CN111861572B - Advertisement putting method and device, electronic equipment and computer readable storage medium - Google Patents
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Abstract
The embodiment of the invention relates to the field of data processing, and discloses an advertisement putting method, an advertisement putting device, electronic equipment and a computer readable storage medium. In some embodiments of the present application, the advertisement delivery method includes the following steps: acquiring the correlation degree between the advertisement and the current video; the correlation degree indicates the coincidence degree of the object in the current video and the related object of the advertisement; if the correlation degree is larger than a first preset value, putting advertisements in the target area; the target area is the area where the trademark in the current video is located. This embodiment can improve the advertisement delivery accuracy.
Description
Technical Field
The embodiment of the invention relates to the field of data processing, in particular to an advertisement putting method, an advertisement putting device, electronic equipment and a computer readable storage medium.
Background
With the general rising of the live broadcast industry, the live broadcast transmission mode is more and more popular with the public, and more attractive users are also more and more popular. In the live broadcast process, a lot of advertisement information can be displayed on the live broadcast platform.
However, the inventors found that there are at least the following problems in the prior art: the current advertisement putting method is random putting, so that the putting precision is not high.
Disclosure of Invention
The embodiment of the invention aims to provide an advertisement putting method, an advertisement putting device, electronic equipment and a computer readable storage medium, so that advertisement putting precision can be improved.
In order to solve the technical problems, the embodiment of the invention provides an advertisement putting method, which comprises the following steps: acquiring the correlation degree between the advertisement and the current video; the correlation degree indicates the coincidence degree of the object in the current video and the related object of the advertisement; if the correlation degree is larger than a first preset value, putting advertisements in the target area; the target area is the area where the trademark in the current video is located.
The embodiment of the invention also provides an advertisement putting device, which comprises: an acquisition module and a delivery module; the acquisition module is used for acquiring the correlation degree between the advertisement and the current video; the correlation degree indicates the coincidence degree of the object in the current video and the related object of the advertisement; the delivery module is used for delivering advertisements in the target area if the correlation degree is larger than a first preset value; the target area is the area where the trademark in the current video is located.
The embodiment of the invention also provides electronic equipment, which comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the advertising method as set forth in the above embodiments.
The embodiment of the invention also provides a computer readable storage medium storing a computer program which when executed by a processor implements the advertisement delivery method mentioned in the above embodiment.
Compared with the prior art, the method and the device for determining the relevance of the advertisement and the current video are based on the coincidence degree of the object in the current video and the relevant object of the advertisement. And under the condition that the correlation degree is larger than a first preset value, the advertisement is put in the target area, so that the correlation degree between the advertisement put in the target area and the current video is higher, and the advertisement putting precision is higher. In addition, the target area is the area where the trademark in the current video is located, manual calibration is not needed, labor cost is reduced, and the target area can be dynamically adjusted in the video, so that the flexibility is higher.
In addition, obtaining the relevance of the advertisement and the current video comprises the following steps: determining a first set of objects and a second set of objects; wherein the first object set includes names of objects in the current video and the second object set includes names of related objects of the advertisement;
and calculating the correlation degree according to the number of elements of the intersection of the first object set and the second object set.
In addition, calculating the correlation from the number of elements of the intersection of the first object set and the second object set includes: and calculating the correlation degree according to the number of elements of the intersection, the number of elements of the second object set and the probability that the current video belongs to the category of the current video.
In addition, before the correlation degree between the advertisement and the current video is obtained, the method further comprises the following steps: acquiring the category of the current video; the category of the advertisement is determined to be the same as the category of the current video.
In addition, acquiring the category of the current video includes: intercepting a video clip of the current video according to a preset intercepting rule; determining and recording the probability that the video clips belong to each category; determining the probability of the current video belonging to each category according to the probability of the video clip belonging to each category; and determining the category of the current video according to the probability that the current video belongs to each category.
In addition, the target area is subjected to fuzzy processing, and advertisements are put in the target area, which comprises the following steps: determining a number of users interested in the target area; and if the number of the interested users is larger than a second preset value, removing the fuzzy processing of the target area.
In addition, if the number of interested users is greater than the second preset value, the advertisement putting method further comprises the following steps: and if the number of the interested users is larger than the third preset value, or the number of the interested users with the age larger than the fourth preset value is larger than the fifth preset value, amplifying the target area.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which the figures of the drawings are not to be taken in a limiting sense, unless otherwise indicated.
FIG. 1 is a flow diagram of an advertising method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of an advertising method according to a second embodiment of the present invention;
FIG. 3 is a schematic view of an advertisement delivery device according to a third embodiment of the present invention;
fig. 4 is a schematic structural view of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the following detailed description of the embodiments of the present invention will be given with reference to the accompanying drawings. However, those of ordinary skill in the art will understand that in various embodiments of the present invention, numerous technical details have been set forth in order to provide a better understanding of the present application. However, the technical solutions claimed in the present application can be implemented without these technical details and with various changes and modifications based on the following embodiments.
Unless the context clearly requires otherwise, throughout the description and the claims, the words "comprise", "comprising", and the like are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is, it is the meaning of "including but not limited to".
In the description of the present disclosure, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present disclosure, unless otherwise indicated, the meaning of "a plurality" is two or more.
The first embodiment of the invention relates to an advertisement putting method, which comprises the following steps: acquiring the correlation degree between the advertisement and the current video; the correlation degree indicates the coincidence degree of the object in the current video and the related object of the advertisement; if the correlation degree is larger than a first preset value, putting advertisements in the target area; the target area is the area where the trademark in the current video is located. In this embodiment, the relevance of the advertisement to the current video is determined based on the degree of coincidence of the object in the current video and the relevant object of the advertisement. And under the condition that the correlation degree is larger than a first preset value, the advertisement is put in the target area, so that the correlation degree between the advertisement put in the target area and the current video is higher, and the advertisement putting precision is higher. In addition, the target area is the area where the trademark in the current video is located, manual calibration is not needed, labor cost is reduced, and the target area can be dynamically adjusted in the video, so that the flexibility is higher.
Implementation details of the time synchronization method of the present embodiment are described below, and the following details are provided only for easy understanding, and are not necessary for implementing the present embodiment.
The time synchronization method in this embodiment is applied to an electronic device, for example, a server or a terminal, as shown in fig. 1, and specifically includes the following steps:
step 101: and obtaining the correlation degree of the advertisement and the current video.
Specifically, the relevance indicates the degree of coincidence of the object in the current video and the relevant object of the advertisement.
In one embodiment, the process of calculating the correlation includes: determining a first set of objects and a second set of objects; wherein the first object set includes names of objects in the current video and the second object set includes names of related objects of the advertisement; and calculating the correlation degree according to the number of elements of the intersection of the first object set and the second object set. Specifically, the electronic device stores the names of the related objects of the advertisement. The higher the number of elements of the intersection, the higher the degree of correlation. For example, correlation = number of elements of intersection/number of elements of the second object set. Wherein the relevant object of the advertisement can be set by the advertiser so as to deliver the advertisement according to the wishes of the advertiser.
It should be noted that the electronic device stores the names of the related objects of the advertisement set based on the intention of the advertiser, so that the intention of the advertiser can be fully considered when calculating the relevance. The advertisement is put by combining with the intention of the advertiser for solving the corresponding commodity of the advertisement, so that the advertisement is put more accurately.
In one embodiment, the second set of objects is an advertised set of objects corresponding to a category to which the current video belongs. Specifically, the electronic device stores an object set corresponding to a category of video related to a commodity corresponding to an advertisement. When the correlation is calculated, the category of the current video is acquired first, and then the object set corresponding to the category of the current video is used as the second object set. For example, if the category of the current video is a food category, the object set corresponding to the food category of the advertisement is set as the second object set.
In one embodiment, calculating the correlation from the number of elements of the intersection of the first set of objects and the second set of objects includes: and calculating the correlation degree according to the number of elements of the intersection, the number of elements of the second object set and the probability that the current video belongs to the category of the current video. Specifically, the degree of correlation= (the number of elements of the intersection/the number of elements of the second object set) ×the probability that the current video belongs to the category of the current video.
It is worth mentioning that the correlation is calculated based on the probability of the category of the current video, so that the correlation is more accurate.
Step 102: and if the correlation degree is larger than a first preset value, putting advertisements in the target area.
Specifically, the target area is the area where the trademark is located in the current video. The electronic equipment identifies the trademark in the current video and takes the area where the trademark is located as a target area, namely an advertisement position.
The manner in which an electronic device places advertisements in a target area is illustrated below.
In a first example, the target area is blurred, and the electronic device places an advertisement in the target area, including: determining a number of users interested in the target area; and if the number of the interested users is larger than a second preset value, removing the fuzzy processing of the target area. Wherein the advertisement is a trademark in the current video. The second preset value may be set as desired, and is not limited herein.
It is worth mentioning that the blurring process is performed on the target area, so that the contradiction emotion of the user to the commodities appearing in the video can be reduced. When more users are interested in the target area, the fuzzy processing is removed, so that the interested users can know the commodities in the target area, the popularization effect is achieved, and the advertisement putting precision is improved.
Optionally, if the number of interested users is greater than the second preset value, the advertisement delivery method further includes: and if the number of the interested users is larger than the third preset value, or the number of the interested users with the age larger than the fourth preset value is larger than the fifth preset value, amplifying the target area. The third preset value is larger than the second preset value, the fourth preset value can be set to any age according to requirements, for example, any integer in 40-70, and the fifth preset value can be set to any positive integer.
It is worth mentioning that the target area is enlarged, so that the user can more clearly see the trademark in the target area.
It should be noted that, as will be understood by those skilled in the art, in practical application, other conditions may be set as a trigger condition for the electronic device to perform the amplifying process on the target area, for example, the trigger condition may also be set as follows: the ratio of the number of users whose ages are greater than the fourth preset value to the number of users viewing video among the interested users is greater than the preset ratio, and the present embodiment does not limit the trigger condition for performing the enlargement processing on the target area.
In one example, when determining whether the user is interested in the target area, if it is determined that the characteristics of the user meet the preset requirements, the user is determined to be interested in the target area. Wherein the preset requirements include, but are not limited to: the sight line information of the user indicates that the stay time of the sight line of the user in the target area is larger than a sixth preset value, and/or the sight line information of the user indicates that the number of times the sight line of the user moves to the advertisement position is larger than a seventh preset value, and/or the recognition result of the expression of the user indicates that the emotion of the user is positive emotion. The sixth preset value may be set to any time length as needed, for example, any time length of 3s to 10 s. The seventh preset value may be set to any positive integer as needed. For example, set to any integer from 2 to 10.
For example, the sixth preset value is 5s, and the seventh preset value is 3. Under the condition that the user authorization is obtained, the user terminal tracks the sight line of the user in real time by utilizing the front-facing camera, and recognizes the expression of the user, and the judging criteria for judging whether the focus of the sight line of the user is in the target area include, but are not limited to:
a) The user is considered to be focused on the target area if the coordinates of the point of interest of the user's line of sight on the screen are within the target area for a duration of more than 5 seconds.
b) The movement of the user's line of sight from outside the target area to within the target area is referred to as a dynamic focus. If the user dynamically focuses on a target area more than 3 times in 1 minute, the user is considered to focus on the target area.
c) If the user is focused on the target area (i.e., the conditions indicated by a or b are satisfied) and the expression indicates that the user's emotion is a positive emotion, i.e., the expression is a non-negative expression (negative expression includes angry, difficulty, etc.), then the user is determined to be interested in the target area.
In a second example, an electronic device places an advertisement in a target area, comprising: and removing the image of the target area, and playing the advertisement with the correlation degree with the current video being larger than a first preset value in the target area. Wherein the advertisement may be an advertisement video or advertisement image in an advertisement library, etc., without limitation.
Optionally, in the process that the target area plays the advertisement with the correlation degree with the current video being greater than the first preset value, a trigger condition for amplifying the target area may be set. And when the trigger condition for amplifying the target area is reached, amplifying the target area. The trigger condition for amplifying the target area can be set according to the requirement. For example, as a first example, the trigger condition is set to: the number of users interested in the target area is greater than the third preset value, or the number of users having an age greater than the fourth preset value among the interested users is greater than the fifth preset value.
In one example, the target area is provided with links to the goods related to the advertisement, and after the links are triggered, the links jump to the purchase interface of the goods, so that the advertisement conversion rate is improved.
The foregoing is merely illustrative, and is not intended to limit the technical aspects of the present invention.
Compared with the prior art, the advertisement putting method provided by the embodiment determines the correlation degree between the advertisement and the current video based on the coincidence degree of the object in the current video and the related object of the advertisement. And under the condition that the correlation degree is larger than a first preset value, the advertisement is put in the target area, so that the correlation degree between the advertisement put in the target area and the current video is higher, and the advertisement putting precision is higher. In addition, the target area is the area where the trademark in the current video is located, manual calibration is not needed, and labor cost is reduced. The target area can be dynamically adjusted in video, and the flexibility is higher.
A second embodiment of the present invention relates to a method of advertising. This embodiment is a further improvement over the first embodiment, in that: before acquiring the correlation degree, acquiring the category of the current video; the category of the advertisement is determined to be the same as the category of the current video.
Specifically, as shown in fig. 2, the present embodiment includes steps 201 to 204, wherein steps 203 and 204 are substantially the same as steps 101 and 102 in the first embodiment, and are not described herein. The differences are mainly described below:
step 201: and acquiring the category of the current video.
Specifically, the category of the current video is determined according to the content of the current video.
In one example, obtaining a category of a current video includes: intercepting a video clip of the current video according to a preset intercepting rule; determining and recording the probability that the video clips belong to each category; determining the probability of the current video belonging to each category according to the probability of the video clip belonging to each category; and determining the category of the current video according to the probability that the current video belongs to each category.
Step 202: the category of the advertisement is determined to be the same as the category of the current video.
Specifically, if the advertisement category is the same as the current video category, steps 203 and 204 are executed, and if the advertisement category is different from the current video category, no advertisement is placed, i.e., steps 203 and 204 are not executed.
It is worth mentioning that, when the advertisement category is the same as the current video category, the subsequent steps are executed again, so that the advertisement irrelevant to the current video can be eliminated, and the data processing amount is reduced.
Step 203: and obtaining the correlation degree of the advertisement and the current video.
Step 204: and if the correlation degree is larger than a first preset value, putting advertisements in the target area.
The following describes the procedure of the advertisement delivery method according to the present embodiment in a live scenario. It will be appreciated by those skilled in the art that the live scene is merely illustrative, and the advertisement delivery method can be applied to other application scenes, and the application process can refer to the application process of the live scene.
In the live broadcast process, when a live broadcast picture is recorded by a live broadcast end, the live broadcast picture is intelligently identified in real time by a server of the live broadcast end or the advertisement delivery platform, a trademark in the live broadcast picture is detected, and Gaussian blur processing is carried out on the trademark. When the audience terminal plays the live broadcast picture, the audience terminal tracks the sight of the user in real time under the condition of obtaining the authorization of the user, and counts the audience scale focusing on the trademark. The electronic device makes an advertisement placement decision according to the position information (i.e. target area) of the trademark to be detected in real time and the information such as the size of the audience of the trademark the sight of which is focusing on. The electronic device may be a server of a viewer end or an advertising platform. The main steps of the advertisement putting method comprise:
in step 2001, the host or the server of the advertisement delivery platform performs object detection and trademark detection on each frame of the live broadcast picture, and performs gaussian blur processing on the region where the trademark in the live broadcast picture is located (i.e., the target region).
Specifically, in the live broadcast process, object detection and trademark detection are performed on each frame of the live broadcast picture, so as to obtain an object detection frame, an object category name, a trademark detection frame coordinate and a trademark name in the picture (for example, a T-shirt and an "×" trademark on the T-shirt are detected). And (3) carrying out Gaussian blur processing within the range of the trademark detection frame (namely within the target area), wherein the processed effect is haziness of images in the trademark detection frame.
Step 2002: the server of the advertisement delivery platform classifies live video (i.e., current video).
Specifically, the server of the advertisement delivery platform updates and records the probability that the live video belongs to the category of each video in real time, and judges the category of the live video according to the recorded probability that the live video belongs to the category of each video.
In one example, the server may utilize a 3D convolutional neural network (e.g., an I3D model) to classify live video, and the classification may include shopping, cosmetic, food, travel, etc., and store the classification of live video for determining whether to trigger an advertisement.
For example, the server intercepts a segment of live video (for example, 3 seconds or 75 frames) at fixed time intervals (for example, 30 seconds), inputs the 75 frames of images into the I3D model, outputs the probability that the live video segment belongs to each category, and takes the category with the highest probability as the category of the live video. Over time, the probability that the live video belongs to each category is updated and recorded in real time, and the updating method can be as follows: the latest real-time probability that a live video belongs to a certain category is the average of the probabilities that the latest T (less than T take all) live video segments belong to the category. T is a positive integer. For example, t=5.
Step 2003: and the server identifies objects in the live broadcast picture, and determines the relevance according to the probability that the live broadcast video belongs to the determined category of the live broadcast video and the identified object set.
Specifically, objects in a live view are detected based on a target detection algorithm, such as a single-shot multi-box detector (Single Shot MultiBox Detector, SSD), and a set of object categories in the view, i.e., a first set of objects (Sr), is acquired in real time. The advertiser can set an interested object set, namely a second object set (S), for each type of live video, determine that the number of intersection elements of Sr and S is h, the number of elements of S is w, and the correlation r=h/w is the probability that the live video belongs to the determined type of live video.
Step 2004: the audience terminal judges users interested in a target area in the live broadcast picture based on the sight and emotion, determines the number of the users interested in the target area, and acquires user information of the users. Wherein the user information may be a user age.
In particular, the method of determining the user interested in the target area of the live view may refer to the related description of the first embodiment, and will not be described in detail herein. After determining the users interested in the target area, the server can capture the face information of the users by utilizing the front-end cameras of the user terminals, and according to the face images, the server performs user age identification based on an efficient network (EfficientNet) neural network and a regression algorithm in the novel CNN network, and the server counts and updates the age distribution data of the user groups in real time.
Step 2005: and carrying out advertisement delivery based on the blurred target area according to the category, the relevance, the triggering rule, the number of users interested in the target area, the acquired user information and the mapping relation of the delivery mode of the live video.
Specifically, when a preset trigger rule is satisfied, advertisement delivery is performed in a preset advertisement delivery mode. And determining the advertisement delivery mode according to the quantity of interested users or the age condition of the users. Among them, advertisement delivery modes have various choices.
In one example, the triggering rules may include, but are not limited to: the category of the live video is the same as the category of the advertisement; the correlation is larger than a first preset value; the target area is located in a preset area, wherein the preset area includes a middle area, an upper left area, an upper right area, a lower left area, a lower right area, and the like. And when the triggering rule is met, the server performs advertisement delivery, and when the data does not meet the triggering rule, the advertisement delivery is stopped.
In one example, the mapping relationship of the delivery method is a mapping relationship between the number of users interested in the target area and the delivery method. Specifically, the electronic device determines the advertisement delivery mode according to the number of users interested in the target area, namely, the number of users focusing on the trademark. For example, two preset values may be set, and when the preset value is higher than the second preset value, standard version advertisement delivery is performed, and when the preset value is higher than the third preset value, enhancement version advertisement delivery is performed. The standard version advertisement putting is to remove Gaussian blur processing and display an original picture, and the enhanced version advertisement putting is to remove Gaussian blur processing and locally amplify the original picture based on the center of a target area.
In another example, the mapping relationship of the delivery mode is a mapping relationship between the number of users older than the fourth preset value pair and the delivery mode. Specifically, the electronic device determines an advertisement delivery mode according to the age condition of the user. For example, enhanced advertising occurs when more than 50% of all users are over 60 years old; otherwise, standard version advertisement is put.
The foregoing is merely illustrative, and is not intended to limit the technical aspects of the present invention.
Compared with the prior art, the advertisement putting method provided by the embodiment determines the correlation degree between the advertisement and the current video based on the coincidence degree of the object in the current video and the related object of the advertisement. And under the condition that the correlation degree is larger than a first preset value, the advertisement is put in the target area, so that the correlation degree between the advertisement put in the target area and the current video is higher, and the advertisement putting precision is higher. In addition, the target area is the area where the trademark in the current video is located, manual calibration is not needed, labor cost is reduced, and the target area can be dynamically adjusted in the video, so that the flexibility is higher. In addition, the subsequent steps are executed again under the condition that the category of the advertisement is the same as that of the current video, so that the advertisement irrelevant to the current video can be eliminated, and the data processing amount is reduced.
The above steps of the methods are divided, for clarity of description, and may be combined into one step or split into multiple steps when implemented, so long as they include the same logic relationship, and they are all within the protection scope of this patent; it is within the scope of this patent to add insignificant modifications to the algorithm or flow or introduce insignificant designs, but not to alter the core design of its algorithm and flow.
A third embodiment of the present invention relates to an advertisement putting apparatus, as shown in fig. 3, comprising: an acquisition module 301 and a delivery module 302. The obtaining module 301 is configured to obtain a correlation degree between an advertisement and a current video; the correlation degree indicates the coincidence degree of the object in the current video and the related object of the advertisement; the putting module 302 is configured to put an advertisement in the target area if the correlation is greater than a first preset value; the target area is the area where the trademark in the current video is located.
It is to be noted that this embodiment is an example of a device corresponding to the first embodiment and the second embodiment, and can be implemented in cooperation with the first embodiment and the second embodiment. The related technical details mentioned in the first embodiment and the second embodiment are still valid in this embodiment, and in order to reduce repetition, a detailed description is omitted here. Accordingly, the related technical details mentioned in the present embodiment can also be applied to the first embodiment and the second embodiment.
It should be noted that each module in this embodiment is a logic module, and in practical application, one logic unit may be one physical unit, or may be a part of one physical unit, or may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, units that are not so close to solving the technical problem presented by the present invention are not introduced in the present embodiment, but this does not indicate that other units are not present in the present embodiment.
A fourth embodiment of the present invention relates to an electronic apparatus, as shown in fig. 4, including: at least one processor 401; and a memory 402 communicatively coupled to the at least one processor 401; wherein the memory 402 stores instructions executable by the at least one processor 401, the instructions being executable by the at least one processor 401 to enable the at least one processor 401 to perform the advertising method as mentioned in the above embodiments.
The electronic device includes: one or more processors 401, and a memory 402, one processor 401 being illustrated in fig. 4. The processor 401, the memory 402 may be connected by a bus or otherwise, in fig. 4 by way of example. Memory 402 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The processor 401 executes various functional applications of the device and data processing, i.e., implements the advertising method described above, by running non-volatile software programs, instructions and modules stored in the memory 402.
Memory 402 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store a list of options, etc. In addition, memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some implementations, the memory 402 may optionally include memory located remotely from the processor 401, which may be connected to an external device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in memory 402 that, when executed by one or more processors 401, perform the advertising method of any of the method embodiments described above.
The product may perform the method provided by the embodiment of the present application, and have the corresponding functional module and beneficial effect of performing the method, and technical details not described in detail in the embodiment of the present application may be referred to the method provided by the embodiment of the present application.
A fifth embodiment of the present invention relates to a computer-readable storage medium storing a computer program. The computer program implements the above-described method embodiments when executed by a processor.
That is, it will be understood by those skilled in the art that all or part of the steps in implementing the methods of the embodiments described above may be implemented by a program stored in a storage medium, where the program includes several instructions for causing a device (which may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps in the methods of the embodiments described herein. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples of carrying out the invention and that various changes in form and details may be made therein without departing from the spirit and scope of the invention.
Claims (6)
1. An advertising method, comprising:
acquiring the correlation degree between the advertisement and the current video; the relevance indicates the coincidence degree of the object in the current video and the related object of the advertisement; the calculation process of the correlation degree comprises the following steps: determining a first set of objects and a second set of objects; the method comprises the steps that a first object set comprises names of objects in a current video, a second object set comprises names of related objects of advertisements, and the object set corresponding to the category of the current video is taken as the second object set through obtaining the category of the current video; calculating the correlation according to the number of elements of the intersection of the first object set and the second object set, the number of elements of the second object set and the probability that the current video belongs to the category of the current video, wherein the correlation= (the number of elements of the intersection/the number of elements of the second object set) is multiplied by the probability that the current video belongs to the category of the current video;
if the correlation degree is larger than a first preset value, putting the advertisement in a target area; the target area is an area where a trademark on the object in the current video is located, and the target area is subjected to fuzzy processing;
wherein, the advertising in the target area comprises: determining a number of users interested in the target area; if the number of the interested users is larger than a second preset value, removing fuzzy processing of the target area; and if the number of the interested users is larger than a third preset value, removing the fuzzy processing of the target area, and carrying out local amplification processing by taking the center of the target area as a reference.
2. The advertising method as recited in claim 1, further comprising, prior to obtaining the correlation of the advertisement with the current video:
acquiring the category of the current video;
and determining that the category of the advertisement is the same as the category of the current video.
3. The advertising method as recited in claim 2, wherein the obtaining the category of the current video includes:
intercepting the video clip of the current video according to a preset intercepting rule;
determining and recording the probability that the video clip belongs to each category;
determining the probability that the current video belongs to each category according to the probability that the video fragment belongs to each category;
and determining the category of the current video according to the probability that the current video belongs to each category.
4. An advertising device, comprising: an acquisition module and a delivery module;
the acquisition module is used for acquiring the correlation degree between the advertisement and the current video; the relevance indicates the coincidence degree of the object in the current video and the related object of the advertisement; the calculation process of the correlation degree comprises the following steps: determining a first set of objects and a second set of objects; the method comprises the steps that a first object set comprises names of objects in a current video, a second object set comprises names of related objects of advertisements, and the object set corresponding to the category of the current video is taken as the second object set through obtaining the category of the current video; calculating the correlation according to the number of elements of the intersection of the first object set and the second object set, the number of elements of the second object set and the probability that the current video belongs to the category of the current video, wherein the correlation= (the number of elements of the intersection/the number of elements of the second object set) is multiplied by the probability that the current video belongs to the category of the current video;
the putting module is used for putting the advertisement in a target area if the correlation degree is larger than a first preset value; the target area is an area where a trademark on the object in the current video is located, and the target area is subjected to fuzzy processing; wherein, the advertising in the target area comprises: determining a number of users interested in the target area; if the number of the interested users is larger than a second preset value, removing fuzzy processing of the target area; and if the number of the interested users is larger than a third preset value, removing the fuzzy processing of the target area, and carrying out local amplification processing by taking the center of the target area as a reference.
5. An electronic device, comprising: at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the advertising method of any one of claims 1 to 3.
6. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the advertisement delivery method of any one of claims 1 to 3.
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| CN113239304B (en) * | 2021-04-30 | 2023-03-28 | 西安交通大学 | Advertisement processing method |
| CN113205365A (en) * | 2021-05-07 | 2021-08-03 | 武汉连岳传媒有限公司 | Mobile internet advertisement intelligent delivery management method based on big data analysis and cloud service platform |
| CN113742542B (en) * | 2021-09-07 | 2023-08-18 | 咪咕动漫有限公司 | Event advertisement putting method, device, equipment and computer readable storage medium |
| CN113988906B (en) * | 2021-10-13 | 2024-05-28 | 咪咕视讯科技有限公司 | Advertisement putting method and device and computing equipment |
| CN114339319B (en) * | 2021-12-13 | 2023-12-29 | 北京达佳互联信息技术有限公司 | Video pushing method and device, video pushing server and storage medium |
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