A method, device and electronic device for processing online game images

Abstract

The present invention relates to the field of game development, and discloses a network game image processing method, device and electronic equipment. The method comprises: obtaining basic information and game information of a player, and establishing a personality picture recommendation library according to the basic information and game information of the player; tracking the real-time position of a game character of the player in the network game, and determining the displacement route of the player based on the real-time position; sorting out replaceable images on the displacement route in the network game according to the determined displacement route; extracting the image address within the visual range of the game character in the replaceable image; matching the replaceable image with a personality picture in the personality picture recommendation library, and replacing the matched personality picture with the image address to display the corresponding personality picture in the network game; compared with the conventional universal replacement of game images, the present invention updates the replaceable images within the visual range of the player based on the prediction of the player's interests and hobbies, thereby improving the player's game experience.

Description

Technical Field

[0001] The present invention relates to the field of game development, and in particular to a network game image processing method, device and electronic equipment. Background Art

[0002] With the rapid development of electronic and computer technologies, as well as the iteration and development of software and the improvement of people's living standards, electronic games have become a form of entertainment for most people and have also brought a lot of economic and cultural value to society. The game industry has flourished, resulting in millions of games on the market, and the number is increasing by tens of thousands each year. It also generates massive amounts of big data on various platforms, helping developers improve user experience.

[0003] Among these games, the interior scenes, themes or scenes of most online games are either fixed and cannot be personalized according to different players; or they are updated regularly or periodically to update the content or themes; however, in either case, relative to the players, the interactive screens within the game are basically universal and lack personalized design, the gaming experience will gradually deteriorate, and it is easy to cause aesthetic fatigue, so there is room for improvement. Summary of the invention

[0004] The object of the present invention is to provide a method, device and electronic device for processing online game images to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A first aspect of the present invention is a method for processing an image of an online game, the method comprising:

[0007] Obtain the player's basic information and game information, and establish a personalized picture recommendation library based on the player's basic information and game information;

[0008] Tracking the real-time position of the player's game character in the online game, and determining the player's displacement route based on the real-time position;

[0009] According to the determined displacement route, sorting out replaceable images on the displacement route in the online game;

[0010] Extract the image address within the viewing range of the game character in the replaceable image;

[0011] The replaceable image is matched with a personalized image in a personalized image recommendation library, and the matched personalized image is replaced with the image address to display the corresponding personalized image in the online game.

[0012] As a further solution of the present invention: the online game image processing method further includes:

[0013] Get the theme selected by all players before the game loads;

[0014] Based on the voting mechanism, the most selected topics are determined and applied.

[0015] As a further solution of the present invention: the online game image processing method further includes:

[0016] Get the real location information of each player;

[0017] According to the real location information, query the weather data of the real location;

[0018] According to the weather data, an appropriate theme is selected from a preset theme library and applied to the range covered by the current player's displacement route.

[0019] As a further solution of the present invention: the step of obtaining the basic information and game information of the player and establishing a personalized picture recommendation library according to the basic information and game information of the player specifically includes:

[0020] Obtain the player's basic information and game information, and extract key recommendation features from the basic information and game information;

[0021] Based on the deep learning model, predict the image type that the player is interested in according to the key recommendation features;

[0022] According to the image types of interest, select a certain number of images to establish a personalized image recommendation library;

[0023] The personalized picture recommendation library is stored and the storage address is loaded into the online game.

[0024] As a further solution of the present invention: the online game image processing method further includes:

[0025] Count the players' liking for each personality picture, which can be represented by the time the players' eyes stay on the personality picture;

[0026] Sort by popularity from high to low;

[0027] A new personality picture is obtained to replace the personality picture whose likeness is lower than the second threshold, wherein the new personality picture is obtained by matching the personality picture whose likeness is higher than the first threshold.

[0028] As a further solution of the present invention: the step of tracking the real-time position of the game character of the player in the online game and determining the displacement route of the player based on the real-time position specifically includes:

[0029] Obtain the game tasks of the game characters, and determine the currently ongoing game tasks based on the real-time position of the game characters in the online game;

[0030] Determine the player's displacement route based on the current game task;

[0031] Or, predict the player's movement route based on historical positions over a period of time.

[0032] As a further solution of the present invention: in the step of replacing the matched individual picture to the image address, the image replacement is performed in a temporal and spatial order based on the displacement route.

[0033] A second aspect of the present invention is a network game image processing device, used in the network game image processing method, the network game image processing device comprising:

[0034] The key information acquisition module is used to obtain the basic information and game information of the player, and to establish a personalized picture recommendation library based on the basic information and game information of the player;

[0035] A route tracking module, used to track the real-time position of the player's game character in the online game, and determine the player's displacement route based on the real-time position;

[0036] An image combing module, used for combing replaceable images on the displacement route in the online game according to the determined displacement route;

[0037] A replacement address extraction module, used to extract the image address within the viewing angle of the game character in the replaceable image;

[0038] The image matching and replacement module is used to match the replaceable image with the type of personalized images in the personalized image recommendation library, and replace the matched personalized image with the image address to display the corresponding personalized image in the online game.

[0039] As a further solution of the present invention: the network game image processing device further includes:

[0040] Theme voting module, used to obtain themes selected by all players before the game is loaded;

[0041] The topic determination module is used to determine and apply the most selected topics based on a voting mechanism.

[0042] A third aspect of the present invention is an electronic device, comprising a processor and a memory, wherein the memory stores one or more computer programs, and the one or more computer programs can be executed by the processor to implement the online game image processing method as described above.

[0043] Compared with the prior art, the beneficial effects of the present invention are: the interests and hobbies of the player can be analyzed according to the relevant information of the player (or user), such as basic information and game information, and a personalized picture suitable for the player can be selected to establish a personalized picture recommendation library; a rough image processing area can be divided according to the game path or displacement route of the player in the game, and this area is mainly determined by the viewing angle range of the player on the displacement route; replaceable images within the analysis range; simple and general images in the game are replaced with personalized pictures. Since the personalized pictures are suitable for the players, the game experience of the players can be increased, and the aesthetic fatigue caused by general images during the game can be avoided, and the player's favorability towards the game can be maintained or even improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A flowchart of a method for processing an image of an online game in the present invention;

[0045] Figure 2 This is a first sub-flow diagram of a method for processing an image of an online game in the present invention;

[0046] Figure 3 This is a second sub-flow diagram of a method for processing an image of an online game in the present invention;

[0047] Figure 4 A third sub-flow diagram of a network game image processing method in the present invention;

[0048] Figure 5 This is a fourth sub-flow diagram of a method for processing an image of an online game in the present invention;

[0049] Figure 6 A fifth sub-flow chart of a network game image processing method in the present invention;

[0050] Figure 7 A block diagram of a network game image processing device in the present invention;

[0051] Figure 8 Another block diagram of a network game image processing device in the present invention;

[0052] Fig. 9 A schematic diagram of an application environment of an online game image processing method of the present invention;

[0053] Fig.10 The figure is a block diagram of the internal composition of a computer device in the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0055] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0056] like Figures 1 to 6 As shown, in one embodiment of the present invention, a network game image processing method may include the following steps:

[0057] S101: Obtain the basic information and game information of the player, and establish a personalized picture recommendation library based on the basic information and game information of the player;

[0058] In this step, basic information generally includes account number (which can be a phone number, WeChat ID or nickname, etc.), password, gender, etc. According to relevant regulations, restrictions on minors are set for online games. Basic information may include age, gender, address, etc. Game information includes the player's level in a game, levels passed, game resources obtained, etc.

[0059] See also Fig. 9 , game information is generally saved on the game server and can also be backed up locally to reduce game loading time; in some games, basic information is not saved and needs to be entered when logging into the game, or the basic information is encrypted and generally cannot be obtained unless user authorization (ie player authorization) is obtained; in some games, basic information is loaded through the game terminal and is specifically set in the game center of the game terminal. The game center is an application that manages accounts and logins for various games.

[0060] In one example of this embodiment, one or more game servers provide game downloads, updates, and data transmission and interaction; one or more game servers communicate with one or more game terminals, usually multiple game terminals (i.e. Fig. 9 In the example, the game server and the game terminal are also connected to a public picture library and a picture database, wherein the picture database can store image resources of online games; the picture database can be divided into a personalized picture recommendation library, which stores personalized pictures of each player; the public picture library can obtain and classify a certain number of public pictures through crawler technology or big data technology to facilitate the selection of personalized pictures.

[0061] S102: Tracking the real-time position of the game character of the player in the online game, and determining the displacement route of the player based on the real-time position;

[0062] Among them, real-time position tracking can be achieved through the tracker that comes with the online game. In some shooting and racing games, the displacement route is easy to determine.

[0063] S103: According to the determined displacement route, sorting out replaceable images on the displacement route in the online game;

[0064] In this step, for online games, the replaceable images in the game can be determined during development; therefore, in this step, the displacement route can be segmented or point-valued, and a coordinate system is established in the online game according to the results of the segmentation or point-valued, and the coordinate values ​​are marked, and the replaceable images on the displacement route are sorted out according to the coordinate values;

[0065] In one example, the replaceable images on the displacement route may be some guide maps, instructions, signs, advertisements or other types of pictures, and the related operations of the replaceable images do not affect the operation of the game itself.

[0066] S104: extracting the image address within the viewing angle of the game character from the replaceable image;

[0067] If the coordinate system of the online game can be established, it will be easier to determine the image address based on the coordinate value of the replaceable image and then extract it;

[0068] S105: Matching the replaceable image with a personalized image in a personalized image recommendation library, replacing the matched personalized image with the image address, so as to display the corresponding personalized image in the online game.

[0069] In this embodiment, the interests and hobbies of the player can be analyzed based on the basic information and game information of the player, and a personalized picture suitable for the player can be selected to establish a personalized picture recommendation library; according to the game path or displacement route of the player in the game, the approximate viewing angle range on the displacement route is divided; and the replaceable images within the range are analyzed; the simple and general images in the game are replaced with personalized pictures to increase the uniqueness and fun of the game; because the personalized pictures are suitable for the players, it is easy to increase the player's gaming experience, avoid the aesthetic fatigue caused by general images during the game, and improve the player's favorability towards the game.

[0070] In one embodiment, Figure 2 As shown, the online game image processing method also includes:

[0071] S201: Get the theme selected by all players before the game is loaded;

[0072] S202: Based on the voting mechanism, determine the most selected topic and apply it.

[0073] In one scenario of this embodiment, the themes are as follows: desert, rainforest, city, countryside, island, etc.;

[0074] Voting mechanism: Each player is counted as one vote, and unselected ones are counted as zero. The votes for the selected topics are summed up after statistics, and the topic with the most votes is selected and displayed after application.

[0075] In one embodiment, Figure 3 As shown, the online game image processing method also includes:

[0076] S301: Obtaining the real location information of each player;

[0077] The real location information of the player can be directly obtained through the game terminal. Generally, when the game terminal communicates with the game server, there is a communication address verification and a protocol handshake, based on which the real location information of the player can be obtained.

[0078] S302: querying weather data of the real location according to the real location information;

[0079] Weather data can be obtained through the game terminal or queried by the game server based on real location information.

[0080] S303: According to the weather data, an appropriate theme is selected from a preset theme library, and applied to the range covered by the current player's displacement route.

[0081] Among them, the adaptation, i.e. cloudy, sunny, rainy, snowy, etc., corresponds to the cloudy, sunny, rainy, snowy, etc. in the game, bringing players a more immersive gaming experience and enhancing the fun of the game and the satisfaction with the game.

[0082] It can be understood that step S303 of this embodiment mainly acts on a local scene of the game and does not affect the setting of the overall scene or theme of the game.

[0083] In this step, generally, for shooting and racing games, since the player's displacement route is limited and can be determined more easily, it is relatively easier to replace the personalized picture.

[0084] In an example of this embodiment, when the method is implemented, the types of online games can be distinguished in advance according to the playing methods; the types of distinction include but are not limited to the following:

[0085] Shooting (FPS / TPS): This type of game is mainly about fighting and shooting, and players use long-range weapons such as guns to fight. Games can be divided into two perspectives: first-person shooting (FPS) and third-person shooting (TPS). Representative games: Counter-Strike, Call of Duty, CrossFire, Game for Peace, etc.

[0086] MOBA (Multiplayer Online Battle Arena): This type of game is usually played online in a 5v5 format. Players choose a hero character and use their skills to achieve the goal of fighting and destroying towers. Representative games: "Honor of Kings", "DOTA", "League of Legends", etc.

[0087] Action: Action games emphasize smooth combat and complex combo skills, and there are many types of branches, such as fighting, shooting, and adventure. Representative games: Devil May Cry, Darksiders, Ninja Gaiden, God of War, etc.

[0088] Role Playing Games (RPG): These games attract players with their rich gameplay, ingenious plots, and a world that can be explored freely. Representative games include: Genshin Impact, The Witcher, Final Fantasy, The Elder Scrolls, Dark Souls, etc.

[0089] Strategy: Strategy games emphasize the use of intelligence and strategy. Players need to use resources to plan production in order to win. The game content includes various types such as turn-based and real-time. Representative games: "Civilization", "Total War", "Romance of the Three Kingdoms", etc.

[0090] Real-time strategy (RTS): The core of this type of game is the competition for resources and the collision of technology. Players pursue more sense of achievement in battle. Representative games: "Warcraft", "Starcraft", "Red Alert", etc.

[0091] Racing: Players participate in virtual competitions in the game, emphasizing speed and skills. Representative games: QQ Speed, Need for Speed, Project CARS, etc.

[0092] Adventure puzzle games: emphasize exploration and puzzle elements. Players need to solve various puzzles in the game. Representative games: Tomb Raider, Uncharted, etc.

[0093] Music / Rhythm: Players play games following the rhythm of music, such as playing the piano, beating drums, dancing, etc. Representative games: Guitar Hero, Just Dance, Rhythm Master, etc.

[0094] It should be noted that the above examples do not include all existing game categories, but are only some illustrative examples; with the development of technology and the changes in player needs, game types are constantly innovating and evolving. In addition, some games may combine the characteristics of multiple types to form a composite game type, such as ARPG (action role-playing game) combines elements of action and role-playing.

[0095] In one example of this embodiment, Figure 4 As shown, the step of obtaining the basic information and game information of the player and establishing a personalized picture recommendation library according to the basic information and game information of the player specifically includes:

[0096] S401: Obtain basic information and game information of the player, and extract key recommendation features from the basic information and game information;

[0097] Among them, the key recommendation features include gender, age, and game characters, and these features are used to make personalized recommendations;

[0098] S402: Based on the deep learning model, predict the image type that the player is interested in according to the key recommendation features;

[0099] When predicting image types, multiple recommendations can be made and players can choose, with continuous iterative optimization, so that the prediction results of the deep learning model are more in line with players' expectations.

[0100] S403: Selecting a certain number of images according to the image type of interest and establishing a personalized image recommendation library;

[0101] Among them, the image type of interest can be one, which is most suitable for the displacement route of the current player and can be applied;

[0102] There may also be two types, one applied in the current displacement route, and the other applied in the next foreseeable displacement route.

[0103] In this step, the certain number of images is, for example, 20, 30, 50 or 100 images;

[0104] Different personalized picture recommendation libraries can be established for different online games; or the same personalized picture recommendation library can be used, and no specific limitation is made here.

[0105] S404: Store the personalized picture recommendation library and load the storage address into the online game.

[0106] In this step, generally, the address where the personalized picture recommendation library is stored is locally, that is, the game terminal.

[0107] In one embodiment, Figure 5 As shown, the online game image processing method also includes:

[0108] S501: Counting the players' liking for each personality picture, which can be represented by the player's gaze dwelling time on the personality picture;

[0109] Among them, the time that the player's gaze stays on the personalized picture can be recorded as Ti; the time that ordinary players' gaze stays on the corresponding replaceable image before replacement can be recorded as ti; statistics are performed by comparing the values ​​of △Ti=Ti-ti; for example, the attractiveness of the personalized picture to the player is judged according to the positive and negative values ​​of △T, that is, the player's degree of liking for the personalized picture; among them, i is the number of the personalized picture.

[0110] S502: sorting from high to low according to the statistical preference degree;

[0111] In this step, as mentioned above, the likeability can be sorted by the size of △Ti.

[0112] S503: Obtain a new personality picture to replace the personality picture whose likeness is lower than the second threshold, wherein the new personality picture is obtained by matching the personality pictures whose likeness is higher than the first threshold.

[0113] For example, if the degree of preference is ranked from high to low, from 10 to 0, then the second threshold can be set to 3 and the first threshold can be set to 7.

[0114] In one embodiment, Figure 6 As shown, the step of tracking the real-time position of the game character of the player in the online game and determining the displacement route of the player based on the real-time position specifically includes:

[0115] S601: Obtaining a game task of a game character, and determining a currently ongoing game task according to the real-time position of the game character in the online game;

[0116] S602: Determine the player's displacement route according to the currently ongoing game task.

[0117] In an example of this embodiment, when the real-time position cannot be determined through the game task, and thus the player's displacement route is determined, the game interface can be called to obtain the game task progress information, and based on the task progress information, the game settings can be queried to determine the real-time position, or image capture can be performed to further identify the real-time position of the player's game character using the captured image.

[0118] In one example of this embodiment, the player's displacement route is predicted based on the historical position over a period of time;

[0119] Among them, the setting of a period of time can be flexibly set according to the replacement scene of the specific image, such as 5 seconds, 15 seconds or 30 seconds and so on.

[0120] In an example of this embodiment, in the step of replacing the matched individual picture to the image address, the image replacement is performed in a temporal and spatial order based on the displacement route;

[0121] Specifically, the images are replaced according to the time sequence and spatial position sequence.

[0122] In another embodiment, Figure 7 As shown, an online game image processing device is used for the online game image processing method, and the online game image processing device comprises:

[0123] The key information acquisition module 100 is used to acquire the basic information and game information of the player, and to establish a personalized picture recommendation library based on the basic information and game information of the player;

[0124] A route tracking module 200 is used to track the real-time position of the game character of the player in the online game and determine the player's displacement route based on the real-time position;

[0125] An image combing module 300 is used to comb replaceable images on the displacement route in the online game according to the determined displacement route;

[0126] A replacement address extraction module 400 is used to extract the image address within the viewing angle of the game character in the replaceable image;

[0127] The image matching and replacement module 500 is used to match the replaceable image with the type of personality pictures in the personality picture recommendation library, and replace the matched personality picture with the image address to display the corresponding personality picture in the online game.

[0128] In one example of this embodiment, Figure 8 As shown, the network game image processing device also includes:

[0129] Theme voting module 600, used to obtain themes selected by all players before the game is loaded;

[0130] The theme determination module 700 is used to determine and apply the most selected theme based on a voting mechanism.

[0131] In an example of this embodiment, the network game image processing device further includes:

[0132] The regional image update module is used to update the replaceable images on the player's displacement route; this module specifically includes:

[0133] A position information acquisition unit, used to acquire the real position information of each player;

[0134] A weather data query unit, used to query the weather data of the real location according to the real location information;

[0135] The local image updating unit is used to select an appropriate theme from a preset theme library according to the weather data, and apply it to the range involved in the displacement route of the current player.

[0136] In an example of this embodiment, the key information acquisition module 100 specifically includes:

[0137] An information acquisition and classification unit, used to obtain basic information and game information of players, and extract key recommendation features from the basic information and game information;

[0138] An image type prediction unit, configured to predict the image type that the player is interested in based on the key recommendation features based on a deep learning model;

[0139] A recommendation library creation unit, used to select a certain number of images according to the image type of interest and establish a personalized image recommendation library;

[0140] The recommendation library loading unit is used to store the personalized picture recommendation library and load the storage address into the online game.

[0141] In another embodiment, an electronic device includes a processor and a memory, wherein the memory stores one or more computer programs, and the one or more computer programs can be executed by the processor to implement the online game image processing method as described above.

[0142] Fig.10 The internal structure diagram of a computer device in one embodiment is shown. The computer device includes a processor, a memory, a network interface, an input device and a display screen connected through a system bus. Among them, the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program, which, when executed by the processor, enables the processor to implement the online game image processing method. The internal memory may also store a computer program, which, when executed by the processor, enables the processor to execute the online game image processing method. The display screen of the computer device may be a liquid crystal display or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a button, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0143] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0144] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0145] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

[0146] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A network game image processing method, characterized in that: The online game image processing method comprises: Obtain the player's basic information and game information, and establish a personalized picture recommendation library based on the player's basic information and game information; Tracking the real-time position of the player's game character in the online game, and determining the player's displacement route based on the real-time position; According to the determined displacement route, sorting out replaceable images on the displacement route in the online game; Extract the image address within the viewing range of the game character in the replaceable image; Matching the replaceable image with a personalized image in a personalized image recommendation library, replacing the matched personalized image with the image address, so as to display the corresponding personalized image in the online game; The step of obtaining the basic information and game information of the player and establishing a personalized picture recommendation library according to the basic information and game information of the player specifically includes: Obtain the player's basic information and game information, and extract key recommendation features from the basic information and game information; Based on the deep learning model, predict the image type that the player is interested in according to the key recommendation features; According to the image types of interest, select a certain number of images to establish a personalized image recommendation library; The personalized picture recommendation library is stored, and the storage address is loaded into the online game; The online game image processing method also includes: Count the players' liking for each personality picture, which is represented by the time the players' eyes stay on the personality picture; Sort by statistical preference from high to low; A new personality picture is obtained to replace the personality picture whose likeness is lower than the second threshold, wherein the new personality picture is obtained by matching the personality picture whose likeness is higher than the first threshold.

2. The online game image processing method according to claim 1, characterized in that: The online game image processing method also includes: Get the theme selected by all players before the game loads; Based on the voting mechanism, the most selected topics are determined and applied.

3. The online game image processing method according to claim 1 or 2, characterized in that: The online game image processing method also includes: Get the real location information of each player; According to the real location information, query the weather data of the real location; According to the weather data, an appropriate theme is selected from a preset theme library and applied to the range covered by the current player's displacement route.

4. The online game image processing method according to claim 1, characterized in that: The step of tracking the real-time position of the game character of the player in the online game and determining the displacement route of the player based on the real-time position specifically includes: Obtain the game tasks of the game characters, and determine the currently ongoing game tasks based on the real-time position of the game characters in the online game; Determine the player's displacement route based on the current game task; Or, predict the player's movement route based on historical positions over a period of time.

5. The online game image processing method according to claim 1, characterized in that: In the step of replacing the matched individual picture to the image address, the image replacement is performed in a temporal and spatial order based on the displacement route.

6. An online game image processing device, used in the online game image processing method according to any one of claims 1 to 5, characterized in that: The network game image processing device comprises: The key information acquisition module is used to obtain the basic information and game information of the player, and to establish a personalized picture recommendation library based on the basic information and game information of the player; A route tracking module, used to track the real-time position of the player's game character in the online game, and determine the player's displacement route based on the real-time position; An image combing module, used for combing replaceable images on the displacement route in the online game according to the determined displacement route; A replacement address extraction module, used to extract the image address within the viewing angle of the game character in the replaceable image; The image matching and replacement module is used to match the replaceable image with the type of personalized images in the personalized image recommendation library, and replace the matched personalized image with the image address to display the corresponding personalized image in the online game.

7. The network game image processing device according to claim 6, characterized in that: The network game image processing device also includes: Theme voting module, used to obtain themes selected by all players before the game is loaded; The topic determination module is used to determine and apply the most selected topics based on a voting mechanism.

8. An electronic device, characterized in that: The electronic device includes a processor and a memory, wherein the memory stores one or more computer programs, and the one or more computer programs can be executed by the processor to implement the online game image processing method as described in any one of claims 1-5.

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