CN103412938A - Commodity price comparing method based on picture interactive type multiple-target extraction - Google Patents
Commodity price comparing method based on picture interactive type multiple-target extraction Download PDFInfo
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- CN103412938A CN103412938A CN2013103682277A CN201310368227A CN103412938A CN 103412938 A CN103412938 A CN 103412938A CN 2013103682277 A CN2013103682277 A CN 2013103682277A CN 201310368227 A CN201310368227 A CN 201310368227A CN 103412938 A CN103412938 A CN 103412938A
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Abstract
The invention utilizes the characteristic that existing mobile terminals are more and more intelligent to disclose a commodity price comparing method based on picture interactive type multiple-target extraction. The commodity price comparing method comprises the steps of obtaining multiple commodity objects that interest a user in a target picture through manual framing of the user, then obtaining local pictures involved with similar commodity information of each framed commodity object in a server database through similar commodity search based on image characteristic attribute values, comparing and sorting prices of research results, displaying the prices at the positions of the framed commodities in the target picture and accordingly obtaining information on prices of multiple commodities in one target picture.
Description
Technical field
The invention belongs to the e-commerce technology field, more specifically say, relate to a kind of commodity price-comparing method extracted based on the picture interactive multiobjective.
Background technology
In ecommerce, tradition search purchase method is based on the commodity classification retrieval or keyword search is carried out, yet, because type of merchandize is various, same commodity also has multiple different model, the accuracy of retrieval or search is not high, need to check one by one retrieval or the commodity that search, like this user for the search of commodity do shopping also exist certain loaded down with trivial details.
Along with developing rapidly of ecommerce, traditional purchase method of the search based on word can not meet user's demand, commodity are based on the attraction of visual signature more to user's attraction, the user wishes just to obtain merchandise news and purchase information by the commodity picture more, can be when seeing commodity aroused in interest IMU cross hand-held terminal searching merchandise news and purchase information is done shopping.
In a pictures such as star's photo, involved commodity are often incessantly a kind of, and the pricing information that how to obtain these commodity is to need at present the problem solved.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, provide a kind of commodity price-comparing method extracted based on the picture interactive multiobjective, to obtain the pricing information of a plurality of commodity in a Target Photo.
For realizing above purpose, the present invention is based on the commodity price-comparing method that the picture interactive multiobjective is extracted, comprise the following steps:
(1), the foundation of index file
1.1), by network, crawl technology, from each large shopping website, obtain commodity picture and merchandise news, deposit in server visual signature database;
1.2), extract the characteristics of image property value of commodity picture in the visual signature database;
1.3), the characteristics of image property value is according to the classification that crawls the commodity commodity classification in shopping website obtained, the sub-category index file of setting up the commodity picture in the visual signature database, and being stored on server;
(2), the search of commodity
2.1), the user is from client, as intelligent mobile terminal, upload and want the Target Photo of searching for to server;
2.2), server provides delineating of manual multiple goal zone by client to the user, the user can be by client related a plurality of commodity object images in the Target Photo upper ledge is got Target Photo;
2.3), server extracts respectively the characteristics of image property value to a plurality of commodity object images that the user gets at client institute frame, then according to the characteristics of image property value of each commodity object images, the characteristics of image property value of commodity picture indices file carries out the similarity comparison, in server database, obtain the corresponding merchandise news of similar commodity picture, and then obtain similar commodity list r=(r
1, r
2..., r
n), the n commodity number of objects of getting for user institute frame wherein, r
iThe search result list of i the commodity object of getting for subscriber frame;
2.4), according to step 2.3) the similar commodity list r that obtains, to all search result list r in r
iCarry out respectively rate of exchange sequence and obtain the new (R of R=as a result
1, R
2... R
n), wherein, R
iThe merchandise news list of i the commodity object of getting for subscriber frame after by rate of exchange sequence;
2.5), the R as a result that will obtain returns to client, and by the merchandise news list R after rate of exchange sequence
iBe illustrated in the commodity object side that i frame of Target Photo got.
The object of the present invention is achieved like this:
The present invention utilizes the more and more intelligentized characteristics of present mobile terminal, has proposed this commodity price-comparing method extracted based on the picture interactive multiobjective.This commodity price-comparing method can be got by the manual frame of user, obtain the interested a plurality of commodity objects of user in Target Photo, the commodity object of again each frame being fetched is used the similar merchandise news that obtains the local related commodity object of picture based on the similar commercial articles searching of characteristics of image property value in server database, then Search Results is carried out after rate of exchange sequence being illustrated in Target Photo being got on the position of commodity by frame, thereby obtain the pricing information of a plurality of commodity in a Target Photo.
The accompanying drawing explanation
Fig. 1 is commercial articles searching one embodiment process flow diagram;
Fig. 2 is Target Photo one instantiation in the present invention;
Fig. 3 is the Target Photo after frame is got;
Fig. 4 is the commodity object images that frame is got;
Fig. 5 is the target image of displaying merchandise information list;
Fig. 6 is another Target Photo of displaying merchandise information list.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described, so that those skilled in the art understands the present invention better.Requiring particular attention is that, in the following description, when perhaps the detailed description of known function and design can desalinate main contents of the present invention, these were described in here and will be left in the basket.
Fig. 1 is commercial articles searching one embodiment process flow diagram.
In the present embodiment, as shown in Figure 1, commercial articles searching comprises the following steps:
S1: the original image that the user uploads by intelligent mobile terminal be Target Photo as shown in Figure 2, the commodity that wherein comprise have cap, glasses, necklace.
S2: utilize the more and more intelligentized characteristics of mobile terminal, the user can carry out manual frame to the commodity object in uploading Target Photo and get on intelligent mobile terminal such as smart mobile phone, and the Target Photo after frame is got as shown in Figure 3.In Fig. 2, the commodity object that subscriber frame is got has cap, glasses and necklace, is numbered respectively 1～3.
S3: the frame marked according to the user, based on this, server can obtain commodity object images to be searched as shown in Figure 4, and wherein Fig. 4-(1) is target commodity caps, Fig. 4-(2) are target commodity glasses, and Fig. 4-(3) are target commodity necklaces.
Utilize picture feature extraction module in server to extract the characteristics of image property value of commodity object, in the present embodiment, with the CEDD(Color and Edge Directivity Descriptor of commodity object images) be characterized as example.
The CEDD feature of the commodity object images that use obtains is searched for similar commodity picture in the commodity picture indices file that establishes and be kept on server, and in server database, obtain the corresponding merchandise news of similar commodity picture, can obtain the list r=(r of similar commodity
1, r
2, r
3).
S4: the similar commodity list r obtained, to all search result list r in r
iCarry out respectively rate of exchange sequence and obtain the new (R of R=as a result
1, R
2... R
n).
S5: R is as a result returned to client by WLAN/GPRS/3G after the server end compression, the client decompress(ion) carries out the compressed package of the Search Results merchandise news list that decompress(ion) returns, the Search Results R that can show that obtains of client like this, and by rate of exchange ranking results R
iBe illustrated in the commodity object side that i frame of Target Photo got.Display form as shown in Figure 5, the resulting merchandise news list R that the decompress(ion) server returns in A, B, C place show respectively
1, R
2, R
3In.Merchandise news comprises picture and the details such as commodity parameter, price of commodity.
In the present embodiment, extracting the characteristics of image property value is:
S051. obtain the RGB color attribute value of commodity picture or commodity object images;
S052. in the present embodiment, the commodity picture used or the feature of commodity object images are calculated under the hsv color model, so needed the RGB color attribute of the commodity picture first step S051 obtained or commodity object images to convert the property value under corresponding HSV model to before the characteristics of image property value that calculates the commodity picture;
With r, g, b, mean respectively the R in the RGB color model, G, the B color attribute value, max means the maximal value in r, g, b, min means the minimum value in r, g, b, H in the HSV model, S, color attribute value h, s, the v of tri-dimensions of V are respectively:
v=max
Wherein, the scope of h is [0,360], and the scope of s and v is [0,1];
S053. use commodity picture after color model conversion or the hsv color property value of commodity object images to extract the characteristic attribute value, in the present embodiment, the picture feature of using color characteristic and edge feature to combine, extraction can be carried out according to the CEDD algorithm.
When calculating commodity picture feature property value, at first calculate the color feature vector C=(c of commodity picture
1, c
2..., c
i), then calculate the edge feature vector F=(f of picture
1, f
2..., f
j), the characteristic attribute value of commodity picture is X=(c with vector representation
1, c
2..., c
i, f
1, f
2..., f
j), wherein, i means the quantity of color characteristic, j means edge feature quantity.
The extraction of commodity picture feature property value is for the search of setting up picture indices file and similar commodity picture provides the image content characteristic information, and the user, when carrying out the similar pictures search, calculates the similarity of commodity picture with the following method:
T
mn=t(X
m,X
n)=(X
m TX
n)/(X
m TX
n+X
m TX
n-X
m TX
n)
X wherein
m, X
nThe image feature value that means respectively two width commodity pictures to be compared is the proper vector of content characteristic, T
MnThe proper vector of denoting contents feature is X
m, X
nThe similarity of two width commodity pictures.
Fig. 6 is another Target Photo of displaying merchandise information list.
As shown in Figure 6, in the present embodiment, comprise cap, scarf and baby, and in other trade name, commodity price and the commodity material etc. of having showed of every commodity.
Although the above is described the illustrative embodiment of the present invention; so that those skilled in the art understand the present invention; but should be clear; the invention is not restricted to the scope of embodiment; to those skilled in the art; as long as various variations appended claim limit and the spirit and scope of the present invention determined in, these variations are apparent, all utilize innovation and creation that the present invention conceives all at the row of protection.
Claims (2)
1. commodity price-comparing method extracted based on the picture interactive multiobjective comprises the following steps:
(1), the foundation of index file
1.1), by network, crawl technology, from each large shopping website, obtain commodity picture and merchandise news, deposit in server visual signature database;
1.2), carry the characteristics of image property value of commodity picture in the visual signature database;
1.3), the characteristics of image property value is according to the classification that crawls the commodity commodity classification in shopping website obtained, the sub-category index file of setting up the commodity picture in the visual signature database, and being stored on server;
(2), the search of commodity
2.1), the user is from client, as intelligent mobile terminal, upload and want the Target Photo of searching for to server;
2.2), server provides delineating of manual multiple goal zone by client to the user, the user can be by client related a plurality of commodity object images in the Target Photo upper ledge is got Target Photo;
2.3), server extracts respectively the characteristics of image property value to a plurality of commodity object images that the user gets at client institute frame, then according to the characteristics of image property value of each commodity object images, the characteristics of image property value of commodity picture indices file carries out the similarity comparison, in server database, obtain the corresponding merchandise news of similar commodity picture, and then obtain similar commodity list r=(r
1, r
2..., r
n), the n commodity number of objects of getting for user institute frame wherein, r
iThe search result list of i the commodity object of getting for subscriber frame;
2.4), according to step 2.3) the similar commodity list r that obtains, to all search result list r in r
iCarry out respectively rate of exchange sequence and obtain the new (R of R=as a result
1, R
2... R
n), wherein, R
iThe merchandise news list of i the commodity object of getting for subscriber frame after by rate of exchange sequence;
2.5), the R as a result that will obtain returns to client, and by the merchandise news list R after rate of exchange sequence
iBe illustrated in the commodity object side that i frame of Target Photo got.
2. search purchase method according to claim 1, is characterized in that, described extraction characteristics of image property value is:
S051. obtain the RGB color attribute value of commodity picture or commodity object images;
S052. in the present embodiment, the commodity picture used or the feature of commodity object images are calculated under the hsv color model, so needed the RGB color attribute of the commodity picture first step S051 obtained or commodity object images to convert the property value under corresponding HSV model to before the characteristics of image property value that calculates the commodity picture;
With r, g, b, mean respectively the R in the RGB color model, G, the B color attribute value, max means the maximal value in r, g, b, min means the minimum value in r, g, b, H in the HSV model, S, color attribute value h, s, the v of tri-dimensions of V are respectively:
v=max
Wherein, the scope of h is [0,360], and the scope of s and v is [0,1];
S053. use commodity picture after color model conversion or the hsv color property value of commodity object images to extract the characteristic attribute value, in the present embodiment, the picture feature of using color characteristic and edge feature to combine, extraction can be carried out according to the CEDD algorithm;
When calculating commodity picture feature property value, at first calculate the color feature vector C=(c of commodity picture
1, c
2..., c
i), then calculate the edge feature vector F=(f of picture
1, f
2..., f
j), the characteristic attribute value of commodity picture is X=(c with vector representation
1, c
2..., c
i, f
1, f
2..., f
j), wherein, i means the quantity of color characteristic, j means edge feature quantity.
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| CN106557489A (en) * | 2015-09-25 | 2017-04-05 | 南京理工大学 | A kind of dress ornament searching method based on mobile terminal |
| CN107220109A (en) * | 2017-04-27 | 2017-09-29 | 努比亚技术有限公司 | A kind of method and apparatus of interface display |
| CN107705161A (en) * | 2017-10-25 | 2018-02-16 | 深圳市宝盒科技有限公司 | A kind of merchandise cost appraisal procedure and computer |
| CN108140201A (en) * | 2015-10-16 | 2018-06-08 | 索尼公司 | Information processing equipment, information processing method, wearable terminal and program |
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| CN110569385A (en) * | 2019-09-12 | 2019-12-13 | 湖北三六五优米网络有限公司 | Method for collecting commodity price based on commodity picture acquaintance degree technology |
| CN112053203A (en) * | 2020-08-14 | 2020-12-08 | 中国物品编码中心 | Commodity picture display method and device and storage medium |
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