used to generate the marking string watermark on the target material.

[0072] A video material marking device provided in an embodiment of the present application includes an acquisition module 610, a marking string determination module 620, and a marking module 630, the functional implementations of which correspond one-to-one to steps S202, S204, and S206 in the above-mentioned video material marking method. For the specific explanation of the video material marking device, as well as the related refinement and optimization contents, please refer to the specific embodiment of the above-mentioned video material marking method, which will not be repeated here.

[0073] like Figure 6 As shown, in one embodiment, a video material recognition device is provided. The video material recognition device can also be integrated into a computer device, and specifically can include a cutting module 710, a first recognition module 720, a conversion module 730, and a second recognition module 740.

[0074] The cutting module 710 is used to cut the video material and obtain a set of pictures with the size of the watermark area marked with the string.

[0075] The first recognition module 720 is used to recognize the pictures in the picture set and determine a character string set.

[0076] The conversion module 730 is used to convert the string set into a Long type id set.

[0077] The second identification module 740 is used to identify the video material according to the Long type ID set.

[0078] A video material recognition device provided in an embodiment of the present application includes a cutting module 710, a first recognition module 720, a conversion module 730, and a second recognition module 740, the functional implementations of which correspond one-to-one to steps S502, S504, S506, and S508 in the above video material recognition method. For the specific explanation of the video material recognition device, as well as the related refinement and optimization contents, please refer to the specific embodiment of the above video material recognition method, which will not be repeated here.

[0079] Figure 7 The internal structure diagram of a computer device in one embodiment is shown. The computer device includes a processor, a memory, a network interface, an input device and a display screen connected through a system bus. Among them, the memory includes a non-volatile 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. When the computer program is executed by the processor, the processor can implement a video material marking method or a video material recognition method. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor can execute the steps of the video material marking method or the video material recognition method. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0080] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0081] In one embodiment, the video material marking device provided by the present application can be implemented in the form of a computer program. The computer program can be Figure 7 The computer device shown in the figure is run. The memory of the computer device can store various program modules constituting the video material marking device, for example, Figure 5 The obtained module 610, the marked character string determination module 620, and the marking module 630 are shown. The computer program composed of various program modules enables the processor to execute the steps of the video material marking method of each embodiment of the present application described in this specification.

[0082] For example, Figure 7 The computer device shown can be Figure 5 The acquisition module 610 in the video material marking device shown in the figure performs step S202. The computer device can perform step S204 through the marking character string determination module 620. The computer device can perform step S206 through the marking module 630.

[0083] In one embodiment, the video material identification device provided by the present application can be implemented in the form of a computer program. The computer program can be Figure 7 The computer device shown in the figure is run on the computer device. The memory of the computer device can store various program modules constituting the video material recognition device, such as: Figure 6 The cutting module 710, the first identification module 720, the conversion module 730, and the second identification module 740 are shown. The computer program composed of various program modules enables the processor to execute the steps of the video material identification method of each embodiment of the present application described in this specification.

[0084] For example, Figure 7 The computer device shown can be Figure 6 The cutting module 710 in the video material identification device shown in the figure performs step S502. The computer device can perform step S504 through the first identification module 720. The computer device can perform step S506 through the conversion module 730. The computer device can perform step S508 through the second identification module 740.

[0085] In one embodiment, a computer device is provided, the computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented:

[0086] Step S202, obtaining target material and target information corresponding to the target material;

[0087] Step S204, determining a marking character string according to the target information;

[0088] Step S206: Generate the marked character string watermark on the target material.

[0089] Or the processor implements the following steps when executing the computer program:

[0090] Step S502, cutting the video material to obtain a set of pictures with the same size of the string watermark area;

[0091] Step S504, identifying pictures in the picture set and determining a character string set;

[0092] Step S506, converting the string set into a Long type id set;

[0093] Step S506: Identify the video material according to the Long type ID set.

[0094] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the processor performs the following steps:

[0095] Step S202, obtaining target material and target information corresponding to the target material;

[0096] Step S204, determining a marking character string according to the target information;

[0097] Step S206: Generate the marked character string watermark on the target material.

[0098] Or the processor implements the following steps when executing the computer program:

[0099] Step S502, cutting the video material to obtain a set of pictures with the same size of the string watermark area;

[0100] Step S504, identifying pictures in the picture set and determining a character string set;

[0101] Step S506, converting the string set into a Long type id set;

[0102] Step S506: Identify the video material according to the Long type ID set.

[0103] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0104] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many 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), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0105] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0106] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0107] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A video material marking method, characterized in that: The video material marking method comprises: Acquire a target material and target information corresponding to the target material, wherein the target material is a picture or a video clip constituting a video, and the target information includes designer information of the target material and a type of the target material, and the type of the target material includes a picture type and a video type; Determine a marking character string according to the target information; Generating the marking string watermark on the target material; Wherein, determining the marking character string according to the target information includes: Generate a Long type ID according to the target information; The Long type ID is converted into a string of preset length to obtain the marking string; the marking string is composed of 4 characters in the preset string, and the Long type ID is converted into a string of preset length, including: The Long type ID is converted into a 4-bit character string using a decimal to 52-bit conversion algorithm; The step of generating the marking string watermark on the target material includes: Identify the background area and background color of the target material; Determine the color of the marking string according to the background color; The marking character string is added to the background area.

2. A video material recognition method for identifying material marked by the video material marking method according to claim 1, characterized in that: The video material identification method comprises: Cut the video material to obtain a set of pictures with the same size of the string watermark area; Identify the pictures in the picture set and determine the character string set; Convert the string set into a Long type id set; The video material is identified according to the Long type id set.

3. The video material identification method according to claim 2, characterized in that: When the video material is a video, the video material is cut to obtain a set of pictures of a size of a string watermark area, including: Cut the video material into a number of videos of the same size as the string watermark area to obtain a video set; A specified frame of picture is captured from each preset unit time length of the video set to obtain the picture set.

4. A video material marking device, characterized in that: The video material marking device comprises: An acquisition module, used to acquire a target material and target information corresponding to the target material, wherein the target material is a picture or a video clip constituting a video, and the target information includes designer information of the target material and a type of the target material, wherein the type of the target material includes a picture type and a video type; A marking string determination module is used to determine the marking string according to the target information, wherein the determining the marking string according to the target information includes: Generate a Long type ID according to the target information; The Long type ID is converted into a string of preset length to obtain the marking string; the marking string is composed of 4 characters in the preset string, and the Long type ID is converted into a string of preset length, including: The Long type ID is converted into a 4-bit character string using a decimal to 52-bit conversion algorithm; The marking module is used to generate the marking string watermark on the target material, wherein the generating the marking string watermark on the target material comprises: Identify the background area and background color of the target material; Determine the color of the marking string according to the background color; The marking character string is added to the background area.

5. A video material recognition device, used for recognizing the material marked by the video material marking device according to claim 4, characterized in that: The video material recognition device comprises: A cutting module, used for cutting the video material to obtain a set of pictures with a size of a string watermark area; A first recognition module, used to recognize pictures in the picture set and determine a character string set; A conversion module, used for converting the string set into a Long type id set; The second identification module is used to identify the video material according to the Long type ID set.

6. A computer device, characterized in that: It comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the video material marking method according to claim 1 or the steps of the video material identification method according to any one of claims 2-3.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor executes the steps of the video material marking method according to claim 1 or the steps of the video material identification method according to any one of claims 2-3.

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