CN106528834B - Picture resource pushing method and device based on artificial intelligence - Google Patents
Picture resource pushing method and device based on artificial intelligence Download PDFInfo
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Abstract
The invention provides a picture resource pushing method and device based on artificial intelligence, wherein the method comprises the following steps: monitoring the position information of a user, and acquiring current scene characteristics if the current position is determined to be a preset effective scenic spot; inquiring the labeling information of pictures in a resource library in advance, and acquiring a target picture which is marked with shooting parameters and corresponds to the effective scenic spots and scene characteristics; and pushing the target picture to a user so that the user can take pictures according to the shooting parameters. Therefore, the target picture marked with the shooting parameters is recommended to the user in real time based on the current scene characteristics of the user, so that the user can start and watch at any time, a proper picture can be shot, the time of the user is saved, and the convenience in traveling is improved.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a picture resource pushing method and device based on artificial intelligence.
Background
Artificial Intelligence (Artificial Intelligence), abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence, a field of research that includes robotics, speech recognition, image recognition, natural language processing, and expert systems.
At present, Chinese people like travel on holidays, and most of Chinese people are self-help tourists. Everyone wants to leave a nice souvenir on the journey. Such as photos that are satisfactory to oneself, memorable, etc., when taken at a suitable time and place.
Most people do not have the professional photography capability of a photographer. Thus, a large number of travel strategies need to be searched for over the network before traveling. For example, by reviewing the travel log of others, and seeing how others take pictures, some shooting modes in the travel process are prepared and stored through learning and understanding in advance.
However, it is difficult for the user to collect the photos according to the fine sights when searching for the sights, and sometimes the photos are uneven and difficult to store, and the photos are cumbersome and inconvenient to view during traveling.
Disclosure of Invention
The present invention has been made to solve at least one of the technical problems of the related art to some extent.
Therefore, a first object of the present invention is to provide an artificial intelligence-based picture resource pushing method, which recommends a target picture labeled with shooting parameters to a user in real time based on the current scene characteristics of the user, so that the user can start and watch the target picture at any time, and can shoot a suitable picture, thereby saving the time of the user and improving the convenience in traveling.
The second purpose of the present invention is to provide an artificial intelligence based image resource pushing device.
The third purpose of the present invention is to provide another picture resource pushing apparatus based on artificial intelligence.
A fourth object of the invention is to propose a non-transitory computer-readable storage medium.
A fifth object of the invention is to propose a computer program product.
To achieve the above object, an embodiment of a first aspect of the present invention provides an artificial intelligence based image resource pushing method, including: monitoring the position information of a user, and acquiring current scene characteristics if the current position is determined to be a preset effective scenic spot; inquiring the labeling information of pictures in a resource library in advance, and acquiring target pictures marked with shooting parameters corresponding to the effective scenic spots and the scene characteristics; and pushing the target picture to the user so that the user can take pictures according to the shooting parameters.
According to the picture resource pushing method based on artificial intelligence, the position information of the user is monitored, the current scene characteristics are obtained when the current position is determined to be the preset effective scenic spot, the marking information of the picture in the resource library is inquired in advance, the target picture which corresponds to the effective scenic spot and the scene characteristics and is marked with the shooting parameters is obtained and pushed to the user, and the user can take pictures according to the shooting parameters. Therefore, the target picture marked with the shooting parameters is recommended to the user in real time based on the current scene characteristics of the user, so that the user can start and watch at any time, a proper picture can be shot, the time of the user is saved, and the convenience in traveling is improved.
In addition, the picture resource pushing method based on artificial intelligence according to the above embodiment of the present invention may further have the following additional technical features:
in one embodiment of the invention, the scene characteristics include at least one of: a view content characteristic, a time characteristic, a weather characteristic, a lighting characteristic.
In an embodiment of the present invention, after the acquiring the current scene feature, the method further includes: acquiring user attribute characteristics according to the input information of the user; the inquiring is to mark information of pictures in a resource library in advance, and the target picture marked with shooting parameters corresponding to the effective scenic spot and the scene features is obtained, and the inquiring comprises the following steps: and inquiring the labeling information of the pictures in the resource library in advance, and acquiring the target pictures marked with shooting parameters corresponding to the effective scenic spots, the scene characteristics and the user attribute characteristics.
In an embodiment of the present invention, the method further includes: and inquiring the resource library to acquire and push the sight spot information corresponding to the effective sight spots to the user.
In an embodiment of the present invention, if there are multiple target pictures, pushing the target pictures to the user includes: processing the data of each target picture according to a preset quantization standard to obtain corresponding quantization data; and sequencing the target pictures according to the quantization data and pushing the target pictures to the user.
In order to achieve the above object, an embodiment of a second aspect of the present invention provides an artificial intelligence based image resource pushing apparatus, including: the first processing module is used for monitoring the position information of a user and acquiring the current scene characteristics when the current position is determined to be a preset effective scenic spot; the second processing module is used for inquiring the labeling information of pictures in a resource library in advance and acquiring the target pictures which are labeled with shooting parameters and correspond to the effective scenic spots and the scene characteristics; and the pushing module is used for pushing the target picture to the user so that the user can take pictures according to the shooting parameters.
According to the picture resource pushing device based on artificial intelligence, disclosed by the embodiment of the invention, by monitoring the position information of the user, the current scene characteristics are obtained when the current position is determined to be the preset effective scenic spot, the marking information of the picture in the resource library is inquired in advance, and the target picture marked with the shooting parameters corresponding to the effective scenic spot and the scene characteristics is obtained and pushed to the user so that the user can take pictures according to the shooting parameters. Therefore, the target picture marked with the shooting parameters is recommended to the user in real time based on the current scene characteristics of the user, so that the user can start and watch at any time, a proper picture can be shot, the time of the user is saved, and the convenience in traveling is improved.
In addition, the picture resource pushing device based on artificial intelligence according to the above embodiment of the present invention may further have the following additional technical features:
in one embodiment of the invention, the scene characteristics include at least one of: a view content characteristic, a time characteristic, a weather characteristic, a lighting characteristic.
In an embodiment of the present invention, the apparatus further includes: the acquisition module is used for acquiring user attribute characteristics according to the input information of the user; the second processing module is configured to: and inquiring the labeling information of the pictures in the resource library in advance, and acquiring the target pictures marked with shooting parameters corresponding to the effective scenic spots, the scene characteristics and the user attribute characteristics.
In an embodiment of the present invention, the apparatus further includes: and the third processing module is used for inquiring the resource library to acquire and push the sight spot information corresponding to the effective sight spot to the user.
In an embodiment of the present invention, when there are multiple target pictures, the pushing module is configured to: processing the data of each target picture according to a preset quantization standard to obtain corresponding quantization data; and sequencing the target pictures according to the quantization data and pushing the target pictures to the user.
In order to achieve the above object, an embodiment of a third aspect of the present invention provides another artificial intelligence based image resource pushing apparatus, including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to: monitoring the position information of a user, and acquiring current scene characteristics if the current position is determined to be a preset effective scenic spot; inquiring the labeling information of pictures in a resource library in advance, and acquiring target pictures marked with shooting parameters corresponding to the effective scenic spots and the scene characteristics; and pushing the target picture to the user so that the user can take pictures according to the shooting parameters.
In order to achieve the above object, a fourth aspect of the present invention provides a non-transitory computer-readable storage medium, where instructions of the storage medium, when executed by a processor on a server side, enable the server side to perform an artificial intelligence-based picture resource pushing method, where the method includes: monitoring the position information of a user, and acquiring current scene characteristics if the current position is determined to be a preset effective scenic spot; inquiring the labeling information of pictures in a resource library in advance, and acquiring target pictures marked with shooting parameters corresponding to the effective scenic spots and the scene characteristics; and pushing the target picture to the user so that the user can take pictures according to the shooting parameters.
In order to achieve the above object, a fifth aspect of the present invention provides a computer program product, wherein when being executed by an instruction processor, the computer program product performs an artificial intelligence based picture resource pushing method, and the method includes: monitoring the position information of a user, and acquiring current scene characteristics if the current position is determined to be a preset effective scenic spot; inquiring the labeling information of pictures in a resource library in advance, and acquiring target pictures marked with shooting parameters corresponding to the effective scenic spots and the scene characteristics; and pushing the target picture to the user so that the user can take pictures according to the shooting parameters.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of a method for pushing picture resources based on artificial intelligence according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of another artificial intelligence-based image resource pushing method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of target image pushing;
fig. 4 is a schematic structural diagram of an artificial intelligence-based image resource pushing apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another artificial intelligence-based image resource pushing apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of another artificial intelligence-based image resource pushing apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The following describes a picture resource pushing method and device based on artificial intelligence according to an embodiment of the present invention with reference to the accompanying drawings.
Generally, most people need to find a large number of travel strategies through a network before traveling. For example, by browsing the travel logs of others, it is known how others take pictures. And collects some photos that one likes to take in order to take memorable photos during the trip.
However, the photos collected in the above manner are uneven, difficult to store, and not easy and quick to view during travel. In addition, the above method needs a lot of time for the user, and cannot meet the requirement of the user for traveling at any time.
In order to solve the problems, the invention provides a picture resource pushing method based on artificial intelligence, which is used for recommending a target picture marked with shooting parameters to a user in real time based on the current scene characteristics of the user, so that the user can start and watch the target picture at any time, can shoot a proper picture, saves the time of the user and improves the convenience in traveling. The method comprises the following specific steps:
fig. 1 is a schematic flowchart of a picture resource pushing method based on artificial intelligence according to an embodiment of the present invention.
As shown in fig. 1, the artificial intelligence based picture resource pushing method includes the following steps:
and step 110, monitoring the position information of the user, and acquiring the current scene characteristics if the current position is determined to be a preset effective scenic spot.
Specifically, the location information of the user may be obtained by a Global Positioning System (GPS), a base station, or the like.
Furthermore, the position information of the user can be monitored in real time or preset time and the like, and whether the current position of the user is a preset effective scenic spot or not is judged.
It will be appreciated that whether the current location is a preset valid sight indicates whether the current location corresponds to a sight. For example, the current position Q corresponds to the palace of the great palace of the old palace.
The method for determining the current position as the preset effective scenic spot has various modes, and the setting can be selected according to the actual application requirement. Examples are as follows:
in a first example, a mapping table of one-to-one correspondence between location information and valid sights is preset. When the current position of the user is obtained, whether the mapping table has an effective scenery spot corresponding to the mapping table is inquired, and if the mapping table has the effective scenery spot corresponding to the mapping table, the current scene characteristics are obtained.
In a second example, a preset algorithm is set. When the current position of the user is obtained, the current scene characteristics are obtained when the current position is a preset effective scenic spot through preset algorithm operation.
The types of scene features are many, such as a view content feature, a time feature, a weather feature, a lighting feature, and the like. One or more of the above can be selected according to the actual application requirements.
And step 120, inquiring the labeling information of the pictures in the resource library in advance, and acquiring the target picture which corresponds to the effective scenic spots and the scene characteristics and is marked with the shooting parameters.
Specifically, there are various ways of labeling the pictures in the resource library in advance to obtain the labeling information of the pictures, and the setting can be selected according to the actual application needs. Examples are as follows:
in a first example, pictures in a resource library are labeled with valid sight and view content features.
Specifically, the shooting location of the picture in the resource library is identified, and the position information of the picture in shooting and the affiliation with the effective scenic spot are marked. For example, through comparison of picture contents, remark information manually added by a user, and the like, the shooting location of the picture is obtained as the Imperial palace, and effective scenery spot labeling is performed on the picture of the same type in the resource library.
Specifically, the scene of the picture is compared with the real scene of the scenery spot, and the visual field content characteristics of the picture are labeled. For example, a certain picture contains a complete front face of the Tiananmen gate and city building, and the visual field content of the picture is characterized as the front face label. In addition, the shooting content can be marked as a complete scenery spot, the shooting focal length, and the like.
In a second example, a weather feature and a lighting feature are marked on pictures in a resource library.
Specifically, the environment information identification is carried out on the pictures in the resource library, and the weather features and the illumination features in the pictures are identified according to the illumination features and the picture contents in the pictures. The pictures can be marked with the illumination characteristics of strong, medium, weak and dark levels. The pictures may be marked with weather features that are common weather types, such as rain, snow, fog, etc.
In a third example, a picture in a resource library is labeled with user attribute features.
Specifically, the pictures in the resource library are subjected to character recognition, and attribute characteristics such as the number of characters in the pictures, the number of focal characters, the posture of the focal character, the age of the focal character, the gender of the focal character and the like are identified according to the characters in the pictures.
Further, the obtained effective scenic spots and scene features are inquired for the corresponding target picture in the labeling information of the pictures in the resource library. The target picture is marked with shooting parameters, such as shooting angle, shooting focal length and the like.
And step 130, pushing the target picture to a user so that the user can take a picture according to the shooting parameters.
Specifically, the target picture is pushed to the user, and the user can take a picture according to the shooting parameters marked in the target picture to obtain a proper picture.
The shooting parameters are various, such as shooting angle, shooting focal length, exposure time and the like, and a user can select one or more of the shooting parameters according to actual application needs to obtain a picture meeting the needs of the user.
In summary, in the picture resource pushing method based on artificial intelligence according to the embodiment of the present invention, by monitoring the position information of the user, the current scene characteristics are obtained when the current position is determined to be the preset effective scenery spot, and the tagging information of the picture in the resource library in advance is queried, so that the target picture marked with the shooting parameters corresponding to the effective scenery spot and the scene characteristics is obtained and pushed to the user, so that the user can take a picture according to the shooting parameters. Therefore, the target picture marked with the shooting parameters is recommended to the user in real time based on the current scene characteristics of the user, so that the user can start and watch at any time, a proper picture can be shot, the time of the user is saved, and the convenience in traveling is improved.
Fig. 2 is a schematic flowchart of another artificial intelligence-based image resource pushing method according to an embodiment of the present invention.
As shown in fig. 2, the artificial intelligence based picture resource pushing method includes:
and step 210, monitoring the position information of the user, and acquiring the current scene characteristics if the current position is determined to be a preset effective scenic spot.
It should be noted that the description of step S210 corresponds to step S110, and thus the description of step S210 refers to the description of step S110, and is not repeated herein.
Step 220, obtaining the user attribute characteristics according to the input information of the user.
And step 230, inquiring the labeling information of the pictures in the resource library in advance, and acquiring the target picture which is labeled with the shooting parameters and corresponds to the effective scenic spots, the scene characteristics and the user attribute characteristics.
Specifically, the user may manually input information, voice input information, and the like, and the gender, age, and the like of the user may be acquired from the input information.
It should be noted that, reference may be made to step 120 for describing the annotation information of the pictures in the repository in advance, and details are not described here.
Further, the obtained effective scenic spots, scene features and user attribute features are inquired for the corresponding target pictures in the labeling information of the pictures in the resource library. The target picture is marked with shooting parameters, such as shooting angle, shooting focal length and the like.
It should be noted that, when the target picture is a single picture, step 240 is executed. When there are multiple target pictures, in order to further improve the photographing effect, the pictures in the resource library may be evaluated, for example, the aesthetic feeling and the art of the pictures are evaluated by a machine or a human, and the target pictures are ranked and provided to the user by adopting a scoring or other mechanism. See steps 250 and 260 for a specific process.
And 240, pushing the target picture to the user so that the user can take pictures according to the shooting parameters.
It should be noted that the description of step S240 corresponds to step S130, and thus the description of step S240 refers to the description of step S130, and is not repeated herein.
And step 250, processing the data of each target picture according to a preset quantization standard to obtain corresponding quantization data.
And step 260, sequencing the target pictures according to the quantized data and then pushing the target pictures to a user.
Specifically, each target picture may be quantized according to a preset quantization standard, so as to obtain a quantization result corresponding to each target picture.
Further, each target picture can be sorted and pushed to the user according to the quantization result corresponding to each target picture.
It should be noted that, if there are multiple quantization standards, each target picture corresponds to multiple quantization results, and multiple quantization results corresponding to each target picture need to be normalized respectively, so that multiple quantization results corresponding to each target picture have comparability.
In summary, in the picture resource pushing method based on artificial intelligence according to the embodiment of the present invention, by monitoring the position information of the user, the current scene characteristic is obtained when the current position is determined to be a preset effective scenery spot, the user attribute characteristic is obtained according to the input information of the user, the labeling information of the picture in the resource library in advance is further queried, and the target picture marked with the shooting parameter corresponding to the effective scenery spot, the scene characteristic and the user attribute characteristic is obtained and pushed to the user, so that the user can take a picture according to the shooting parameter. Therefore, the target picture marked with the shooting parameters is recommended to the user in real time based on the current scene characteristics and the user attribute characteristics of the user, so that the user can start and watch at any time, a proper picture can be shot, the time of the user is saved, and the convenience in traveling is improved. And further improve the effect of shooing.
Based on the embodiment, tourist attraction information can be provided for the user according to the user requirements, so that the user can know the tourist attraction more deeply without tour guide explanation.
Therefore, the resource library can be inquired to obtain the sight spot information corresponding to the effective sight spot and push the sight spot information to the user.
The resource library pre-stores a plurality of scenic spot information, and after the effective scenic spots are obtained, the scenic spot information corresponding to the effective scenic spots can be inquired in the resource library and pushed to the user. Further improving the convenience in traveling.
In order to make the description of the above embodiments more clear to those skilled in the art, fig. 3 is a schematic diagram of target picture pushing. The following is illustrated in connection with fig. 3:
firstly, a user A travels in the home palace, the current position of the user A is identified to be the home palace through GPS positioning, the effective scenic spot is the home palace, and the user A can inquire a resource library to obtain scenic spot information corresponding to the home palace and push the scenic spot information to the user. When the user A enters the taihe palace, the current position of the user A is identified as the Imperial palace. The method includes the steps that current visual field content characteristics, time characteristics, weather characteristics, illumination characteristics, user attribute characteristics and the like are obtained, for example, the time characteristic is obtained to be 11 am, and it is determined that a user A is a woman, twenty-two years old and the like based on sound characteristics or historical data information of the user.
And searching in a resource library according to the scene characteristics and the effective scenic spots, screening out target pictures meeting the conditions, and providing the target pictures for the user A, as shown in fig. 3.
The specific process of screening is as follows: firstly, all pictures with effective scenic spots as the Imperial palace are screened out, and then target pictures are screened out from the pictures according to time characteristics and weather characteristics in scene characteristics and recommended to a user.
Therefore, the target picture marked with the shooting parameters is recommended to the user in real time based on the current scene characteristics and the user attribute characteristics of the user, so that the user can start and watch at any time, a proper picture can be shot, the time of the user is saved, and the convenience in traveling is improved.
In order to implement the above embodiment, the invention further provides an artificial intelligence-based image resource pushing device.
Fig. 4 is a schematic structural diagram of an artificial intelligence-based image resource pushing apparatus according to an embodiment of the present invention.
As shown in fig. 4, the artificial intelligence based picture resource pushing apparatus includes: a first processing module 41, a second processing module 42 and a push module 43.
The first processing module 41 is configured to monitor location information of a user, and obtain a current scene characteristic when determining that a current location is a preset effective scenic spot.
The second processing module 42 is configured to query labeling information of pictures in the resource library in advance, and obtain a target picture labeled with shooting parameters corresponding to the effective scenery spot and scene characteristics.
The pushing module 43 is configured to push the target picture to the user, so that the user can take a picture according to the shooting parameters.
Wherein, in one embodiment of the present invention, the scene characteristics include at least one of: a view content characteristic, a time characteristic, a weather characteristic, a lighting characteristic.
It should be noted that the foregoing explanation of the embodiment of the method for pushing picture resources based on artificial intelligence is also applicable to a device for pushing picture resources based on artificial intelligence, and is not repeated here.
In summary, the picture resource pushing device based on artificial intelligence according to the embodiment of the present invention, by monitoring the position information of the user, obtains the current scene characteristics when the current position is determined to be the preset effective scenery spot, and queries the label information of the picture in the resource library in advance, obtains the target picture marked with the shooting parameters corresponding to the effective scenery spot and the scene characteristics, and pushes the target picture to the user, so that the user can take a picture according to the shooting parameters. Therefore, the target picture marked with the shooting parameters is recommended to the user in real time based on the current scene characteristics of the user, so that the user can start and watch at any time, a proper picture can be shot, the time of the user is saved, and the convenience in traveling is improved.
For clarity of the above embodiment, the present embodiment provides another artificial intelligence based image resource pushing apparatus.
Fig. 5 is a schematic structural diagram of another artificial intelligence-based image resource pushing apparatus provided in this embodiment, and as shown in fig. 5, on the basis of the previous embodiment, the apparatus further includes: an acquisition module 44.
The obtaining module 44 is configured to obtain the user attribute feature according to the input information of the user.
The second processing module 42 is configured to query labeling information of pictures in the resource library in advance, and obtain a target picture labeled with shooting parameters corresponding to the effective scenery spot, scene characteristics, and user attribute characteristics.
When there are multiple target pictures, the pushing module 43 is configured to process data of each target picture according to a preset quantization standard, and obtain corresponding quantization data; and sequencing the target pictures according to the quantization data and then pushing the target pictures to the user.
Specifically, each target picture may be quantized according to a preset quantization standard, so as to obtain a quantization result corresponding to each target picture.
Further, each target picture can be sorted and pushed to the user according to the quantization result corresponding to each target picture.
It should be noted that the foregoing explanation of the embodiment of the method for pushing picture resources based on artificial intelligence is also applicable to a device for pushing picture resources based on artificial intelligence, and is not repeated here.
In summary, the picture resource pushing device based on artificial intelligence according to the embodiment of the present invention, by monitoring the position information of the user, obtains the current scene characteristics when the current position is determined to be the preset effective scenery spot, and obtains the user attribute characteristics according to the input information of the user, so as to query the labeling information of the pictures in the resource library in advance, obtain the target picture marked with the shooting parameters corresponding to the effective scenery spot, the scene characteristics, and the user attribute characteristics, and push the target picture to the user, so that the user can take a picture according to the shooting parameters. Therefore, the target picture marked with the shooting parameters is recommended to the user in real time based on the current scene characteristics and the user attribute characteristics of the user, so that the user can start and watch at any time, a proper picture can be shot, the time of the user is saved, and the convenience in traveling is improved. And further improve the effect of shooing.
For clarity of the above embodiment, the present embodiment provides another image resource pushing apparatus based on artificial intelligence.
Fig. 6 is a schematic structural diagram of another artificial intelligence-based image resource pushing apparatus provided in this embodiment, as shown in fig. 6, on the basis of the previous embodiment, the apparatus further includes: a third processing module 45.
The third processing module 45 is configured to query the resource library to obtain the sight spot information corresponding to the valid sight spot, and push the sight spot information to the user.
Specifically, tourist attraction information can be provided for the user according to the user requirements, so that the user can conveniently and deeply know the positions of the attractions under the condition that no guide explanation exists.
Therefore, the resource library can be inquired to obtain the sight spot information corresponding to the effective sight spot and push the sight spot information to the user.
It should be noted that the foregoing explanation of the embodiment of the method for pushing picture resources based on artificial intelligence is also applicable to a device for pushing picture resources based on artificial intelligence, and is not repeated here.
The resource library pre-stores a plurality of scenic spot information, and after the effective scenic spots are obtained, the scenic spot information corresponding to the effective scenic spots can be inquired in the resource library and pushed to the user. Further improving the convenience in traveling.
In order to implement the above embodiment, the present invention further provides another image resource pushing device based on artificial intelligence, including: a processor, and a memory for storing processor-executable instructions.
Wherein the processor is configured to: monitoring the position information of a user, and acquiring current scene characteristics if the current position is determined to be a preset effective scenic spot; inquiring the labeling information of pictures in a resource library in advance, and acquiring a target picture which is marked with shooting parameters and corresponds to the effective scenic spots and scene characteristics; and pushing the target picture to a user so that the user can take pictures according to the shooting parameters.
In order to implement the foregoing embodiment, the present invention further provides a non-transitory computer-readable storage medium, wherein instructions of the storage medium, when executed by a processor on a server side, enable the server side to execute an artificial intelligence-based picture resource pushing method, the method including: monitoring the position information of a user, and acquiring current scene characteristics if the current position is determined to be a preset effective scenic spot; inquiring the labeling information of pictures in a resource library in advance, and acquiring a target picture which is marked with shooting parameters and corresponds to the effective scenic spots and scene characteristics; and pushing the target picture to a user so that the user can take pictures according to the shooting parameters.
In order to implement the foregoing embodiment, the present invention further provides a computer program product, which when executed by an instruction processor in the computer program product, performs a method for pushing picture resources based on artificial intelligence, where the method includes: monitoring the position information of a user, and acquiring current scene characteristics if the current position is determined to be a preset effective scenic spot; inquiring the labeling information of pictures in a resource library in advance, and acquiring a target picture which is marked with shooting parameters and corresponds to the effective scenic spots and scene characteristics; and pushing the target picture to a user so that the user can take pictures according to the shooting parameters.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (6)
1. An artificial intelligence-based picture resource pushing method is characterized by comprising the following steps:
monitoring the position information of a user, and acquiring current scene characteristics if the current position is determined to be a preset effective scenic spot;
acquiring user attribute characteristics according to the input information of the user;
inquiring the labeling information of pictures in a resource library in advance, and acquiring target pictures marked with shooting parameters corresponding to the effective scenic spots, the scene characteristics and the user attribute characteristics; the method comprises the steps of identifying shooting positions of pictures in a resource library in advance, marking position information when the pictures are shot and the subordinate relation of the pictures and effective scenic spots, comparing scenic spots of the pictures in the resource library with scenic spot real scenes in advance, marking view content characteristics of the pictures, identifying environment information of the pictures in the resource library in advance, marking weather characteristics and illumination characteristics in the pictures, identifying people of the pictures in the resource library in advance, marking the number of the people in the pictures, the number of the focus people, the posture of the focus people, the age of the focus people and the sex attribute characteristics of the focus people to generate marking information of the pictures in the resource library;
pushing the target picture to the user so that the user can take a picture according to the shooting parameters; selecting one or more shooting parameters according to shooting requirements;
and inquiring the resource library to acquire tourist attraction information corresponding to the effective scenic spots and pushing the tourist attraction information to the user.
2. The method of claim 1, wherein the scene features comprise at least one of:
a view content characteristic, a time characteristic, a weather characteristic, a lighting characteristic.
3. The method of claim 1, wherein pushing the target picture to the user if there are more than one target picture comprises:
processing the data of each target picture according to a preset quantization standard to obtain corresponding quantization data;
and sequencing the target pictures according to the quantization data and pushing the target pictures to the user.
4. The utility model provides a picture resource pusher based on artificial intelligence which characterized in that includes:
the first processing module is used for monitoring the position information of a user and acquiring the current scene characteristics when the current position is determined to be a preset effective scenic spot;
the acquisition module is used for acquiring user attribute characteristics according to the input information of the user;
the second processing module is used for inquiring the labeling information of pictures in a resource library in advance and acquiring the target pictures which are marked with shooting parameters and correspond to the effective scenic spots, the scene characteristics and the user attribute characteristics; the method comprises the steps of identifying shooting positions of pictures in a resource library, labeling position information when the pictures are shot and the subordinate relation of the pictures and effective scenic spots, comparing scenic spots of the pictures in the resource library with scenery spot real scenes, labeling view content characteristics of the pictures, identifying environment information of the pictures in the resource library, labeling weather characteristics and illumination characteristics in the pictures, identifying characters of the pictures in the resource library, and labeling the number of the characters, the number of the focal characters, the posture of the focal character, the age of the focal character and the sex attribute characteristics of the focal character in the pictures;
the pushing module is used for pushing the target picture to the user so that the user can take a picture according to the shooting parameters; selecting one or more shooting parameters according to shooting requirements;
and the third processing module is used for inquiring the resource library to acquire and push the tourist attraction information corresponding to the effective attraction to the user.
5. The apparatus of claim 4, wherein the scene features comprise at least one of:
a view content characteristic, a time characteristic, a weather characteristic, a lighting characteristic.
6. The apparatus of claim 4, wherein when there are multiple target pictures, the pushing module is configured to:
processing the data of each target picture according to a preset quantization standard to obtain corresponding quantization data;
and sequencing the target pictures according to the quantization data and pushing the target pictures to the user.
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| CN107451186A (en) * | 2017-06-22 | 2017-12-08 | 珠海市魅族科技有限公司 | Photo processing method and device, computer installation and readable storage medium storing program for executing |
| CN107172218A (en) * | 2017-07-19 | 2017-09-15 | 荷花科技（北京）有限公司 | The integrated approach of artificial intelligence program, device and system |
| CN107609177B (en) * | 2017-09-29 | 2020-07-28 | 北京金山安全软件有限公司 | Recommendation method and device for photographing material, terminal equipment and medium |
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| CN107888823A (en) * | 2017-10-30 | 2018-04-06 | 维沃移动通信有限公司 | One kind shooting processing method, apparatus and system |
| CN108427743A (en) * | 2018-03-07 | 2018-08-21 | 浪潮软件集团有限公司 | Scenic spot retrieval and reordering method based on geographic position |
| CN109168127A (en) * | 2018-08-27 | 2019-01-08 | 优视科技新加坡有限公司 | Resource recommendation method, device, electronic equipment and computer-readable medium |
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