WO2023030553A2 - Procédé et appareil de stockage d'image d'autoroute distribuée, et procédé et appareil de recherche d'image d'autoroute distribuée - Google Patents
Procédé et appareil de stockage d'image d'autoroute distribuée, et procédé et appareil de recherche d'image d'autoroute distribuée Download PDFInfo
- Publication number
- WO2023030553A2 WO2023030553A2 PCT/CN2022/131010 CN2022131010W WO2023030553A2 WO 2023030553 A2 WO2023030553 A2 WO 2023030553A2 CN 2022131010 W CN2022131010 W CN 2022131010W WO 2023030553 A2 WO2023030553 A2 WO 2023030553A2
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- road image
- hash value
- character string
- road
- image
- Prior art date
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/51—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/5866—Retrieval 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
Definitions
- the invention relates to the field of computer technology, in particular to a distributed storage method, search method and device for road images.
- the system needs to support users in the GIS system to conveniently perform functions such as network-wide display, designated display, and comparison display of road image information and road surface information in the GIS system, and supports users to conveniently click GIS A specific point in the system to query the front image and historical image corresponding to the position.
- the current storage and search methods are all performed in a character string matching manner, resulting in a decrease in storage and search efficiency.
- the object of the present invention is to provide a road image distributed storage method, search method and device, which are used to solve the defect of storage and search efficiency reduction in the prior art, and improve storage and search efficiency.
- the present invention provides the following scheme:
- the present invention provides a method for distributed storage of road images, including:
- the first character string is used to characterize the content to be stored of the road image
- the mapping hash value is used as a distributed index of the first character string, and the mapping hash value and the first character string are stored.
- the content to be stored of the road image includes at least one of the following:
- the starting position information of the road image
- the terminal location information of the road image is the terminal location information of the road image
- Lane information of the road image is Lane information of the road image.
- the road image includes at least one of the following:
- the first character string is a character string of variable length.
- the present invention provides a distributed search method for road images, including:
- the first character string is used to characterize the stored content of the road image to be searched;
- the road image to be searched is acquired.
- the searching for the road image based on the mapping hash value includes:
- the road image to be searched is obtained from all road images corresponding to the mapping hash value.
- the stored content of the road image to be searched includes at least one of the following:
- the starting position information of the road image
- the terminal location information of the road image is the terminal location information of the road image
- Lane information of the road image is Lane information of the road image.
- the road image includes at least one of the following:
- the first character string is a character string of variable length.
- the present invention provides a road image distributed storage device, including:
- the first acquisition module is configured to acquire a first character string corresponding to the road image to be stored, and the first character string is used to characterize the content to be stored of the road image;
- a first determining module configured to determine a first hash value corresponding to the first character string
- a second determining module configured to determine a mapping hash value of the first hash value mapping
- a storage module configured to use the mapping hash value as a distributed index of the first character string, and store the mapping hash value and the first character string.
- the present invention provides a road image distributed search device, including:
- the second acquisition module is configured to acquire a first character string corresponding to the road image to be searched, and the first character string is used to characterize the stored content of the road image to be searched;
- a third determining module configured to determine a first hash value corresponding to the first character string
- a fourth determining module configured to determine a mapping hash value of the first hash value mapping
- a third obtaining module configured to obtain the road image to be searched based on the mapping hash value.
- the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, when the processor executes the program, the computer program described in the first aspect is implemented.
- an electronic device including a memory, a processor, and a computer program stored in the memory and operable on the processor, when the processor executes the program, the computer program described in the first aspect is implemented.
- the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the road image distributed storage method as described in the first aspect is implemented, or the A distributed search method for road images as described in the second aspect.
- the present invention also provides a computer program product, including a computer program.
- the computer program When the computer program is executed by a processor, it realizes the road image distributed storage method as described in the first aspect, or realizes the road image distributed search as described in the second aspect. method.
- the road image distributed storage method, search method and device provided by the present invention can ensure that a large number of road images are distributed evenly Storage, which in turn can prevent the image retrieval efficiency from decreasing due to unbalanced data storage, and effectively improve the efficiency of storage and search.
- Fig. 1 is a schematic flow chart of a road image distributed storage method provided by the present invention
- Fig. 2 is a schematic flow chart of the road image distributed search method provided by the present invention.
- Fig. 3 is one of schematic diagrams of searching road images
- Fig. 4 is the second schematic diagram of searching road images
- Fig. 5 is a schematic structural diagram of a road image distributed storage device provided by the present invention.
- Fig. 6 is a schematic structural diagram of a road image distributed search device provided by the present invention.
- Fig. 7 is a schematic structural diagram of an electronic device provided by the present invention.
- Fig. 1 is a schematic flow chart of the road image distributed storage method provided by the present invention, as shown in Fig. 1, the method includes the following steps:
- step 100 a first character string corresponding to the road image to be stored is obtained, and the first character string is used to characterize the content to be stored of the road image.
- Step 110 determining a first hash value corresponding to the first character string.
- Step 120 determine the mapping hash value of the first hash value mapping.
- Step 130 using the mapping hash value as a distributed index of the first character string, and storing the mapping hash value and the first character string.
- the road maintenance department can establish a business-related geographic information system (GIS system) to comprehensively display the historical state data of road objects under its jurisdiction .
- GIS system geographic information system
- users can upload the collected high-definition image photos of the road surface and front to the file system of the server where the GIS system is deployed, and store the image path information into the database system of the GIS platform.
- the amount of historical image data stored in the GIS system will increase significantly, which will lead to a rapid decline in image storage efficiency and even affect the user experience of the system.
- the invention provides a road image distributed storage method based on a character string value Hash algorithm to realize distributed storage of road image historical data.
- determining the first hash value corresponding to the first character string may be implemented by the following algorithm:
- mapping hash value of the first hash value mapping may be implemented by the following algorithm:
- Mapping hash value first hash value %N, where N is the number of distributed data storage units, usually determined by the overall design scheme of the existing data storage system.
- mapping hash value may be used as an index of the first string and saved together with the first string;
- the first character string of a road image (that is, the road image) only corresponds to one mapping hash value; one mapping hash value corresponds to multiple road images, but the number of road images corresponding to each mapping hash value is relatively small.
- each mapping hash value corresponds to a very small number of road images, and the number of road images corresponding to different mapping hash values is relatively uniform, that is, the distributed storage of a large number of road images is realized.
- the hash algorithm that specifically implements the above steps can be exemplified as follows, based on the output of the algorithm, the distributed storage of the collected road surface images and the front image can be realized, and the images can be evenly stored in each In storage unit:
- the road image distributed storage method provided by the present invention by performing Hash calculation based on the first character string corresponding to the road image to be stored, and obtaining the corresponding mapped hash value, can ensure a large number of road images are stored in a balanced distributed manner, thereby preventing The efficiency of image retrieval due to unbalanced data storage is reduced, and the efficiency of storage and search is effectively improved.
- the content to be stored of the road image includes at least one of the following:
- the road image is usually named with a first character string including road name, data collection year, uplink and downlink directions, starting point location information, and end point location information.
- the content to be stored of the road image can be reflected by the first character string corresponding to the road image, which can be called the name of the road image, and can specifically reflect any one or more of the following:
- this method can be applied to various types of image naming strategies, and has good applicability, for example, it is applicable to the naming method of stake number information, and can also be applied to the naming method of encoder pulse number, which is not limited in the present invention;
- the naming method can be expressed as CFCS01A-001+328000-001+324000-2022, where the meanings of each field are as follows:
- A indicates the uplink and downlink information of the highway, if it is “A”, it means uplink (increasing direction of stake number), if it is “B”, it means downlink (increasing direction of stake number).
- the road image may also reflect information about road maintenance such as disease information of the road, and the user may obtain relevant information of the road through the display of the road image for road detection.
- road maintenance such as disease information of the road
- the present invention can use the proposed Hash algorithm based on the character string value to calculate a hash value for the character string, and store the image in the corresponding memory unit according to the hash value result, so as to realize the distribution of the image format storage.
- the road image includes at least one of the following: a road surface image of the road; a front image of the road.
- the present invention analyzes the first character string (such as the name) and/or The first string (such as the name) of the image ahead of the road.
- the present invention realizes convenient and fast storage of road surface images and forward images based on the hash method of string values, and can be comprehensively displayed in the GIS system after the user searches.
- the first character string is a character string of variable length.
- the road route name is usually a character string of variable length
- the first character string of the stored road image is also a character string of variable length.
- the hash algorithm-based storage method provided by the present invention is suitable for strings of variable length, and avoids the defect of low efficiency caused by string matching storage of strings of variable length.
- the road image distributed storage method provided by the present invention by performing Hash calculation based on the first character string corresponding to the road image to be stored, and obtaining the corresponding mapped hash value, can ensure a large number of road images are stored in a balanced distributed manner, thereby preventing The efficiency of image retrieval due to unbalanced data storage is reduced, and the efficiency of storage and search is effectively improved.
- Fig. 2 is a schematic flow chart of the road image distributed search method provided by the present invention, as shown in Fig. 2, the method includes the following steps:
- step 200 a first character string corresponding to the road image to be searched is obtained, and the first character string is used to characterize the stored content of the road image to be searched.
- Step 210 determine a first hash value corresponding to the first character string.
- Step 220 determine the mapping hash value of the first hash value mapping.
- Step 230 Obtain the road image to be searched based on the mapping hash value.
- the road maintenance department can establish a business-related geographic information system (GIS system) to comprehensively display the historical state data of road objects under its jurisdiction .
- GIS system geographic information system
- users can upload the collected high-definition image photos of the road surface and front to the server file system where the GIS system is deployed, and store the image path information in the GIS platform database system.
- Users can search for images through the GIS system. Complete the search.
- the invention provides a road image distributed search method based on a character string value Hash algorithm, and realizes the distributed search of road image historical data.
- determining the first hash value corresponding to the first character string may be implemented by the following algorithm:
- mapping hash value of the first hash value mapping may be implemented by the following algorithm:
- Mapping hash value first hash value %N, where N is the number of distributed data storage units, usually determined by the overall design scheme of the existing data storage system.
- the mapping hash value may be used as an index of the first string and stored together with the first string.
- the first character string of a road image (that is, the road image) only corresponds to one mapping hash value; one mapping hash value corresponds to multiple road images, but the number of road images corresponding to each mapping hash value is relatively small. Few; in the scene of a large number of road images, each mapping hash value corresponds to a very small number of road images, and the number of road images corresponding to different mapping hash values is relatively uniform.
- searching the first string corresponding to After the mapping hash value, the number of character strings corresponding to the mapping hash value is small, and the road image to be searched can be searched very quickly and conveniently, that is, the distributed search of a large number of road images can be realized.
- the road image distributed search method provided by the present invention by performing Hash calculation based on the first character string corresponding to the road image to be stored, and obtaining the corresponding mapping hash value, can ensure a large number of road images are stored in a balanced distributed manner, thereby preventing Image retrieval efficiency decreases due to unbalanced data storage, effectively improving search efficiency.
- the searching the road image based on the mapping hash value includes:
- mapping hash value corresponding to the first character string after determining the mapping hash value corresponding to the first character string, all road images corresponding to the mapping hash value can be determined, and then the string corresponding to the first character string and the mapping hash value can be combined into a string match, and obtain the road image to be searched.
- the number of road images corresponding to each mapped hash value is small, the number of character string matching is small when searching for the first character string, which further improves the efficiency and difficulty of searching.
- the stored content of the road image to be searched includes at least one of the following:
- the road image is usually named with a first character string including road name, data collection year, uplink and downlink directions, starting point location information, and end point location information.
- the content to be stored of the road image can be reflected by the first character string corresponding to the road image, which can be called the name of the road image, and can specifically reflect any one or more of the following:
- this method can be applied to various types of image naming strategies, and has good applicability, for example, it is applicable to the naming method of stake number information, and can also be applied to the naming method of encoder pulse number, which is not limited in the present invention;
- the naming method can be expressed as CFCS01A-001+328000-001+324000-2022, where the meanings of each field are as follows:
- A indicates the uplink and downlink information of the highway, if it is “A”, it means uplink (increasing direction of stake number), if it is “B”, it means downlink (increasing direction of stake number).
- the road image may also reflect information about road maintenance such as disease information of the road, and the user may obtain relevant information of the road through the display of the road image for road detection.
- road maintenance such as disease information of the road
- Fig. 3 is one of the schematic diagrams of searching for road images
- Fig. 4 is the second diagram of searching for road images
- information such as the name or year of the road image to be searched can be input (The information can be represented by the first character string); then the system can obtain the first character string of the road image to be searched, and then obtain the first hash value corresponding to the first character string, and map to obtain the first hash value
- the corresponding mapping hash value that is, all road images corresponding to the mapping hash value can be determined, and finally the road image that the user needs to search is determined and displayed by string matching.
- the present invention can use the proposed Hash algorithm based on the character string value to calculate a hash value for the character string, and search according to the result of the hash value, so as to realize the distributed search of the image.
- the road image includes at least one of the following: a road surface image of the road; a front image of the road.
- the present invention uses a method for distributed storage of road images based on a string value Hash algorithm, based on a string value Hash algorithm to analyze the first character string (such as a name) of the road surface image containing the road and/or the image in front of the road.
- the first string (such as a name).
- the present invention realizes convenient and quick query of road surface images and forward images based on string numerical hash method, and can be comprehensively displayed in the GIS system.
- the first character string is a character string of variable length.
- the hash algorithm-based search method provided by the present invention is applicable to strings of variable length, and avoids the defect of low efficiency caused by string matching and storage of strings of variable length.
- the road image distributed search method by performing Hash calculation based on the first character string corresponding to the road image to be stored, and obtaining the corresponding mapped hash value, a large number of road images can be guaranteed to be stored in a balanced manner. , which in turn can prevent the image retrieval efficiency from decreasing due to unbalanced data storage, and effectively improve the efficiency of storage and search.
- the road image distributed storage device provided by the present invention is described below, and the road image distributed storage device described below and the road image distributed storage method described above can be referred to in correspondence.
- FIG. 5 is a schematic structural diagram of a road image distributed storage device provided by the present invention.
- the device 500 includes: a first acquisition module 510, a first determination module 520, a second determination module 530, and a storage module 540 . in:
- the first acquiring module 510 is configured to acquire a first character string corresponding to the road image to be stored, and the first character string is used to characterize the content to be stored of the road image.
- the first determining module 520 is configured to determine a first hash value corresponding to the first character string.
- the second determining module 530 is configured to determine a mapping hash value of the first hash value mapping.
- the storage module 540 is configured to use the mapping hash value as a distributed index of the first character string, and store the mapping hash value and the first character string.
- the road image distributed storage device provided by the present invention, by performing Hash calculation based on the first character string corresponding to the road image to be stored, obtains the corresponding mapping hash value, which can ensure a balanced distributed storage of a large number of road images, thereby preventing The efficiency of image retrieval due to unbalanced data storage is reduced, and the efficiency of storage and search is effectively improved.
- the road image distributed search device provided by the present invention is described below, and the road image distributed search device described below and the road image distributed search method described above can be referred to in correspondence.
- Fig. 6 is a schematic structural diagram of a road image distributed search device provided by the present invention.
- the device 600 includes: a second obtaining module 610, a third determining module 620, a fourth determining module 630, and a third obtaining Module 640; where:
- the second acquiring module 610 is configured to acquire a first character string corresponding to the road image to be searched, and the first character string is used to characterize the stored content of the road image to be searched.
- the third determining module 620 is configured to determine a first hash value corresponding to the first character string.
- the fourth determining module 630 is configured to determine a mapping hash value of the first hash value mapping.
- the third acquiring module 640 is configured to acquire the road image to be searched based on the mapping hash value.
- the road image distributed search device provided by the present invention, by performing Hash calculation based on the first character string corresponding to the road image to be stored, obtains the corresponding mapped hash value, which can ensure a balanced distributed storage of a large number of road images, thereby preventing The efficiency of image retrieval due to unbalanced data storage is reduced, and the efficiency of storage and search is effectively improved.
- FIG. 7 illustrates a schematic diagram of the physical structure of an electronic device.
- the electronic device may include: a processor (processor) 710, a communication interface (Communications Interface) 720, a memory (memory) 730 and a communication bus 740, Wherein, the processor 710 , the communication interface 720 , and the memory 730 communicate with each other through the communication bus 740 .
- the processor 710 can invoke logic instructions in the memory 730 to execute a method for distributed storage of road images, and the method includes:
- a mapping hash value of the first hash value mapping is determined.
- the mapping hash value is used as a distributed index of the first character string, and the mapping hash value and the first character string are stored.
- the method includes:
- a first character string corresponding to the road image to be searched is acquired, and the first character string is used to characterize the stored content of the road image to be searched.
- a mapping hash value of the first hash value mapping is determined.
- the road image to be searched is acquired.
- the above-mentioned logic instructions in the memory 730 may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as an independent product.
- the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention.
- the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disc, etc., which can store program codes. .
- the present invention also provides a computer program product.
- the computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium.
- the computer program When executed by a processor, the computer can Executing the road image distributed storage method provided by each of the above methods, the method includes:
- a mapping hash value of the first hash value mapping is determined.
- the mapping hash value is used as a distributed index of the first character string, and the mapping hash value and the first character string are stored.
- the method includes:
- a first character string corresponding to the road image to be searched is acquired, and the first character string is used to characterize the stored content of the road image to be searched.
- a mapping hash value of the first hash value mapping is determined.
- the road image to be searched is acquired.
- the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it is implemented to perform the road image distributed storage method provided by the above-mentioned methods.
- Methods include:
- a mapping hash value of the first hash value mapping is determined.
- the mapping hash value is used as a distributed index of the first character string, and the mapping hash value and the first character string are stored.
- the method includes:
- a first character string corresponding to the road image to be searched is acquired, and the first character string is used to characterize the stored content of the road image to be searched.
- a mapping hash value of the first hash value mapping is determined.
- the road image to be searched is acquired.
- the device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without any creative effort.
- each implementation can be implemented by means of software plus a necessary general hardware platform, and of course also by hardware.
- the essence of the above technical solution or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic discs, optical discs, etc., including several instructions to make a computer device (which may be a personal computer, server, or network device, etc.) execute the methods described in various embodiments or some parts of the embodiments.
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Software Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Processing Or Creating Images (AREA)
Abstract
La présente invention concerne un procédé et un appareil de stockage d'image d'autoroute distribuée, ainsi qu'un procédé et un appareil de recherche d'image d'autoroute distribuée, qui se rapportent au domaine technique des ordinateurs. Le procédé de stockage d'image d'autoroute distribuée consiste à : acquérir une première chaîne de caractères qui correspond à une image d'autoroute à stocker, la première chaîne de caractères étant utilisée pour représenter un contenu à stocker de l'image d'autoroute ; déterminer une première valeur de hachage qui correspond à la première chaîne de caractères ; déterminer une valeur de hachage mappée à laquelle la première valeur de hachage est mappée ; et prendre la valeur de hachage mappée comme index distribué de la première chaîne de caractères, puis stocker la valeur de hachage mappée et la première chaîne de caractères. Au moyen de la présente invention, un calcul de hachage est exécuté sur la base de premières chaînes de caractères correspondant aux images d'autoroute à stocker, de manière à acquérir des valeurs de hachage mappées correspondantes, de telle sorte que le stockage distribué équilibré d'un grand nombre d'images d'autoroute peut être assuré, et par conséquent une baisse de l'efficacité de récupération d'image due à un stockage de données non équilibré peut être évitée, ce qui permet d'améliorer efficacement le stockage et l'efficacité de recherche.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
ZA2023/04009A ZA202304009B (en) | 2022-06-09 | 2023-03-30 | Distributed highway image storage method and apparatus, and distributed highway image search method and apparatus |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210651900 | 2022-06-09 | ||
CN202210651900.7 | 2022-06-09 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2023030553A2 true WO2023030553A2 (fr) | 2023-03-09 |
WO2023030553A3 WO2023030553A3 (fr) | 2023-04-27 |
Family
ID=84299553
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2022/131010 WO2023030553A2 (fr) | 2022-06-09 | 2022-11-10 | Procédé et appareil de stockage d'image d'autoroute distribuée, et procédé et appareil de recherche d'image d'autoroute distribuée |
Country Status (3)
Country | Link |
---|---|
CN (1) | CN115455218A (fr) |
WO (1) | WO2023030553A2 (fr) |
ZA (1) | ZA202304009B (fr) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116758757A (zh) * | 2023-08-18 | 2023-09-15 | 福建智涵信息科技有限公司 | 一种公路养护巡检方法、介质以及设备 |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9552378B2 (en) * | 2013-11-21 | 2017-01-24 | Adobe Systems Incorporated | Method and apparatus for saving search query as metadata with an image |
CN105608224A (zh) * | 2016-01-13 | 2016-05-25 | 广西师范大学 | 一种提高海量数据查询性能的正交多哈希映射索引方法 |
US10706098B1 (en) * | 2016-03-29 | 2020-07-07 | A9.Com, Inc. | Methods to present search keywords for image-based queries |
US10558702B2 (en) * | 2016-04-06 | 2020-02-11 | Baidu Usa Llc | Unified storage system for online image searching and offline image analytics |
CN108228799B (zh) * | 2017-12-29 | 2021-09-28 | 北京奇虎科技有限公司 | 对象索引信息的存储方法及装置 |
CN108629049A (zh) * | 2018-05-14 | 2018-10-09 | 芜湖岭上信息科技有限公司 | 一种基于哈希算法的图像实时存储及查找装置及方法 |
CN109739433A (zh) * | 2018-11-27 | 2019-05-10 | 中科恒运股份有限公司 | 数据处理的方法及终端设备 |
CN111382298B (zh) * | 2018-12-30 | 2021-04-20 | 北京房江湖科技有限公司 | 基于图片内容的图像检索方法、装置与电子设备 |
CN111339088A (zh) * | 2020-02-21 | 2020-06-26 | 苏宁云计算有限公司 | 数据库的分库分表方法、装置、介质及计算机设备 |
CN111428064B (zh) * | 2020-06-11 | 2020-09-29 | 深圳市诺赛特***有限公司 | 小面积指纹图像快速索引方法、装置、设备及存储介质 |
CN113051268A (zh) * | 2021-03-19 | 2021-06-29 | 中国工商银行股份有限公司 | 数据查询方法、数据查询装置、电子设备及存储介质 |
-
2022
- 2022-08-10 CN CN202210957034.4A patent/CN115455218A/zh active Pending
- 2022-11-10 WO PCT/CN2022/131010 patent/WO2023030553A2/fr unknown
-
2023
- 2023-03-30 ZA ZA2023/04009A patent/ZA202304009B/en unknown
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116758757A (zh) * | 2023-08-18 | 2023-09-15 | 福建智涵信息科技有限公司 | 一种公路养护巡检方法、介质以及设备 |
CN116758757B (zh) * | 2023-08-18 | 2023-11-14 | 福建智涵信息科技有限公司 | 一种公路养护巡检方法、介质以及设备 |
Also Published As
Publication number | Publication date |
---|---|
ZA202304009B (en) | 2023-04-26 |
WO2023030553A3 (fr) | 2023-04-27 |
CN115455218A (zh) | 2022-12-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11550826B2 (en) | Method and system for generating a geocode trie and facilitating reverse geocode lookups | |
CN108628811B (zh) | 地址文本的匹配方法和装置 | |
WO2016091174A1 (fr) | Procédé et appareil de recherche pour des données de graphique | |
CN107656913A (zh) | 地图兴趣点地址提取方法、装置、服务器和存储介质 | |
CN103475729B (zh) | 一种物联网应用的轨迹特征点提取方法 | |
WO2016155386A1 (fr) | Procédé et dispositif permettant de déterminer si une page web comprend des données de point d'intérêt (poi) | |
US8442716B2 (en) | Identifying physical locations of entities | |
JP6752475B2 (ja) | アドレス情報に基づいたアカウントマッピングの方法及び装置 | |
US10140516B2 (en) | Event-based image management using clustering | |
US20230063099A1 (en) | Method and apparatus for correcting positioning information, and storage medium | |
WO2017140232A1 (fr) | Procédé, appareil, et dispositif électronique d'envoi d'informations d'itinéraire | |
US20170024397A1 (en) | Method of and system for parameter-free discovery and recommendation of areas-of-interest | |
WO2023030553A2 (fr) | Procédé et appareil de stockage d'image d'autoroute distribuée, et procédé et appareil de recherche d'image d'autoroute distribuée | |
WO2022247165A1 (fr) | Procédé et appareil de codage pour une zone de localisation géographique et procédé et appareil permettant d'établir un modèle de codage | |
US9396584B2 (en) | Obtaining geographic-location related information based on shadow characteristics | |
WO2014088765A1 (fr) | Systèmes et procédés permettant d'apparier des objets géographiques similaires | |
WO2024156238A1 (fr) | Procédé et appareil d'affichage d'agrégation de données cartographiques, et dispositif électronique | |
US10614034B2 (en) | Crowd sourced data sampling at the crowd | |
JP7476290B2 (ja) | 道路情報更新方法、装置、電子機器、記録媒体及びコンピュータプログラム | |
CN110659540A (zh) | 一种交通灯检测方法和装置 | |
Ennis et al. | High-level geospatial information discovery and fusion for geocoded multimedia | |
CN111831827B (zh) | 一种数据处理方法、装置、电子设备及存储介质 | |
CN103973526B (zh) | 基于网络拓扑结构的定位方法及装置 | |
JP5806364B1 (ja) | バースト領域抽出装置、バースト領域抽出方法及びバースト領域抽出プログラム | |
CN103593364B (zh) | 一种路线搜索中填充关键词的方法和*** |