CN111861572A - 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, an advertisement delivery method includes the following steps: acquiring the correlation degree of the advertisement and the current video; the relevancy 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, advertising is put in the target area; the target area is an area where a trademark in the current video is located. The embodiment can improve the advertisement putting precision.
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 overall rise of the live broadcast industry, the broadcast mode of the live broadcast is more and more popular, and more users are attracted. In the live broadcasting process, a plurality of advertisement information can be displayed on the live broadcasting platform.
However, the inventors found that at least the following problems exist in the prior art: the current method for delivering advertisements is random delivery, which causes low delivery precision.
Disclosure of Invention
An object of embodiments of the present invention is to provide an advertisement delivery method, an advertisement delivery apparatus, an electronic device, and a computer-readable storage medium, which enable advertisement delivery accuracy to be improved.
In order to solve the above technical problem, an embodiment of the present invention provides an advertisement delivery method, including the following steps: acquiring the correlation degree of the advertisement and the current video; the relevancy 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, advertising is put in the target area; the target area is an area where a trademark in the current video is located.
An embodiment of the present invention further provides an advertisement delivery device, including: the system comprises an acquisition module and a delivery module; the acquisition module is used for acquiring the correlation degree of the advertisement and the current video; the relevancy indicates the coincidence degree of the object in the current video and the related object of the advertisement; the releasing module is used for releasing advertisements in the target area if the correlation degree is greater than a first preset value; the target area is an area where a trademark in the current video is located.
An embodiment of the present invention also provides an electronic device, including: 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 advertisement delivery method as mentioned in the above embodiments.
The embodiment of the invention also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the advertisement putting method mentioned in the above embodiment.
Compared with the prior art, the method and the device for determining the relevancy of the advertisement and the current video are 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 relevance is greater than the first preset value, the advertisements are launched in the target area, so that the relevance between the advertisements launched in the target area and the current video is higher, and the advertisement launching precision is higher. In addition, the target area is the area where the trademark is located in the current video, manual calibration is not needed, labor cost is reduced, the target area can be dynamically adjusted through the video, and flexibility is higher.
In addition, acquiring 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 set of objects comprises names of objects in the current video and the second set of objects comprises names of related objects of the advertisement;
and calculating the correlation according to the number of the intersection elements of the first object set and the second object set.
In addition, calculating the correlation according to the number of the intersection elements of the first object set and the second object set comprises: and calculating the correlation according to the number of the elements of the intersection, the number of the elements of the second object set and the probability that the current video belongs to the category of the current video.
In addition, before obtaining the relevance of the advertisement and the current video, the method further comprises the following steps: acquiring the category of a current video; it is determined that the category of the advertisement is the same as the category of the current video.
In addition, the obtaining of the category of the current video includes: intercepting a video clip of the current video according to a preset interception rule; determining and recording the probability of video clips belonging to each category; determining the probability that the current video belongs to each category according to the probability that the video clip belongs 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 placed in the target area, and the method 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 a second preset value, the advertisement delivery method further comprises: and if the number of the interested users is greater than the third preset value, or the number of the interested users with the ages greater than the fourth preset value is greater than the fifth preset value, amplifying the target area.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a flowchart illustrating an advertisement delivery method according to a first embodiment of the present invention;
fig. 2 is a flowchart illustrating an advertisement delivery method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an advertisement delivery apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and 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, what is meant is "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. In addition, in the description of the present disclosure, "a plurality" means two or more unless otherwise specified.
A first embodiment of the present invention relates to an advertisement delivery method including the steps of: acquiring the correlation degree of the advertisement and the current video; the relevancy 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, advertising is put in the target area; the target area is an area where a trademark in the current video is located. In this embodiment, the degree of correlation between the advertisement and the current video is determined based on the degree of coincidence between the object in the current video and the object related to the advertisement. And under the condition that the relevance is greater than the first preset value, the advertisements are launched in the target area, so that the relevance between the advertisements launched in the target area and the current video is higher, and the advertisement launching precision is higher. In addition, the target area is the area where the trademark is located in the current video, manual calibration is not needed, labor cost is reduced, the target area can be dynamically adjusted through the video, and flexibility is higher.
The following describes implementation details of the time synchronization method of the present embodiment, and the following description is provided only for easy understanding and is 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, and specifically includes the following steps, as shown in fig. 1:
step 101: and acquiring the relevance of the advertisement and the current video.
Specifically, the relevance indicates the degree of coincidence of an object in the current video and a related object of the advertisement.
In one embodiment, the calculation of the correlation includes: determining a first set of objects and a second set of objects; wherein the first set of objects comprises names of objects in the current video and the second set of objects comprises names of related objects of the advertisement; and calculating the correlation according to the number of the intersection elements of the first object set and the second object set. Specifically, the electronic device stores the name of the object related to the advertisement. When the number of the intersection elements is more, the correlation degree is higher. For example, the correlation is the number of elements in the intersection/the number of elements in the second object set. Wherein the relevant objects of the advertisement can be set by the advertiser so as to deliver the advertisement according to the intention of the advertiser.
It is worth mentioning that the name of the relevant object of the advertisement set based on the intention of the advertiser is stored in the electronic device, so that the intention of the advertiser can be fully considered when calculating the degree of correlation. Because the advertiser knows the commodity that the advertisement corresponds more, combines advertiser's wish to carry out advertisement putting for advertisement putting is more accurate.
In one embodiment, the second set of objects is a set of objects of the advertisement that correspond to a category to which the current video belongs. Specifically, the electronic device stores therein an object set corresponding to a category of a video related to a product corresponding to the advertisement. When calculating the correlation degree, the category of the current video is obtained 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 set of objects corresponding to the food category of the advertisement is set as the second set of objects.
In one embodiment, calculating the correlation according to the number of elements of the intersection of the first object set and the second object set includes: and calculating the correlation according to the number of the elements of the intersection, the number of the elements of the second object set and the probability that the current video belongs to the category of the current video. Specifically, the relevance (number of elements of intersection/number of elements of second object set) is 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 greater than the first preset value, putting the advertisement in the target area.
Specifically, the target area is an area where a trademark in the current video is located. 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 space.
The following illustrates how the electronic device places advertisements in the target area.
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 can be set according to the requirement, and is not limited herein.
It is worth mentioning that the target area is subjected to fuzzy processing, so that the conflict emotion of the user on commodities appearing in the video can be reduced. When a large number of 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 greater than the third preset value, or the number of the interested users with the ages greater than the fourth preset value is greater than the fifth preset value, amplifying the target area. The third preset value is greater than the second preset value, the fourth preset value can be set to any age according to requirements, for example, to any integer from 40 to 70, and the fifth preset value can be set to any positive integer.
It is worth mentioning that the target area is amplified, so that the user can see the trademark in the target area more clearly.
It should be noted that, as will be understood by those skilled in the art, in practical applications, other conditions may also be set as the trigger conditions for the electronic device to perform the amplification processing on the target area, for example, the trigger conditions may also be set as: the ratio of the number of users with ages larger than the fourth preset value to the number of users watching the video among the interested users is larger than the preset ratio, and the embodiment does not limit the trigger condition for amplifying 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, it is determined that the user is 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 longer than a sixth preset value, and/or the sight line information of the user indicates that the times that the sight line of the user moves to the advertisement space is longer 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. The sixth preset value can be set to any time length as required, for example, to any time length in 3s-10 s. The seventh preset value can be set to any positive integer as required. 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 of obtaining the user authorization, the terminal of the user tracks the sight of the user in real time by using the front camera, identifies the expression of the user, and judges whether the attention point of the sight of the user is in the target area, wherein the judgment criteria include but are not limited to:
a) and if the duration that the coordinates of the attention point of the sight line of the user on the screen are positioned in the range of the target area exceeds 5 seconds, the user is considered to pay attention to the target area.
b) The movement of the user's gaze from outside the target area to within the target area is referred to as a dynamic focus. And if the number of times that the user dynamically focuses on a certain target area exceeds 3 times within 1 minute, the user is considered to focus on the target area.
c) If the user focuses on the target area (i.e. the conditions shown by a or b are met) and the expression indicates that the user's emotion is positive, i.e. the expression is not negative (negative expressions include angry, sad etc.), it is determined that the user is 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 relevance degree with the current video being greater than a first preset value in the target area. The advertisement may be an advertisement video or an advertisement image in an advertisement library, and is not limited herein.
Optionally, in the process of playing the advertisement with the relevance of the target area and the current video being greater than the first preset value, a trigger condition for performing amplification processing on the target area may be set. And when a trigger condition for carrying out amplification processing on the target area is reached, carrying out amplification processing on the target area. The trigger condition for performing the amplification process on the target area can be set as required. For example, as in the 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 with ages 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 a link of a commodity related to the advertisement, and after the link is triggered, the user jumps to a purchase interface of the commodity, so that the advertisement conversion rate is improved.
The above description is only for illustrative purposes and does not limit the technical aspects of the present invention.
Compared with the prior art, the advertisement delivery method provided in 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 object related to the advertisement. And under the condition that the relevance is greater than the first preset value, the advertisements are launched in the target area, so that the relevance between the advertisements launched in the target area and the current video is higher, and the advertisement launching precision is higher. In addition, the target area is the area where the trademark is located in the current video, manual calibration is not needed, and labor cost is reduced. The target area can be dynamically adjusted by video, and the flexibility is higher.
A second embodiment of the present invention relates to an advertisement delivery method. The embodiment is a further improvement of the first embodiment, and the specific improvements are as follows: before obtaining the correlation degree, obtaining the category of the current video; it is determined that the category of the advertisement is the same as the category of the current video.
Specifically, as shown in fig. 2, the present embodiment includes steps 201 to 204, where steps 203 and 204 are substantially the same as steps 101 and 102 in the first embodiment, respectively, and are not repeated here. The following mainly introduces the differences:
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 the category of the current video includes: intercepting a video clip of the current video according to a preset interception rule; determining and recording the probability of video clips belonging to each category; determining the probability that the current video belongs to each category according to the probability that the video clip belongs 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: it is determined that the category of the advertisement is the same as the category of the current video.
Specifically, if the advertisement category is the same as the category of the current video, step 203 and step 204 are performed, and if the advertisement category is different from the category of the current video, the advertisement placement is not performed, that is, step 203 and step 204 are not performed.
It is worth mentioning that the subsequent steps are executed under the condition that the category of the advertisement is the same as that of the current video, so that the advertisement which is irrelevant to the current video can be eliminated, and the data processing amount is reduced.
Step 203: and acquiring the relevance of the advertisement and the current video.
Step 204: and if the correlation degree is greater than the first preset value, putting the advertisement in the target area.
The following exemplifies the procedure of the advertisement delivery method according to the present embodiment with reference to a live broadcast scenario. Those skilled in the art will understand that the live scene is only an example, and the advertisement delivery method may also be applied to other application scenes, and the application process of the advertisement delivery method may refer to the application process of the live scene.
In the live broadcasting process, when the anchor terminal records the live broadcasting picture, the anchor terminal or a server of the advertisement putting platform intelligently identifies the live broadcasting picture in real time, detects a trademark in the live broadcasting picture and performs Gaussian fuzzy processing on the trademark. When the audience plays the live broadcast picture, the audience tracks the sight of the user in real time under the condition of obtaining the authorization of the user, and counts the audience scale paying attention to the trademark. The electronic equipment makes an advertisement putting decision according to the information such as the position information (namely the target area) of the detected trademark and the audience scale of the trademark concerned by sight line in real time. The electronic device may be a server of a viewer side or an advertisement delivery platform. The method for delivering the advertisement mainly comprises the following steps:
step 2001, the server of the anchor terminal or 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 area (i.e. the target area) where the trademark in the live broadcast picture is located.
Specifically, in the live broadcasting process, object detection and trademark detection are performed on each frame of a live broadcasting picture, and an object detection frame, an object type name, a trademark detection frame coordinate and a trademark name in the picture are obtained (for example, a T-shirt and a "×" trademark on the T-shirt are detected). In the range of the trademark detection frame (namely in the target area), Gaussian blur processing is carried out, and the processed effect is that the picture in the trademark frame is hazy.
Step 2002: the server of the advertising platform classifies the live video (i.e., the current video).
Specifically, a 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 classify the live video using a 3D convolutional neural network (e.g., I3D model), the categories may include shopping category, makeup category, food category, travel category, etc., and store the categories of the live video for determining whether to trigger the advertisement.
For example, the server intercepts a live video segment (e.g. 3 seconds or 75 frames) at regular intervals (e.g. 30 seconds), inputs the 75 frames of images into an I3D model, outputs the probability that the live video segment belongs to each category, and takes the category with the highest probability as the live video. And updating and recording the probability of the live video belonging to each category in real time as time goes on, wherein the updating method can be as follows: the latest real-time probability that the live video belongs to a certain category is the average value of the probabilities that the latest T (less than T) live video clips belong to the category. T is a positive integer. For example, T ═ 5.
Step 2003: and the server identifies the objects in the live broadcast picture and determines the correlation according to the probability that the live broadcast video belongs to the judged category of the live broadcast video and the identified object set.
Specifically, the object in the live broadcast picture is detected based on a target detection algorithm, such as a Single Shot multiple box detector (SSD), and an object class set, i.e., a first object set (Sr), in the picture is obtained 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 relevance r is h/w, and the probability that the live video belongs to the determined type of the live video.
Step 2004: the audience judges users interested in a target area in a live broadcast picture based on the sight line and the 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 the user age.
Specifically, the method for determining the interested user in the target area of the live view can refer to the related description of the first embodiment, and will not be described in detail here. After determining the users interested in the target area, the server can capture face information of the users by using a front-facing camera of the user terminal, and according to the face images, the server identifies the ages of the users based on an efficient network (EfficientNet) neural network and a regression algorithm in a novel CNN network, and the server counts and updates age distribution data of user groups in real time.
Step 2005: and advertising based on the fuzzified target area according to the category, the relevance, the trigger 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 an advertisement putting mode according to the number of interested users or the age condition of the users. Wherein, the advertisement putting mode has multiple choices.
In one example, the triggering rules may include, but are not limited to: the category of the live video is the same as that of the advertisement; the correlation degree is greater than a first preset value; the target area is located in a preset area, wherein the preset area comprises 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 trigger rule is met, the server carries out advertisement putting, and when the data does not meet the trigger rule, the advertisement putting is stopped.
In one example, the mapping relationship of the delivery modes is a mapping relationship between the number of users interested in the target area and the delivery modes. Specifically, the electronic device determines an advertisement delivery mode according to the number of users interested in the target area, namely, the number of users paying attention to 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, enhanced version advertisement delivery is performed. The standard version advertisement delivery refers to removing Gaussian blur processing to show an original picture, and the enhanced version advertisement delivery refers to removing the Gaussian blur processing and carrying out local amplification on the basis of the original picture by taking the center of a target area as a reference.
In another example, the mapping relationship of the putting modes is a mapping relationship between the number of users with ages larger than the fourth preset value pair and the putting modes. Specifically, the electronic device determines an advertisement delivery mode according to the age condition of the user. For example, when more than 50% of all users are over 60 years old, enhanced advertising is performed; otherwise, the standard version advertisement is put.
The above description is only for illustrative purposes and does not limit the technical aspects of the present invention.
Compared with the prior art, the advertisement delivery method provided in 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 object related to the advertisement. And under the condition that the relevance is greater than the first preset value, the advertisements are launched in the target area, so that the relevance between the advertisements launched in the target area and the current video is higher, and the advertisement launching precision is higher. In addition, the target area is the area where the trademark is located in the current video, manual calibration is not needed, labor cost is reduced, the target area can be dynamically adjusted through the video, and flexibility is higher. In addition, when the category of the advertisement is the same as that of the current video, the subsequent steps are executed, so that the advertisement irrelevant to the current video can be eliminated, and the data processing amount is reduced.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
A third embodiment of the present invention relates to an advertisement delivery device, as shown in fig. 3, including: an acquisition module 301 and a delivery module 302. The obtaining module 301 is configured to obtain a correlation between an advertisement and a current video; the relevancy indicates the coincidence degree of the object in the current video and the related object of the advertisement; the delivery module 302 is configured to deliver an advertisement in the target area if the correlation degree is greater than a first preset value; the target area is an area where a trademark in the current video is located.
It should be understood that this embodiment is an example of the apparatus corresponding to the first and second embodiments, and may be implemented in cooperation with the first and second embodiments. The related technical details mentioned in the first embodiment and the second embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art 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 referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements 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 to cause the at least one processor 401 to perform the advertisement delivery method as mentioned in the above embodiments.
The electronic device includes: one or more processors 401 and a memory 402, one processor 401 being exemplified in fig. 4. The processor 401 and the memory 402 may be connected by a bus or other means, and fig. 4 illustrates the connection by a bus as an example. Memory 402, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The processor 401 executes various functional applications and data processing of the device by running non-volatile software programs, instructions and modules stored in the memory 402, thereby implementing the advertisement delivery method described above.
The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store a list of options, etc. Further, the 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 embodiments, memory 402 may optionally include memory located remotely from 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 the memory 402 and, when executed by the one or more processors 401, perform the method of advertising in any of the method embodiments described above.
The product can execute the method provided by the embodiment of the application, has corresponding functional modules and beneficial effects of the execution method, and can refer to the method provided by the embodiment of the application without detailed technical details in the embodiment.
A fifth embodiment of the present invention relates to a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and 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 for 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 in practice.
Claims (10)
1. An advertisement delivery method, comprising:
acquiring the correlation degree of the advertisement and the current video; the relevance indicates a degree of coincidence of an object in the current video and a related object of the advertisement;
if the correlation degree is larger than a first preset value, the advertisement is put in a target area; and the target area is the area where the trademark in the current video is located.
2. The advertisement delivery method according to claim 1, wherein the obtaining of the relevancy of the advertisement to the current video comprises:
determining a first set of objects and a second set of objects; wherein the first set of objects includes names of objects in the current video and the second set of objects includes names of related objects of the advertisement;
and calculating the correlation according to the number of the intersection elements of the first object set and the second object set.
3. The advertisement delivery method according to claim 2, wherein the calculating the degree of correlation according to the number of elements of the intersection of the first object set and the second object set comprises:
and calculating the correlation according to the number of the elements of the intersection, the number of the elements of the second object set and the probability that the current video belongs to the category of the current video.
4. The advertisement delivery method according to claim 1, further comprising, before obtaining the relevance of the advertisement to the current video:
acquiring the category of the current video;
determining that the category of the advertisement is the same as the category of the current video.
5. The advertisement delivery method according to claim 4, wherein the obtaining the category of the current video comprises:
intercepting the video clip of the current video according to a preset interception rule;
determining and recording the probability of the video clips belonging to each category;
determining the probability that the current video belongs to each category according to the probability that the video clip belongs to each category;
and determining the category of the current video according to the probability that the current video belongs to each category.
6. The method of claim 1, wherein the target area is blurred, and the delivering the advertisement in the target area comprises:
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.
7. The advertisement delivery method according to claim 6, wherein if the number of interested users is greater than a second preset value, the advertisement delivery method further comprises:
and if the number of the interested users is greater than a third preset value, or the number of the interested users with the ages greater than a fourth preset value is greater than a fifth preset value, amplifying the target area.
8. An advertisement delivery device, comprising: the system comprises an acquisition module and a delivery module;
the acquisition module is used for acquiring the relevancy of the advertisement and the current video; the relevance indicates a degree of coincidence of an object in the current video and a related object of the advertisement;
the delivery module is used for delivering the advertisement in a target area if the correlation degree is greater than a first preset value; and the target area is the area where the trademark in the current video is located.
9. An electronic device, comprising: at least one processor; and the number of the first and second groups,
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 method of advertisement delivery according to any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the advertisement delivery method according to any one of claims 1 to 7.
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