CN102915326A - Mobile terminal scenery identifying system based on GPS (Global Positioning System) and image search technique - Google Patents
Mobile terminal scenery identifying system based on GPS (Global Positioning System) and image search technique Download PDFInfo
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Abstract
The invention discloses a mobile terminal scenery identifying system based on a GPS (Global Positioning System) and an image search technique and relates to the field of geographical position information and technical field of image searching. The system is a novel scenery identifying system in which a traditional GPS position positioning method and a content-based image search technique are combined together to be used for identifying scenery of a mobile terminal, and the precision in identification is greatly improved. Under the situation that the GPS information is obtained incorrectly or even cannot be obtained, a user can still identify the scenery by using the image search technique in the system; and meanwhile, with the adoption of the system, the application development of the mobile terminal in the tourism industry and the transmission of the history and culture of sceneries are promoted.
Description
Technical field
The present invention relates to geographical location information field and image seek technology field, combination is thought in GPS position and image seek technology, developed the scenery identification application system on a kind of portable terminal.
Background technology
Along with the progress of GPS technology on the market and the reduction of cost, carry the GPS locating module on the mobile terminal device at present more and more general.Add present architecture and Wifi locator meams, the precision of mobile phone location is also more and more higher.The application service based on mobile phone location that causes thus is also more and more.Referred to as LBS (Location Based Service).But mainly also rest on based on the application of LBS on the portable terminal at present and register, make friends and purchase by group etc.These accuracy requirements of using to GPS are not very high, generally all are only limited to the good friend within tens meters of finding nearbies or the hundreds of rice scope.On the tourist market, also obtained preliminary application based on the self-help guide of cellphone GPS module.
There are in the market several typical search engines, such as Baidu, Google, Bing etc.The user searches for by inputting interested text.This engine be only applicable to the user very clear and definite know oneself want the key word inquired about.When people can't describe the content of inquiring about with literal is definite, perhaps need very efficiently when obtaining very accurately own interested content, it is more unable that this engine just seems.
For this reason, the search engine based on picture material has obtained preferably development.External release the earliest this type of service such as Tineye, www.tinyeye.com just is based on the example that picture material is retrieved, the user uploads a pictures, searches out on the internet all and the input figure near picture of repetition visually, can be used for copyright maintenance etc.Google and Baidu also released one after another oneself to scheme to search the figure engine.Input mode all is to upload a figure, then returns and the same or analogous result of input figure content.This class engine has remedied the deficiency of literal engine, and the user does not need the advanced style of writing of finding image WD is carried out text search again, but directly allows computing machine that picture material is understood and finish search.Depend on the size of engine backstage image library on the fine or not part degree of Search Results, simultaneously also relevant with the deformation of search target.Deformation is larger, and the difficulty that searches out same target is larger.
When the visitor plays at the scenic spot, not only can enjoy beautiful natural land, also can touch the history culture at a lot of scenic spots.And if then travel party's tourism, the guide is general, and explanation is all more rough, only can relate to some more famous sight spots.And because large contingent, the explanation effect is not good yet.The visitor often just takes a group photo with the sight spot, takes several photo to show " having visited this place ".On the contrary, the most valuable humanity history knowledge in scenic spot but is difficult to effectively be propagated.Even if having relatively visitor diligently want to search for the background origin of certain pavilion or statue, sometimes also be unable to do what one wishes, or do not know the title at sight spot, or be not familiar with the font on the pavilion.Help the visitor easily to obtain interested sight spot knowledge, help the scenic spot to carry out the starting point that better cultural spreading is this patent.
Summary of the invention
Present scenic spot guide system is to rely on the GPS locating information fully, utilizes first the acquisition for mobile terminal positional information to mate nearest sight spot in the location library of sight spot again and returns.Do not consider that GPS precision itself easily is subject to weather, the impact of blocking etc.Under the best circumstances, its precision also can only navigate to larger position, sight spot, can not accurately distinguish relatively more contiguous several little sight spot, be at " Xiling Seal Society " sight spot such as navigating to the position, but then can't distinguish for two the adjacent different pavilions in the inside, sight spot.
For this reason, we utilize GPS position and sight spot image as input, and when the visitor took interested sight spot picture and uploads, we merged GPS position location information and image seek technology, the title of returning this sight spot of precise and high efficiency and its detailed recommended information.It is a kind of novel Geographic mapping mode that image seek technology is applied to sight spot identification.The GPS locator meams that itself and tradition is ripe combines, and can obtain higher precision.
The present invention takes following steps as technical scheme.
1) at first, sets up the GPS location database at sight spot.
In order to make up this database, we need to gather the actual GPS position at each sight spot, comprise longitude and dimension coordinate.We adopt handhold GPS equipment, and actual position data is just recorded at every sight spot, and then arrangement is added in the database.Because the effect that GPS is positioned in this system is the image seek technology in secondary combined later stage, so not high to its position accuracy demand.
2) set up the raw data base that contains a large amount of sight spots image.
For setting up image data base, we remove manually to gather the image at each sight spot on the spot.In order to guarantee the rich of sample, we need to collect the image under the different angles, different scale, different illumination conditions at each sight spot.In the actual acquisition, the amount of images at most of sight spot is at 50～100.
3) according to sight spot image calculation characteristics of image, make up characteristics of image storehouse, sight spot.
For the characteristics of building landscape class image, what can be used for doing the feature statement has color, shape, a composition etc.Consider that the feature of extracting must be in different light, different scale, all has preferably robustness under the different geometric deformations, we have chosen and have used very widely sift feature, Sift feature itself all has unchangeability to dimensional variation and rotation, simultaneously partial occlusion is also had certain robustness.Every width of cloth image in the scenic focal point dot image storehouse extracts the sift feature, then is stored in the image feature base.Every width of cloth image is all recorded its corresponding sight spot numbering, is used for follow-up search coupling.
4) set up the sight spot information Query Database.
This database is organized according to the index number at sight spot, and corresponding each sight spot numbering is stored positive criteria image and the detailed recommended information at this sight spot.Its detailed recommended information comprises sight spot title, origin, humane story etc.This database is used for then returning to client according to the sight spot numbering inquiry sight spot information of GPS and picture search return results.
5) build the B/S structure platform, provide based on the sight spot identification of uploading pictures to the user and serve.
Various databases are placed on server end, and mobile client is set up a terrace at entrance, make things convenient for user's photographic images to upload, and perhaps select image to upload identification from the local media storehouse.Client also GPS information of transmission terminal in the meeting when uploading pictures.Server end is determined the sight spot probable ranges according to the GPS information uploaded, and the recycling image seek technology precisely mates and obtains the sight spot numbering the most similar to input figure.Number the recommended information of inquiring about the sight spot in the sight spot information database according to the sight spot, return results is presented at client.
6) in the retrieving, GPS result and picture search result merge.
We adopt the mode of ballot to two kinds of results' convergence strategy.Each result votes to its corresponding sight spot numbering according to its degree of confidence size, gets the ballot maximal value as return results.Consider not accuracy and the accuracy of picture search on visual similarity of GPS return results.We have given respectively different weights to two types result.GPS result's weight is made as 0.4, and picture search result's weight is made as 0.6.During ballot resultful ballot value to multiply by first under the weight of type.
The invention has the beneficial effects as follows: as a kind of novel scenery recognition system, traditional GPS location positioning method and content-based image seek technology are combined, greatly improved the fixation and recognition precision.In the situation that the GPS acquisition of information is forbidden even can't be obtained, the user still can utilize the image seek technology in this system to carry out the identification of scenery.Simultaneously, the present invention will promote portable terminal in the application development of tourism industry and the propagation of sight spot history culture.
Description of drawings
Description of drawings comprises:
Fig. 1: system framework figure
Fig. 2: return near sight spot process flow diagram based on gps coordinate
Fig. 3: based on image seek technology sight spot identification process figure
Fig. 4: merge process flow diagram based on GPS result and picture search result
Embodiment:
The below with piece image and gps coordinate thereof as input, the further step of detailed explanation system of the present invention by reference to the accompanying drawings.The framework of whole system and flow process are as shown in Figure 1.For input picture and gps coordinate, computed image analog result and GPS are apart from close result respectively.The fusion of again two types result being voted is got the sight spot numbering of votes maximum as recognition result.Go to inquire about in the sight spot information database according to the sight spot numbering, the recommended information of will being correlated with turns back to mobile client.
Locate as shown in Figure 2 position based on GPS.It mainly is the calculation of longitude ﹠ latitude distance according to gps coordinate.In order to improve search efficiency, filter out first those obvious remote coordinates, the sight spot of latitude coordinate in certain little threshold value of namely only learning from else's experience.Calculate at last the degree of confidence at each sight spot by distance, merge for follow-up ballot.
Sight spot based on image seek technology is identified as shown in Figure 3.For input picture, extract first the sift feature, again with the characteristics of image storehouse in characteristics of image mate, find out front m the most similar image.These images are voted to each self-corresponding sight spot, find out the highest sight spot numbering of votes as the result of picture search, calculate corresponding degree of confidence according to each ballot value simultaneously, merge for follow-up ballot.
Based on GPS result and picture search result's fusion flow process as shown in Figure 4.Rule of thumb determine first two dimensions weight factor separately.All results that two dimensions are returned calculate respectively its degree of confidence and multiply by weight factor and be worth as ballot, to all sight spots ballots.Count the highest sight spot numbering of ballot value as return results.
Claims (10)
1. the portable terminal scenery identification system in conjunction with GPS and image seek technology is characterized in that, comprises the steps:
(1) makes up the scene data storehouse, comprise GPS and the characteristics of image at sight spot;
(2) set up search platform with the B/S framework in mobile client, the user can select local image or camera to take a width of cloth scene image and upload retrieval as input, obtains the sight spot numbering that identifies;
(3) according to sight spot numbering Query Database, the result is returned client.
2. portable terminal scenery identification system according to claim 1 is characterized in that, described step (1), and the step that makes up the scene data storehouse is:
(1) numbers in advance for each sight spot, gather in advance the GPS position coordinates at sight spot, make up the gps data storehouse at sight spot;
(2) take in advance the different angles at sight spot, the image of different time sections.Image is opened to hundreds of in each sight spot corresponding tens;
(3) obtain the image at sight spot after, extract characteristics of image, make up the characteristics of image storehouse at sight spot;
(4) whole scene data storehouse is made of gps data and characteristics of image two parts, shares a sight spot numbering that the overall situation is unique.
3. in the step according to claim 2 (1), described sight spot numbering adopts the natural number of regular length, guarantee that each sight spot has unique numbering and gets final product, the method of described collection scenery GPS position coordinates is: hold in advance the GPS equipment of a station symbol standard to each sight spot, record successively longitude and the latitude at each sight spot, then add in the gps data storehouse, also can directly look for Bureau of Surveying and Mapping or department of Tourism Bureau application related data.
4. in the step (2) described in according to claim 2, the method for described photographed different angles image is: regulate camera focus from the minimum to the maximum, one grade of every accent is around scene shot one circle.Owing to blocking reason, part scenery can only photograph half-turn or still less, guarantees the larger position of plying in the centre in picture, sight spot during shooting as far as possible, and described different time sections comprises morning, noon and the evening in one day, and the spring, summer, autumn and winter throughout the year.
5. in the step (3) described in according to claim 2, the characteristics of image of extraction comprises local shape and the architectural feature of image.
6. in the step (2) described in according to claim 1, described retrieving, step is:
(1) the GPS equipment by portable terminal obtains current positional information, on this positional information is uploaded onto the server, finds out in the gps data storehouse of server end with current location apart from all sight spots in the k kilometer range and corresponding phase recency thereof.
(2) scene image local or that take is uploaded onto the server end, extract characteristics of image at server end, and search and the image of input picture feature similarity in the characteristics of image storehouse, wherein, the scope in characteristics of image storehouse, it can be the characteristics of image storehouse at certain city, certain scenic spot, or the characteristics of image storehouse, sight spot around in (1) resulting GPS position, each similar image that searches out can have a similarity, then each image is voted according to similarity to own corresponding sight spot, finds out front n maximum sight spot of votes.
(3) the sight spot result that the sight spot result who the gps data storehouse is returned and picture search are returned does ballot and gets common factor, gets sight spot numbering corresponding to maximum votes and returns as final result for retrieval.
7. in the step (1) described in according to claim 6, the described method of finding out all sight spots of distance in the k kilometer range is: according to the sight spot gps coordinate calculation of longitude ﹠ latitude actual range of the gps coordinate longitude and latitude of uploading and lane database storage, distance satisfies the sight spot of threshold value k and then records its numbering, the k acquiescence gets 2, if the sight spot number very little then increase k to guarantee having at least a sight spot to be recorded, the phase recency at described sight spot is inversely proportional to distance, distance is less, the phase recency is higher, distance is larger, and the phase recency is lower.
8. in the step (2) described in according to claim 6, described image characteristic extracting method adopt with claim 5 in identical extraction algorithm, the method of search similar image is for calculating the distance between the image feature vector of depositing in input feature vector and the image library, distance thinks that both are similar during less than setting threshold, distance is less, and similarity is higher; Distance is larger, similarity is lower, each similar image that searches out has own corresponding sight spot numbering in feature database, same sight spot numbering may have that many images are searched to be gone out, each similar image is voted according to its similarity, the method of ballot is: the Image similarity that directly will have identical sight spot numbering adds up, and after having voted the sight spot is arranged from big to small according to similarity, gets front n sight spot numbering as candidate's similar sight spot.
9. in the step (3) described in according to claim 6, described method of getting common factor is: its corresponding sight spot numbering is voted according to similarity separately with GPS return results and picture search analog result, ballot described in the method for ballot and the claim 6 in the step (2) is similar, different is, the reliability of considering this result of two types itself is different, given a weight to every type, each result's similarity need multiply by its affiliated weight corresponding to type during ballot, add up again, the possibility of result that occurs simultaneously has a plurality of, get the result of accumulated value maximum as net result, when acquisition for mobile terminal-GPS information is very unreliable even obtain in the situation less than GPS information, the method that common factor is got in ballot then is degenerated to the result who directly returns based on picture search.
10. in the step (3) described in according to claim 1, the described result for retrieval that returns to mobile client comprises scenery standard picture and character introduction corresponding to this scenery that keeps in advance in the width of cloth storehouse, standard picture is generally the preferably front view (FV) of scenery of illumination condition, and character introduction mainly comprises the title, origin, humanistic background, folktale at sight spot etc.
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