CN112069347A - Travel note generation method and device, computer equipment and readable storage medium - Google Patents

Travel note generation method and device, computer equipment and readable storage medium Download PDF

Info

Publication number
CN112069347A
CN112069347A CN202010921684.4A CN202010921684A CN112069347A CN 112069347 A CN112069347 A CN 112069347A CN 202010921684 A CN202010921684 A CN 202010921684A CN 112069347 A CN112069347 A CN 112069347A
Authority
CN
China
Prior art keywords
travel note
picture
travel
template
sight spot
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.)
Granted
Application number
CN202010921684.4A
Other languages
Chinese (zh)
Other versions
CN112069347B (en
Inventor
毛宇兆
李炫�
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ping An Life Insurance Company of China Ltd
Original Assignee
Ping An Life Insurance Company of China Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Ping An Life Insurance Company of China Ltd filed Critical Ping An Life Insurance Company of China Ltd
Priority to CN202010921684.4A priority Critical patent/CN112069347B/en
Publication of CN112069347A publication Critical patent/CN112069347A/en
Application granted granted Critical
Publication of CN112069347B publication Critical patent/CN112069347B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/5866Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/10Text processing
    • G06F40/166Editing, e.g. inserting or deleting
    • G06F40/186Templates

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Library & Information Science (AREA)
  • Databases & Information Systems (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Image Analysis (AREA)

Abstract

The invention relates to artificial intelligence, is applied to the intellectual city, disclose a travel note generating method, apparatus and medium, the method comprises: obtaining a scenery spot picture; determining the name of the sight spot picture, and marking the name of the sight spot for the sight spot picture; acquiring corresponding sight spot information according to the sight spot names, and matching the sight spot information for the sight spot pictures to generate travel note templates of different sight spot pictures; acquiring a travel note picture input by a user, and performing similarity matching on the travel note picture and the sight spot picture to acquire a matching score of a travel note template; if the travel note template with the matching score larger than the preset score exists, taking the travel note template with the matching score larger than the preset score as a target travel note template; and generating the target travel notes according to the target travel note template and the travel note pictures. The scheme also relates to a block chain technology, and the matching scores can be stored in the block chain. The method for generating the travel notes can realize automatic generation of the travel notes according to the pictures input by the tourists so as to solve the pain point that the tourists cannot conveniently and integrally manually travel notes.

Description

Travel note generation method and device, computer equipment and readable storage medium
Technical Field
The invention relates to the technical field of artificial intelligence, is applied to smart cities, and particularly relates to a travel note generation method and device, computer equipment and a readable storage medium.
Background
Nowadays, with the high popularization of smart phones, cameras have become standard configurations of smart phones, and for tourism users, the camera of the smart phone can be used for shooting at any time, so that the memory of the playing process can be saved, pictures shot at any time can be shared by people around the user, and the mode of life of the people is formed. Even some users may choose to record the progress of the game in a way that the game is written in a memorandum.
The tourists usually take pictures and characters in the scene of actual travel, the tourists often take pictures in the scenic spot visiting process, the arrangement and writing of the tourists are usually carried out after visiting or even after a period of time, so for the tourists, the memory of the tourists in the visiting process is usually only reserved in a mobile phone album or an electronic camera album, and the scenic spot names corresponding to the scenic spot pictures are probably forgotten, so that the convenience is not provided for the tourists to arrange the tourists after the tourists play, and the readability of the arranged tourists is not high due to the fact that the users lack the experience of the tourists in writing.
Disclosure of Invention
The invention provides a travel note generation method and device, computer equipment and a readable storage medium, which are used for solving the problems that a user is inconvenient to arrange travel notes and the readability of the arranged travel notes is poor.
The first aspect of the present invention provides a travel note generating method, including:
obtaining sight spot pictures of a sight spot;
determining the sight spot name of the sight spot picture, and labeling the sight spot name for the sight spot picture;
acquiring corresponding sight spot information according to the sight spot names, and correspondingly matching the sight spot information for the sight spot pictures to generate travel note templates corresponding to different sight spot pictures;
acquiring a travel note picture input by a user and used for generating travel notes, and performing similarity matching on the travel note picture and sight spot pictures in the travel note templates to acquire a matching score of each travel note template;
determining whether there is a travel note template with the matching score larger than a preset score from each travel note template;
if the travel note template with the matching score larger than the preset score exists, taking the travel note template with the matching score larger than the preset score as a target travel note template;
and generating the target travel notes according to the target travel note template and the travel note pictures.
Optionally, the taking the travel note template of which the similarity matching score is greater than the preset score and which corresponds to the sight picture as the target travel note template includes:
and if the similarity matching score is smaller than the preset score, generating a matching result prompt, wherein the matching result prompt is used for guiding a user to input pictures of the associated scenic spots so as to obtain the target travel note template again.
Optionally, after determining whether there is a travel note template having a matching score greater than a preset score, the method further includes:
if the travel note template with the matching score larger than the preset score does not exist, generating a matching result prompt, wherein the matching result prompt is used for guiding a user to input pictures of the associated scenic spots;
when the pictures of the associated scenic spots input by the user are received, carrying out similarity matching on the tourist pictures and the pictures of the associated scenic spots;
if the similarity matching between the travel note picture and the pictures of the associated scenic spots is determined to be larger than the preset score, generating a travel note template corresponding to the pictures of the associated scenic spots;
and taking the travel note template corresponding to the picture of the associated scenic spot as the target travel note template.
Optionally, the obtaining of the corresponding sight spot information according to the sight spot name and the corresponding matching of the sight spot information to the sight spot picture to generate the travel note template corresponding to different sight spot pictures includes:
generating a travel note basic template according to the sight spot picture; the travel note basic template comprises a first area and a second area, wherein the first area is positioned in the sight spot picture, and the second area is positioned outside the sight spot picture;
based on the scenery spot picture, obtaining shape feature information of the scenery spot picture through an image processing algorithm;
inputting the shape feature information into a preset couplet generation model to obtain a target couplet of the shape feature information;
and correspondingly inserting the target couplet into the first area or the second area to generate a travel note template corresponding to the sight spot picture.
Optionally, the obtaining of the corresponding sight spot information according to the sight spot name and the corresponding matching of the sight spot information to the sight spot picture to generate the travel note template of different sight spot pictures includes:
generating a travel note basic template according to the sight spot picture; the travel note basic template comprises a first area and a second area, wherein the first area is positioned in the sight spot picture, and the second area is positioned outside the sight spot picture;
based on the scenery spot picture, obtaining hue information of the scenery spot picture through an image processing algorithm;
inputting the tone information into a preset poetry generating model to obtain target poetry of the tone information;
and correspondingly inserting the target poem into the first area or the second area to generate a travel note template corresponding to the sight spot picture.
Optionally, the obtaining of the corresponding sight spot information according to the sight spot name and the corresponding matching of the sight spot information to the sight spot picture to generate the travel note template of different sight spot pictures includes:
generating a travel note basic template according to the sight spot picture; the travel note basic template comprises a first area and a second area, wherein the first area is positioned in the sight spot picture, and the second area is positioned outside the sight spot picture;
acquiring weather information corresponding to the scenery spot picture based on the scenery spot picture;
inputting the weather information into a preset golden sentence soft text generation model to obtain a target golden sentence soft text of the weather information;
and correspondingly inserting the target golden sentence soft text into the first area or the second area to generate a travel note template corresponding to the sight spot picture.
Optionally, the taking the travel note template of which the similarity matching score is greater than the preset score and which corresponds to the sight picture as the target travel note template includes:
and selecting a top K-bit travel note template as a target travel note template from the travel note templates of the sight spot pictures corresponding to the similarity matching scores larger than the preset score, so that the travel notes based on the travel note pictures are generated according to the target travel note template.
A second aspect of the present invention provides a travel note generating apparatus, including:
the acquisition module is used for acquiring the scenic spot pictures of the scenic spot;
the marking module is used for determining the sight spot name of the sight spot picture and marking the sight spot name for the sight spot picture;
the matching module is used for acquiring corresponding sight spot information according to the sight spot names and correspondingly matching the sight spot information for the sight spot pictures so as to generate travel note templates corresponding to different sight spot pictures;
the matching score acquisition module is used for acquiring a travel note picture which is input by a user and used for generating travel notes, and performing similarity matching on the travel note picture and sight spot pictures in the travel note templates to acquire a matching score of each travel note template;
the travel note template determining module is used for determining whether a travel note template with the matching score larger than a preset score exists in each travel note template;
the target template generation module is used for taking the travel note template with the matching score larger than the preset score as a target travel note template if the travel note template with the matching score larger than the preset score exists;
and the travel note generating module is used for generating a target travel note according to the target travel note template and the travel note picture.
Optionally, the travel note template determination module is further configured to:
if the travel note template with the matching score larger than the preset score does not exist, generating a matching result prompt, wherein the matching result prompt is used for guiding a user to input pictures of the associated scenic spots;
when the pictures of the associated scenic spots input by the user are received, carrying out similarity matching on the tourist pictures and the pictures of the associated scenic spots;
if the similarity matching between the travel note picture and the pictures of the associated scenic spots is determined to be larger than the preset score, generating a travel note template corresponding to the pictures of the associated scenic spots;
and taking the travel note template corresponding to the picture of the associated scenic spot as the target travel note template.
A third aspect of the present invention provides a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the method of generating a shorthand according to the first aspect of the present invention when executing the computer program.
A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the biographical generation method according to the first aspect of the present invention.
The invention provides a travel note generation method, a travel note generation device, computer equipment and a readable storage medium, wherein the method comprises the following steps: obtaining sight spot pictures of a sight spot; determining the name of the sight spot picture, and labeling the name of the sight spot for the sight spot picture; acquiring corresponding sight spot information according to the sight spot names, and correspondingly matching the sight spot information for the sight spot pictures to generate travel note templates corresponding to different sight spot pictures; acquiring a travel note picture input by a user and used for generating travel notes, and performing similarity matching on the travel note picture and sight spot pictures in the travel note template to acquire a matching score of each travel note template; determining whether a travel note template with a matching score larger than a preset score exists in each travel note template; if the travel note template with the matching score larger than the preset score exists, taking the travel note template with the matching score larger than the preset score as a target travel note template; and generating the target travel notes according to the target travel note template and the travel note pictures. The tourist note generation method provided by the invention can realize automatic generation of the tourist note according to the tourist note picture input by the tourist, so that the problems that the tourist note is inconvenient to arrange and the readability of the arranged tourist note is poor in the tourism process are solved, and the experience of the tourist in the tourism process is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor. Wherein the drawings are described as follows:
FIG. 1 is a flow chart of a method for generating a travel note according to an embodiment of the invention;
FIG. 2 is a flow chart illustrating the generation of a travel note template according to an embodiment of the present invention;
FIG. 3 is another flow chart illustrating the generation of a travel note template according to an embodiment of the present invention;
FIG. 4 is another flow chart illustrating the generation of a travel note template according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an architecture of a vernier generation apparatus according to an embodiment of the present invention;
FIG. 6 is a block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An embodiment of the present invention provides a travel note generating method, and specifically, as shown in fig. 1, the method may include the following steps:
s10: and obtaining the sight spot pictures of the sight spot.
In an application scenario, based on a travel record template that needs to be generated, a theme of the travel record template generated for scenic spots of a scenic region may be determined first, and specifically, for example, when the travel record template needs to be set for a certain scenic region, the travel record template may be divided into: for example, a flower appreciation or an animal appreciation with a landscape as a theme, or a parent-child appreciation or a student appreciation with a character as a theme, and the like, and a large number of sight spot pictures based on sight spots in different theme scenic spots are obtained, for example, when a travel note template for the animal appreciation needs to be designed, sight spot pictures based on statue and animals in a certain scenic spot can be correspondingly obtained.
In an embodiment, the scene point pictures based on the scene point scenes are obtained, specifically, the scene point scenes of different scene points can be shot and obtained in real time through the picture collecting device, and the picture collecting device may be, for example, a smart phone or a professional photographing device, and the like, which is not limited herein. It should be noted that, a large number of sight spot pictures obtained for the travel note template may include not only sight spot pictures obtained by on-site acquisition, but also sight spot pictures obtained through a channel such as the internet, for example, and the present invention is not limited herein.
S20: and determining the sight spot name of the sight spot picture, and labeling the sight spot name for the sight spot picture.
After the sight spot pictures of the sight area are obtained, the sight spot name of each sight spot picture can be determined, and the corresponding sight spot name is labeled for each sight spot picture. In an application scene, for example, when a scene of a scenic spot needs to be subjected to real-time picture acquisition, the picture acquisition can be performed through a camera of a smart phone, and it can be understood that the smart phone is generally integrated with a Global Positioning System (GPS) module, so that the GPS module of the smart phone can be used for performing auxiliary positioning on a scenic spot of a scene real-time picture to obtain a scenic spot name based on a picture of the scenic spot and label the scenic spot name for the scenic spot picture; or, when the picture capturing device is a professional photographing device, the captured picture may be acquired to obtain the name of the current scenery spot through, for example, an image recognition technology, it can be understood that, based on the database of the current scenery spot picture, the scenery spot name of the corresponding picture may be acquired from the picture acquired in real time through the image recognition technology, and of course, the picture captured by the smartphone may also adopt this way, which is not limited here. In addition, real-time recording can be performed according to the location tag of the scene of the scenic spot, and the corresponding scenery name tag is labeled for the scenery picture, which is not limited here. In the implementation, the association relationship between the sight spot picture and each sight spot name can be established by determining the sight spot name of the sight spot picture and marking the corresponding sight spot name for the corresponding sight spot picture.
S30: and acquiring corresponding sight spot information according to the sight spot names, and correspondingly matching the sight spot information for the sight spot pictures to generate travel note templates corresponding to different sight spot pictures.
After the sight spot name of the sight spot picture is determined, corresponding sight spot information can be obtained according to the sight spot name, specifically, the sight spot information can be information introduced by a guide manual of the sight spot, specifically, the sight spot information can include information such as sight spot position, geography, climate or human and the like, the sight spot information can also be information such as historical knowledge related to the sight spot, in one embodiment, the sight spot information is historical knowledge, corresponding historical knowledge can be obtained according to the sight spot name, and the historical knowledge is correspondingly matched for the sight spot picture, so that travel note templates of different sight spot pictures can be generated. Illustratively, historical knowledge corresponding to the names of the scenic spots can be obtained through a guide manual of the scenic spots in each scenic spot, or the corresponding historical knowledge can be obtained from an official website of each scenic spot in an internet manner according to the names of the scenic spots, and the historical knowledge is correspondingly matched for the scenic spot pictures, so that the travel note template based on the scenic spot pictures is generated.
Illustratively, for example, if the sight name of the sight picture is a famous sight, historical knowledge of the famous sight may be obtained, which may include, for example, a significant event, which may be, for example, "in xxxx, the country was in the beginning of establishment, the country leader XXX published significant speech at the sight and watched the classical ceremony. In the embodiment, the corresponding historical knowledge is obtained according to the names of the scenic spots, the histories of the corresponding scenic spots can be presented, the memory of the tourists to the scenic spots of a certain place can be more profound, the corresponding historical knowledge points can be supplemented and expanded for the tourists, and the generated travel note template can have more historical interest and can be richer by establishing the mapping relation between the scenic spots and the corresponding historical knowledge. In the above embodiment, it should be noted that, in addition to matching the corresponding history knowledge for the scene image, a strange event or the like may be matched for the scene image, and specifically, the strange event may be a legend of the scenic spot, and is not limited herein.
S40: and acquiring the travel note picture of the user for generating the travel note, and performing similarity matching on the travel note picture and the sight spot pictures in the travel note template to acquire the matching score of each travel note template.
In one embodiment, the user's travel note picture for generating the travel note is obtained, and it is understood that the travel note picture may be obtained from an album of the user's smartphone or photographing device, or from a picture taken in real time during the user's playing, or may be obtained from a picture library of the internet, and is not limited. Similarity matching is carried out on the travel note pictures input by the user and different sight spot pictures in the travel note templates, and matching scores of all the travel note templates can be obtained.
In an embodiment, the matching score may also be stored in a blockchain, and specifically, the matching score may be stored in a node of a blockchain, where the blockchain technology is a technology that can perform storage, verification, transfer, and communication of network data through its own distributed nodes without depending on a third party, and has features of "unforgeable", "whole trace", "traceable", "public transparency", "collective maintenance", and the like.
S50: from each of the travel note templates, it is determined whether there is a travel note template having a matching score greater than a preset score.
In one embodiment, from each of the plurality of biography templates, it may be determined whether there is a biography template having a matching score greater than a preset score, specifically, the preset value may be 0.9 or 0.85, and the like, and it may be determined whether there is a biography template having a matching score greater than a preset score.
In an embodiment, taking the travel note template with the similarity matching score greater than the preset score corresponding to the sight picture as the target travel note template, the method may further include:
and selecting the top K-bit travel note template as a target travel note template from the travel note templates of the sight spot pictures with similarity matching scores larger than the preset score, so that the travel notes based on the travel note pictures are generated according to the target travel note template.
In one embodiment, the similarity scores may be further sorted, and the tour templates with the ranking topK are selected, for example, three tour templates with the ranking top3 are selected for the guest to select.
S60: and if the travel note template with the matching score larger than the preset score exists, taking the travel note template with the matching score larger than the preset score as a target travel note template.
Specifically, when the similarity matching score is greater than 0.9 or 0.85, that is, there is a travel note template whose matching score is greater than the preset score, the travel note template whose similarity matching score is greater than the preset score corresponding to the sight picture may be used as the target travel note template, so that the travel note based on the travel note picture is generated according to the target travel note template. It should be noted that the preset values are only used for example and are not limited.
S70: and generating the target travel notes according to the target travel note template and the travel note pictures.
After the target travel note template is obtained, the target travel note can be generated according to the target travel note template and the travel note picture of the user. In one scene, there may be a plurality of travel note templates of the sight spot pictures corresponding to the similarity matching scores greater than the preset score, and the generated target travel note template may be returned to the user for selection, so that the user may screen and select from the plurality of target travel note templates, or the target travel note template may be returned to the user for editing, so as to generate the target travel note edited by the user. In this embodiment, the user may combine the acquired target travel note template and the captured travel note picture to generate the target travel note of the user travel note picture. It will be appreciated that a personalized target note may be automatically generated based on the target note in conjunction with the note picture taken by the user.
In another embodiment, the target travel notes can be generated according to the target travel note template, that is, the target travel notes can be generated by combining the sight spot pictures.
In another embodiment, after the travel notes are generated, common APP interfaces can be accessed, so that the user can share the travel notes in real time through the APP interfaces, and the user experience is improved.
In the above embodiment, based on the steps S10-S70, the biographical template is generated by acquiring the sight pictures and labeling the sight pictures with sight names and corresponding sight knowledge (historical knowledge). When similarity matching is carried out on the travel note picture of the user and the sight spot picture in the travel note template to obtain the target travel note template, the target travel note template corresponding to the sight spot picture can be generated to realize automatic generation of the target travel note according to the target travel note template and the travel note picture, and it can be understood that the pictures shot in the photo album of the smart phone or the photographic equipment generally take time as an axis, the pictures are input according to the time sequence to obtain a travel route of a playing scene generated according to the pictures, namely the target travel note can be generated based on the playing sequence of the scene, so that the user can remember the playing scene according to the sequence of the input pictures, and user experience is improved. In addition, the travel note generation method can be applied to the fields of smart cities and the like, and it can be understood that the travel note generation method of the scheme can automatically generate the target travel note according to the picture input by the user, so that the user does not need to manually arrange the travel note to promote the construction of the smart city.
In one embodiment, after determining whether there is a travel note template with a matching score greater than a preset score, the method further includes and may further include:
s80: and if no travel note template with the matching score larger than the preset score exists, generating a matching result prompt, wherein the matching result prompt is used for guiding the user to input the picture of the associated scenic spot.
In an embodiment, if the similarity matching score is smaller than the preset score, that is, there is no travel note template whose matching score is larger than the preset score, a matching result prompt is generated, where the matching result prompt may be used to guide the user to input a picture of the associated scenery spot, so as to obtain the target travel note template again. For example, the preset score is, for example, 0.9 or 0.8, in an application scenario, when the similarity matching score is less than, for example, 0.8, that is, when there is no travel note template whose matching score is greater than the preset score, a matching result prompt may be generated, so as to remind the user that the current matching result is not ideal, the user may perform image input again, specifically, prompt the user to take a classic picture of a scenic spot, which may be, for example, a main entrance of the scenic spot, and after the user inputs an image of an associated scenic spot, the image re-input by the user may be subjected to similarity matching with the scenic spot image, so that the target travel note template may be obtained again, and a corresponding travel note may be generated according to the target travel note template.
S90: and when the pictures of the associated scenic spots input by the user are received, carrying out similarity matching on the travel note pictures and the pictures of the associated scenic spots.
S100: and if the similarity matching between the travel note picture and the picture of the associated scenic spot is determined to be larger than the preset score, generating a travel note template corresponding to the picture of the associated scenic spot.
S110: and taking the travel note template corresponding to the picture of the associated scenic spot as a target travel note template.
In the above steps S90-S110, when the pictures of the associated scenic spots input by the user are received, similarity matching is performed between the travel note pictures and the pictures of the associated scenic spots, if it is determined that the similarity matching between the travel note pictures and the pictures of the associated scenic spots is greater than the preset score, a travel note template corresponding to the pictures of the associated scenic spots is generated, the travel note template corresponding to the pictures of the associated scenic spots may be used as a target travel note template, specifically, the processes in the above steps S40-S60 may be referred to, and in order to avoid redundancy, descriptions are not expanded here.
In an embodiment, based on the complexity of the actual environment of each sight spot and the robustness of image similarity matching, if the user considers that the generated travel notes are not expected, the user may also actively select other images to perform similarity matching again to obtain the travel notes again. In addition, editable items can be reserved in the window of the output target travel note template, so that the user can adjust or modify according to the reserved window. In the embodiment, based on the obtained target travel note template, when the user is not satisfied with the content, the user can also perform real-time adjustment and modification according to the actual situation without reselecting the picture for generation, so that the time for generating the travel note by the user can be saved.
It should be noted that, in addition to the sight spot information directly obtained based on the sight spot of the scenic area, the sight spot information in the above embodiment may also include other information obtained by using sight spot pictures or sight spot names, which is not limited, for example, in an embodiment, the corresponding sight spot information is obtained according to the sight spot name, and the sight spot information is correspondingly matched for the sight spot picture, so as to generate a travel note template of different sight spot pictures, specifically, as shown in fig. 2, the method may further include steps S31A-S34A:
S31A: generating a travel note basic template according to the sight spot picture; the travel memory basic template comprises a first area and a second area, wherein the first area is positioned in the scene picture, and the second area is positioned outside the scene picture.
In an embodiment, the travel note base template may be generated according to the scenery spot picture, and may be a template designed in advance, specifically, the size, the area layout, the block diagram setting, or the like of the template may be set in advance, and the travel note base template may be generated according to the scenery spot picture, so that a corresponding area may be formed according to the scenery spot picture, specifically, the travel note base template includes a first area and a second area, where the first area may be located inside the scenery spot picture, the second area may be located outside the scenery spot picture, or the first area may be located outside the scenery picture, or the second area may be located inside the scenery picture, and this is not limited.
S32A: and based on the scenery spot picture, obtaining the shape characteristic information of the scenery spot picture through an image processing algorithm.
In one embodiment, based on the acquired sight picture, when attention needs to be focused on the external attribute of the sight picture, the shape feature information of the sight picture can be acquired. Specifically, the shape feature information of the sight spot picture can be acquired through an image processing algorithm, which can be understood as an algorithm that a computer is used for processing, analyzing and understanding an image to identify the shape feature information of an entity in different sight spot pictures, specifically, a deep learning neural network model algorithm can be used for identifying the sight spot of the acquired sight spot picture, the shape feature information of the sight spot picture can be identified through the deep learning neural network model algorithm, and a corresponding keyword is acquired according to the image shape feature information, for example, if the currently acquired sight spot picture mainly includes a door, the shape feature information of the door in the sight spot picture can be identified through the image processing algorithm; or the currently acquired sight spot picture comprises the tripod, the shape feature information of the tripod in the sight spot picture can be identified through an image processing algorithm.
S33A: and inputting the shape feature information into a preset couplet generation model to obtain the target couplet based on the shape feature information.
Based on the shape feature information of different sight spot pictures in the target travel note template, in one embodiment, the shape feature information of a door or a tripod in the sight spot picture can be input to a preset couplet generation model as a keyword to obtain a corresponding target couplet, and it can be understood that the preset couplet generation model has trained a large number of databases, and different couplet characters can be obtained according to the input keyword. For example, when the shape feature information is obtained as a tripod, the tripod is input into a preset couplet generation model, and a target couplet such as "nine sheep enlightening peace flying boat goes through the school sea, and the tripod force jade becomes the blue cloud of the Pimenta steps" may be output, and it should be noted that the target couplet output here is only for example and is not meant to be limiting.
S34A: and correspondingly inserting the target couplet into the first area or the second area to generate a travel note template corresponding to the sight spot picture.
In an embodiment, when a couplet corresponding to the scenery spot picture shape feature information is obtained, a travel note template corresponding to the scenery spot picture may be generated, specifically, the target couplet may be inserted into a first area inside the scenery spot picture or a second area outside the scenery spot picture, and the operation may be performed according to an actual situation, where the operation is not limited, then the travel note template corresponding to the scenery spot picture may be generated. In this embodiment, it can be understood that, by performing feature recognition on the scenery spot picture, a keyword based on shape feature information in the scenery spot picture can be acquired, the keyword is input to a preset couplet generation model, a corresponding target couplet can be matched for the picture, and when the target couplet is inserted into a first region or a second region, a travel note template corresponding to the scenery spot picture is generated, so that the content of the travel note template is more added with artistic conception and connotation, and through a preset basic template, the travel note template can be more beautiful and tidy.
The preset couplet generation model may be generated by a couplet generation system developed through the internet or a couplet generation application of an open source sdk (software Development kit) software tool Development kit based on the acquired shape feature information, and is not limited herein.
In an embodiment, the method obtains corresponding sight information according to the sight name, and correspondingly matches the sight information for the sight picture to generate a travel note template of different sight pictures, and specifically, as shown in fig. 3, the method may further include steps S31B-S34B:
S31B: generating a travel note basic template according to the sight spot picture; the travel memory basic template comprises a first area and a second area, wherein the first area is positioned in the scene picture, and the second area is positioned outside the scene picture.
In this step, a travel note basic template is generated according to the sight spot picture, and the description of step S31A may be specifically referred to, so that no explanation is provided here to avoid redundancy.
S32B: and obtaining hue information based on the scenery spot picture through an image processing algorithm based on the scenery spot picture.
In one embodiment, when attention needs to be focused on the region attribute of the picture, tone information of sight pictures based on the target biographical template can be acquired. Specifically, the hue information based on the sight spot picture may be obtained through an image processing algorithm technology, for example, when the sight spot picture based on the obtained target travel note template is a magic animal of marble or granite in the sight spot picture, the hue information of the gray of the sight spot picture may be obtained through picture processing, or when the sight spot picture is a fresh flower, the hue information of red or pink may be obtained through an image processing algorithm, and different subjects may be defined according to different hue information, for example, light hue information, dark hue information, bright hue information, dark hue information, and the like may be generated from different hue information, and positive, sunlight, bright or dark styles, and the like may be defined according to the hue information of different styles.
S33B: and inputting the tone information into a preset poetry generating model to obtain the target poetry with the tone information.
Based on obtaining tone information of different sight spot pictures, in an embodiment, styles corresponding to different tone information can be input into a preset poem generation model to obtain different target poems, and it can be understood that a large number of databases have been trained by the preset poem generation model here, different target poems can be obtained according to the input tone information styles.
S34B: and correspondingly inserting the target poem into the first area or the second area to generate a travel note template corresponding to the sight spot picture.
After acquiring the poetry corresponding to the tone information of the scenery spot picture, in the embodiment, the tone information based on the scenery spot picture can be acquired through an image processing algorithm, the style defined according to the tone information is input into a preset poetry generating model, the target poetry based on the scenery spot picture is acquired, the target poetry can be correspondingly inserted into a first area or a second area to generate a travel memory template corresponding to the scenery spot picture, so that the travel memory template is more beautiful and poetry, and the travel memory template can be more attractive and tidy through the travel memory basic template.
It should be noted that the preset poetry generation model described above may also be used for generating poetry through a poetry generation system developed through the internet or through a poetry generation application such as an open source sdk (software Development kit) software tool Development kit based on the style of hue information, and is not limited herein.
In an embodiment, the method obtains corresponding sight information according to the sight name, and correspondingly matches the sight information for the sight picture to generate a travel note template of different sight pictures, and specifically, as shown in fig. 4, the method may further include steps S31C-S34C:
S31C: generating a travel note basic template according to the sight spot picture; the travel memory basic template comprises a first area and a second area, wherein the first area is positioned in the scene picture, and the second area is positioned outside the scene picture.
In this step, a travel note basic template is generated according to the sight spot picture, and the description of step S31A may be specifically referred to, so that no explanation is provided here to avoid redundancy.
S32C: and acquiring weather information corresponding to the scenery spot picture based on the scenery spot picture.
In an embodiment, the weather information corresponding to the scene-point picture is obtained, for example, when the picture is collected at a scene of the scene-point, the weather information can be obtained through a weather information application of a smart phone, or the weather information can be obtained based on a weather information forecast displayed at the scene-point, or the weather information in the picture can be identified through an image identification technology, so that the weather information based on the scene-point picture can be obtained in a clear day, the keyword can be obtained in a clear day, or the weather information based on the scene-point picture can be obtained in a snowy day, and the keyword can be obtained in a snowy day.
S33C: and inputting the weather information into a preset golden sentence soft text generation model to obtain a target golden sentence soft text of the weather information.
Based on the weather information in the obtained scenery spot picture, the weather information can be input into a preset golden sentence soft text model to generate a target golden sentence soft text based on the specific weather information, and it can be understood that the golden sentence soft text model can be a large number of classical golden sentences, classical advertisement words or soft texts which are pre-trained, and then the corresponding target golden sentences or target soft texts can be input by inputting corresponding keywords.
S34C: and correspondingly inserting the target golden sentence soft text into the first area or the second area to generate the travel note template corresponding to the sight spot picture.
In one embodiment, after the target golden sentence soft text corresponding to the weather information is acquired, the target golden sentence soft text can be correspondingly inserted into the first area or the second area to generate the travel note template corresponding to the sight spot picture. In the embodiment, the generated travel note template can have lasting appeal and freshness, and the travel note template can be more attractive and tidy through the travel note basic template.
It should be noted that the preset couplet generation model, the preset poetry generation model and the preset golden sentence soft text generation model corresponding to the above steps S31A-S34A, S31B-S34B and S31C-S34C are only for example and are not limited. It can be understood that, in the above embodiment, the travel notes template is generated by matching the corresponding historical knowledge for the sight spot pictures, and the travel notes template generated can be enriched by matching the sight spot pictures in the travel notes template with, for example, couplets, poetry, or clause soft texts according to different types of character generation models, so that the generated travel notes have more cultural connotations, and the readability of the travel notes is increased.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In one embodiment, a travel note generating device is provided, and the implementation functions correspond to the steps corresponding to the travel note generating method in the above embodiment one to one. Specifically, as shown in fig. 5, the travel note generating apparatus includes an obtaining module 10, a labeling module 20, a matching module 30, a matching score obtaining module 40, a similarity matching module 50, a target template generating module 60, and a travel note generating module 70. The functional modules are explained in detail as follows:
the acquisition module 10 is used for acquiring scenic spot pictures of scenic spots;
the marking module 20 is configured to determine a sight spot name of the sight spot picture, and mark the sight spot name for the sight spot picture;
the matching module 30 is configured to obtain corresponding sight spot information according to the sight spot name, and correspondingly match the sight spot information for the sight spot picture to generate travel note templates corresponding to different sight spot pictures;
the matching score acquisition module 40 is configured to acquire a travel note picture input by a user and used for generating a travel note, and perform similarity matching on the travel note picture and a sight spot picture in a travel note template to acquire a matching score of each travel note template;
a travel note template determination module 50, configured to determine whether there is a travel note template with a matching score greater than a preset score from each travel note template;
the target template generating module 60 is configured to, if there is a travel note template whose matching score is greater than the preset score, take the travel note template whose matching score is greater than the preset score as a target travel note template;
and a travel note generating module 70 for generating a target travel note according to the target travel note template and the travel note picture.
Preferably, the travel note template determination module 50 is further configured to:
if no travel note template with the matching score larger than the preset score exists, generating a matching result prompt, wherein the matching result prompt is used for guiding a user to input a picture of the associated scenic spot;
when receiving the pictures of the associated scenic spots input by the user, carrying out similarity matching on the travel note pictures and the pictures of the associated scenic spots;
if the similarity matching between the travel note picture and the pictures of the associated scenic spots is determined to be larger than the preset score, generating a travel note template corresponding to the pictures of the associated scenic spots;
and taking the travel note template corresponding to the picture of the associated scenic spot as a target travel note template.
In one embodiment, the travel note template determination module 50 is further configured to:
generating a travel note basic template according to the sight spot picture; the travel note basic template comprises a first area and a second area, wherein the first area is positioned in the scene picture, and the second area is positioned outside the scene picture;
based on the scenic spot picture, obtaining shape feature information of the scenic spot picture through an image processing algorithm;
inputting the shape feature information into a preset couplet generation model to obtain a target couplet of the shape feature information;
and correspondingly inserting the target couplet into the first area or the second area to generate a travel note template corresponding to the sight spot picture.
In one embodiment, the travel note template determination module 50 is further configured to:
generating a travel note basic template according to the sight spot picture; the travel note basic template comprises a first area and a second area, wherein the first area is positioned in the scene picture, and the second area is positioned outside the scene picture;
based on the scenery spot picture, obtaining hue information of the scenery spot picture through an image processing algorithm;
inputting the tone information into a preset poetry generating model to obtain target poetry of the tone information;
and correspondingly inserting the target poem into the first area or the second area to generate a travel note template corresponding to the sight spot picture.
In one embodiment, the travel note template determination module 50 is further configured to:
generating a travel note basic template according to the sight spot picture; the travel note basic template comprises a first area and a second area, wherein the first area is positioned in the scene picture, and the second area is positioned outside the scene picture;
acquiring weather information corresponding to the scenic spot pictures based on the scenic spot pictures;
inputting weather information into a preset golden sentence soft text generation model to obtain a target golden sentence soft text of the weather information;
and correspondingly inserting the target golden sentence soft text into the first area or the second area to generate the travel note template corresponding to the sight spot picture.
For specific limitations of the vernier generating device, reference may be made to the above limitations of the vernier generating method, which are not described herein again. The modules in the aforementioned travel note generating device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In an embodiment, a computer-readable storage medium is provided, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method or the step for generating the journal of the foregoing embodiment is implemented, and in order to avoid repetition, details are not described here again. Alternatively, when being executed by a processor, the computer program implements the functions of the modules in the apparatus for generating a shorthand note in the foregoing embodiments, and is not described here again to avoid repetition. It is to be understood that the computer-readable storage medium may include: any entity or device capable of carrying said computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, etc.
In one embodiment, as shown in FIG. 6, a computer device is provided. Specifically, the computer device 60 of this embodiment includes: a processor 61, a memory 62 and a computer program 63 stored in the memory 62 and executable on the processor 61. The processor 61 implements the method or steps for generating the journal in the above embodiments when executing the computer program 63, and details are not described herein for avoiding repetition. Alternatively, when the processor 61 executes the computer program 63, the functions of the modules in the travel record generation apparatus according to the above embodiment are implemented, and are not described herein again to avoid redundancy.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of 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), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing functional units and modules are merely illustrated as being divided, and in practical applications, the foregoing functional allocation may be performed by different functional modules, sub-modules and units according to needs, that is, the internal structure of the device is divided into different functional units or modules to perform all or part of the above-described functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (10)

1. A method for generating a travel note, the method comprising:
obtaining sight spot pictures of a sight spot;
determining the sight spot name of the sight spot picture, and labeling the sight spot name for the sight spot picture;
acquiring corresponding sight spot information according to the sight spot names, and correspondingly matching the sight spot information for the sight spot pictures to generate travel note templates corresponding to different sight spot pictures;
acquiring a travel note picture input by a user and used for generating travel notes, and performing similarity matching on the travel note picture and sight spot pictures in the travel note templates to acquire a matching score of each travel note template;
determining whether there is a travel note template with the matching score larger than a preset score from each travel note template;
if the travel note template with the matching score larger than the preset score exists, taking the travel note template with the matching score larger than the preset score as a target travel note template;
and generating the target travel notes according to the target travel note template and the travel note pictures.
2. The method of generation of a biographical note of claim 1, wherein after determining whether there are biographical templates for which the match score is greater than a preset score, the method further comprises:
if the travel note template with the matching score larger than the preset score does not exist, generating a matching result prompt, wherein the matching result prompt is used for guiding a user to input pictures of the associated scenic spots;
when the pictures of the associated scenic spots input by the user are received, carrying out similarity matching on the tourist pictures and the pictures of the associated scenic spots;
if the similarity matching between the travel note picture and the pictures of the associated scenic spots is determined to be larger than the preset score, generating a travel note template corresponding to the pictures of the associated scenic spots;
and taking the travel note template corresponding to the picture of the associated scenic spot as the target travel note template.
3. The travel note generation method of claim 1 or 2, wherein the obtaining of the corresponding sight information according to the sight name and the matching of the sight information for the sight picture to generate the travel note template corresponding to different sight pictures comprises:
generating a travel note basic template according to the sight spot picture; the travel note basic template comprises a first area and a second area, wherein the first area is positioned in the sight spot picture, and the second area is positioned outside the sight spot picture;
based on the scenery spot picture, obtaining shape feature information of the scenery spot picture through an image processing algorithm;
inputting the shape feature information into a preset couplet generation model to obtain a target couplet of the shape feature information;
and correspondingly inserting the target couplet into the first area or the second area to generate a travel note template corresponding to the sight spot picture.
4. The travel note generation method of claim 1 or 2, wherein the obtaining of the corresponding sight information according to the sight name and the corresponding matching of the sight information for the sight picture to generate the travel note template of different sight pictures comprises:
generating a travel note basic template according to the sight spot picture; the travel note basic template comprises a first area and a second area, wherein the first area is positioned in the sight spot picture, and the second area is positioned outside the sight spot picture;
based on the scenery spot picture, obtaining hue information of the scenery spot picture through an image processing algorithm;
inputting the tone information into a preset poetry generating model to obtain target poetry of the tone information;
and correspondingly inserting the target poem into the first area or the second area to generate a travel note template corresponding to the sight spot picture.
5. The travel note generation method of claim 1 or 2, wherein the obtaining of the corresponding sight information according to the sight name and the corresponding matching of the sight information for the sight picture to generate the travel note template of different sight pictures comprises:
generating a travel note basic template according to the sight spot picture; the travel note basic template comprises a first area and a second area, wherein the first area is positioned in the sight spot picture, and the second area is positioned outside the sight spot picture;
acquiring weather information corresponding to the scenery spot picture based on the scenery spot picture;
inputting the weather information into a preset golden sentence soft text generation model to obtain a target golden sentence soft text of the weather information;
and correspondingly inserting the target golden sentence soft text into the first area or the second area to generate a travel note template corresponding to the sight spot picture.
6. The travel note generating method of claim 1, wherein the taking the travel note template with the similarity matching score larger than a preset score and corresponding to the sight picture as a target travel note template comprises:
and selecting a top K-bit travel note template as a target travel note template from the travel note templates of the sight spot pictures corresponding to the similarity matching scores larger than the preset score, so that the travel notes based on the travel note pictures are generated according to the target travel note template.
7. A travel note generation apparatus, characterized in that the apparatus comprises:
the acquisition module is used for acquiring the scenic spot pictures of the scenic spot;
the marking module is used for determining the sight spot name of the sight spot picture and marking the sight spot name for the sight spot picture;
the matching module is used for acquiring corresponding sight spot information according to the sight spot names and correspondingly matching the sight spot information for the sight spot pictures so as to generate travel note templates corresponding to different sight spot pictures;
the matching score acquisition module is used for acquiring a travel note picture which is input by a user and used for generating travel notes, and performing similarity matching on the travel note picture and sight spot pictures in the travel note templates to acquire a matching score of each travel note template;
the travel note template determining module is used for determining whether a travel note template with the matching score larger than a preset score exists in each travel note template;
the target template generation module is used for taking the travel note template with the matching score larger than the preset score as a target travel note template if the travel note template with the matching score larger than the preset score exists;
and the travel note generating module is used for generating a target travel note according to the target travel note template and the travel note picture.
8. The travel note generation apparatus of claim 7, wherein the travel note template determination module is further to:
if the travel note template with the matching score larger than the preset score does not exist, generating a matching result prompt, wherein the matching result prompt is used for guiding a user to input pictures of the associated scenic spots;
when the pictures of the associated scenic spots input by the user are received, carrying out similarity matching on the tourist pictures and the pictures of the associated scenic spots;
if the similarity matching between the travel note picture and the pictures of the associated scenic spots is determined to be larger than the preset score, generating a travel note template corresponding to the pictures of the associated scenic spots;
and taking the travel note template corresponding to the picture of the associated scenic spot as the target travel note template.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the biographical generation method of any one of claims 1-6 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out a method of generating a biographical note according to any one of claims 1 to 6.
CN202010921684.4A 2020-09-04 2020-09-04 Method and device for generating biography, computer equipment and readable storage medium Active CN112069347B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010921684.4A CN112069347B (en) 2020-09-04 2020-09-04 Method and device for generating biography, computer equipment and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010921684.4A CN112069347B (en) 2020-09-04 2020-09-04 Method and device for generating biography, computer equipment and readable storage medium

Publications (2)

Publication Number Publication Date
CN112069347A true CN112069347A (en) 2020-12-11
CN112069347B CN112069347B (en) 2024-05-24

Family

ID=73666441

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010921684.4A Active CN112069347B (en) 2020-09-04 2020-09-04 Method and device for generating biography, computer equipment and readable storage medium

Country Status (1)

Country Link
CN (1) CN112069347B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112714056A (en) * 2020-12-18 2021-04-27 深圳市亚联讯网络科技有限公司 Real-time property communication method and real-time property communication system
CN113807055A (en) * 2021-09-22 2021-12-17 北京百度网讯科技有限公司 Method and apparatus for editing information
CN113807055B (en) * 2021-09-22 2024-06-04 北京百度网讯科技有限公司 Method and apparatus for editing information

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006185058A (en) * 2004-12-27 2006-07-13 Noritsu Koki Co Ltd Image processor
KR20140060628A (en) * 2012-11-12 2014-05-21 (주)섬엔지니어링 Handheld device for generating travel diary
CN104331515A (en) * 2014-11-27 2015-02-04 惠州Tcl移动通信有限公司 Method and system for generating travel journal automatically
CN106933789A (en) * 2015-12-30 2017-07-07 阿里巴巴集团控股有限公司 Tourism strategy generation method and generation system
CN110032352A (en) * 2019-03-18 2019-07-19 阿里巴巴集团控股有限公司 A kind of displaying content generating method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006185058A (en) * 2004-12-27 2006-07-13 Noritsu Koki Co Ltd Image processor
KR20140060628A (en) * 2012-11-12 2014-05-21 (주)섬엔지니어링 Handheld device for generating travel diary
CN104331515A (en) * 2014-11-27 2015-02-04 惠州Tcl移动通信有限公司 Method and system for generating travel journal automatically
CN106933789A (en) * 2015-12-30 2017-07-07 阿里巴巴集团控股有限公司 Tourism strategy generation method and generation system
CN110032352A (en) * 2019-03-18 2019-07-19 阿里巴巴集团控股有限公司 A kind of displaying content generating method and device

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112714056A (en) * 2020-12-18 2021-04-27 深圳市亚联讯网络科技有限公司 Real-time property communication method and real-time property communication system
CN113807055A (en) * 2021-09-22 2021-12-17 北京百度网讯科技有限公司 Method and apparatus for editing information
CN113807055B (en) * 2021-09-22 2024-06-04 北京百度网讯科技有限公司 Method and apparatus for editing information

Also Published As

Publication number Publication date
CN112069347B (en) 2024-05-24

Similar Documents

Publication Publication Date Title
CN109960453B (en) Removing and replacing objects in images according to guided user sessions
CN110414519B (en) Picture character recognition method and device and storage medium
Lucas et al. Research methods for architecture
CN105808782B (en) A kind of adding method and device of picture tag
RU2408067C2 (en) Metadata identification
CN109688463A (en) A kind of editing video generation method, device, terminal device and storage medium
CN104794171B (en) Mark the method and device of picture geographical location information
US20120196260A1 (en) Electronic Comic (E-Comic) Metadata Processing
CN109241305A (en) It is a kind of that this reading method and device are drawn based on image recognition
KR102490319B1 (en) Methods for automatic generation and transformation of artificial intelligence content
CN105654532A (en) Photo photographing and processing method and system
CN108681393A (en) Translation display methods, device, computing device and medium based on augmented reality
JP2020106910A (en) Animation generation system and animation generation method
CN108805519A (en) Papery schedule electronization generation method, device and electronic agenda table generating method
CN114638232A (en) Method and device for converting text into video, electronic equipment and storage medium
US20150146040A1 (en) Imaging device
CN112069347A (en) Travel note generation method and device, computer equipment and readable storage medium
Alshawaf iphoneography as visual literacy: How image-making practices on social media encourage creative growth
KR102313203B1 (en) Artificial intelligence content creation system and method
Frosh Photography as a Cultural Industry: A Historical-Theoretical Overview
JP6975281B2 (en) Image editing method using artificial intelligence model and its device
CN104504104A (en) Picture material processing method and device for search engine, and search engine
CN111930976A (en) Presentation generation method, device, equipment and storage medium
CN113961699B (en) Big data-based tourism resource investigation method and system
JP2010028486A (en) Imaging apparatus and control method thereof

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