CN105608109A - Photographic log processing method, apparatus and system, server and intelligent device - Google Patents
Photographic log processing method, apparatus and system, server and intelligent device Download PDFInfo
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- CN105608109A CN105608109A CN201510791043.0A CN201510791043A CN105608109A CN 105608109 A CN105608109 A CN 105608109A CN 201510791043 A CN201510791043 A CN 201510791043A CN 105608109 A CN105608109 A CN 105608109A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
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- G06F16/43—Querying
- G06F16/432—Query formulation
- G06F16/434—Query formulation using image data, e.g. images, photos, pictures taken by a user
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/48—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/487—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
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Abstract
The invention discloses a photographic log processing method, apparatus and system, a server and an intelligent device. The method comprises the steps of obtaining a photographic log recorded in each time slice, wherein the photographic log at least comprises a photographic place; clustering the photographic log recorded in each time slice according to a predetermined rule to obtain a plurality of cluster sets; and according to a region associated with each cluster set, identifying a specified region. According to the photographic log processing method, apparatus and system, the server and the intelligent device, the technical problems of long consumed time and low identification accuracy of an existing scenic spot identification technology that needs workers to identify scenic spot regions on the spot are solved.
Description
Technical field
The present invention relates to computer realm, in particular to a kind of processing method of the daily record of taking pictures, device, system,Server and smart machine.
Background technology
Along with popularizing of smart machine, most of users trend towards checking electronic chart with smart machine, Yong HuWhen checking electronic chart, conventionally can be interested in the region, sight spot marking on electronic chart, at present, electronicallyFigure manufacturer is all that the method based on traditional marks out region, sight spot on electronic chart. For example, send staff to go realityIdentification sight spot, ground, then electronic chart is marked, it should be noted that, adopt manual identified sight spot to there will be followingShortcoming:
(1) narrow due to the aspect such as restriction, viewing angle of staff's personal knowledge, can cause some sight spotsOmit, such as the sight spot to emerging, minority sight spot mark not in time, inaccurate.
(2) staff, in order to mark the longitude and latitude at sight spot on electronic chart, usually will carry a large amount of equipment and go realityLongitude and latitude is measured on ground, need to expend a large amount of time, manpower and material resources.
For above-mentioned existing sight spot recognition technology need to manually go to go on the spot to identify region, sight spot expend time in long, knowThe problem that other accuracy rate is low, not yet proposes effective solution at present.
Summary of the invention
The embodiment of the present invention provides a kind of processing method, device, system, server and intelligence of the daily record of taking pictures to establishStandby, with at least solve existing sight spot recognition technology need to manually go to go on the spot to identify region, sight spot expend time in long,The low technical problem of accuracy rate of identification.
According to the embodiment of the present invention aspect, a kind of processing method of the daily record of taking pictures is provided, comprising: obtain everyThe daily record of taking pictures of record in individual time slice, wherein, the daily record of taking pictures at least comprises: shooting places; By each timesliceIn section, the daily record of taking pictures of record is carried out cluster according to pre-defined rule, obtains multiple cluster set; According to each cluster setAppointed area is identified in associated region.
According to the embodiment of the present invention on the other hand, also provide a kind for the treatment of apparatus of the daily record of taking pictures, having comprised: obtainUnit, for obtaining the daily record of taking pictures of recording in each time slice, wherein, the daily record of taking pictures at least comprises: take pictures groundPoint; Cluster cell, for the daily record of taking pictures of recording in each time slice is carried out to cluster according to pre-defined rule, obtainsMultiple cluster set; Recognition unit, for identifying appointed area according to the associated region of each cluster set.
According to the embodiment of the present invention on the other hand, also provide a kind for the treatment of system of the daily record of taking pictures, having comprised: clientEnd, for detecting that the rear daily record of taking pictures that generates occurs the event of taking pictures, wherein, the daily record of taking pictures at least comprises: take pictures groundPoint; Service end, sets up correspondence with client, for obtaining the daily record of taking pictures of recording in each time slice; ClothesBusiness end, also for the daily record of taking pictures of recording in each time slice is carried out to cluster according to pre-defined rule, obtains multiple clustersSet; Service end is also for identifying appointed area according to the associated region of each cluster set.
According to the embodiment of the present invention on the other hand, also provide a kind of server, having comprised: receiver, for obtainingThe daily record of taking pictures of record in each time slice, wherein, the daily record of taking pictures at least comprises: shooting places; Processor, usesThe daily record of taking pictures of recording in by each time slice is carried out cluster according to pre-defined rule, obtains multiple cluster set; PlaceReason device is also for identifying appointed area according to the associated region of each cluster set.
According to the embodiment of the present invention on the other hand, also provide a kind of smart machine, monitor, each for monitoringThe daily record of taking pictures of record in time slice, wherein, the daily record of taking pictures at least comprises: shooting places; Transceiver, for inciting somebody to actionIn the each time slice listening to, the Log Sender of taking pictures of record, to server to obtain appointed area, wherein, is specifiedRegion is carried out cluster by the daily record of taking pictures of recording in each time slice according to pre-defined rule by server, obtains multiple poly-Class set, and obtain according to the associated region identification of each cluster set; Display, for receiving and showing appointmentRegion.
In embodiments of the present invention, adopt the daily record of taking pictures of obtaining record in each time slice, wherein, the daily record of taking picturesAt least comprise: shooting places; The daily record of taking pictures of recording in each time slice is carried out to cluster according to pre-defined rule,To multiple cluster set; Identify appointed area according to the associated region of each cluster set. Solve existing scapePoint recognition technology need to manually go to go to identify region, the sight spot low technology of accuracy rate long, identification that expends time on the spot and askTopic.
Brief description of the drawings
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms the application's a part, thisBright schematic description and description is used for explaining the present invention, does not form inappropriate limitation of the present invention. At accompanying drawingIn:
Fig. 1 is according to the hardware block diagram of the processing method of the daily record of taking pictures of the embodiment of the present invention;
Fig. 2 is according to the flow chart of the processing method of the daily record of taking pictures of the embodiment of the present invention;
Fig. 3 is according to the schematic diagram of the processing method of the daily record of taking pictures alternatively of the embodiment of the present invention;
Fig. 4 is according to the schematic diagram of the processing method of the daily record of taking pictures alternatively of the embodiment of the present invention;
Fig. 5 is according to the schematic diagram of the processing method of the daily record of taking pictures alternatively of the embodiment of the present invention;
Fig. 6 is according to the schematic diagram of the processing method of the daily record of taking pictures alternatively of the embodiment of the present invention;
Fig. 7 is according to the schematic diagram of the processing method of the daily record of taking pictures alternatively of the embodiment of the present invention;
Fig. 8 is according to the schematic diagram of the treating apparatus of the daily record of taking pictures of the embodiment of the present invention;
Fig. 9 is according to the schematic diagram of the treatment system of the daily record of taking pictures of the embodiment of the present invention;
Figure 10 is according to the schematic diagram of the server of the embodiment of the present invention; And
Figure 11 is according to the schematic diagram of the smart machine of the embodiment of the present invention.
Detailed description of the invention
In order to make those skilled in the art person understand better the present invention program, below in conjunction with in the embodiment of the present inventionAccompanying drawing, is clearly and completely described the technical scheme in the embodiment of the present invention, obviously, and described embodimentOnly the embodiment of a part of the present invention, instead of whole embodiment. Based on the embodiment in the present invention, abilityTerritory those of ordinary skill, not making the every other embodiment obtaining under creative work prerequisite, all should belong toThe scope of protection of the invention.
It should be noted that the term " first ", " in description of the present invention and claims and above-mentioned accompanying drawingTwo " be etc. for distinguishing similar object, and needn't be used for describing specific order or precedence. Should be appreciated that thisThe data that sample uses suitably can exchanged in situation, so as embodiments of the invention described herein can with exceptHere the order beyond those of diagram or description is implemented. In addition, term " comprises " and " having " and theyAny distortion, intention is to cover not exclusive comprising, for example, the process, the side that have comprised series of steps or unitThose steps or unit that method, system, product or equipment are not necessarily limited to clearly list, but can comprise do not have clearList or for these processes, method, product or equipment intrinsic other step or unit.
Embodiment 1
According to the embodiment of the present invention, a kind of embodiment of processing method of the daily record of taking pictures is also provided, it should be noted that,Can in the computer system such as one group of computer executable instructions, carry out in the step shown in the flow chart of accompanying drawing,And, although there is shown logical order in flow process, in some cases, can be to be different from herein suitableOrder is carried out shown or described step.
The embodiment of the method that the embodiment of the present application one provides can or similarly be transported at mobile terminal, terminalCalculate in device and carry out. To operate on terminal as example, Fig. 1 is a kind of daily record of taking pictures of the embodiment of the present inventionThe hardware block diagram of the terminal of processing method. As shown in Figure 1, terminal 10 can comprise one orMultiple (only illustrating one in figure) processor 102 (processor 102 can include but not limited to Micro-processor MCV orThe treating apparatus of PLD FPGA etc.), for storing the memory 104 of data and for the merit of communicating by letterThe transport module 106 of energy. One of ordinary skill in the art will appreciate that, the structure shown in Fig. 1 is only signal, and it alsoThe structure of above-mentioned electronic installation is not caused to restriction. For example, terminal 10 also can comprise than more shown in Fig. 1Or assembly still less, or have and configurations different shown in Fig. 1.
Memory 104 can be used for storing software program and the module of application software, as taking pictures in the embodiment of the present inventionProgrammed instruction/the module corresponding to processing method of daily record, processor 102 is stored in soft in memory 104 by operationPart program and module, thus various function application and data processing carried out, realize the leakage of above-mentioned application programHole detection method. Memory 104 can comprise high speed random access memory, also can comprise nonvolatile memory, as oneOr multiple magnetic storage devices, flash memory or other non-volatile solid state memories. In some instances, storageDevice 104 can further comprise the memory with respect to processor 102 long-range settings, and these remote memories can pass throughNetwork is connected to terminal 10. The example of above-mentioned network includes but not limited to internet, intranet, localNet, mobile radio communication and combination thereof.
Transmitting device 106 is for receiving or send data via a network. Above-mentioned network instantiation can compriseThe wireless network that the communication providers of terminal 10 provides. In an example, transmitting device 106 comprises oneNetwork adapter (NetworkInterfaceController, NIC), it can be by base station and other network equipmentsThereby be connected and can carry out communication with internet. In an example, transmitting device 106 can be radio frequency (RadioFrequency, RF) module, it is for carrying out communication by wireless mode and internet.
Under above-mentioned running environment, the application provides the processing method of the daily record of taking pictures as shown in Figure 2. Fig. 2 is rootAccording to the flow chart of the processing method of the daily record of taking pictures of the embodiment of the present invention one.
As shown in Figure 2, the take pictures processing method of daily record can comprise:
Step S22, the daily record of taking pictures of obtaining record in each time slice, wherein, the daily record of taking pictures at least comprises: clapAccording to place.
In above-mentioned steps S22, the daily record of taking pictures that can adopt server to obtain record in multiple time slices, canSelection of land, the above-mentioned daily record of taking pictures can be recorded and be uploaded onto the server by terminal device, in the daily record of taking pictures, can comprise batAccording to place and photo opporunity. Server, can be to upper after receiving multiple daily records of taking pictures that terminal device uploadsState multiple daily records of taking pictures and carry out the section of cutting apart at certain hour interval, server by above-mentioned multiple daily records of taking pictures according to manyIndividual time slice divides into groups, and each group comprises multiple daily records of taking pictures that photo opporunity belongs to same time fragment. Above-mentionedShooting places can be for terminal device be in the place of the event of taking pictures, i.e. terminal device residing ground in the time taking picturesReason position. Terminal device can, by the above-mentioned Log Sender of taking pictures to server, be carried out multiple daily records of taking pictures by serverProcess.
The daily record of taking pictures of uploading taking server to process terminal equipment is below as example, and multiple terminal devices in different location respectivelyTake pictures, the client software in terminal device in the situation that monitoring terminal device at every turn and taking pictures event,Client software automatically generates gets the daily record daily record of taking pictures ready, can comprise terminal device while taking pictures in this daily record of taking picturesLatitude and longitude information and the time of taking pictures, in the time that terminal device is connected to network, terminal device is automatically by client softwareThe multiple daily records of taking pictures that generate upload onto the server, and server divides into groups to multiple daily records of taking pictures, and server existsAugust 1 to August 3 within three days, receive altogether 27 daily records of taking pictures, server by above-mentioned 27 take pictures daily record according toThe time interval of one day is divided into 3 groups, and as shown in following table one, server is that 8 of August 1 take pictures by photo opporunityDaily record is divided into first group, is that 9 daily records of taking pictures on August 2 are divided into second group by photo opporunity, by photo opporunity is10 daily records of taking pictures on August 3 are divided into the 3rd group.
Table one
| Photo opporunity | The daily record of taking pictures |
| August 1 | 8 daily records of taking pictures |
| August 2 | 9 daily records of taking pictures |
| August 3 | 10 daily records of taking pictures |
Step S24, carries out cluster by the daily record of taking pictures of recording in each time slice according to pre-defined rule, obtains multipleCluster set.
In above-mentioned steps S24, server can (record the daily record of taking pictures in each group in each time sliceThe daily record of taking pictures) carry out cluster according to pre-defined rule, generate multiple cluster set, above-mentioned multiple cluster set can be manyIndividual cluster centre, the multiple daily records of taking pictures that comprise in each cluster set have similitude. Alternatively, above-mentioned eachThe number of the daily record of taking pictures comprising in cluster set is at least 2.
The daily record of taking pictures of still uploading taking server to process terminal equipment is below as example, and server is by each group in table oneThe daily record of taking pictures carry out cluster according to pre-defined rule, generate multiple cluster set (cluster centre), as shown in Figure 3, clothesBusiness device is that cluster is carried out in 8 daily records of taking pictures in August 1 to time slice, according to pre-defined rule, 8 is taken picturesBe divided into two cluster set, in cluster set unification, comprise three three daily records of taking pictures with similar positional information, clusterIn set two, comprise four daily records of taking pictures with similar positional information. Server is after the same method in his-and-hers watches oneThe group of remaining two is carried out cluster, generates multiple cluster set to each group.
Step S26, identifies appointed area according to the associated region of each cluster set.
In above-mentioned steps S26, server can obtain the associated region of above-mentioned each cluster set, needs hereIllustrate, because the daily record of taking pictures in each cluster set comprises shooting places, of living in when terminal device is taken picturesLongitude and latitude, server can be determined a region, this region according to the multiple longitudes and latitudes in each cluster setBe the associated region of above-mentioned each cluster set, server can obtain each time slice according to said methodAppointed area is then identified in the region that cluster set is associated from multiple regions, alternatively, above-mentioned when eachBetween the associated region of cluster set of fragment can be region, doubtful sight spot, above-mentioned appointed area can be region, sight spot.
The daily record of taking pictures of still uploading taking server to process terminal equipment is below as example, and server can obtain in table oneThe GPS information (latitude and longitude information) of three daily records of taking pictures in the cluster set unification in a group, then according to three batsDetermine a region according to the GPS information of daily record, for example, the warp of three daily records of taking pictures in above-mentioned cluster set unificationLatitude is respectively 39 ° of north latitude, 116 ° of east longitudes, and 40 ° of north latitude, 117 °, Tokyo, 41 ° of north latitude, 118 °, Tokyo,Server can determine that it is 39 ° to 41 ° of north latitude that cluster set is unified associated region, 116 ° to 118 °, Tokyo,In the following embodiments, the application is by 39 ° to 41 ° of north latitude, and the region that Tokyo is 116 ° to 118 ° is called A districtTerritory, in conjunction with Fig. 3, server determines that by same method the associated region of cluster set two is B region and tableMultiple regions of cluster set associative in second group in, the 3rd group. Then, server can be from above-mentioned manyIn individual region, identify region, sight spot.
In the disclosed scheme of the above embodiments of the present application one, if electronic chart manufacturer wants to identify on electronic chartRegion, sight spot, can carry out by client software the event of taking pictures of monitor terminal equipment, and then terminal device is according to taking picturesEvent generates the daily record of taking pictures, multiple daily records of taking pictures that server receiving terminal apparatus is uploaded, according to pre-defined rule to differenceCluster is carried out in the daily record of taking pictures of time slice, generates multiple cluster set, and server is again according to each cluster set associativeRegion identify region, sight spot. Easily notice, because this programme identifies sight spot by client and serverRegion, finally can obtain the geographical position in region, sight spot, therefore, and the scheme providing by the embodiment of the present invention,Without the GPS information that expends a large amount of man power and materials and go to gather sight spot on the spot, meanwhile, this programme utilizes machine without prisonEducational inspector's learning method is identified sight spot, does not need artificial realization to distinguish and collect sight spot, and this programme can be based onUser's agenda is analyzed and is excavated the daily record of taking pictures, and has avoided artificial mark assistant director's the subjective impact of individual, thisThe real-time calculation and analysis of scheme based on user's agenda data, also can avoid the hysteresis quality of artificial mask method, clapsAccording to the Seasonal that also can embody sight spot in daily record. The scheme solution of above-described embodiment one that thus, the application providesThe existing sight spot recognition technology of having determined need to manually go to go on the spot to identify region, sight spot expend time in long, identification accuratelyThe technical problem that rate is low.
Alternatively, step S24, carries out cluster by the daily record of taking pictures of recording in each time slice according to pre-defined rule,The step that obtains multiple cluster set can comprise:
Step S241, by each time slice, record multiple described in the daily record of taking pictures carry out the cluster based on level, buildVertical multiple cluster set, wherein, the daily record of taking pictures above of two of each cluster set-inclusions.
In above-mentioned steps S241, can be to multiple daily records of taking pictures of recording in each time slice according to hierarchical clusteringCluster strategy carries out cluster, thereby sets up multiple cluster set, it should be noted that, through gathering of above-mentioned hierarchical clusteringThe shooting places of the multiple daily records of taking pictures in class set is close.
In one alternatively in embodiment, multiple any two in the daily records of taking pictures that can record in each time sliceDistance between individual above shooting places of taking pictures in daily record is less than in the situation of predeterminable range, sets up cluster set, onState any two daily records of taking pictures above of cluster set-inclusion.
For example, first server can obtain the place (longitude and latitude) of multiple daily records of taking pictures, and then calculates any two batsAccording to the distance between the longitude and latitude in the place of daily record, the distance between the longitude and latitude in the place of any two daily records of taking picturesBe less than in the situation of predeterminable range, server thinks that the positional information of above-mentioned any two daily records of taking pictures has similitude,And above-mentioned any two daily records of taking pictures are divided into and set up a cluster set.
The daily record of taking pictures of still uploading taking server to process terminal equipment is below as example, in first group in server his-and-hers watches one, cluster is carried out in the daily record of taking pictures, and in conjunction with Fig. 3, server can calculate the place of the daily record one of taking pictures and the daily record two of taking picturesPlace between distance one, the distance two between the place of the daily record two of taking pictures and the place of the daily record three of taking pictures, takes pictures dayDistance three between the place of the place of will one and the daily record three of taking pictures, can store predeterminable range in server, with upperState three distances and compare, in the situation that above-mentioned distance one is less than predeterminable range, the ground of the daily record one of taking pictures is describedPoint is more approaching with the place of the daily record two of taking pictures, and will take pictures daily record one and the daily record two of taking pictures of server is defined as a clusterSet, if in the place of the daily record three of taking pictures and the approaching situation in the place of daily record one of taking pictures, server will be taken pictures dayWill three is defined as another cluster set with the daily record one of taking pictures, if distance between the place of three daily records of taking pictures between twoAll in approaching situation, will take pictures daily record three, the daily record two of taking pictures, the daily record one of taking pictures of server is established as a clusterSet, i.e. the unification of cluster set in Fig. 3, it is region, doubtful sight spot, server that cluster set is unified associated regionAlso set up the multiple cluster set in remaining two groups in cluster set two in figure tri-and table one by same method.
Alternatively, step S26, the step that identifies appointed area according to the associated region of each cluster set is passableComprise:
Step S261, two daily records of taking pictures above of obtaining each cluster set-inclusion.
Step S262, determines the region of each cluster set associative according to the shooting places of two daily records of taking pictures above.
At above-mentioned steps S261, to step S262, server can obtain two daily records of taking pictures in each cluster setPlace determine above-mentioned two regions that the daily record of taking pictures is associated, alternatively, server can be according to above-mentioned two batsDetermine the region under each cluster set according to the longitude and latitude of daily record, and determine that this region is each cluster set associativeRegion.
The daily record of taking pictures of still uploading taking server to process terminal equipment is below as example, and server can obtain in table oneThe latitude and longitude information of three daily records of taking pictures in the unification of cluster set in a group, then according to three daily records of taking picturesGPS information is determined a region, and for example, the longitude and latitude of three daily records of taking pictures in above-mentioned cluster set unification respectivelyFor 39 ° of north latitude, 116 ° of east longitudes, 40 ° of north latitude, 117 °, Tokyo, 41 ° of north latitude, 118 °, Tokyo, serverCan determine that it is 39 ° to 41 ° of north latitude that cluster set is unified associated region, 116 ° to 118 °, Tokyo is in Fig. 3A-quadrant, server determines that by same method the associated region of cluster set two is B region, in conjunction with Fig. 4,Then server determines the region B of the cluster set associative in second group in table one, and in conjunction with Fig. 5, server is determinedThe region B of the cluster set associative of the 3rd group in table one. Alternatively, server is by above-mentioned zone A and region BBe defined as region, doubtful sight spot.
Step S263, the number of times that statistics occurs in the associated region of any one cluster set of multiple time slices.
Step S264, is defined as sight spot district by exceeding with the number of times occurring the region that the cluster set of first threshold is associatedTerritory.
In above-mentioned steps S264, it is associated that server can be added up in multiple time slices any one cluster setThe number of times that region occurs, if the number of times that certain region occurs exceedes in the situation of first threshold, server determines that this goes outIt is region, sight spot that existing number of times exceedes first threshold.
The daily record of taking pictures of still uploading taking server to process terminal equipment is below as example, server can statistical form one in threeThe number of times that the region of all cluster set associatives in group occurred altogether in August 1 to August 3, in conjunction with Fig. 3 extremelyFig. 5, doubtful sight spot A occurs once, doubtful sight spot B appearance twice, above-mentioned first threshold is 2, server is determinedDoubtful sight spot B is real region, sight spot, and sight spot A is noise sight spot, and serviced device filters out.
Alternatively, at step S22, before obtaining the daily record of taking pictures of record in each time slice, the side of the present embodimentMethod can also comprise:
Step S20, receives multiple daily records of taking pictures that multiple terminal devices send, and wherein, terminal device is in each detectionAfter occurring, the event of taking pictures generates the daily record of taking pictures.
In above-mentioned steps S20, multiple daily records of taking pictures that server can receiving terminal apparatus be uploaded, in terminal deviceClient software can monitor terminal equipment the event of taking pictures, in the situation that terminal device is taken pictures event, visitorFamily end software can generate gets the daily record daily record of taking pictures ready, can record terminal device and is taking pictures taking pictures in daily recordThe time of event, and the GPS information (longitude and latitude) of emphasis equipment in the time taking pictures, terminal device is being connected to wifiTime, timing uploads onto the server the above-mentioned multiple daily records of taking pictures that generate.
Alternatively, at step S264, by exceed the region that the cluster set of first threshold is associated true with the number of times occurringAfter being decided to be region, sight spot, the present embodiment method can also comprise:
Step S265 marks the place in region, sight spot on electronic chart.
At above-mentioned steps S265, server after determining real region, sight spot, can be on electronic chart scenic focal pointPoint region marks, and alternatively, server can be sent to terminal device by the electronic chart after mark, with to endThe electronic chart of end equipment carries out sight spot renewal.
Be that example is described the application in a kind of scheme of identifying sight spot below:
In conjunction with Fig. 6 to Fig. 7, this programme can be divided into that client upload is got daily record ready and server process is got daily record readyTwo parts:
(1) client upload is got daily record ready and can be divided into following steps:
Steps A: first client monitors smart machine camera event.
Step B: in the time that client listens to camera and takes pictures event, client is getting in daily record the record event institute of taking pictures readyThe photo opporunity relating to and the GPS information (longitude and latitude) while taking pictures. Device identification (manufacturer of equipment, model, IMEI(InternationalMobileEquipmentIdentity))。
Step C: when this equipment connection is during to WIFI equipment, the daily record of getting ready that step B is uploaded in client timing.
(2) service end processing is got daily record ready and can be divided into following steps:
First, service end stores all users' the above-mentioned daily record data of getting ready into large data analysis according to time sequencingPlatform Spark, and carry out the section of cutting apart at certain hour interval to getting daily record ready.
Then, service end is to the GPS information in each isochronous surface, sets infima species spacing, and carry out based onThe analysis of the hierarchical clustering merging, forms multiple cluster centres, and each cluster centre, is exactly doubtful sight spot.
Then, service end is carried out time series analysis to the cluster centre (doubtful sight spot) of section continuous time, screeningGo out the stable cluster centre of time sequence model.
Finally, cluster centre stable time sequence model is defined as sight spot by service end, and the longitude and latitude at definite sight spot.
Hence one can see that, and the present embodiment can be monitored the camera event of smart machine, and collect user's the behavioral data of taking pictures,This programme, without any priori about sight spot, carries out unsupervised learning to the user's who collects the behavioral data of taking pictures(based on the cluster analysis of level) and time series analysis, intelligentized identification sight spot longitude and latitude.
It should be noted that, for aforesaid each embodiment of the method, for simple description, therefore it is all expressed as to one beRow combination of actions, but those skilled in the art should know, the present invention is not subject to the limit of described sequence of movementSystem, because according to the present invention, some step can adopt other orders or carry out simultaneously. Secondly, art technologyPersonnel also should know, the embodiment described in description all belongs to preferred embodiment, related action and moduleMight not be that the present invention is necessary.
Through the above description of the embodiments, those skilled in the art can be well understood to according to above-mentioned enforcementThe mode that the method for example can add essential general hardware platform by software realizes, and can certainly pass through hardware, butIn a lot of situations, the former is better embodiment. Based on such understanding, technical scheme of the present invention in essence orSay that the part that prior art is contributed can embody with the form of software product, this computer software product is depositedStorage, in a storage medium (as ROM/RAM, magnetic disc, CD), comprises that some instructions are in order to make a station terminalThe side that equipment (can be mobile phone, computer, server, or the network equipment etc.) is carried out each embodiment of the present inventionMethod.
Embodiment 2
According to the embodiment of the present invention, also provide a kind of for implementing the daily record of taking pictures of processing method of the above-mentioned daily record of taking picturesTreating apparatus, as shown in Figure 8, this device can comprise: acquiring unit 80, cluster cell 82, recognition unit84。
Wherein, acquiring unit 80, for obtaining the daily record of taking pictures of recording in each time slice, wherein, the daily record of taking picturesAt least comprise: shooting places. Cluster cell 82, for by the daily record of taking pictures of recording in each time slice according to predeterminedRule is carried out cluster, obtains multiple cluster set. Recognition unit 84, for according to the associated district of each cluster setAppointed area is identified in territory.
In the disclosed scheme of the above embodiments of the present application two, if electronic chart manufacturer is to identify scape on electronic chartPoint region, the event of taking pictures that can monitor terminal equipment, generates the daily record of taking pictures, and server receiving terminal apparatus is uploadedMultiple daily records of taking pictures, carry out cluster according to pre-defined rule to the daily record of taking pictures of different time fragment, generate multiple cluster setsClose, then identify region, sight spot according to the region of each cluster set associative. Easily notice, because this programme passes throughAcquiring unit 80, cluster cell 82, recognition unit 84 identifies region, sight spot, finally can obtain region, sight spotGeographical position, therefore, the scheme providing by the embodiment of the present invention, goes without expending a large amount of man power and materialsGather the GPS information at sight spot on the spot, meanwhile, this programme utilizes machine unsupervised learning method to identify sight spot,Do not need artificial realization to distinguish and collect sight spot, and this programme can carry out based on user's agenda to the daily record of taking picturesAnalyze and excavate, avoided artificial mark assistant director's the subjective impact of individual, this programme is based on user's agenda dataReal-time calculation and analysis, also can avoid the hysteresis quality of artificial mask method, also can embody the season at sight spot in the daily record of taking picturesJoint variability. The scheme of above-described embodiment two that thus, the application provides has solved existing sight spot recognition technology needsManually go to go to identify the low technical problem of accuracy rate expending time in length, identify in region, sight spot on the spot.
Alternatively, above-mentioned cluster cell comprises: set up module.
Wherein, set up module, for multiple daily records of taking pictures of recording in each time slice being carried out to gathering based on levelClass, sets up multiple cluster set, wherein, and the daily record of taking pictures above of two of each cluster set-inclusions.
Alternatively, recognition unit can comprise: acquisition module, determination module. Statistical module, determination module.
Wherein, acquisition module, for obtaining any two daily records of taking pictures above of each cluster set-inclusion; Determine mouldPiece, for determining the region of each cluster set associative according to the shooting places of any two daily records of taking pictures above; StatisticsModule, for adding up the number of times occurring in the associated region of any one cluster set of multiple time slices; DetermineModule, for being defined as region, sight spot by exceeding with the number of times occurring the region that the cluster set of first threshold is associated.
Alternatively, the device that the present embodiment provides can also comprise: receiving element.
Wherein, receiving element, the multiple daily records of taking pictures that send for receiving multiple terminal devices, wherein, terminal deviceDetecting that the rear daily record of taking pictures that generates occurs the event of taking pictures at every turn.
Alternatively, recognition unit can also comprise: labeling module, sending module.
Wherein, labeling module, for marking the place in region, sight spot on electronic chart; Sending module, usesIn the electronic chart after mark is sent to multiple terminal devices.
Embodiment 3
According to the embodiment of the present invention, also provide a kind of for implementing the daily record of taking pictures of processing method of the above-mentioned daily record of taking picturesTreatment system, as shown in Figure 9, this system can comprise: client 90, service end 92.
Wherein, client 90, for detecting that the rear daily record of taking pictures that generates occurs the event of taking pictures, wherein, the daily record of taking picturesAt least comprise: shooting places; Service end 92, sets up correspondence with client, for obtaining in each time sliceThe daily record of taking pictures of record; Service end is also for carrying out the daily record of taking pictures of recording in each time slice according to pre-defined ruleCluster, obtains multiple cluster set; Service end is also for identifying appointment according to the associated region of each cluster setRegion.
In the disclosed scheme of the above embodiments of the present application three, if electronic chart manufacturer is to identify scape on electronic chartPoint region, the event of taking pictures that can monitor terminal equipment, generates the daily record of taking pictures, and server receiving terminal apparatus is uploadedMultiple daily records of taking pictures, carry out cluster according to pre-defined rule to the daily record of taking pictures of different time fragment, generate multiple cluster setsClose, then identify region, sight spot according to the region of each cluster set associative. Easily notice, because this programme passes throughClient 90, service end 92 identifies region, sight spot, finally can obtain the geographical position in region, sight spot, therefore,The scheme providing by the embodiment of the present invention, without the GPS that expends a large amount of man power and materials and go to gather sight spot on the spotInformation, meanwhile, this programme utilizes machine unsupervised learning method to identify sight spot, does not need artificial realization to distinguishWith collect sight spot, and this programme can analyze and excavate the daily record of taking pictures based on user's agenda, avoidedArtificial mark assistant director's the subjective impact of individual, the real-time calculation and analysis of this programme based on user's agenda data, also canTo avoid the hysteresis quality of artificial mask method, in the daily record of taking pictures, also can embody the Seasonal at sight spot. Thus, originallyThe scheme of above-described embodiment three that application provides has solved existing sight spot recognition technology and need to manually go to go on the spot to identifyThe low technical problem of accuracy rate long, identification of expending time in region, sight spot.
Embodiment 4
The embodiment of the present invention also provides a kind of server, and as shown in figure 10, this server can comprise:
Receiver 100, for obtaining the daily record of taking pictures of recording in each time slice, wherein, the daily record of taking pictures is at least wrappedDraw together: shooting places.
Concrete, in above-mentioned each time slice that receiver 100 can receiving terminal apparatus (smart machine) sendsThe daily record of taking pictures of record, the above-mentioned daily record of taking pictures can be recorded and be uploaded onto the server by terminal device, takes pictures in daily recordCan comprise shooting places and photo opporunity. Server is receiving many that terminal device uploads by receiver 100After the individual daily record of taking pictures, can carry out the section of cutting apart at certain hour interval, i.e. server to above-mentioned multiple daily records of taking picturesAbove-mentioned multiple daily records of taking pictures are divided into groups according to multiple time slices, and each group comprises photo opporunity and belongs to same timeMultiple daily records of taking pictures of fragment. Above-mentioned shooting places can be for terminal device be in the place of the event of taking pictures, i.e. terminalEquipment is residing geographical position in the time taking pictures. Terminal device can be by the above-mentioned Log Sender of taking pictures to server, byServer is processed multiple daily records of taking pictures.
The daily record of taking pictures of uploading taking server to process terminal equipment is below as example, and multiple terminal devices in different location respectivelyTake pictures, the client software in terminal device in the situation that monitoring terminal device at every turn and taking pictures event,Client software automatically generates gets the daily record daily record of taking pictures ready, can comprise terminal device while taking pictures in this daily record of taking picturesLatitude and longitude information and the time of taking pictures, in the time that terminal device is connected to network, terminal device is automatically by client softwareIn receiver during the multiple daily records of taking pictures that generate upload onto the server, server divides multiple daily records of taking picturesGroup, server is in 27 daily records of taking pictures of receiving altogether for three days in August 1 to August 3, and server is by above-mentioned 27The daily record of taking pictures is divided into 3 groups according to the time interval of one day, and as shown in following table one, server is August one by photo opporunityDay 8 daily records of taking pictures be divided into first group, be that 9 daily records of taking pictures on August 2 are divided into second group by photo opporunity,Be that 10 daily records of taking pictures on August 3 are divided into the 3rd group by photo opporunity.
Table one
| Photo opporunity | The daily record of taking pictures |
| August 1 | 8 daily records of taking pictures |
| August 2 | 9 daily records of taking pictures |
| August 3 | 10 daily records of taking pictures |
Processor 101, for the daily record of taking pictures of recording in each time slice is carried out to cluster according to pre-defined rule,To multiple cluster set.
Particularly, the processor 101 in server can be by (the note in each time slice of the daily record of taking pictures in each groupThe daily record of taking pictures of record) carry out cluster according to pre-defined rule, generate multiple cluster set, above-mentioned multiple cluster set are passableFor multiple cluster centres, the multiple daily records of taking pictures that comprise in each cluster set have similitude. Alternatively, above-mentionedThe number of the daily record of taking pictures comprising in each cluster set is at least 2.
The daily record of taking pictures of still uploading taking server to process terminal equipment is below as example, and the processor 101 of server is by table oneIn each group in the daily record of taking pictures carry out cluster according to pre-defined rule, generate multiple cluster set (cluster centre), asShown in Fig. 3, server is that cluster is carried out in 8 daily records of taking pictures in August 1 to time slice, according to pre-set pattern8 are taken pictures and are divided into two cluster set, in cluster set unification, comprise three three bats with similar positional informationAccording to daily record, in cluster set two, comprise four daily records of taking pictures with similar positional information. The processor 101 of serverThe group of remaining two in his-and-hers watches 1 is carried out cluster after the same method, generates multiple cluster set to each group.
Alternatively, processor 101 is also for identifying appointed area according to the associated region of each cluster set.
Particularly, the processor 101 in server can obtain the associated region of above-mentioned each cluster set, hereIt should be noted that, because the daily record of taking pictures in each cluster set comprises shooting places, when terminal device is taken picturesResiding longitude and latitude, server can be determined a region according to the multiple longitudes and latitudes in each cluster set, shouldRegion is the associated region of above-mentioned each cluster set, and server can obtain each timeslice according to said methodAppointed area is then identified in the associated region of cluster set of section from multiple regions, alternatively, above-mentioned everyThe associated region of cluster set of individual time slice can be region, doubtful sight spot, and above-mentioned appointed area can be sight spotRegion.
The daily record of taking pictures of still uploading taking server to process terminal equipment is below as example, and server can obtain in table oneThe GPS information (latitude and longitude information) of three daily records of taking pictures in the cluster set unification in a group, then according to three batsDetermine a region according to the GPS information of daily record, for example, the warp of three daily records of taking pictures in above-mentioned cluster set unificationLatitude is respectively 39 ° of north latitude, 116 ° of east longitudes, and 40 ° of north latitude, 117 °, Tokyo, 41 ° of north latitude, 118 °, Tokyo,Server can determine that it is 39 ° to 41 ° of north latitude that cluster set is unified associated region, 116 ° to 118 °, Tokyo,In the following embodiments, the application is by 39 ° to 41 ° of north latitude, and the region that Tokyo is 116 ° to 118 ° is called A districtTerritory, in conjunction with Fig. 3, server determines that by same method the associated region of cluster set two is B region and tableMultiple regions of cluster set associative in second group in, the 3rd group. Then, server can be from above-mentioned manyIn individual region, identify region, sight spot.
In the disclosed scheme of the above embodiments of the present application four, if electronic chart manufacturer wants to identify scape on electronic chartPut region, can carry out by client software the event of taking pictures of monitor terminal equipment, then terminal device is according to taking pictures thingPart generates the daily record of taking pictures, and multiple daily records of taking pictures that server receiving terminal apparatus is uploaded, according to pre-defined rule during to differenceBetween the daily record of taking pictures of fragment carry out cluster, generate multiple cluster set, server is again according to each cluster set associativeRegion, sight spot is identified in region. Easily notice, because this programme identifies sight spot district by client and serverTerritory, finally can obtain the geographical position in region, sight spot, therefore, and the scheme providing by the embodiment of the present invention, nothingNeed expend the GPS information that a large amount of man power and materials goes to gather sight spot on the spot, meanwhile, this programme utilizes machine without supervisionLearning method is identified sight spot, do not need artificial realization to distinguish and collect sight spot, and this programme can be based on useFamily agenda is analyzed and is excavated the daily record of taking pictures, and has avoided artificial mark assistant director's the subjective impact of individual, weThe real-time calculation and analysis of case based on user's agenda data, also can avoid the hysteresis quality of artificial mask method, takes picturesIn daily record, also can embody the Seasonal at sight spot. The scheme of above-described embodiment four that thus, the application provides solvesExisting sight spot recognition technology need to manually go to go to identify region, the sight spot accuracy rate long, identification that expends time on the spotLow technical problem.
Embodiment 5
The embodiment of the present invention also provides a kind of smart machine, and as shown in figure 11, this smart machine can comprise:
Monitor 110, for monitoring the daily record of taking pictures of recording in each time slice, wherein, the daily record of taking pictures is at least wrappedDraw together: shooting places.
Particularly, this smart machine can be the terminal devices such as smart mobile phone, panel computer, claps at terminal deviceAfter event, automatically generate the daily record of taking pictures of record in each time slice, this daily record of taking pictures can comprise that terminal establishesStandby place of taking pictures.
Transceiver 111, for by the Log Sender of taking pictures recording in the each time slice listening to server to obtainGet appointed area, wherein, appointed area by server by the daily record of taking pictures of recording in each time slice according to pre-set patternCarry out cluster, obtain multiple cluster set, and obtain according to the associated region identification of each cluster set.
Particularly, first, server, can be to above-mentioned after receiving multiple daily records of taking pictures that terminal device uploadsThe section of cutting apart at certain hour interval is carried out in multiple daily records of taking pictures, server by above-mentioned multiple daily records of taking pictures according to multipleTime slice divides into groups, and each group comprises multiple daily records of taking pictures that photo opporunity belongs to same time fragment. Above-mentioned batCan be for terminal device be in the place of the event of taking pictures according to place, i.e. terminal device residing geography in the time taking picturesPosition. Terminal device can be by the above-mentioned Log Sender of taking pictures to server, by server to multiple daily records place of taking picturesReason. Then, server can be pressed the daily record of taking pictures in each group (daily record of taking pictures of record in each time slice)Carry out cluster according to pre-defined rule, generate multiple cluster set, above-mentioned multiple cluster set can be multiple cluster centres,The multiple daily records of taking pictures that comprise in each cluster set have similitude. Alternatively, institute in above-mentioned each cluster setThe number of the daily record of taking pictures comprising is at least 2. Then it is associated that, server can obtain above-mentioned each cluster setRegion, it should be noted that here, because the daily record of taking pictures in each cluster set comprises shooting places, eventuallyResiding longitude and latitude when end equipment is taken pictures, server can be determined according to the multiple longitudes and latitudes in each cluster setA region, this region is the associated region of above-mentioned each cluster set, server can obtain according to said methodGet the associated region of cluster set of each time slice, then from multiple regions, identify appointed area, canSelection of land, the associated region of cluster set of above-mentioned each time slice can be region, doubtful sight spot, above-mentioned designation areaTerritory can be region, sight spot. Finally, server can be sent to the appointed area of identifying above-mentioned transceiver 111.
Obtain appointed area as example taking smart machine below, multiple smart machines (terminal device) in different location respectivelyTake pictures, the client software in terminal device in the situation that monitoring terminal device at every turn and taking pictures event,Client software automatically generates gets the daily record daily record of taking pictures ready, can comprise terminal device while taking pictures in this daily record of taking picturesLatitude and longitude information and the time of taking pictures, in the time that terminal device is connected to network, terminal device is automatically by client softwareThe multiple daily records of taking pictures that generate upload onto the server, and server divides into groups to multiple daily records of taking pictures, and server existsAugust 1 to August 3 within three days, receive altogether 27 daily records of taking pictures, server by above-mentioned 27 take pictures daily record according toThe time interval of one day is divided into 3 groups, and as shown in following table one, server is that 8 of August 1 take pictures by photo opporunityDaily record is divided into first group, is that 9 daily records of taking pictures on August 2 are divided into second group by photo opporunity, by photo opporunity is10 daily records of taking pictures on August 3 are divided into the 3rd group. Server by the daily record of taking pictures in each group in table one according in advanceSet pattern is carried out cluster, generates multiple cluster set (cluster centre), and as shown in Figure 3, server to time slice isCluster is carried out in 8 daily records of taking pictures in August 1, and according to pre-defined rule, 8 are taken pictures and are divided into two cluster set,In cluster set unification, comprise three three daily records of taking pictures with similar positional information, in cluster set two, comprise and there is phaseLike four daily records of taking pictures of positional information. The server after the same method group of remaining two in his-and-hers watches 1 gathersClass, generates multiple cluster set to each group. Server can obtain the cluster set in first group in table oneThe GPS information (latitude and longitude information) of three daily records of taking pictures in, then comes according to the GPS information of three daily records of taking picturesDetermine a region, for example, the longitude and latitude of three daily records of taking pictures in above-mentioned cluster set unification is respectively 39 ° of north latitude,116 ° of east longitudes, 40 ° of north latitude, 117 °, Tokyo, 41 ° of north latitude, 118 °, Tokyo, server can be determined clusterGathering an associated region is 39 ° to 41 ° of north latitude, 116 ° to 118 °, Tokyo, in the following embodiments,The application is by 39 ° to 41 ° of north latitude, and the region that Tokyo is 116 ° to 118 ° is called a-quadrant, in conjunction with Fig. 3, and serviceDevice determines that by same method the associated region of cluster set two is second group, in B region and table oneMultiple regions of cluster set associative in three groups. Then, server can identify scape from above-mentioned multiple regionsPoint region. Finally, server is sent to region, sight spot the transceiver of smart machine.
Table one
| Photo opporunity | The daily record of taking pictures |
| August 1 | 8 daily records of taking pictures |
| August 2 | 9 daily records of taking pictures |
| August 3 | 10 daily records of taking pictures |
Display 112, for receiving and showing appointed area.
Particularly, display 112 is receiving behind appointed area, can be on electronic chart to appointed area (for exampleRegion, sight spot) mark.
In the disclosed scheme of the above embodiments of the present application five, if electronic chart manufacturer wants to identify scape on electronic chartPut region, can carry out by client software the event of taking pictures of monitor terminal equipment, then terminal device is according to taking pictures thingPart generates the daily record of taking pictures, and multiple daily records of taking pictures that server receiving terminal apparatus is uploaded, according to pre-defined rule during to differenceBetween the daily record of taking pictures of fragment carry out cluster, generate multiple cluster set, server is again according to each cluster set associativeRegion, sight spot is identified in region. Easily notice, because this programme identifies sight spot district by client and serverTerritory, finally can obtain the geographical position in region, sight spot, therefore, and the scheme providing by the embodiment of the present invention, nothingNeed expend the GPS information that a large amount of man power and materials goes to gather sight spot on the spot, meanwhile, this programme utilizes machine without supervisionLearning method is identified sight spot, do not need artificial realization to distinguish and collect sight spot, and this programme can be based on useFamily agenda is analyzed and is excavated the daily record of taking pictures, and has avoided artificial mark assistant director's the subjective impact of individual, weThe real-time calculation and analysis of case based on user's agenda data, also can avoid the hysteresis quality of artificial mask method, takes picturesIn daily record, also can embody the Seasonal at sight spot. The scheme of above-described embodiment five that thus, the application provides solvesExisting sight spot recognition technology need to manually go to go to identify region, the sight spot accuracy rate long, identification that expends time on the spotLow technical problem.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
In the above embodiment of the present invention, the description of each embodiment is all emphasized particularly on different fields, in certain embodiment, do not haveThe part describing in detail, can be referring to the associated description of other embodiment.
In the several embodiment that provide in the application, should be understood that disclosed client can be passed through otherMode realizes. Wherein, device embodiment described above is only schematically, the division of for example unit, onlyDivide for a kind of logic function, when actual realization, can have other dividing mode, for example multiple unit or assembly are passableIn conjunction with or can be integrated into another system, or some features can ignore, or do not carry out. Another point, shownOr discuss coupling each other direct-coupling or communication connection can be by some interfaces, unit or moduleINDIRECT COUPLING or communication connection can be electrical or other form.
The described unit as separating component explanation can or can not be also physically to separate, aobvious as unitThe parts that show can be or can not be also physical locations, can be positioned at a place, or also can be distributed toOn multiple NEs. Can select according to the actual needs some or all of unit wherein to realize the present embodimentThe object of scheme.
In addition, the each functional unit in each embodiment of the present invention can be integrated in a processing unit, also canBe that the independent physics of unit exists, also can be integrated in a unit two or more unit. Above-mentioned integratedUnit both can adopt hardware form realize, also can adopt SFU software functional unit form realize.
If described integrated unit is realized and during as production marketing independently or use using the form of SFU software functional unit,Can be stored in a computer read/write memory medium. Based on such understanding, technical scheme essence of the present inventionOn the part that in other words prior art contributed or this technical scheme all or part of can be with software productForm embodies, and this computer software product is stored in a storage medium, comprises that some instructions are in order to make onePlatform computer equipment (can be personal computer, server or the network equipment etc.) is carried out each embodiment institute of the present inventionState all or part of step of method. And aforesaid storage medium comprises: USB flash disk, read-only storage (ROM, Read-OnlyMemory), random access memory (RAM, RandomAccessMemory), portable hard drive, magnetic disc or CDEtc. various media that can be program code stored.
The above is only the preferred embodiment of the present invention, it should be pointed out that the ordinary skill people for the artMember, under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvement and profitDecorations also should be considered as protection scope of the present invention.
Claims (13)
1. the take pictures processing method of daily record, is characterized in that, comprising:
Obtain the daily record of taking pictures of record in each time slice, wherein, described in the daily record of taking pictures at least comprise: take picturesPlace;
The daily record of taking pictures of recording in described each time slice is carried out to cluster according to pre-defined rule, obtain multiple poly-Class set;
Identify appointed area according to the associated region of each described cluster set.
2. method according to claim 1, is characterized in that, by taking pictures day of recording in described each time sliceWill is carried out cluster according to pre-defined rule, obtains multiple cluster set and comprises:
By in described each time slice, record multiple described in the daily record of taking pictures carry out the cluster based on level, set upDescribed multiple cluster set, wherein, two the above daily records of taking pictures of each described cluster set-inclusion.
3. method according to claim 2, is characterized in that, according to the associated region of each described cluster setIdentifying appointed area comprises:
Obtain two the above daily records of taking pictures of each described cluster set-inclusion;
Determine the region of each described cluster set associative according to the shooting places of two the above daily records of taking pictures;
Statistics is at multiple time slices number of times that the associated region of cluster set occurs described in any one;
Be defined as region, sight spot by exceeding with the number of times occurring the region that the described cluster set of first threshold is associated.
4. method according to claim 1, is characterized in that, obtaining taking pictures day of recording in each time sliceBefore will, described method also comprises:
Receive the daily record of taking pictures described in multiple that multiple terminal devices send, wherein, described terminal device is in each inspectionMeasure after the event of taking pictures occurs, generate described in the daily record of taking pictures.
5. method according to claim 3, is characterized in that, will exceed the institute of first threshold with the number of times occurringState after region that cluster set is associated is defined as region, sight spot, described method also comprises:
On electronic chart, the place in region, described sight spot is marked.
6. the take pictures treating apparatus of daily record, is characterized in that, described device comprises:
Acquiring unit, for obtaining the daily record of taking pictures of recording in each time slice, wherein, described in the daily record of taking picturesAt least comprise: shooting places;
Cluster cell, for gathering the daily record of taking pictures of recording in described each time slice according to pre-defined ruleClass, obtains multiple cluster set;
Recognition unit, for identifying appointed area according to the associated region of each described cluster set.
7. device according to claim 6, is characterized in that, described cluster cell comprises:
Set up module, for by described each time slice, record multiple described in the daily record of taking pictures carry out based on layerInferior cluster, sets up described multiple cluster set, wherein, two of each described cluster set-inclusions the aboveThe daily record of taking pictures.
8. device according to claim 7, is characterized in that, described recognition unit comprises:
Acquisition module, for obtaining two the above daily records of taking pictures of each described cluster set-inclusion;
Determination module, for determining each described cluster set according to the shooting places of two the above daily records of taking picturesClose associated region;
Statistical module, for adding up in multiple time slices associated region institute of cluster set described in any oneThe number of times occurring;
Determination module, for exceeding the region that the described cluster set of first threshold is associated with the number of times occurringBe defined as region, sight spot.
9. device according to claim 6, is characterized in that, described device also comprises:
Receiving element, for receiving the daily record of taking pictures described in multiple that multiple terminal devices send, wherein, described endEnd equipment detect at every turn after the event of taking pictures occurs, generate described in the daily record of taking pictures.
10. device according to claim 8, is characterized in that, described recognition unit also comprises:
Labeling module, for marking the place in region, described sight spot on electronic chart;
Sending module, for being sent to multiple terminal devices by the described electronic chart after mark.
The treatment system of 11. 1 kinds of daily records of taking pictures, is characterized in that, described system comprises:
Client, for generating the daily record of taking pictures detecting after the event of taking pictures occurs, wherein, described in the daily record of taking picturesAt least comprise: shooting places;
Service end, sets up correspondence with described client, for obtain in each time slice, record described inThe daily record of taking pictures;
Described service end is also for carrying out the daily record of taking pictures of recording in described each time slice according to pre-defined ruleCluster, obtains multiple cluster set;
Described service end is also for identifying appointed area according to the associated region of each described cluster set.
12. 1 kinds of servers, is characterized in that, comprising:
Receiver, for obtaining the daily record of taking pictures of recording in each time slice, wherein, described in take pictures daily record extremelyComprise less: shooting places;
Processor, for the daily record of taking pictures of recording in described each time slice is carried out to cluster according to pre-defined rule,Obtain multiple cluster set;
Described processor is also for identifying appointed area according to the associated region of each described cluster set.
13. 1 kinds of smart machines, is characterized in that, comprising:
Monitor, for monitoring the daily record of taking pictures of recording in each time slice, wherein, described in take pictures daily record extremelyComprise less: shooting places;
Transceiver, for by the Log Sender of taking pictures recording in the described each time slice listening to serverTo obtain appointed area, wherein, described appointed area by described server by record in described each time sliceThe daily record of taking pictures carry out cluster according to pre-defined rule, obtain multiple cluster set, and according to each described cluster setClosing associated region identification obtains;
Display, for receiving and showing described appointed area.
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| CN201510791043.0A CN105608109A (en) | 2015-11-16 | 2015-11-16 | Photographic log processing method, apparatus and system, server and intelligent device |
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| CN201510791043.0A CN105608109A (en) | 2015-11-16 | 2015-11-16 | Photographic log processing method, apparatus and system, server and intelligent device |
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