CN104516896B - For handling the method and system in map hot point region - Google Patents

For handling the method and system in map hot point region Download PDF

Info

Publication number
CN104516896B
CN104516896B CN201310453180.4A CN201310453180A CN104516896B CN 104516896 B CN104516896 B CN 104516896B CN 201310453180 A CN201310453180 A CN 201310453180A CN 104516896 B CN104516896 B CN 104516896B
Authority
CN
China
Prior art keywords
hot spot
spot region
type
map
sample
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.)
Expired - Fee Related
Application number
CN201310453180.4A
Other languages
Chinese (zh)
Other versions
CN104516896A (en
Inventor
李绪成
熊新
马健
包胜华
张俐
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.)
International Business Machines Corp
Original Assignee
International Business Machines Corp
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 International Business Machines Corp filed Critical International Business Machines Corp
Priority to CN201310453180.4A priority Critical patent/CN104516896B/en
Publication of CN104516896A publication Critical patent/CN104516896A/en
Application granted granted Critical
Publication of CN104516896B publication Critical patent/CN104516896B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B29/00Maps; Plans; Charts; Diagrams, e.g. route diagram

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Mathematical Physics (AREA)
  • Business, Economics & Management (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Processing (AREA)

Abstract

The present invention relates to maps processing, discloses a kind of method and system for being used to handle the hot spot region in map.This method includes:The selection at least one sample in the map is received, wherein, selected sample belongs to same hot spot region type;According to selected sample, the model of the hot spot region type belonging to the sample is produced;Obtain the known information of number for the hot spot region for belonging to the hot spot region type;And model according to the hot spot region type and it is described known to information of number, determine the hot spot region for belonging to the hot spot region type in the map.By the method and system of the embodiment of the present invention, it can automatically identify that the script in map needs the hot spot region manually identified, so as to be effectively improved the efficiency of identification and accuracy rate.

Description

For handling the method and system in map hot point region
Technical field
The present invention relates to the method and system of Map recognition, the more particularly, to hot spot region in processing map.
Background technology
For many large areas, such as market, office building, it is often necessary to some focuses on the map in the region It is identified and marks, for example, for the Office Area of office building, it is desirable to be able to will wherein belongs to different types of hot zone Domain, station, meeting room, Tea Room etc., which mark off, to be come.The identification of current map hot point area type and profile needs people Work manually completes.Mode manually singly identifies substantial amounts of indoor map focus, is a dull work Make, and workload is very big, it is less efficient.
The content of the invention
A kind of accordingly, it is desirable to provide solution that can help the hot spot region in automatic identification map.
According to one embodiment of present invention, there is provided a kind of method for being used to handle the hot spot region in map.The party Method includes:The selection at least one sample in the map is received, wherein, selected sample belongs to same hot zone Field type;According to selected sample, the model of the hot spot region type belonging to the sample is produced;Acquisition belongs to institute State the known information of number of the hot spot region of hot spot region type;And the model according to the hot spot region type and institute Known information of number is stated, determines the hot spot region for belonging to the hot spot region type in the map.
According to another embodiment of the invention, a kind of system for being used to handle the hot spot region in map is additionally provided. The system includes:Receiving module, it is configured as receiving the selection at least one sample in the map, wherein, it is selected Sample belong to same hot spot region type;Model generation module, it is configured as, according to selected sample, producing the sample The model of the hot spot region type belonging to this;Hot spot region number acquisition module, it is configured as acquisition and belongs to the heat The known information of number of the hot spot region of point area type;And hot spot region determining module, it is configured as according to the focus The model of area type and the known information of number, determine the hot zone for belonging to the hot spot region type in the map Domain.
By the method and system of each embodiment of the present invention, it can automatically identify that the script in map needs people The hot spot region of work manual identification, so as to be effectively improved the efficiency of identification and accuracy rate.
Brief description of the drawings
Disclosure illustrative embodiments are described in more detail in conjunction with the accompanying drawings, the disclosure above-mentioned and its Its purpose, feature and advantage will be apparent, wherein, in disclosure illustrative embodiments, identical reference number Typically represent same parts.
Fig. 1 shows the block diagram suitable for being used for the exemplary computer system/server 12 for realizing embodiment of the present invention.
Fig. 2 shows the flow chart of the method for the hot spot region in processing map according to an embodiment of the invention.
Fig. 3 shows the further of the method for the hot spot region in processing map according to an embodiment of the invention Flow chart.
Fig. 4 A and Fig. 4 B show the schematic diagram of the map handled by method according to an embodiment of the invention.
Fig. 5 shows the block diagram of the system of the hot spot region in processing map according to an embodiment of the invention.
Embodiment
The preferred embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although the disclosure is shown in accompanying drawing Preferred embodiment, however, it is to be appreciated that may be realized in various forms the disclosure without the embodiment party that should be illustrated here Formula is limited.On the contrary, these embodiments are provided so that the disclosure is more thorough and complete, and can be by the disclosure Scope is intactly communicated to those skilled in the art.
Person of ordinary skill in the field knows that the present invention can be implemented as system, method or computer program product. Therefore, the disclosure can be implemented as following form, i.e.,:It can be complete hardware, can also be complete software(Including Firmware, resident software, microcode etc.), can also be the form that hardware and software combines, referred to generally herein as " circuit ", " mould Block " or " system ".In addition, in certain embodiments, the present invention is also implemented as in one or more computer-readable mediums In computer program product form, include computer-readable program code in the computer-readable medium.
Any combination of one or more computer-readable media can be used.Computer-readable medium can be calculated Machine readable signal medium or computer-readable recording medium.Computer-readable recording medium for example can be --- but it is unlimited In system, device or the device of --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or it is any more than combination.Calculate The more specifically example of machine readable storage medium storing program for executing(Non exhaustive list)Including:Electrical connection with one or more wires, just Take formula computer disk, hard disk, random access memory(RAM), read-only storage (ROM), erasable type may be programmed read-only storage Device (EPROM or flash memory), optical fiber, portable compact disc read-only storage (CD-ROM), light storage device, magnetic memory device, Or above-mentioned any appropriate combination.In this document, computer-readable recording medium can any include or store journey The tangible medium of sequence, the program can be commanded the either device use or in connection of execution system, device.
Computer-readable signal media can include in a base band or as carrier wave a part propagation data-signal, Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including --- but It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be Any computer-readable medium beyond computer-readable recording medium, the computer-readable medium can send, propagate or Transmit for by instruction execution system, device either device use or program in connection.
The program code included on computer-readable medium can be transmitted with any appropriate medium, including --- but it is unlimited In --- wireless, electric wire, optical cable, RF etc., or above-mentioned any appropriate combination.
It can be write with one or more programming languages or its combination for performing the computer that operates of the present invention Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++, Also include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with Fully perform, partly perform on the user computer on the user computer, the software kit independent as one performs, portion Divide and partly perform or performed completely on remote computer or server on the remote computer on the user computer. Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including LAN (LAN) or Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer(Such as carried using Internet service Pass through Internet connection for business).
Below with reference to the method, apparatus of the embodiment of the present invention(System)With the flow chart of computer program product and/or The block diagram description present invention.It should be appreciated that each square frame in each square frame and flow chart and/or block diagram of flow chart and/or block diagram Combination, can be realized by computer program instructions.These computer program instructions can be supplied to all-purpose computer, special The processor of computer or other programmable data processing units, so as to produce a kind of machine, these computer program instructions Performed by computer or other programmable data processing units, generate and advised in the square frame in implementation process figure and/or block diagram The device of fixed function/operation.
These computer program instructions can also be stored in can cause computer or other programmable data processing units In the computer-readable medium to work in a specific way, so, the instruction being stored in computer-readable medium just produces one Command device (the instruction of function/operation specified in the individual square frame including in implementation process figure and/or block diagram Means manufacture)(manufacture).
Computer program instructions can also be loaded into computer, other programmable data processing units or miscellaneous equipment On so that series of operation steps is performed on computer, other programmable data processing units or miscellaneous equipment, in terms of producing The process that calculation machine is realized, so that the instruction performed on computer or other programmable devices can provide implementation process figure And/or the process of function/operation specified in the square frame in block diagram.
Fig. 1 shows the block diagram suitable for being used for the exemplary computer system/server 12 for realizing embodiment of the present invention. The computer system/server 12 that Fig. 1 is shown is only an example, should not be to the function and use range of the embodiment of the present invention Bring any restrictions.
As shown in figure 1, computer system/server 12 is showed in the form of universal computing device.Computer system/service The component of device 12 can include but is not limited to:One or more processor or processing unit 16, system storage 28, connection Different system component(Including system storage 28 and processing unit 16)Bus 18.
Bus 18 represents the one or more in a few class bus structures, including memory bus or Memory Controller, Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.Lift For example, these architectures include but is not limited to industry standard architecture(ISA)Bus, MCA(MAC) Bus, enhanced isa bus, VESA(VESA)Local bus and periphery component interconnection(PCI)Bus.
Computer system/server 12 typically comprises various computing systems computer-readable recording medium.These media can be appointed What usable medium that can be accessed by computer system/server 12, including volatibility and non-volatile media, it is moveable and Immovable medium.
System storage 28 can include the computer system readable media of form of volatile memory, such as arbitrary access Memory(RAM)30 and/or buffer memory 32.Computer system/server 12 may further include it is other it is removable/no Movably, volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for reading and writing Immovable, non-volatile magnetic media(Fig. 1 is not shown, is commonly referred to as " hard disk drive ").Although not shown in Fig. 1, can It is used for providing to may move non-volatile magnetic disk(Such as " floppy disk ")The disc driver of read-write, and to removable non-volatile Property CD(Such as CD-ROM, DVD-ROM or other optical mediums)The CD drive of read-write.In these cases, it is each to drive Dynamic device can be connected by one or more data media interfaces with bus 18.Memory 28 can include at least one program Product, the program product have one group(For example, at least one)Program module, these program modules are configured to perform the present invention The function of each embodiment.
With one group(It is at least one)Program/utility 40 of program module 42, such as memory 28 can be stored in In, such program module 42 includes --- but being not limited to --- operating system, one or more application program, other programs Module and routine data, the realization of network environment may be included in each or certain combination in these examples.Program mould Block 42 generally performs function and/or method in embodiment described in the invention.
Computer system/server 12 can also be with one or more external equipments 14(It is such as keyboard, sensing equipment, aobvious Show device 24 etc.)Communication, can also enable a user to lead to the equipment that the computer system/server 12 interacts with one or more Letter, and/or any set with make it that the computer system/server 12 communicated with one or more of the other computing device It is standby(Such as network interface card, modem etc.)Communication.This communication can pass through input/output(I/O)Interface 22 is carried out.And And computer system/server 12 can also pass through network adapter 20 and one or more network(Such as LAN (LAN), wide area network(WAN)And/or public network, such as internet)Communication.As illustrated, network adapter 20 passes through bus 18 communicate with other modules of computer system/server 12.It should be understood that although not shown in the drawings, computer can be combined Systems/servers 12 use other hardware and/or software module, include but is not limited to:Microcode, device driver, at redundancy Manage unit, external disk drive array, RAID system, tape drive and data backup storage system etc..
Present inventors noted that in the map of some indoor maps, such as large-scale office building or megastore In, the focus largely with same or similar area type be present, such as seat, meeting room in office building, in market Retail shop, the parking stall in parking building etc., the focus of these same or similar area types, its profile and some correlation ginsengs Number is essentially identical or very close.In such a case, it is possible to utilize the same or similar spy of the area type of these focuses Property, automatically to identify the focus in map.
Fig. 2 shows the flow according to an embodiment of the invention for being used to handle the method for the hot spot region in map Figure.In the map, at least one hot spot region type, such as seat, meeting room etc., the hot spot region in map can be included The type being belonging respectively in these hot spot region types.
In step S210, the selection at least one sample in map is received, wherein, selected sample belongs to same Individual hot spot region type.Can be by way of receiving user's input, to receive the sample for a certain hotspot area type Selection.The selection can be realized by way of the profile that user draws out sample on map, also, the choosing of sample Selecting should be as far as possible diversified, it would be possible to which the representative sample for belonging to same hot spot region type all chooses, for example, having respectively There is sample of minimum and maximum geometric figure, etc..
In step S220, according to selected sample, the mould of the hot spot region type belonging to the sample is produced Type.
According to each embodiment of the present invention, the parameters of sample can be obtained by analyzing selected sample. The parameter of sample can include the width of figure and the maximum boundary of height, the ratio of width to height, border number etc., can also further wrap Angular range between salient angle number included in figure, each adjacent salient angle border etc. is included, for selected multiple Sample, can also compare whether it is similar geometric figure.To those skilled in the art, it can use this area Any method known is analyzed figure to obtain the relevant parameter of sample, for simplicity, here no longer to it Specific implementation is described.
According to an embodiment of the invention, a model can be produced respectively to each sample according to the parameter of each sample, And the model of caused multiple samples is merged, the model of the hot spot region type is produced, can also be according to being obtained Multiple samples parameter, for the plurality of sample produce a unified hot spot region Type model.
To those skilled in the art, it can be produced using any suitable modeling method known in the art Heat point area type model, for simplicity, no longer implements to it be described here.
In step S230, acquisition belongs to the known information of number of the hot spot region of the hot spot region type.According to the present invention One embodiment, the known information of number can be provided in itself with map or by user input letter Breath.
In step S240, according to the model of the hot spot region type and the known information of number of hot spot region, definitely Belong to the hot spot region of the hot spot region type in figure.
In this step, by swept molding method, hot spot region Type model is matched with the figure in map, so as to The focus for belonging to corresponding hot spot region type is identified, also, by using the known information of number of hot spot region, Ke Yijin One step accurately determines the hot spot region for belonging to the hot spot region type.
Due to different model creation method and model matching method, its degree of accuracy simultaneously differs, caused identification Accuracy rate also have difference, it is possible to the hot spot region identification for originally belonging to hot spot region type can be turned into another Hot spot region type.The information of number on each hot spot region type obtained is utilized, comes correcting identification result, Ke Yijin One step improves the accuracy rate of identification.
By the method shown in Fig. 2 flow chart, it can automatically identify that the script in map needs manually to know Other focus, so as to be effectively improved the efficiency of identification, and improve the accuracy rate of identification.
According to one embodiment of present invention, further can also further be helped using the auxiliary patterns of hot spot region Improve the accuracy rate of identification.For example, in the method shown in Fig. 2, the auxiliary figure of the hot spot region type can be further obtained Case, wherein, the auxiliary patterns can be the pattern selected by user from map.So, in Fig. 2 step S220, according to The model that selected sample produces the hot spot region type belonging to the sample may further include:Selected by analysis Sample, to obtain the parameter of the sample;And according to the parameter of the sample and the auxiliary figure of the hot spot region type Case, produce the model of the hot spot region type belonging to the sample.So, in the model of hot spot region type, bag The information related to auxiliary patterns is contained so that model can more accurately reflect the spy of the hot spot region type represented by it Sign, so that the step of determination hot spot region below also can be more accurate.
According to another embodiment of the invention, can also be it is determined that considering the auxiliary of the hot spot region when hot spot region Help pattern.So, in step S240, according to the model of hot spot region type, auxiliary patterns of hot spot region type and Know information of number, determine the hot spot region for belonging to the hot spot region type in the map, so as to further improve identification Accuracy rate.
Fig. 3, which is shown in the determination map being used to handle in the method for the hot spot region in map shown in Fig. 2, belongs to one The further flow chart of the step of hot spot region of hot spot region type.
In step S341, according to the model of the hot spot region type, identify and meet predetermined match parameter in the map Hot spot region.
According to one embodiment of present invention, the match parameter can be matching similarity.By swept molding method, and with heat Point area type model is matched, and is found the matching similarity in map with hot spot region type and is more than or equal to predetermined Hot spot region with similarity.To those skilled in the art, it can use known in the art any suitable Image recognition and matching process to identify the hot spot region in map according to hot spot region Type model, for simplicity, this In no longer it implemented be described.
In addition, in the case of the auxiliary patterns with hot spot region type, the auxiliary patterns can also be utilized, to help Identify the hot spot region for meeting predetermined match parameter in the map.
In step S342, the known information of number and the hot spot region number identified, with determine both it Between difference whether be more than a specific threshold.
In this step, the hot spot region number identified is counted, and with acquired hot spot region known to Information of number is compared, according to comparative result, to determine the need for adjusting match parameter.Can be according to different identification The requirement of accuracy rate, a specific threshold is set, only in the case where the difference between the two exceedes the threshold value, just match parameter is entered Row adjustment.The specific threshold can be 0 or an integer set in advance.
If the difference between the known information of number and the hot spot region number identified is more than the specific threshold, Then proceed to step S343, match parameter is adjusted.According to one embodiment of present invention, if the known number letter Breath is more than the hot spot region number identified, and difference between the two is more than a specific threshold, then explanation has The hot spot region that the hot spot region type should be belonged to is not identified, in such a case, it is possible to be matched by reducing Similarity, to improve the percent of pass of identification.And if the known information of number is less than the hot spot region number identified, And difference between the two is more than a specific threshold, then explanation has the hot zone that some were not belonging to the hot spot region type originally Domain is identified, in such a case, it is possible to by increasing the matching similarity, is not belonging to further to filter out some The hot spot region of the hot spot region type.
After step S343 have adjusted match parameter, method returns to step S341, again according to the matching after adjustment Parameter, the hot spot region in map is identified.
So, identification step, comparison step, set-up procedure are repeated, until in step S342, if the datum Difference between mesh information and the hot spot region number identified is less than or equal to a specific threshold, then method proceeds to step S344, the identified hot spot region of output.
The specific implementation of the present invention by taking the map of an office building shown in Fig. 4 A and 4B as an example, will be described below. The map of the interior layout of an office building is shown in Fig. 4 A, wherein including substantial amounts of hot spot region, is belonging respectively to difference Hot spot region type, such as seat, meeting room etc..
For type of seat therein, user can be received first for belonging to the selection of the sample of type of seat, is such as schemed Shown in 4A, user have selected 5 different figures, the sample as type of seat.
Then, this 5 samples are analyzed, obtains following common parameters:
Width:10-15,
Highly:10-20,
Width height ratio:3/4,
Side number:4
Salient angle number:4
While 1 and while 2 between angle:80-90 degree,
While 2 and while 3 between angle:85-90 degree,
...,
Closed geometry figure.
Then, the auxiliary patterns of a type of seat are selected, for example, for seat, it may include table, chair Son, computer, side cabinet etc. are configured, therefore the figure related to these configurations can be included in the auxiliary patterns.
The parameter at analyzed sample seat, and corresponding auxiliary patterns are utilized, produce the model of type of seat.
Then, using the model and its auxiliary patterns of caused type of seat, the seat in the map is identified.Wherein, Match parameter, such as matching similarity can be initialized as 80%, then scan the map, identify the mould with type of seat The matching similarity of type is more than or equal to 80% focus.Fig. 4 B show the focus identified in map, wherein, Fig. 4 B tops Shown region matches with type of seat model in region, therefore is identified as seat, and shown in Fig. 4 B central regions Region do not matched that with type of seat model, therefore seat can not be identified as.
The focus identified is counted, and by the count value and the number of the type of seat in advance obtained(100)Enter Row compares.Assuming that specific relatively threshold value set in advance is 5, that is to say, that if the difference between the count value and 100 is more than 5, then need to adjust matching similarity.If the count value is more than 105, increase matching similarity, for example, can increase from 80% Greatly to 90%, whereas if the count value is less than 95, then reduce matching similarity, for example, 70% can be reduced to from 80%.
According to the matching similarity after adjustment, the map is continued to scan on, until the seat number identified is equal or close to The type of seat number obtained in advance.
The each embodiment for realizing the method for the present invention is above described by reference to accompanying drawing.Those skilled in the art can be with Understand, the above method can be realized with software mode, can also realize in hardware, or pass through software and hardware phase With reference to mode realize.Also, it will be understood by those skilled in the art that by being combined with software, hardware or software and hardware Mode realizes each step in the above method, can provide a kind of system for being used to handle the hot spot region in map.Even if The system is identical with general purpose processing device on hardware configuration, due to the effect of the software included in it so that the system table Reveal the characteristic for being different from general purpose processing device, so as to form the system of each embodiment of the present invention.Below with reference to the accompanying drawings 5 Specifically describe the system for being used to handle the hot spot region in map of each embodiment according to the present invention.
Fig. 5 shows the system 500 according to an embodiment of the invention for being used to handle the hot spot region in map Block diagram.
The system 500 include receiving module 510, model generation module 520, hot spot region number acquisition module 530 and Hot spot region determining module 540.Wherein, receiving module 510 is configured as receiving at least one sample in the map Selection, wherein, selected sample belongs to same hot spot region type.Model generation module 520 is configured as selected by The sample selected, produce the model of the hot spot region type belonging to the sample.The quilt of hot spot region number acquisition module 530 It is configured to obtain the known information of number for the hot spot region for belonging to the hot spot region type.The quilt of hot spot region determining module 540 Be configured to according to the model of the hot spot region type and it is described known to information of number, determine to belong to the heat in the map The hot spot region of point area type.
According to one embodiment of present invention, hot spot region determining module 540 can be configured as further comprising:Identification Module, the model according to the hot spot region type is configured as, identifies the focus for meeting predetermined match parameter in the map Region;Comparison module, known information of number described in comparison and the hot spot region number identified are configured as, to determine both Between difference whether be more than a specific threshold;Adjusting module, it is configured to respond to the known information of number and identification Difference between the hot spot region number gone out is more than the specific threshold, adjusts the match parameter.Repeat identification module, ratio Compared with module and adjusting module, until the comparison module determine the hot spot region number and the known information of number that identify it Between difference be less than or equal to the specific threshold.
According to one embodiment of present invention, match parameter can be matching similarity.
According to one embodiment of present invention, adjusting module is configured to:In response to the known information of number More than the hot spot region number identified and the difference of the known information of number and the hot spot region number identified it is big In the specific threshold, the matching similarity is reduced;And it is less than the heat identified in response to the known information of number Point number of regions and the hot spot region number and the difference of the known information of number that identify are more than the specific threshold, increase institute State matching similarity.
According to one embodiment of present invention, system 500 may further include auxiliary patterns acquisition module 550, its quilt It is configured to obtain the auxiliary patterns of the hot spot region type.Meanwhile model generation module 520 is configured to:Analysis Selected sample, to obtain the parameter of the sample;And the parameter according to the sample and the hot spot region type Auxiliary patterns, produce the model of the hot spot region type belonging to the sample.
According to one embodiment of present invention, hot spot region determining module 540 is configured to:
According to the model of the hot spot region type, the hot spot region type auxiliary patterns and it is described known to number Information, determine the hot spot region for belonging to the hot spot region type in the map.
It is pointed out that although above the method and system of embodiments of the invention is carried out by taking indoor map as an example Description, but those skilled in the art are it will be appreciated that the method and system of above-mentioned each embodiment can be applied equally to room Outer map or other kinds of map.
Flow chart and block diagram in accompanying drawing show system, method and the computer journey of multiple embodiments according to the present invention Architectural framework in the cards, function and the operation of sequence product.At this point, each square frame in flow chart or block diagram can generation The part of one module of table, program segment or code, a part for the module, program segment or code include one or more use In the executable instruction of logic function as defined in realization.It should also be noted that marked at some as in the realization replaced in square frame The function of note can also be with different from the order marked in accompanying drawing generation.For example, two continuous square frames can essentially base Originally it is performed in parallel, they can also be performed in the opposite order sometimes, and this is depending on involved function.It is also noted that It is the combination of each square frame and block diagram in block diagram and/or flow chart and/or the square frame in flow chart, can uses and perform rule Fixed function or the special hardware based system of operation are realized, or can use the group of specialized hardware and computer instruction Close to realize.
It is described above various embodiments of the present invention, described above is exemplary, and non-exclusive, and It is not limited to disclosed each embodiment.In the case of without departing from the scope and spirit of illustrated each embodiment, for this skill Many modifications and changes will be apparent from for the those of ordinary skill in art field.The selection of term used herein, purport The principle of each embodiment, practical application or technological improvement to the technology in market are best being explained, or is leading this technology Other those of ordinary skill in domain are understood that each embodiment disclosed herein.

Claims (10)

1. a kind of method for being used to handle the hot spot region in map, methods described include:
The selection at least one sample in the map is received, wherein, selected sample belongs to same hot spot region Type;
According to selected sample, the model of the hot spot region type belonging to the sample is produced;
Obtain the known information of number for the hot spot region for belonging to the hot spot region type;And
According to the model of the hot spot region type and it is described known to information of number, determine to belong to the focus in the map The hot spot region of area type,
Wherein, the model according to the hot spot region type and it is described known to information of number, determine to belong in the map Further comprise in the hot spot region of the hot spot region type:
Identification step, according to the model of the hot spot region type, identify the focus for meeting predetermined match parameter in the map Region;
Comparison step, the known information of number and the hot spot region number identified, to determine difference between the two Whether value is more than a specific threshold;
Set-up procedure, it is more than the spy in response to the difference between the known information of number and the hot spot region number identified Determine threshold value, adjust the match parameter;
The identification step, comparison step and set-up procedure are repeated, until the comparison step determines the known number Difference between information and the hot spot region number identified is less than or equal to the specific threshold.
2. the method for claim 1, wherein the match parameter is matching similarity.
3. method as claimed in claim 2, wherein, it is described in response to the known information of number and the hot spot region identified Difference between number is more than the specific threshold, adjusts the match parameter and further comprises:
Be more than the hot spot region number identified in response to the known information of number and the known information of number with The difference of the hot spot region number identified is more than the specific threshold, reduces the matching similarity;And
It is less than the hot spot region number identified and the hot spot region number identified in response to the known information of number The difference of mesh and the known information of number is more than the specific threshold, increases the matching similarity.
4. the method as described in any one in claim 1-3, further comprises:
The auxiliary patterns of the hot spot region type are obtained,
Wherein, the sample selected by the basis, the model for producing the hot spot region type belonging to the sample further wrap Include:
The selected sample of analysis, to obtain the parameter of the sample;And
According to the auxiliary patterns of the parameter of the sample and the hot spot region type, produce described belonging to the sample The model of hot spot region type.
5. the method as described in any one in claim 1-3, further comprises:
The auxiliary patterns of the hot spot region type are obtained,
Wherein, the model according to the hot spot region type and it is described known to information of number, determine to belong in the map Further comprise in the hot spot region of the hot spot region type:
According to the model of the hot spot region type, the hot spot region type auxiliary patterns and it is described known to number letter Breath, determines the hot spot region for belonging to the hot spot region type in the map.
6. a kind of system for being used to handle the hot spot region in map, the system include:
Receiving module, it is configured as receiving the selection at least one sample in the map, wherein, selected sample category In same hot spot region type;
Model generation module, it is configured as according to selected sample, produces the hot spot region class belonging to the sample The model of type;
Hot spot region number acquisition module, it is configured as obtaining the known number for the hot spot region for belonging to the hot spot region type Information;And
Hot spot region determining module, be configured as according to the model of the hot spot region type and it is described known to information of number, The hot spot region for belonging to the hot spot region type in the map is determined,
Wherein, the hot spot region determining module further comprises:
Identification module, the model according to the hot spot region type is configured as, identifies and meet predetermined matching ginseng in the map Several hot spot regions;
Comparison module, known information of number described in comparison and the hot spot region number identified are configured as, to determine both Between difference whether be more than a specific threshold;
Adjusting module, the difference being configured to respond between the known information of number and the hot spot region number identified are big In the specific threshold, the match parameter is adjusted;
The identification module, comparison module and adjusting module are repeated, until the comparison module determines the known number Difference between information and the hot spot region number identified is less than or equal to the specific threshold.
7. system as claimed in claim 6, wherein, the match parameter is matching similarity.
8. system as claimed in claim 7, wherein, the adjusting module is configured to:
Be more than the hot spot region number identified in response to the known information of number and the known information of number with The difference of the hot spot region number identified is more than the specific threshold, reduces the matching similarity;And
It is less than the hot spot region number identified and the hot spot region number identified in response to the known information of number The difference of mesh and the known information of number is more than the specific threshold, increases the matching similarity.
9. the system as described in any one in claim 6-8, further comprises:
Auxiliary patterns acquisition module, it is configured as obtaining the auxiliary patterns of the hot spot region type,
Wherein, the model generation module is configured to:
The selected sample of analysis, to obtain the parameter of the sample;And
According to the auxiliary patterns of the parameter of the sample and the hot spot region type, produce described belonging to the sample The model of hot spot region type.
10. the system as described in any one in claim 6-8, further comprises:
Auxiliary patterns acquisition module, it is configured as obtaining the auxiliary patterns of the hot spot region type,
Wherein, the hot spot region determining module is configured to:
According to the model of the hot spot region type, the hot spot region type auxiliary patterns and it is described known to number letter Breath, determines the hot spot region for belonging to the hot spot region type in the map.
CN201310453180.4A 2013-09-29 2013-09-29 For handling the method and system in map hot point region Expired - Fee Related CN104516896B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310453180.4A CN104516896B (en) 2013-09-29 2013-09-29 For handling the method and system in map hot point region

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310453180.4A CN104516896B (en) 2013-09-29 2013-09-29 For handling the method and system in map hot point region

Publications (2)

Publication Number Publication Date
CN104516896A CN104516896A (en) 2015-04-15
CN104516896B true CN104516896B (en) 2018-03-09

Family

ID=52792210

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310453180.4A Expired - Fee Related CN104516896B (en) 2013-09-29 2013-09-29 For handling the method and system in map hot point region

Country Status (1)

Country Link
CN (1) CN104516896B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106488493B (en) * 2015-08-24 2020-06-02 阿里巴巴集团控股有限公司 Method and device for identifying network hotspot type of user and electronic equipment
CN106376032B (en) * 2016-08-31 2017-09-22 鲁向东 Hot spot region automatic identifying method and device
CN107133689B (en) * 2017-04-19 2021-05-25 清华大学深圳研究生院 Position marking method
CN110556049B (en) * 2018-06-04 2021-11-12 百度在线网络技术(北京)有限公司 Map data processing method, device, server and storage medium
CN110634381A (en) * 2018-06-25 2019-12-31 百度在线网络技术(北京)有限公司 Method and device for determining labeling style

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003296157A (en) * 2002-03-29 2003-10-17 Fujitsu Ltd Data storage device, data processor, data processing method, and data processing program
CN101714239A (en) * 2009-12-24 2010-05-26 北京师范大学 Quantitative ecological zoning method
CN102567397A (en) * 2010-12-30 2012-07-11 高德软件有限公司 Method and device for relevance marking of interest points and chain store sub-branch interest points

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003296157A (en) * 2002-03-29 2003-10-17 Fujitsu Ltd Data storage device, data processor, data processing method, and data processing program
CN101714239A (en) * 2009-12-24 2010-05-26 北京师范大学 Quantitative ecological zoning method
CN102567397A (en) * 2010-12-30 2012-07-11 高德软件有限公司 Method and device for relevance marking of interest points and chain store sub-branch interest points

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
地下空间标识导向设计与城市整体的探讨;李琰;《低温建筑技术》;20080331;第42-43页 *

Also Published As

Publication number Publication date
CN104516896A (en) 2015-04-15

Similar Documents

Publication Publication Date Title
CN104516896B (en) For handling the method and system in map hot point region
US20210357697A1 (en) Techniques to embed a data object into a multidimensional frame
US11687841B2 (en) Optimizing training data for image classification
EP3358476A1 (en) Method and apparatus for constructing decision model, computer device and storage device
JP6756079B2 (en) Artificial intelligence-based ternary check method, equipment and computer program
CN107369203B (en) Indoor three-dimensional scene self-adaptive construction method and device
JP2011521355A (en) Fingerprint representation using gradient histogram
JP2019519009A (en) Business customization device, method, system and storage medium based on data source
JP4774193B2 (en) Inspection system setup technology
JP2011198268A (en) Information processing apparatus, method, and program
WO2020072587A1 (en) Scalable dynamic acronym decoder
CN106294499A (en) A kind of database data querying method and equipment
RU2406136C2 (en) Method and mechanism of extracting and identifying polygons when designing integrated circuits
WO2019201029A1 (en) Candidate box update method and apparatus
CN108681493A (en) Data exception detection method, device, server and storage medium
WO2019095587A1 (en) Face recognition method, application server, and computer-readable storage medium
CN105528333A (en) Method and device for optimally displaying document
CN110175128A (en) A kind of similar codes case acquisition methods, device, equipment and storage medium
CN114943672A (en) Image defect detection method and device, electronic equipment and storage medium
CN112084103B (en) Interface test method, device, equipment and medium
CN104298975B (en) A kind of distributed image recognition methods
US20110274345A1 (en) Accuracy of recognition by means of a combination of classifiers
JP7306460B2 (en) Adversarial instance detection system, method and program
US11599743B2 (en) Method and apparatus for obtaining product training images, and non-transitory computer-readable storage medium
CN114495911A (en) Speaker clustering method, device and equipment

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20180309

Termination date: 20200929

CF01 Termination of patent right due to non-payment of annual fee