CN115187307A - Advertisement putting processing method and device of virtual world - Google Patents
Advertisement putting processing method and device of virtual world Download PDFInfo
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Abstract
The embodiment of the specification provides a method and a device for processing advertisement putting in a virtual world, wherein the method for processing the advertisement putting in the virtual world comprises the following steps: estimating the visual angle based on the eye image of the user to obtain the visual angle direction of the user; the user eye image is acquired through an image sensor configured on an access device of the virtual world; inputting the user visual angle direction and image data of the advertisement delivered in the virtual world into a detection model to detect an advertisement attention area, and obtaining the advertisement attention area; constructing a virtual environment characteristic carrying the attention duration of the advertisement attention area; inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scores.
Description
Technical Field
The present document relates to the field of virtualization technologies, and in particular, to a method and an apparatus for processing advertisement placement in a virtual world.
Background
The virtual world provides a simulation of the real world and can even provide scenes that are difficult to implement in the real world, and thus the virtual world is increasingly applied to various scenes. In a virtual world scenario, a user logs in a three-dimensional virtual world with a specific ID and performs an activity using a virtual user role in the virtual world, and usually, different user roles each performing a different activity exist in the virtual world.
Disclosure of Invention
One or more embodiments of the present specification provide an advertisement placement processing method for a virtual world, including: and estimating the visual angle based on the eye image of the user to obtain the visual angle direction of the user. And the eye images of the user are acquired by an image sensor configured in the access equipment of the virtual world. And inputting the user visual angle direction and the image data of the advertisement delivered in the virtual world into a detection model to detect an advertisement attention area, and obtaining the advertisement attention area. And constructing a virtual environment characteristic carrying the attention duration of the advertisement attention area. Inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scores.
One or more embodiments of the present specification provide an advertisement placement processing apparatus for a virtual world, including: and the visual angle estimation module is configured to estimate a visual angle based on the eye image of the user to obtain the visual angle direction of the user. And the eye images of the user are acquired by an image sensor configured in the access equipment of the virtual world. And the area detection module is configured to input the user view direction and the image data of the advertisement delivered in the virtual world into a detection model to detect an advertisement attention area, so as to obtain the advertisement attention area. The characteristic construction module is configured to construct virtual environment characteristics carrying the attention duration of the advertisement attention area. And the score calculation module is configured to input the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement score model for advertisement score calculation, and determine target candidate advertisements in the candidate advertisements according to the obtained advertisement scores.
One or more embodiments of the present specification provide an advertisement placement processing apparatus of a virtual world, including: a processor; and a memory configured to store computer executable instructions that, when executed, cause the processor to: and estimating the visual angle based on the eye image of the user to obtain the visual angle direction of the user. And the eye images of the user are acquired by an image sensor configured in the access equipment of the virtual world. And inputting the user visual angle direction and the image data of the advertisement put in the virtual world into a detection model to detect the advertisement attention area, so as to obtain the advertisement attention area. And constructing a virtual environment characteristic carrying the attention duration of the advertisement attention area. Inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scores.
One or more embodiments of the present specification provide a storage medium storing computer-executable instructions that, when executed by a processor, implement the following: and estimating the visual angle based on the eye image of the user to obtain the visual angle direction of the user. And the eye images of the user are acquired by an image sensor configured in the access equipment of the virtual world. And inputting the user visual angle direction and the image data of the advertisement delivered in the virtual world into a detection model to detect an advertisement attention area, and obtaining the advertisement attention area. And constructing a virtual environment characteristic carrying the attention duration of the advertisement attention area. Inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scoring.
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In order to more clearly illustrate one or more embodiments or technical solutions in the prior art in the present specification, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive exercise;
fig. 1 is a process flow diagram of an advertisement placement processing method of a virtual world according to one or more embodiments of the present specification;
fig. 2 is a process flow diagram of an advertisement placement processing method applied to a virtual world of a virtual world scene according to one or more embodiments of the present specification;
fig. 3 is a schematic diagram of an advertisement placement processing apparatus of a virtual world according to one or more embodiments of the present specification;
fig. 4 is a schematic structural diagram of an advertisement placement processing device of a virtual world according to one or more embodiments of the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present specification, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.
An embodiment of a method for processing advertisement delivery in a virtual world provided in this specification:
according to the advertisement putting processing method of the virtual world, in the process of advertisement putting of the virtual world, the visual angle direction of a user is obtained through visual angle estimation based on the eye image of the user, the advertisement attention area is determined according to the visual angle direction of the user and the image data of the put advertisements put in the virtual world, feedback collection of advertisement putting of the virtual world is achieved by starting from the eye image of the user, further, the virtual environment characteristic including the attention duration of the advertisement attention area is built, the built virtual environment characteristic and the candidate advertisements to be put in the virtual world are input into an advertisement scoring model to be subjected to advertisement scoring calculation, the target candidate advertisements put in the virtual world are determined according to the obtained advertisement scoring of the candidate advertisements, and therefore on the basis of feedback collection of advertisement putting of the virtual world, more accurate and targeted advertisement putting is carried out in the virtual world, and on the basis of improving the advertisement putting effect in the virtual world, the conversion effect of the advertisements in the virtual world is improved.
Referring to fig. 1, the advertisement placement processing method for a virtual world provided in this embodiment specifically includes step S102 to step S108.
Step S102, estimating the visual angle based on the eye image of the user, and obtaining the visual angle direction of the user.
The eye image of the user in this embodiment refers to an image that includes eye features of the user and is acquired by an image sensor. Optionally, in a scene in which the user accesses the virtual world, the eye image of the user is acquired by an image sensor configured in the access device of the virtual world. The virtual world refers to a virtual reality-like world which is realized based on decentralized cooperation and has an open economic system, and optionally, decentralized transaction is carried out in the virtual world by generating non-homogeneous identification, and ownership of virtual assets is possessed through the transaction. The access device of the Virtual world may be a VR (Virtual Reality) device, an AR (Augmented Reality) device, or the like connected to the Virtual world, for example, a head-mounted VR device connected to the Virtual world.
Optionally, the user eye image includes: eye color images (RGB images) and/or eye infrared images, respectively, the access device being configured with an image sensor comprising: the eye feedback collection system comprises an image sensor (an image sensor supporting RGB image collection) for collecting eye color images and/or an infrared sensor for collecting eye infrared images, so that the accuracy of visual angle estimation is improved through multi-mode collection of the eye images of a user, and the accuracy of feedback collection of the user for advertisement delivery in a virtual world is improved through the multi-mode eye images of the user.
In practical application, in order to improve the image acquisition quality and further improve the acquired image quality, the image acquisition quality can be improved by adjusting the acquisition mode in the process of acquiring the eye image features by using the image sensor, specifically, the acquisition parameters of the image sensor can be adjusted according to a preset time interval in a non-advertisement delivery state, and the eye images of the users with preset number are acquired after the acquisition parameters are adjusted; such as adjusting the orientation and/or focal length of the image sensor and the infrared sensor every 1s, and acquiring 30 frames of user eye images after the adjustment. In the advertisement delivery state, the user eye image may be acquired according to a preset image acquisition frequency, for example, the user eye image may be acquired according to an acquisition frequency of acquiring 30 images in 1 s.
In specific implementation, in order to improve estimation efficiency of perspective estimation based on the user eye image, the perspective estimation may be performed through a perspective estimation model, specifically, in a perspective estimation process, the user eye image is input into the perspective estimation model for perspective estimation, and the user perspective direction is output. The user view direction refers to a sight attention direction when a user watches advertisements or other objects in the virtual world through the access device.
The training of the perspective estimation model can be completed in advance, for example, model training of the perspective estimation model is performed on a cloud server, specifically, in the training process of the perspective estimation model, a training sample can be generated through a data generation network, specifically, random gaussian noise and corresponding angle data are input into the data generation network, and an image at a corresponding angle is generated and output; in addition, on the basis that the view angle estimation model comprises a view angle estimation network, a data generation network is added to the view angle estimation model, the data generation network is used for generating and outputting an image at a corresponding angle according to input random Gaussian noise and corresponding angle data, and the view angle estimation network carries out view angle estimation according to the image generated by the data generation network and outputs a view angle direction. Further, a loss function can be constructed in the model training process, for example, content loss, countermeasure loss and angle estimation loss of a generated image are introduced into the loss function, corresponding loss weights are distributed to the three losses, the loss function is constructed based on the three losses and the corresponding loss weights, and in the training process, network training is performed based on the network structure and the loss function until a view angle estimation model is obtained after network convergence.
Besides the implementation manner of inputting the eye images of the user into the visual angle estimation model for visual angle estimation to obtain the visual angle direction of the user, the visual angle estimation can be performed in the following manner: and establishing a mapping relation between the eye image of the user and the world coordinates of the virtual world, and determining a mapping direction of the eye image of the user in the virtual world as a view angle attention direction based on the mapping relation.
As described above, in order to improve the conversion rate of advertisement delivery in the virtual world on the basis that the eye image of the user includes the eye color image and the eye infrared image, in this embodiment, the conversion rate of advertisement delivery in the virtual world may be improved by improving the image quality of the eye color image and the eye infrared image, and in an optional implementation manner provided by this embodiment, before performing perspective estimation based on the eye image of the user, the eye color image and the eye infrared image are aligned, and a multi-modal quality score is calculated based on the alignment feature points of the eye color image and the eye infrared image obtained after alignment;
if the multi-mode quality score is smaller than a preset quality score threshold value, eye color image acquisition and eye infrared image acquisition are carried out again;
and if the multi-mode quality score is larger than or equal to a preset quality score threshold value, executing a processing process of estimating the visual angle based on the eye image of the user.
Optionally, the multi-modal quality score is calculated by the following method:
calculating the feature similarity of the aligned eye color image and the aligned eye infrared image based on the aligned feature points of the aligned eye color image and the aligned eye infrared image;
calculating the multi-modal quality score according to the feature similarity and a preset constant; wherein the multi-modal quality score is equal to a ratio of the preset constant to a square of the feature similarity. Specifically, the feature similarity may be obtained by using a similarity algorithm, for example, a cosine similarity algorithm is used to calculate the feature similarity between the eye color image after alignment and the eye infrared image after alignment.
In the process of determining the alignment feature points of the aligned eye color image and the aligned eye infrared image, in order to improve the processing efficiency, the eye key point detection model can be trained to detect the eye key feature points of the eye color image and the eye infrared image by using the eye key point detection model, so that the alignment feature points are determined on the basis of the eye key feature points.
In the process of aligning the eye color image and the eye infrared image, the eye color image and the eye infrared image may be aligned with each other, and in this case, when performing the feature similarity calculation, the feature similarity between the aligned eye color image and the aligned eye infrared image is calculated; in addition, in the process of aligning the eye color image and the eye infrared image, the eye color image and the eye infrared image may be aligned, that is: only carrying out alignment processing on the eye color image to align the eye color image with the eye infrared image, and under the condition, when carrying out feature similarity calculation, calculating the feature similarity of the eye infrared image and the aligned eye color image; the eye infrared image may also be aligned with the eye color image, i.e.: in this case, when the feature similarity calculation is performed, the feature similarity between the eye color image and the eye infrared image after alignment is calculated.
On the basis, in order to further improve the image quality of the eye color image and the eye infrared image and further improve the advertisement delivery conversion rate in the virtual world, the time difference between the acquisition time of the eye color image and the acquisition time of the eye infrared image can be calculated before the eye color image and the eye infrared image are aligned and the multi-mode quality score is calculated, if the time difference is smaller than a preset time threshold, the alignment and the multi-mode quality score calculation processing are carried out on the eye color image and the eye infrared image, or the processing process of inputting the user eye image into a viewing angle estimation model to carry out viewing angle estimation is executed; and if the time difference value is greater than or equal to the preset time threshold value, the eye color image acquisition and the eye infrared image acquisition are carried out again.
And step S104, inputting the user visual angle direction and the image data of the advertisement delivered in the virtual world into a detection model to detect an advertisement attention area, and obtaining the advertisement attention area.
In specific implementation, on the basis of obtaining the user view direction, the user view direction and image data of advertisements launched in the virtual world are input into a detection model to detect an advertisement attention area, specifically, the attention area of the advertisements launched in the virtual world is detected when a user watches the virtual world through an access device, so as to determine which area the sight attention area of the user visits the virtual world through the access device, thereby realizing feedback collection of advertisement launching in the virtual world from the user eye image. The released advertisements refer to advertisements which are released in the virtual world currently; the image data of the advertisement is an advertisement image required for advertisement putting and displaying in the virtual world. Optionally, the delivered advertisements delivered in the virtual world include asset advertisements that non-homogenously identify the corresponding virtual assets.
In this embodiment, the detection model may be trained in advance, specifically, a pre-constructed model to be trained using the fast R-CNN architecture may be trained based on training samples, the training samples are user view directions and corresponding advertisement data for delivery in the virtual world, and the detection model is obtained after training is completed.
In addition, in an optional implementation manner provided by this embodiment, the detection of the advertisement attention area performed by the detection model is further implemented by adopting the following manner: determining a three-dimensional view position of the user view direction mapped in the virtual world; and detecting an image area corresponding to the three-dimensional visual angle position in the image data of the delivered advertisement as the advertisement attention area.
It should be noted that, in the implementation manner that the user perspective direction and the image data of the delivered advertisements in the virtual world are input into the detection model to detect the advertisement attention area, the advertisement attention area may be determined according to the user perspective direction and the image data of the delivered advertisements in the virtual world, and a new implementation manner is formed with the other processing steps provided in this embodiment, specifically, in the process of determining the advertisement attention area according to the user perspective direction and the image data of the delivered advertisements in the virtual world, the three-dimensional perspective position mapped in the virtual world by the user perspective direction is determined first; and then detecting an image area corresponding to the three-dimensional visual angle position in the image data of the delivered advertisement as the advertisement attention area.
In addition, the implementation manner that the user viewing direction and the image data of the advertisement delivered in the virtual world are input into the detection model for detecting the advertisement attention area provided above may also be replaced by detecting the user attention area in the virtual world based on the user viewing direction and the delivered advertisement in the virtual world, and forming a new implementation manner with the other processing steps provided in this embodiment, specifically in the process of detecting the user attention area in the virtual world, first determining the viewing angle area range mapped in the virtual world by the user viewing direction, determining the advertisement attention body based on the user viewing direction and the image data of the advertisement delivered in the virtual world, and determining the advertisement attention area according to the viewing angle area range and the corresponding body area range of the advertisement attention body in the virtual world; the method comprises the steps that an advertisement attention body is determined based on a user view direction and image data of advertisements launched in the virtual world, and the advertisement attention body can be obtained by inputting the user view direction and the image data of the advertisements launched in the virtual world into a corresponding attention body detection model to perform advertisement attention body detection; the advertisement attention area is an intersection area of the visual angle area range and the main body area range.
In an optional implementation manner provided by this embodiment, before the inputting the user viewing angle direction and the image data of the delivered advertisement in the virtual world into the detection model to detect the advertisement attention area, the delivering process of the delivered advertisement in the virtual world is performed, and the delivering process specifically includes: rendering an advertisement image based on the image data of the delivered advertisement, and outputting a rendering result to the access equipment; the delivered advertisements are randomly selected and determined in an advertisement pool and/or a sequence advertisement, or the delivered advertisements are obtained by matching in the advertisement pool and/or the sequence advertisement based on user interest data. The sequential advertisement refers to an advertisement set composed of a plurality of advertisements with certain content relevance or delivery relevance, and a corresponding delivery sequence can be specified for the advertisements with content relevance in the advertisement set.
And step S106, constructing the virtual environment characteristics carrying the attention duration of the advertisement attention area.
After the advertisement attention area is obtained, in this step, a virtual environment feature carrying attention duration of the advertisement attention area is constructed. Optionally, the attention duration of the advertisement attention area is calculated by the following method: and calculating the acquisition time span of the advertisement image as the attention duration according to the acquisition time of the advertisement image to which the advertisement attention area belongs.
Further, in order to improve the feature comprehensiveness of the virtual environment feature, the accuracy of performing advertisement score calculation on candidate advertisements in a virtual world based on the virtual environment feature is improved, and on the basis that the virtual environment feature carries the attention duration of the advertisement attention area, the virtual environment feature may also carry the user attention, in an optional implementation manner provided in this embodiment, the user attention is calculated in the following manner:
extracting a first eye feature in an eye image of a user in an advertisement delivery state and a second eye feature in the eye image of the user in a non-delivery state through an image segmentation algorithm;
calculating the user attention based on the first eye feature and the second eye feature.
Or, on the basis that the virtual environment feature carries the attention duration of the advertisement attention area, the virtual environment feature may further carry an advertisement subject feature, and optionally, the advertisement subject feature includes: and the advertisement subject characteristics are obtained by carrying out characteristic extraction on the advertisement image of the advertisement, and/or the attention subject characteristics are obtained by carrying out characteristic extraction on the sub-image of the area corresponding to the attention area of the advertisement.
Further, in order to improve the feature comprehensiveness of the virtual environment feature, after the improvement, the accuracy of calculating the advertisement score of the candidate advertisement in the virtual world based on the virtual environment feature is improved, and on the basis that the virtual environment feature carries the attention duration and the user attention of the advertisement attention area, the virtual environment feature may further carry an advertisement subject feature, optionally, the advertisement subject feature includes: and the advertisement subject characteristics are obtained by carrying out characteristic extraction on the advertisement image of the advertisement, and/or the attention subject characteristics are obtained by carrying out characteristic extraction on the sub-image of the area corresponding to the attention area of the advertisement. Specifically, in the process of feature extraction from the advertisement image of the advertisement or feature extraction from the region sub-image corresponding to the advertisement attention region, feature extraction may be performed by a pre-trained feature extraction model (for example, imageNet model).
In specific implementation, in the process of constructing the virtual environment feature carrying the attention duration of the advertisement attention area, under the condition of only carrying the attention duration of the advertisement attention area, in the process of constructing the virtual environment feature based on the attention duration of the advertisement attention area, vectorizing the attention duration of the advertisement attention area, and taking the obtained attention duration vector as the virtual environment feature.
In addition, in the process of constructing the virtual environment feature based on the attention duration of the advertisement attention area and the attention degree of the user under the condition of carrying the attention duration and the attention degree of the user of the advertisement attention area, optionally, the following method is adopted for construction: and vectorizing the attention duration and the user attention to obtain an attention duration vector and an attention vector, carrying out vector splicing on the attention duration vector and the attention vector, and taking the obtained spliced vector as the virtual environment characteristic.
Or, in the process of constructing the virtual environment feature based on the attention duration and the advertisement subject feature of the advertisement attention area under the condition of carrying the attention duration and the advertisement subject feature of the advertisement attention area, optionally, the following method is adopted for construction: vectorizing the concerned time length and the advertisement main body characteristics to obtain a concerned time length vector and a main body characteristic vector, carrying out vector splicing on the concerned time length vector and the main body characteristic vector, and taking the obtained spliced vector as the virtual environment characteristics.
Or, in the process of constructing the virtual environment feature based on the attention duration, the user attention and the advertisement subject feature of the advertisement attention area, optionally, the following method is adopted to construct, under the condition that the attention duration, the user attention and the advertisement subject feature of the advertisement attention area are carried:
vectorizing the concerned time length, the user concerned degree and the advertisement main body characteristic to obtain a concerned time length vector, a concerned degree vector and a main body characteristic vector;
and carrying out vector splicing on the attention duration vector, the attention degree vector and the main characteristic vector, and taking the obtained spliced vector as the virtual environment characteristic.
And S108, inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scoring.
Optionally, the advertisement scoring model includes: a reinforcement learning model constructed based on a reinforcement learning algorithm; wherein, the input of the reinforcement learning model in the model training process comprises: and the virtual environment characteristics are obtained by vectorizing and vector splicing the attention duration, the user attention and the advertisement main body characteristics of the advertisement samples serving as training samples. Particularly, in the model training process, corresponding loss functions can be configured, and training loss calculation is performed through the loss functions, so that more efficient model training is performed under the constraint of training loss.
In the specific implementation process, in the process of carrying out advertisement score calculation through an advertisement score model, carrying out advertisement score calculation on the virtual environment characteristics and each candidate advertisement input advertisement score model once respectively, and obtaining the advertisement score of each advertisement after inputting in sequence; in addition, when supported by the advertisement scoring model, the virtual environment feature may be input to the advertisement scoring model together with each candidate advertisement to perform advertisement scoring calculation for each candidate advertisement, and the advertisement score for each candidate advertisement may be output. After the ad scores for the candidate ads are obtained, targeted ones of the candidate ads are determined based on the ad scores, such as determining the highest scoring candidate ad as the targeted candidate ad.
In practical application, after determining a target candidate advertisement for advertisement placement in a virtual world, a placement time point for advertisement placement in the virtual world may be further determined, and placement processing of the target candidate advertisement is performed at the placement time point.
The following description will further explain the advertisement putting processing method of the virtual world provided in this embodiment with reference to fig. 2 by taking an application of the advertisement putting processing method of the virtual world provided in this embodiment in a virtual world scene as an example, and with reference to fig. 2, the advertisement putting processing method of the virtual world applied in the virtual world scene specifically includes the following steps.
Step S202, aligning the eye color image and the eye infrared image, and calculating a multi-mode quality score based on alignment characteristic points of the eye color image and the eye infrared image obtained after alignment;
if the multi-modal quality score is greater than or equal to the preset quality score threshold, executing step S204;
and if the multi-mode quality score is smaller than the preset quality score threshold value, the eye color image acquisition and the eye infrared image acquisition are carried out again.
And step S204, inputting the eye color image and the eye infrared image into the visual angle estimation model for visual angle estimation to obtain the visual angle direction of the user.
Step S206, inputting the user visual angle direction and the image data of the virtual world for advertising into the detection model to detect the advertising attention area, and obtaining the advertising attention area.
Step S208, calculating the attention duration and the user attention of the advertisement attention area, and extracting the advertisement main body characteristics from the image data.
Step S210, the concerned time length, the user concerned degree and the advertisement subject feature are vectorized to obtain a concerned time length vector, a concerned degree vector and a subject feature vector.
And step S212, carrying out vector splicing on the attention duration vector, the attention degree vector and the main body characteristic vector, and taking the obtained spliced vector as the virtual environment characteristic.
And step S214, inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scores.
Step S216, determining the placement time point of the advertisement placement in the virtual world, and performing placement processing of the target candidate advertisement at the placement time point.
An embodiment of an advertisement delivery processing apparatus in a virtual world provided in this specification is as follows:
in the foregoing embodiment, a method for processing advertisement placement in a virtual world is provided, and correspondingly, an apparatus for processing advertisement placement in a virtual world is also provided, which is described below with reference to the accompanying drawings.
Referring to fig. 3, a schematic diagram of an advertisement placement processing device of a virtual world provided in this embodiment is shown.
Since the device embodiments correspond to the method embodiments, the description is relatively simple, and the relevant portions may refer to the corresponding description of the method embodiments provided above. The device embodiments described below are merely illustrative.
The present embodiment provides an advertisement placement processing apparatus in a virtual world, including:
an angle-of-view estimation module 302 configured to perform angle-of-view estimation based on the eye image of the user, and obtain a direction of the angle of view of the user; the user eye image is acquired through an image sensor configured on an access device of the virtual world;
the region detection module 304 is configured to input the user view direction and image data of the delivered advertisements in the virtual world into a detection model for advertisement attention region detection, so as to obtain an advertisement attention region;
a feature construction module 306 configured to construct a virtual environment feature carrying a focus duration of the advertisement focus area;
and the score calculation module 308 is configured to input the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement score model for advertisement score calculation, and determine target candidate advertisements in the candidate advertisements according to the obtained advertisement scores.
The embodiment of the advertisement putting processing device of the virtual world provided by the present specification is as follows:
on the basis of the same technical concept, corresponding to the above-described advertisement placement processing method for a virtual world, one or more embodiments of the present specification further provide an advertisement placement processing device for a virtual world, where the advertisement placement processing device for a virtual world is configured to execute the above-described advertisement placement processing method for a virtual world, and fig. 4 is a schematic structural diagram of the advertisement placement processing device for a virtual world provided in one or more embodiments of the present specification.
The present embodiment provides an advertisement placement processing apparatus for a virtual world, including:
as shown in fig. 4, the advertisement delivery processing device of the virtual world may have a relatively large difference due to different configurations or performances, and may include one or more processors 401 and a memory 402, where one or more storage applications or data may be stored in the memory 402. Memory 402 may be, among other things, transient storage or persistent storage. The application program stored in memory 402 may include one or more modules (not shown), each of which may include a series of computer-executable instructions in an ad placement processing device of the virtual world. Still further, the processor 401 may be configured to communicate with the memory 402 to execute a series of computer-executable instructions in the memory 402 on an ad placement processing device in the virtual world. The advertisement placement processing devices of the virtual world may also include one or more power sources 403, one or more wired or wireless network interfaces 404, one or more input/output interfaces 405, one or more keyboards 406, and the like.
In a particular embodiment, an advertisement delivery processing device of a virtual world includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer-executable instructions for the advertisement delivery processing device of the virtual world, and the one or more programs configured to be executed by the one or more processors include computer-executable instructions for:
estimating the visual angle based on the eye image of the user to obtain the visual angle direction of the user; the user eye image is acquired through an image sensor configured on an access device of the virtual world;
inputting the user visual angle direction and image data of the virtual world for advertising into a detection model to detect an advertising attention area, and obtaining the advertising attention area;
constructing a virtual environment characteristic carrying the attention duration of the advertisement attention area;
inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scores.
An embodiment of a storage medium provided in this specification is as follows:
on the basis of the same technical concept, one or more embodiments of the present specification further provide a storage medium corresponding to the above-described advertisement placement processing method for a virtual world.
The storage medium provided in this embodiment is used to store computer-executable instructions, and when the computer-executable instructions are executed by the processor, the following processes are implemented:
estimating the visual angle based on the eye image of the user to obtain the visual angle direction of the user; the eye images of the user are collected through an image sensor configured on the access equipment of the virtual world;
inputting the user visual angle direction and image data of the advertisement delivered in the virtual world into a detection model to detect an advertisement attention area, and obtaining the advertisement attention area;
constructing a virtual environment characteristic carrying the attention duration of the advertisement attention area;
inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scores.
It should be noted that the embodiment of the storage medium in this specification and the embodiment of the advertisement delivery processing method in the virtual world in this specification are based on the same inventive concept, and therefore, specific implementation of this embodiment may refer to implementation of the foregoing corresponding method, and repeated details are not described again.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
In the 30 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain a corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD) (e.g., a Field Programmable Gate Array (FPGA)) is an integrated circuit whose Logic functions are determined by a user programming the Device. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually manufacturing an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as ABEL (Advanced Boolean Expression Language), AHDL (alternate Hardware Description Language), traffic, CUPL (core universal Programming Language), HDCal, jhddl (Java Hardware Description Language), lava, lola, HDL, PALASM, rhyd (Hardware Description Language), and vhigh-Language (Hardware Description Language), which is currently used in most popular applications. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium that stores computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be regarded as a hardware component and the means for performing the various functions included therein may also be regarded as structures within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units may be implemented in the same software and/or hardware or in multiple software and/or hardware when implementing the embodiments of the present description.
One skilled in the art will recognize that one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The description has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises that element.
One or more embodiments of the present description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of this document and is not intended to limit this document. Various modifications and changes may occur to those skilled in the art from this document. Any modifications, equivalents, improvements, etc. which come within the spirit and principle of the disclosure are intended to be included within the scope of the claims of this document.
Claims (16)
1. An advertisement putting processing method of a virtual world comprises the following steps:
estimating the visual angle based on the eye image of the user to obtain the visual angle direction of the user; the eye images of the user are collected through an image sensor configured on the access equipment of the virtual world;
inputting the user visual angle direction and image data of the virtual world for advertising into a detection model to detect an advertising attention area, and obtaining the advertising attention area;
constructing a virtual environment characteristic carrying the attention duration of the advertisement attention area;
inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scores.
2. The advertisement placement processing method for a virtual world according to claim 1, wherein the user eye image includes: eye color images and/or eye infrared images;
correspondingly, the image sensor of the access device configuration comprises: the eye infrared image acquisition device comprises an image sensor for acquiring eye color images and/or an infrared sensor for acquiring eye infrared images.
3. The advertisement placement processing method for a virtual world according to claim 2, wherein before the step of estimating a viewing angle based on the eye image of the user and obtaining a viewing direction of the user is executed, the method further comprises:
aligning the eye color image and the eye infrared image, and calculating a multi-mode quality score based on alignment characteristic points of the eye color image and the eye infrared image obtained after alignment;
and if the multi-mode quality score is smaller than a preset quality score threshold value, the eye color image acquisition and the eye infrared image acquisition are carried out again.
4. The advertisement placement processing method for a virtual world according to claim 3, wherein the multi-modal quality score is calculated as follows:
calculating the feature similarity of the aligned eye color image and the aligned eye infrared image based on the aligned feature points of the aligned eye color image and the aligned eye infrared image;
calculating the multi-modal quality score according to the feature similarity and a preset constant; wherein the multi-modal quality score is equal to a ratio of the preset constant to a square of the feature similarity.
5. The advertisement placement processing method for a virtual world according to claim 1, wherein the advertisement attention area detection comprises:
determining a three-dimensional view position of the user view direction mapped in the virtual world;
and detecting an image area corresponding to the three-dimensional visual angle position in the image data of the delivered advertisement as the advertisement attention area.
6. The method for processing advertisement placement in a virtual world as claimed in claim 1, wherein before the step of inputting the user viewing direction and the image data of the advertisement placed in the virtual world into a detection model for detecting an advertisement attention area and obtaining the advertisement attention area is executed, the method further comprises:
rendering an advertisement image based on the image data of the delivered advertisement, and outputting a rendering result to the access equipment;
the delivered advertisements are randomly selected and determined in an advertisement pool and/or a sequence advertisement, or the delivered advertisements are obtained by matching in the advertisement pool and/or the sequence advertisement based on user interest data.
7. The method of claim 1, wherein the length of interest of the advertisement interest area is calculated as follows:
and calculating the acquisition time span of the advertisement image as the attention duration according to the acquisition time of the advertisement image to which the advertisement attention area belongs.
8. The advertisement putting processing method of the virtual world according to claim 1, wherein the virtual environment features further carry a user attention;
wherein, the user attention is calculated by adopting the following method:
extracting a first eye feature in an eye image of a user in an advertisement putting state and a second eye feature in an eye image of the user in a non-putting state through an image segmentation algorithm;
calculating the user attention based on the first eye feature and the second eye feature.
9. The advertisement putting processing method of the virtual world according to claim 1, wherein the virtual environment features further carry advertisement subject features;
wherein the advertisement subject characteristics include: and the advertisement subject characteristics are obtained by carrying out characteristic extraction on the advertisement image of the advertisement, and/or the attention subject characteristics are obtained by carrying out characteristic extraction on the sub-image of the area corresponding to the attention area of the advertisement.
10. The method for processing advertisement placement in a virtual world according to claim 1, wherein the constructing of the virtual environment feature carrying the attention duration of the advertisement attention area includes:
vectorizing the concerned time length, the user concerned degree and the advertisement main body characteristic to obtain a concerned time length vector, a concerned degree vector and a main body characteristic vector;
and carrying out vector splicing on the attention duration vector, the attention degree vector and the main characteristic vector, and taking the obtained spliced vector as the virtual environment characteristic.
11. The advertisement placement processing method of a virtual world according to claim 1, wherein the advertisement scoring model includes: a reinforcement learning model constructed based on a reinforcement learning algorithm;
wherein, the input in the model training process of the reinforcement learning model comprises the following steps: and the virtual environment characteristics are obtained by vectorizing and vector splicing the attention duration, the user attention and the advertisement main body characteristics of the advertisement samples serving as training samples.
12. The advertisement putting processing method of the virtual world according to claim 1, after the steps of inputting the virtual environment features and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining the target candidate advertisements in the candidate advertisements according to the obtained advertisement scores are executed, further comprising:
and determining a placement time point for placing the advertisement in the virtual world, and performing placement processing of the target candidate advertisement at the placement time point.
13. The advertisement placement processing method for the virtual world according to any one of claims 1 to 12, wherein a decentralized transaction is performed in the virtual world by generating a heterogeneous identity, and ownership of a virtual asset is possessed by the transaction.
14. An advertisement placement processing apparatus for a virtual world, comprising:
the visual angle estimation module is configured to estimate a visual angle based on the eye image of the user to obtain a visual angle direction of the user; the eye images of the user are collected through an image sensor configured on the access equipment of the virtual world;
the region detection module is configured to input the user visual angle direction and image data of the virtual world for advertising into a detection model to detect an advertising attention region, and obtain the advertising attention region;
the characteristic construction module is configured to construct a virtual environment characteristic carrying the attention duration of the advertisement attention area;
and the score calculation module is configured to input the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement score model for advertisement score calculation, and determine target candidate advertisements in the candidate advertisements according to the obtained advertisement scores.
15. An advertisement placement processing device of a virtual world, comprising:
a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to:
estimating the visual angle based on the eye image of the user to obtain the visual angle direction of the user; the eye images of the user are collected through an image sensor configured on the access equipment of the virtual world;
inputting the user visual angle direction and image data of the virtual world for advertising into a detection model to detect an advertising attention area, and obtaining the advertising attention area;
constructing a virtual environment characteristic carrying the attention duration of the advertisement attention area;
inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scoring.
16. A storage medium storing computer-executable instructions that when executed by a processor implement the following:
estimating the visual angle based on the eye image of the user to obtain the visual angle direction of the user; the eye images of the user are collected through an image sensor configured on the access equipment of the virtual world;
inputting the user visual angle direction and image data of the advertisement delivered in the virtual world into a detection model to detect an advertisement attention area, and obtaining the advertisement attention area;
constructing a virtual environment characteristic carrying the attention duration of the advertisement attention area;
inputting the virtual environment characteristics and the candidate advertisements of the virtual world into an advertisement scoring model for advertisement scoring calculation, and determining target candidate advertisements in the candidate advertisements according to the obtained advertisement scoring.
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