CN117651122B - Method, equipment and storage medium for determining switching angle in image acquisition process - Google Patents
Method, equipment and storage medium for determining switching angle in image acquisition process Download PDFInfo
- Publication number
- CN117651122B CN117651122B CN202410105589.5A CN202410105589A CN117651122B CN 117651122 B CN117651122 B CN 117651122B CN 202410105589 A CN202410105589 A CN 202410105589A CN 117651122 B CN117651122 B CN 117651122B
- Authority
- CN
- China
- Prior art keywords
- switching
- image acquisition
- parameter
- angle
- standard
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 71
- 230000008569 process Effects 0.000 title claims abstract description 28
- 238000004364 calculation method Methods 0.000 claims abstract description 52
- 238000009825 accumulation Methods 0.000 claims description 8
- 230000008859 change Effects 0.000 claims description 7
- 238000010586 diagram Methods 0.000 description 10
- 238000010606 normalization Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 238000005286 illumination Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 239000003550 marker Substances 0.000 description 2
- 238000003062 neural network model Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 238000010195 expression analysis Methods 0.000 description 1
- 230000008921 facial expression Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/695—Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
- H04N7/185—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source from a mobile camera, e.g. for remote control
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Studio Devices (AREA)
Abstract
The application discloses a method, equipment and a storage medium for determining a switching angle in an image acquisition process, wherein the method for determining the switching angle in the image acquisition process comprises the following steps: acquiring switching standard parameters corresponding to each image acquisition angle, and determining parameter influence factors corresponding to each switching standard parameter; calculating dynamic weight values corresponding to each switching standard parameter respectively by using the parameter influence factors; based on the dynamic weight value corresponding to each switching standard parameter, weighting calculation is carried out on the parameter value of the switching standard parameter corresponding to each image acquisition angle, and the switching score of each image acquisition angle is obtained respectively; and selecting an image acquisition angle with a switching score meeting a preset condition from a plurality of image acquisition angles to obtain a current target switching angle to be switched. The dynamic weight value of each switching standard parameter is flexibly calculated, so that the weight distribution of each switching standard parameter is more fit with the current actual scene, and the accuracy of switching score calculation is improved.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to a method, an apparatus, and a storage medium for determining a switching angle in an image acquisition process.
Background
Currently, in order to cope with the shooting requirements of different scenes, a plurality of image acquisition devices with different image acquisition angles can be deployed in one image acquisition scene so as to realize image acquisition under different angles. For example, teleconferencing, webcast, and multimedia teaching applications have become part of the day-to-day, and in order to provide a more realistic and high quality experience, a multi-camera system may be deployed in a scene to collect image data at multiple angles.
In the prior art, the switching of different image acquisition angles generally depends on manual operation, and has the defects of inaccurate switching, complex user operation and the like, so that how to accurately switch the image acquisition angles is a problem to be solved by a person skilled in the art.
Disclosure of Invention
In order to solve the above problems, the present application provides at least a method, apparatus and storage medium for determining a switching angle in an image acquisition process.
The first aspect of the present application provides a method for determining a switching angle in an image acquisition process, the method comprising: acquiring switching standard parameters corresponding to each image acquisition angle, and determining parameter influence factors corresponding to each switching standard parameter; the switching standard parameters are parameters influencing the switching of the image acquisition angles, and the parameter influencing factors are used for influencing the importance degree of the switching standard parameters in all the switching standard parameters; calculating dynamic weight values corresponding to each switching standard parameter respectively by using the parameter influence factors; based on the dynamic weight value corresponding to each switching standard parameter, weighting calculation is carried out on the parameter value of the switching standard parameter corresponding to each image acquisition angle, and the switching score of each image acquisition angle is obtained respectively; and selecting an image acquisition angle with a switching score meeting a preset condition from a plurality of image acquisition angles to obtain a current target switching angle to be switched.
In an embodiment, acquiring the switching standard parameter corresponding to each image acquisition angle includes: acquiring a candidate parameter set corresponding to an image acquisition angle; calculating a parameter score of each candidate parameter in the candidate parameter set; and taking the candidate parameters with the parameter scores larger than the preset score threshold as the switching standard parameters corresponding to the image acquisition angles.
In one embodiment, calculating a parameter score for each candidate parameter in a set of candidate parameters includes: acquiring scene characteristics of an image acquisition scene and/or image acquisition characteristics of an image acquisition angle; and calculating the parameter score of each candidate parameter by combining the scene characteristics and/or the image acquisition characteristics.
In an embodiment, the parameter impact factor includes a history switching feedback record, where the history switching feedback record is used to store feedback data after switching the image acquisition angle in a history period; calculating dynamic weight values corresponding to each switching standard parameter by using the parameter influence factors respectively, wherein the dynamic weight values comprise: acquiring an initial weight value corresponding to the switching standard parameter; calculating a current weight adjustment value of the switching standard parameter based on the historical switching feedback record; and adjusting the initial weight value by using the weight adjustment value to obtain a dynamic weight value corresponding to the switching standard parameter.
In one embodiment, the parameter impact factor contains a scene stability index describing a scene change speed of the target scene; calculating dynamic weight values corresponding to each switching standard parameter by using the parameter influence factors respectively, wherein the dynamic weight values comprise: acquiring an initial weight value corresponding to the switching standard parameter; calculating a current weight adjustment value of the switching standard parameter based on the scene stability index; and adjusting the initial weight value by using the weight adjustment value to obtain a dynamic weight value corresponding to the switching standard parameter.
In one embodiment, the parameter influencing factors include related standard parameters, and the related standard parameters refer to switching standard parameters with association relations; calculating dynamic weight values corresponding to each switching standard parameter by using the parameter influence factors respectively, wherein the dynamic weight values comprise: determining relevant standard parameters and initial weight values corresponding to the switching standard parameters; determining a current weight adjustment value of the switching standard parameter based on the dynamic weight value of the related standard parameter; and adjusting the initial weight value by using the weight adjustment value to obtain a dynamic weight value corresponding to the switching standard parameter.
In an embodiment, based on a dynamic weight value corresponding to each switching standard parameter, weighting calculation is performed on a parameter value of the switching standard parameter corresponding to each image acquisition angle to obtain a switching score of each image acquisition angle, including: based on the dynamic weight value corresponding to each switching standard parameter, weighting calculation is carried out on the parameter value of the switching standard parameter corresponding to each image acquisition angle, and standard scores of each image acquisition angle are respectively obtained; determining an image acquisition angle for image acquisition currently to obtain a front-end switching angle; acquiring image acquisition accumulation time of a front switching angle, and calculating current switching inertia resistance based on the image acquisition accumulation time; and adjusting the standard scores corresponding to the image acquisition angles by using the switching inertia resistance to respectively obtain the switching scores of the image acquisition angles.
In an embodiment, selecting an image acquisition angle with the highest switching score from a plurality of image acquisition angles to obtain a pre-switching angle; obtaining a scoring threshold value of an image acquisition scene; and if the switching score of the pre-switching angle is higher than the scoring threshold, taking the pre-switching angle as the target switching angle.
The second aspect of the present application provides a switching angle determining apparatus in an image acquisition process, the apparatus comprising: the parameter acquisition module is used for acquiring the switching standard parameters corresponding to each image acquisition angle and determining the parameter influence factors corresponding to each switching standard parameter; the switching standard parameters are parameters influencing the switching of the image acquisition angles, and the parameter influencing factors are used for influencing the importance degree of the switching standard parameters in all the switching standard parameters; the weight dynamic calculation module is used for calculating dynamic weight values corresponding to each switching standard parameter by utilizing the parameter influence factors; the scoring calculation module is used for carrying out weighted calculation on the parameter value of the switching standard parameter corresponding to each image acquisition angle based on the dynamic weight value corresponding to each switching standard parameter to respectively obtain the switching score of each image acquisition angle; the angle selection module is used for selecting the image acquisition angles with the switching scores meeting the preset conditions from the plurality of image acquisition angles to obtain the current target switching angle to be switched.
A third aspect of the present application provides an electronic device, including a memory and a processor, where the processor is configured to execute program instructions stored in the memory, so as to implement the method for determining a switching angle in an image acquisition process.
A fourth aspect of the present application provides a computer readable storage medium having stored thereon program instructions which, when executed by a processor, implement the above-described method of determining a switching angle in an image acquisition process.
According to the scheme, the switching standard parameters corresponding to each image acquisition angle are obtained, and the parameter influence factors corresponding to each switching standard parameter are determined; the switching standard parameters are parameters influencing the switching of the image acquisition angles, and the parameter influencing factors are used for influencing the importance degree of the switching standard parameters in all the switching standard parameters; calculating dynamic weight values corresponding to each switching standard parameter respectively by using the parameter influence factors; based on the dynamic weight value corresponding to each switching standard parameter, weighting calculation is carried out on the parameter value of the switching standard parameter corresponding to each image acquisition angle, and the switching score of each image acquisition angle is obtained respectively; and selecting an image acquisition angle with a switching score meeting a preset condition from a plurality of image acquisition angles to obtain a current target switching angle to be switched, so as to flexibly calculate the dynamic weight value of each switching standard parameter, enable the weight distribution of each switching standard parameter to be more fit with the current actual scene, and improve the accuracy of switching score calculation.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic diagram of an implementation environment of an embodiment of the present application;
FIG. 2 is a flow chart illustrating a method of determining a switch angle in an image acquisition process according to an exemplary embodiment of the present application;
FIG. 3 is a schematic diagram of parameter selection shown in an exemplary embodiment of the present application;
FIG. 4 is a block diagram of a switching angle determination apparatus in an image acquisition process according to an exemplary embodiment of the present application;
FIG. 5 is a schematic diagram of an electronic device shown in an exemplary embodiment of the application;
Fig. 6 is a schematic diagram of a structure of a computer-readable storage medium according to an exemplary embodiment of the present application.
Detailed Description
The following describes embodiments of the present application in detail with reference to the drawings.
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, interfaces, techniques, etc., in order to provide a thorough understanding of the present application.
The term "and/or" is herein merely an association information describing an associated object, meaning that three relationships may exist, e.g., a and/or B may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship. Further, "a plurality" herein means two or more than two. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, may mean including any one or more elements selected from the group consisting of A, B and C.
The following describes a method for determining a switching angle in an image acquisition process according to an embodiment of the present application.
Referring to fig. 1, a schematic diagram of an implementation environment of an embodiment of the present application is shown. The implementation environment of the scheme may include an image acquisition device 110 and a server 120, where the image acquisition device 110 and the server 120 are communicatively coupled to each other.
The image capture device 110 is deployed in an image capture environment including, but not limited to, teleconferencing, webcast, multimedia teaching, and the like. The number of the image capturing devices 110 is plural, and each image capturing device 110 corresponds to a different image capturing angle.
The server 120 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, a content delivery network (Content Delivery Network, CDN), basic cloud computing services such as big data and an artificial intelligent platform.
In one example, the server 120 receives images acquired by at least one image acquisition device 110 in the image acquisition environment, and performs angle switching control on each image acquisition device 110, so as to obtain an image acquisition result of the image acquisition environment, where, of course, the server 120 may store the image acquisition result locally or transmit the image acquisition result to other terminals.
It will be appreciated that in the specific embodiments of the present application, related data such as user information, user images, etc. are involved, and when embodiments of the present application are applied to specific products or technologies, user permissions or consents need to be obtained, and the collection, use, and processing of related data is required to comply with relevant laws and regulations and standards of the relevant countries and regions.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for determining a switching angle in an image acquisition process according to an exemplary embodiment of the application. The method for determining the switching angle in the image acquisition process can be applied to the implementation environment shown in fig. 1 and is specifically executed by a server in the implementation environment. It should be understood that the method may be adapted to other exemplary implementation environments and be specifically executed by devices in other implementation environments, and the implementation environments to which the method is adapted are not limited by the present embodiment.
As shown in fig. 2, the method for determining the switching angle in the image acquisition process at least includes steps S210 to S240, which are described in detail as follows:
Step S210: and acquiring switching standard parameters corresponding to each image acquisition angle, and determining parameter influence factors corresponding to each switching standard parameter, wherein the switching standard parameters are parameters influencing the switching of the image acquisition angles, and the parameter influence factors are used for influencing the importance degree of the switching standard parameters in all the switching standard parameters.
The switching standard parameters refer to parameters affecting the switching of the image acquisition angle, and include, but are not limited to, environmental dynamic changes (sound source position changes, light changes, etc.) of the image acquisition environment, behaviors of an object to be acquired in the image acquisition environment, device parameters of image acquisition devices corresponding to the image acquisition angle, and the like.
The number of the switching standard parameters can be one or more, the same switching standard parameters can be corresponding to each image acquisition angle, and the different switching standard parameters can be corresponding to different image acquisition angles.
For example, according to the deployment positions of the image acquisition devices corresponding to the image acquisition angles, the corresponding switching standard parameters under different deployment positions are determined.
Illustrating: the image acquisition scene comprises a hosting area and an audience area, wherein the image acquisition angle comprises a first acquisition angle and a second acquisition angle, the image acquisition equipment corresponding to the first acquisition angle is used for acquiring the hosting area, the image acquisition equipment corresponding to the second acquisition angle is used for acquiring the audience area, and because the information referenced by angle switching of different areas is different, a preset position and parameter association table can be acquired, and the position and parameter association table is used for storing association relations between the image acquisition angles of different deployment positions and switching standard parameters, and the behavior that the switching standard parameters of the first acquisition angle comprise a host is obtained by inquiring the preset position and parameter association table; the switching standard parameters of the second acquisition angle contain sound source changes.
The switching standard parameters corresponding to each image acquisition angle can be flexibly determined according to the scene type of the image acquisition scene, the equipment type of the image acquisition equipment and the like, and the application is not limited to the switching standard parameters.
Each switching standard parameter corresponds to one or more parameter influence factors, and the parameter influence factors are used for influencing the importance degree of the switching standard parameter in all the switching standard parameters, such as historical switching feedback records, scene types of image acquisition scenes, scene changes of the image acquisition scenes, equipment parameters of image acquisition equipment, association relations among the switching standard parameters and the like.
Different parameters of the same switching standard parameter can be corresponding to different parameter influence factors, or different parameter influence factors of the same switching standard parameter at different moments can be corresponding to different parameter influence factors, and the parameter influence factor corresponding to each switching standard parameter can be determined according to an actual application scene.
Step S220: and calculating the dynamic weight value corresponding to each switching standard parameter by using the parameter influence factors.
After the parameter influence factors corresponding to each switching standard parameter are obtained, aiming at any switching standard parameter corresponding to the image acquisition angle, according to the parameter influence factors corresponding to the switching standard parameter, the dynamic weight value corresponding to the switching standard parameter is flexibly calculated so as to determine the switching influence degree of the current switching standard parameter on the image acquisition angle.
For any switching standard parameter, each parameter influence factor corresponding to the switching standard parameter may be normalized, and then the normalized value of each parameter influence factor is summed (such as weighted average) to obtain a value as a dynamic weight value corresponding to the switching standard parameter.
For any switching standard parameter, an initial weight value of the switching standard parameter is obtained, a weight adjustment value is determined according to each parameter influence factor corresponding to the switching standard parameter, the initial weight value and the weight adjustment value are summed, and the obtained value is used as a dynamic weight value corresponding to the switching standard parameter.
The calculation method of the dynamic weight value is merely illustrative, and other methods may be used to calculate the dynamic weight value in the actual application scenario, for example, the switching standard parameter and the parameter influencing factor corresponding to the switching standard parameter are input into the trained neural network model, and the trained neural network model is used to predict the dynamic weight value of the switching standard parameter.
The dynamic weight value of each switching standard parameter is flexibly calculated, so that the weight distribution of each switching standard parameter is more fit with the current actual scene, and the accuracy of the subsequent switching score calculation is improved.
Step S230: and carrying out weighted calculation on the parameter values of the switching standard parameters corresponding to each image acquisition angle based on the dynamic weight values corresponding to each switching standard parameter to respectively obtain the switching score of each image acquisition angle.
And carrying out weighted calculation on the parameter values of the switching standard parameters corresponding to each image acquisition angle according to the dynamic weight values corresponding to each switching standard parameter so as to obtain the switching score of each image acquisition angle.
The switching score characterizes a tendency of switching to a corresponding image acquisition angle.
The higher the corresponding switching score of the image acquisition angle, the more prone the image acquisition angle is to be switched to; the lower the switching score corresponding to an image acquisition angle, the less prone it is to switch to that image acquisition angle.
The method comprises the steps of carrying out normalization on parameter values of switching standard parameters to obtain parameter normalization values, and carrying out weighted calculation on the parameter normalization values of each image acquisition angle according to dynamic weight values of the parameter normalization values of the switching standard parameters to obtain switching scores of each image acquisition angle.
Step S240: and selecting an image acquisition angle with a switching score meeting a preset condition from a plurality of image acquisition angles to obtain a current target switching angle to be switched.
The handover score satisfying the preset condition may be: a handover score having a maximum value; sorting all the switching scores in a descending order, wherein the switching scores are ranked in a preset number at the front; a switch score having a value greater than a preset score threshold; the value is greater than a preset scoring threshold and the value is the largest. The present application is not limited to the preset conditions.
Taking an image acquisition angle with a switching score meeting a preset condition as a current target switching angle to be switched, wherein the current target switching angle to be switched refers to: and when the angle of the image acquisition scene is switched, performing image acquisition operation by adopting a target switching angle.
Next, some embodiments of the present application will be described in detail.
In some embodiments, the step S210 of obtaining the switching standard parameter corresponding to each image acquisition angle includes:
Step S211: and acquiring a candidate parameter set corresponding to the image acquisition angle.
The candidate parameter set contains one or more candidate parameters.
Different image acquisition angles can be corresponding to different candidate parameter sets, for example, a first acquisition angle corresponds to a first candidate parameter set D1{ D1, D2, D3}, and a second acquisition angle corresponds to a second candidate parameter set D2{ D4, D5}; or different candidate parameter sets of different image acquisition scenes, namely, each image acquisition angle in the image acquisition scene corresponds to the same candidate parameter set, such as candidate parameter sets D1{ D1, D2, D3, D4, D5} corresponding to the current image acquisition scene.
Step S212: a parameter score is calculated for each candidate parameter in the candidate parameter set.
The parameter score of the candidate parameter is used for representing the intensity of the candidate parameter affecting the image acquisition angle switching, and the higher the parameter score is, the more likely the candidate parameter affects the image acquisition angle switching, and the lower the parameter score is, the less likely the candidate parameter affects the image acquisition angle switching is.
For example, image acquisition features of a scene feature and/or an image acquisition angle of an image acquisition scene may be acquired, and a parameter score for each candidate parameter may be calculated in combination with the scene feature and/or the image acquisition feature.
Optionally, scene characteristics include, but are not limited to, information about the scene type of the image acquisition scene, the current light intensity of the scene, sound intensity, number of people, etc. Image acquisition characteristics include, but are not limited to, a deployment position of an image acquisition device corresponding to the image acquisition angle, a network transmission condition, a range in which image acquisition can be performed, quality of image acquisition (such as picture stability, picture definition, etc.), and the like.
For example, if the scene type of the image acquisition scene is teleconference, the discussion of participants is considered to be more concerned, so that a parameter score with higher voice definition is given to the candidate parameter; if the number of people in the image acquisition scene is large, the situation that each person can be acquired by the image is considered to be more concerned, so that a parameter score with higher candidate parameters of 'capturable face data and size' is given; if the network transmission rate of the image acquisition equipment corresponding to the image acquisition angle is higher, the capability of the image acquisition angle for instant message transmission is considered to be stronger, so that the candidate parameters such as object tracking, emotion analysis and the like are endowed with higher parameter scores.
Step S213: and taking the candidate parameters with the parameter scores larger than the preset score threshold as the switching standard parameters corresponding to the image acquisition angles.
And acquiring a preset score threshold, and taking the candidate parameter with the parameter score larger than the preset score threshold as a switching standard parameter corresponding to the image acquisition angle.
For example, referring to fig. 3, fig. 3 is a schematic diagram illustrating parameter selection according to an exemplary embodiment of the present application, as shown in fig. 3, a candidate parameter set includes N candidate parameters, a preset score threshold is a, and a parameter score of a candidate parameter N in the candidate parameter set is Cn (N has a value of 1 to N). And screening the candidate parameters according to a preset score threshold A to obtain a switching standard parameter set corresponding to the image acquisition angle, namely, selecting the candidate parameter n as the switching standard parameter corresponding to the corresponding image acquisition angle only when Cn > A.
By selecting the switching standard parameters, only partial parameters with great influence on the image acquisition angle switching are focused in the subsequent selection scoring calculation process, and the calculation amount is reduced on the premise of ensuring the calculation accuracy of the selection scoring.
After the switching standard parameters corresponding to each image acquisition angle are obtained, parameter influence factors corresponding to the switching standard parameters in the current image acquisition scene are obtained, and dynamic weight values corresponding to each switching standard parameter are calculated according to the parameter influence factors corresponding to the switching standard parameters.
The following illustrates a specific calculation procedure of the dynamic weight value:
In some embodiments, the parameter impact factor comprises a historical switching feedback record, wherein the historical switching feedback record is used for storing feedback data after image acquisition angle switching in a historical time period; calculating dynamic weight values corresponding to each switching standard parameter by using the parameter influence factors respectively, wherein the dynamic weight values comprise: acquiring an initial weight value corresponding to the switching standard parameter; calculating a current weight adjustment value of the switching standard parameter based on the historical switching feedback record; and adjusting the initial weight value by using the weight adjustment value to obtain a dynamic weight value corresponding to the switching standard parameter.
Wherein, the feedback data may be: grading the angle switching operation by a user after the image acquisition angle is switched, evaluating the quality of the acquired image data after the image acquisition angle is switched, and the like.
The advantages and disadvantages of various switching strategies executed under similar scenes can be obtained through statistics through the historical switching feedback records, and therefore the weight reference of each switching standard parameter under the current image acquisition scene can be obtained according to the historical switching feedback records.
Therefore, according to the historical switching feedback record, the current weight adjustment value of the switching standard parameter is calculated, and the initial weight value is adjusted by the weight adjustment value, so that the dynamic weight value corresponding to the switching standard parameter is obtained.
For example, a minimum adjustment threshold value for avoiding frequent adjustment increasing the calculation amount and a maximum adjustment threshold value for avoiding fluctuation of the weight value adjustment are set. And if the weight adjustment value is larger than the minimum adjustment threshold value and smaller than the maximum adjustment threshold value, summing the weight adjustment value and the initial weight value to obtain a dynamic weight value corresponding to the switching standard parameter.
It should be noted that, the initial weight value in the present application may be a value preset for different switching standard parameters, or may be a dynamic weight value of a switching standard parameter at a previous time, which is not limited in this aspect of the present application.
In some embodiments, the parameter impact factors may further include a user's weight adjustment operation for the handover standard parameters, such as ranking according to the user's importance level for each handover standard parameter, to obtain a dynamic weight value for the handover standard parameter.
For example, the calculation formula of the dynamic weight value can be referred to the following formula 1:
Equation 1:
wherein wi (t) refers to a dynamic weight value of the switching standard parameter i at the current moment; wi (t-1) is the dynamic weight value of the switching standard parameter i at the previous moment; is a preset weight attenuation factor; HSE is a weight adjustment value calculated according to the historical switching feedback record; ud_wi is a weight adjustment value set by the user.
In some embodiments, the parameter impact factor contains a scene stability index that describes a scene change speed of the target scene; calculating dynamic weight values corresponding to each switching standard parameter by using the parameter influence factors respectively, wherein the dynamic weight values comprise: acquiring an initial weight value corresponding to the switching standard parameter; calculating a current weight adjustment value of the switching standard parameter based on the scene stability index; and adjusting the initial weight value by using the weight adjustment value to obtain a dynamic weight value corresponding to the switching standard parameter.
The scene stability index may be obtained by performing scene recognition on image data, audio data, and the like acquired before the current time.
The current weight adjustment value of the switching standard parameter is calculated according to the scene stability index, so that the initial weight value is adjusted by the weight adjustment value to obtain the dynamic weight value corresponding to the switching standard parameter, and the specific adjustment mode can be seen from the embodiment.
In some embodiments, dynamic weight values may also be determined in combination with scene complexity, sound clarity, picture stability. Wherein the scene complexity may be determined based on the number of detected target objects in the scene, the moving track of the target objects, the number of sound sources, etc.; the picture stability refers to the frequency of the picture change.
For example, the calculation formula of the dynamic weight value can be referred to the following formula 2:
Equation 2: wi (t) =wi (t-1) ×ese×sci×sdi×ssi
Wherein ESE is a weight adjustment value calculated according to the scene stability index; SCI is a weight adjustment value calculated according to scene complexity; SDI is a weight adjustment value calculated according to sound definition; SSI is a weight adjustment value calculated from picture stability.
In some embodiments, the parameter impact factor contains a relevant standard parameter, and the relevant standard parameter refers to a handover standard parameter with an association relationship; calculating dynamic weight values corresponding to each switching standard parameter by using the parameter influence factors respectively, wherein the dynamic weight values comprise: determining relevant standard parameters and initial weight values corresponding to the switching standard parameters; determining a current weight adjustment value of the switching standard parameter based on the dynamic weight value of the related standard parameter; and adjusting the initial weight value by using the weight adjustment value to obtain a dynamic weight value corresponding to the switching standard parameter.
The association degree between each switching standard parameter can be analyzed according to the historical switching feedback record to determine the switching standard parameters with association relation, and the switching standard parameters with association relation need to be adjusted simultaneously when the weights of the switching standard parameters are adjusted so as to avoid conflict between the switching standard parameters with association relation.
For example, acquiring a weight adjustment value corresponding to a dynamic weight value of a relevant standard parameter, wherein the weight adjustment value of the relevant standard parameter is used as a current weight adjustment value of the relevant switching standard parameter; or according to the other embodiments, calculating to obtain the weight adjustment value of the switching standard parameter, and then combining the weight adjustment value of the related standard parameter and the weight adjustment value of the switching standard parameter, and calculating (such as weighting calculation, average calculation and the like) to obtain the final weight adjustment value of the switching standard parameter.
Illustrating: the negative correlation between the switching standard parameter i and the switching standard parameter j is that the weight adjustment value calculated by the switching standard parameter i is DWS, and the calculation formulas of the dynamic weight values of the switching standard parameter i and the switching standard parameter j can be seen from the following formulas 3 and 4:
Equation 3: wi (t) =wi (t-1) × (1-crt×dws)
Equation 4: wj (t) =wj (t-1) × (1+crt×dws)
Wherein wi (t) refers to a dynamic weight value of the switching standard parameter i at the current moment; wi (t-1) is the dynamic weight value of the switching standard parameter i at the previous moment; wj (t) refers to the dynamic weight value of the switching standard parameter j at the current moment; wj (t-1) is the dynamic weight value of the switching standard parameter j at the previous moment; the CRT is the strength of the association between the switching criteria parameter i and the switching criteria parameter j.
And combining the calculated dynamic weight values corresponding to the switching standard parameters, and carrying out weighted calculation on the parameter values of the switching standard parameters corresponding to each image acquisition angle.
The weighted calculation of the partial handover criterion parameters is illustrated:
1. weighted calculation of user liveness: adjustedUA = UA x wUA;
UA is a normalized value of the user liveness, and reflects the liveness degree and participation degree of the user in the image acquisition scene; wUA is a dynamic weight value of the user activity obtained by current calculation; adjustedUA is the weighted calculation of user liveness.
2. Weighted calculation of ambient light intensity: adjustedLI = LI x wLI;
LI is a normalized value of ambient illumination intensity and reflects ambient illumination conditions in an image acquisition scene; wLI is the dynamic weight value of the environmental illumination intensity obtained by current calculation; adjustedLI is the weighted calculation of the ambient light intensity.
3. Weighted calculation of presenter markers: adjustedLI = MS x wMS;
The MS is a normalization value of a speaker mark and reflects the number of the speaker in the acquired image data; wMS is the dynamic weight value of the presenter marker obtained by current calculation; adjustedMS is the weighted calculation of the presenter marker.
In addition to the above-described switching standard parameters, the switching standard parameters may also contain speaker identification marks (reflecting the number of speakers in the collected image data), the number and size of faces (reflecting the number and size of faces contained in the collected image data), the face clarity (reflecting the clarity of faces in the collected image data), the face angle (reflecting the angle of faces in the collected image data), expression analysis (reflecting the expression of a target object in the collected image data), eye tracking (reflecting the eye focus position in the collected image data), lip synchronization (reflecting the lip and sound synchronization of a recognized object in the collected image data), face occlusion detection (reflecting the occlusion condition of faces in the collected image data), face recognition priority (reflecting the recognition priority of a plurality of faces in the collected image data), background activity detection (reflecting the image change condition of a background in the collected image data), environmental sound analysis (reflecting the sound characteristics in the image collection scene), scene switching frequency (reflecting the number of angular switching in unit time in the image collection process), proximity to dynamic switching (reflecting the switching capability of panoramic equipment of panoramic view and the like.
And calculating to obtain the switching score of the image acquisition angle according to the weighted calculation result of each switching standard parameter corresponding to the image acquisition angle.
For example, the weighted calculation result of each switching standard parameter is summed to obtain the switching score of the image acquisition angle.
In some embodiments, each image acquisition angle corresponds to a preference index, and the switching score calculation may be performed on each image acquisition angle according to the preference index.
The obtaining manner of the preference index may include:
1. User settings: the user may set a preference index of a certain image acquisition angle according to his own preference, for example, it is possible to set a higher preference index for the image acquisition angle corresponding to the front camera and a lower preference index for the image acquisition angle corresponding to the rear camera.
2. Historical data analysis: the preference index of each image acquisition angle can be automatically adjusted according to historical data (such as historical switching feedback records). For example, if an image acquisition angle corresponding to a certain camera is frequently selected as an image acquisition angle in the past, the preference index thereof may be increased.
3. Scene analysis: and according to the characteristics of different image acquisition scenes, higher preference indexes are allocated to specific image acquisition angles. For example, in a lecture scenario, the image acquisition angle corresponding to the lecturer-oriented camera may be set with a higher preference index.
Illustratively, the switching score of the image acquisition angle is calculated in combination with the preference index, and the related formula may be formula 5:
equation 5:
wherein, Scoring the switching of the image acquisition angle k; /(I)The dynamic weight value of the switching standard parameter i; /(I)The normalized value of the switching standard parameters I is the total number of the switching standard parameters; /(I)Is a preference index for the image acquisition angle k.
In some embodiments, based on the dynamic weight value corresponding to each switching standard parameter, weighting calculation is performed on the parameter value of the switching standard parameter corresponding to each image acquisition angle, so as to obtain a switching score of each image acquisition angle, including: based on the dynamic weight value corresponding to each switching standard parameter, weighting calculation is carried out on the parameter value of the switching standard parameter corresponding to each image acquisition angle, and standard scores of each image acquisition angle are respectively obtained; determining an image acquisition angle for image acquisition currently to obtain a front-end switching angle; acquiring image acquisition accumulation time of a front switching angle, and calculating current switching inertia resistance based on the image acquisition accumulation time; and adjusting the standard scores corresponding to the image acquisition angles by using the switching inertia resistance to respectively obtain the switching scores of the image acquisition angles.
Wherein the switching inertia resistance is used to avoid frequent switching of angles.
The switching inertia resistance may be based on an image acquisition integration time of the pre-switching angle. If the image acquisition integration time is short, the value of the switching inertia resistance is larger, thereby reducing the possibility of angle switching.
The value determining mode of the switching inertia resistance can be flexibly adjusted according to actual application scenes, for example, in an important lecturer link, even if the image acquisition accumulation time of the front switching angle is shorter, the value of the switching inertia resistance can be reduced, so that the important lecturer can be ensured to be switched in time.
For example, the calculation formula of the switching inertia resistance may be formula 6:
equation 6: SI (T) =si (T-1) +t
The SI (T) refers to the switching inertia resistance of the current time, the SI (T-1) refers to the switching inertia resistance of the previous time, and the T is the image acquisition accumulation time.
And calculating a switching score of the image acquisition angle by combining the switching inertial resistance, wherein a related formula can be formula 7:
Equation 7:
for explanation of the formulas, see above.
And then, according to the switching score of each image acquisition angle, selecting the image acquisition angle with the switching score meeting the preset condition from a plurality of image acquisition angles, and obtaining the current target switching angle to be switched.
For example, an image acquisition angle with the highest switching score is selected from a plurality of image acquisition angles, and a target switching angle is obtained.
For another example, selecting an image acquisition angle with the highest switching score from a plurality of image acquisition angles to obtain a pre-switching angle; obtaining a scoring threshold value of an image acquisition scene; and if the switching score of the pre-switching angle is higher than the scoring threshold, taking the pre-switching angle as the target switching angle.
It should be noted that different angle switching modes may be set, and different switching strategies corresponding to different angle switching modes, such as a switching standard parameter selection strategy, a parameter influence factor determination strategy, etc., may be set by a user.
For example, when the current image acquisition scene is identified as a lecture conference, if the current image acquisition scene is in an active mode, angle switching is performed according to factors such as a speaker, a speaker mark, face definition and the like; in the passive mode, the angle is switched only when there is a significant movement or change in sound by the presenter. When the current image acquisition scene is identified as a discussion conference, if the current image acquisition scene is in an active mode, angle switching is performed according to factors such as the number and the size of the currently speaking participants and faces; if the mode is a passive mode, the angle switching is performed only when the participant speaks or has obvious facial expression change.
By the mode, the angle switching of the current image acquisition scene can be accurately controlled by combining the multidimensional information.
According to the method for determining the switching angle in the image acquisition process, the switching standard parameters corresponding to each image acquisition angle are obtained, and the parameter influence factors corresponding to each switching standard parameter are determined; the switching standard parameters are parameters influencing the switching of the image acquisition angles, and the parameter influencing factors are used for influencing the importance degree of the switching standard parameters in all the switching standard parameters; calculating dynamic weight values corresponding to each switching standard parameter respectively by using the parameter influence factors; based on the dynamic weight value corresponding to each switching standard parameter, weighting calculation is carried out on the parameter value of the switching standard parameter corresponding to each image acquisition angle, and the switching score of each image acquisition angle is obtained respectively; and selecting an image acquisition angle with a switching score meeting a preset condition from a plurality of image acquisition angles to obtain a current target switching angle to be switched, so as to flexibly calculate the dynamic weight value of each switching standard parameter, enable the weight distribution of each switching standard parameter to be more fit with the current actual scene, and improve the accuracy of switching score calculation.
Fig. 4 is a block diagram of a switching angle determining apparatus in an image acquisition process according to an exemplary embodiment of the present application. As shown in fig. 4, the switching angle determining apparatus 400 in the exemplary image capturing process includes: a parameter acquisition module 410, a weight dynamics calculation module 420, a scoring calculation module 430, and an angle selection module 440. Specifically:
The parameter obtaining module 410 is configured to obtain a switching standard parameter corresponding to each image acquisition angle, and determine a parameter impact factor corresponding to each switching standard parameter; the switching standard parameters are parameters influencing the switching of the image acquisition angles, and the parameter influencing factors are used for influencing the importance degree of the switching standard parameters in all the switching standard parameters;
The weight dynamic calculation module 420 is configured to calculate dynamic weight values corresponding to each switching standard parameter respectively by using the parameter influence factors;
the scoring calculation module 430 is configured to perform weighted calculation on the parameter value of the switching standard parameter corresponding to each image acquisition angle based on the dynamic weight value corresponding to each switching standard parameter, so as to obtain a switching score of each image acquisition angle respectively;
The angle selecting module 440 is configured to select an image acquisition angle with a switching score meeting a preset condition from a plurality of image acquisition angles, so as to obtain a target switching angle to be switched currently.
It should be noted that, the apparatus for determining a switching angle in an image capturing process provided by the foregoing embodiment and the method for determining a switching angle in an image capturing process provided by the foregoing embodiment belong to the same concept, and a specific manner in which each module and unit perform an operation has been described in detail in the method embodiment, which is not described herein. In practical application, the switching angle determining device in the image acquisition process provided in the above embodiment may allocate the functions to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above, which is not limited herein.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the application. The electronic device 500 comprises a memory 501 and a processor 502, the processor 502 being adapted to execute program instructions stored in the memory 501 for implementing the steps of the embodiment of the method for determining a switching angle in any of the above-mentioned image acquisition processes. In one particular implementation scenario, electronic device 500 may include, but is not limited to: the electronic device 500 may also include mobile devices such as a notebook computer and a tablet computer, and is not limited herein.
In particular, the processor 502 is configured to control itself and the memory 501 to implement the steps in the embodiments of the method for determining a switching angle in any of the above-described image acquisition processes. The processor 502 may also be referred to as a central processing unit (Central Processing Unit, CPU). The processor 502 may be an integrated circuit chip with signal processing capabilities. The Processor 502 may also be a general purpose Processor, a digital signal Processor (DIGITAL SIGNAL Processor, DSP), an Application SPECIFIC INTEGRATED Circuit (ASIC), a Field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, a discrete gate or transistor logic device, a discrete hardware component. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, the processor 502 may be commonly implemented by an integrated circuit chip.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an embodiment of a computer readable storage medium according to the present application. The computer readable storage medium 600 stores program instructions 610 that can be executed by a processor, where the program instructions 610 are configured to implement the steps in the embodiment of the method for determining a switching angle in any of the above-described image acquisition processes.
In some embodiments, functions or modules included in an apparatus provided by the embodiments of the present disclosure may be used to perform a method described in the foregoing method embodiments, and specific implementations thereof may refer to descriptions of the foregoing method embodiments, which are not repeated herein for brevity.
The foregoing description of various embodiments is intended to highlight differences between the various embodiments, which may be the same or similar to each other by reference, and is not repeated herein for the sake of brevity.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules or units is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical, or other forms.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the methods of 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 (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Claims (10)
1. A method for determining a switching angle in an image acquisition process, the method comprising:
acquiring a switching standard parameter corresponding to each image acquisition angle, and acquiring a parameter influence factor corresponding to each switching standard parameter in a current image acquisition scene; the switching standard parameters are parameters influencing the switching of the image acquisition angles, the parameter influence factors are used for influencing the importance degree of the switching standard parameters in all the switching standard parameters, the same switching standard parameters correspond to different parameter influence factors at different moments, and the parameter influence factors comprise scene information of the image acquisition scene;
Calculating dynamic weight values corresponding to each switching standard parameter respectively by utilizing the parameter influence factors;
based on the dynamic weight value corresponding to each switching standard parameter, weighting calculation is carried out on the parameter value of the switching standard parameter corresponding to each image acquisition angle, and switching scores of each image acquisition angle are obtained respectively;
and selecting an image acquisition angle with a switching score meeting a preset condition from a plurality of image acquisition angles to obtain a current target switching angle to be switched.
2. The method according to claim 1, wherein the obtaining the switching standard parameter corresponding to each image acquisition angle includes:
acquiring a candidate parameter set corresponding to the image acquisition angle;
Calculating a parameter score for each candidate parameter in the candidate parameter set;
and taking the candidate parameters with the parameter scores larger than a preset score threshold as the switching standard parameters corresponding to the image acquisition angles.
3. The method of claim 2, wherein said calculating a parameter score for each candidate parameter in said set of candidate parameters comprises:
acquiring scene characteristics of an image acquisition scene and/or image acquisition characteristics of the image acquisition angle;
And calculating the parameter score of each candidate parameter by combining the scene characteristic and/or the image acquisition characteristic.
4. The method of claim 1, wherein the parameter impact factor comprises a historical switch feedback record for storing feedback data after image acquisition angle switching over a historical period of time; the calculating the dynamic weight value corresponding to each switching standard parameter by using the parameter influence factors comprises the following steps:
acquiring an initial weight value corresponding to the switching standard parameter;
calculating the current weight adjustment value of the switching standard parameter based on the historical switching feedback record;
And adjusting the initial weight value by using the weight adjustment value to obtain a dynamic weight value corresponding to the switching standard parameter.
5. The method of claim 1, wherein the parameter impact factor comprises a scene stability index describing a scene change rate of the image acquisition scene; the calculating the dynamic weight value corresponding to each switching standard parameter by using the parameter influence factors comprises the following steps:
acquiring an initial weight value corresponding to the switching standard parameter;
Calculating the current weight adjustment value of the switching standard parameter based on the scene stability index;
And adjusting the initial weight value by using the weight adjustment value to obtain a dynamic weight value corresponding to the switching standard parameter.
6. The method according to claim 1, wherein the parameter influencing factor contains a relevant standard parameter, and the relevant standard parameter refers to a handover standard parameter with an association relationship; the calculating the dynamic weight value corresponding to each switching standard parameter by using the parameter influence factors comprises the following steps:
Determining relevant standard parameters and initial weight values corresponding to the switching standard parameters;
Determining a current weight adjustment value of the switching standard parameter based on the dynamic weight value of the related standard parameter;
And adjusting the initial weight value by using the weight adjustment value to obtain a dynamic weight value corresponding to the switching standard parameter.
7. The method according to claim 1, wherein the weighting calculation is performed on the parameter values of the switching standard parameters corresponding to each image acquisition angle based on the dynamic weight values corresponding to each switching standard parameter, so as to obtain the switching score of each image acquisition angle respectively, including:
Weighting calculation is carried out on the parameter values of the switching standard parameters corresponding to each image acquisition angle based on the dynamic weight values corresponding to each switching standard parameter, and standard scores of each image acquisition angle are obtained respectively; and
Determining an image acquisition angle for image acquisition at present to obtain a front-end switching angle;
acquiring image acquisition accumulation time of the front switching angle, and calculating current switching inertia resistance based on the image acquisition accumulation time;
And adjusting the standard scores corresponding to the image acquisition angles by utilizing the switching inertial resistance to respectively obtain the switching scores of the image acquisition angles.
8. The method according to any one of claims 1 to 7, wherein selecting an image acquisition angle from the plurality of image acquisition angles, where a switching score meets a preset condition, to obtain a target switching angle to be switched currently, includes:
selecting an image acquisition angle with highest switching score from the plurality of image acquisition angles to obtain a pre-switching angle;
Obtaining a scoring threshold value of an image acquisition scene;
and if the switching score of the pre-switching angle is higher than the scoring threshold, taking the pre-switching angle as a target switching angle.
9. An electronic device comprising a memory and a processor for executing program instructions stored in the memory to implement the steps of the method according to any of claims 1-8.
10. A computer readable storage medium storing program instructions executable by a processor to perform the steps of the method according to any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410105589.5A CN117651122B (en) | 2024-01-25 | 2024-01-25 | Method, equipment and storage medium for determining switching angle in image acquisition process |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410105589.5A CN117651122B (en) | 2024-01-25 | 2024-01-25 | Method, equipment and storage medium for determining switching angle in image acquisition process |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117651122A CN117651122A (en) | 2024-03-05 |
| CN117651122B true CN117651122B (en) | 2024-04-19 |
Family
ID=90049763
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410105589.5A Active CN117651122B (en) | 2024-01-25 | 2024-01-25 | Method, equipment and storage medium for determining switching angle in image acquisition process |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117651122B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108234870A (en) * | 2017-12-27 | 2018-06-29 | 广东欧珀移动通信有限公司 | Image processing method, device, terminal and storage medium |
| CN112672008A (en) * | 2020-12-14 | 2021-04-16 | 杭州联吉技术有限公司 | Lens adjusting method and device |
| CN112866773A (en) * | 2020-08-21 | 2021-05-28 | 海信视像科技股份有限公司 | Display device and camera tracking method in multi-person scene |
| CN114067274A (en) * | 2021-11-19 | 2022-02-18 | 杭州萤石软件有限公司 | Control method and device of image acquisition equipment and electronic equipment |
| CN116744116A (en) * | 2023-05-10 | 2023-09-12 | 恒鸿达(福建)体育科技有限公司 | Multi-scene AI sports assessment self-adaptive switching method and system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP4131160A4 (en) * | 2020-04-23 | 2024-01-24 | Shanghai United Imaging Healthcare Co., Ltd. | Image obtaining method and system, image quality determination method and system, and medical image acquisition method and system |
-
2024
- 2024-01-25 CN CN202410105589.5A patent/CN117651122B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108234870A (en) * | 2017-12-27 | 2018-06-29 | 广东欧珀移动通信有限公司 | Image processing method, device, terminal and storage medium |
| CN112866773A (en) * | 2020-08-21 | 2021-05-28 | 海信视像科技股份有限公司 | Display device and camera tracking method in multi-person scene |
| CN112672008A (en) * | 2020-12-14 | 2021-04-16 | 杭州联吉技术有限公司 | Lens adjusting method and device |
| CN114067274A (en) * | 2021-11-19 | 2022-02-18 | 杭州萤石软件有限公司 | Control method and device of image acquisition equipment and electronic equipment |
| CN116744116A (en) * | 2023-05-10 | 2023-09-12 | 恒鸿达(福建)体育科技有限公司 | Multi-scene AI sports assessment self-adaptive switching method and system |
Non-Patent Citations (2)
| Title |
|---|
| Image Acquisition with Wide-angle Camera for Sun Location Tracking;Oğuz GORA等;IEEE;20200730;全文 * |
| 一种基于图像处理的舌象采集自动调焦算法;韦玉科;李江平;段仰广;卢博生;;山东大学学报(工学版);20110816(第04期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117651122A (en) | 2024-03-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105631408B (en) | Face photo album processing method and device based on video | |
| US7623686B2 (en) | Techniques and apparatus for increasing accuracy of iris authentication by utilizing a plurality of iris images | |
| JP4450508B2 (en) | Audio source positioning | |
| CN111083397B (en) | Recorded broadcast picture switching method, system, readable storage medium and equipment | |
| CN110876036B (en) | Video generation method and related device | |
| CN110866563B (en) | Similar video detection and recommendation method, electronic device and storage medium | |
| WO2021135945A1 (en) | Image processing method and apparatus, storage medium, and electronic device | |
| CN106470313A (en) | Image generation system and image generating method | |
| CN110866473B (en) | Target object tracking detection method and device, storage medium and electronic device | |
| CN117651122B (en) | Method, equipment and storage medium for determining switching angle in image acquisition process | |
| CN114513622A (en) | Speaker detection method, speaker detection apparatus, storage medium, and program product | |
| JP7334536B2 (en) | Information processing device, information processing method, and program | |
| CN116261009B (en) | Video detection method, device, equipment and medium for intelligently converting video audience | |
| CN116682052A (en) | Teaching service platform based on cloud service | |
| CN117591058B (en) | Display method, device and storage medium for multi-person speech | |
| CN111382295B (en) | Image search result ordering method and device | |
| US20090167874A1 (en) | Audio visual tracking with established environmental regions | |
| CN114979455A (en) | Photographing method, photographing device and storage medium | |
| CN112016595A (en) | Image classification method and device, electronic equipment and readable storage medium | |
| Fang et al. | Building a smart lecture-recording system using MK-CPN network for heterogeneous data sources | |
| CN117640877A (en) | Picture reconstruction method for online conference and electronic equipment | |
| CN117714712B (en) | Data steganography method, equipment and storage medium for video conference | |
| CN118075552B (en) | Studio video feature image enhancement processing method | |
| US20230421893A1 (en) | Control apparatus, image capturing apparatus, control method, recording medium, and image capturing system | |
| KR102464276B1 (en) | Method and apparatus for providing agreed contents based on multi council modeling |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |