CN105792010A - Television shopping method and device based on image content analysis and picture index - Google Patents
Television shopping method and device based on image content analysis and picture index Download PDFInfo
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Abstract
The invention discloses a television shopping method and device based on image content analysis and picture index. The method comprises following steps of when shopping instructions are received in the playing process of a television, automatically storing current video frames, thus obtaining screenshots; analyzing and sorting commodities contained in the screenshots; forming classification result pictures of different categories; displaying; when a user selects one category of result pictures, obtaining the picture feature information in the pictures; searching corresponding commodity links according to the picture feature information; and displaying. Through adoption of the technical scheme provided by the invention, when a user watches a program, the user can search interested commodities; the user information screening initiative is improved; diversified shopping information is provided; and it is greatly convenient for the user to shop.
Description
Technical field
The present invention relates to technical field of data processing, particularly relate to the method and apparatus of the TV shopping of image content-based parsing and picture indices.
Background technology
In the epoch that current information technology is highly developed, intelligent television spreads all over huge numbers of families already, and TV elecscreen is shown and represented tendency of the day bulk information simultaneously.Nowadays how to make full use of the information that telescreen is shown, facilitate user, become current focus subject under discussion already.As TV shopping information has great convenience for the user to a certain extent.
The shopping that existing TV provides mainly by captions form push fixing shopping information or outside video flowing the flow of information of pushed information, it is achieved the displaying of information.But there are the following problems for said method: pushed information is single；The shopping information accepting to push that user is passive, it is impossible to estimate the hobby of user；User is seeing the process of TV, and the initiative of information retrieval is restricted.
Therefore, prior art has yet to be improved and developed.
Summary of the invention
In view of above-mentioned the deficiencies in the prior art, it is an object of the invention to provide the method and apparatus of the TV shopping of image content-based parsing and picture indices, aim to solve the problem that existing TV shopping exists pushed information single, it is impossible to accept propelling movement shopping information according to the hobby of user and user profile screens the problem that initiative is restricted.
Technical scheme is as follows:
A kind of method of TV shopping, wherein, including step:
A, when TV receives shopping instruction in playing process, automatically by current video frame preserve obtain sectional drawing；
B, the article comprised in sectional drawing are carried out resolve classification, form different classes of classification results picture and show；
C, when user selects a wherein classification results picture, obtain picture feature information therein, and according to goods links corresponding to picture feature information search, be then shown.
The method of described TV shopping, wherein, described step B specifically includes:
The multidimensional characteristic vector of each pixel in B1, extraction sectional drawing；
B2, according to clustering algorithm, the multidimensional characteristic vector of each pixel obtained is classified by similarity；
B3, according to classification results, sectional drawing is cut, generates the classification results picture being target with different article.
The method of described TV shopping, wherein, described step B3 specifically includes:
B31, sectional drawing content is classified after form different classes of classification results picture；
B32, the characteristic vector of respective articles in classification results picture and existing article are carried out similarity mode, it is achieved the identification of article；
B33, each article are carried out prioritization, to be shown in order by difference classification results picture.
The method of described TV shopping, wherein, described step C specifically includes:
C1, pre-build a shopping website picture database, and regular update commodity picture information therein；
C2, when receiving classification results picture, according to picture searching algorithm, in described shopping website picture database, search for applicable item, be then shown with tabular form.
The method of described TV shopping, wherein, described step C specifically includes:
C1 ', foundation search engine, the classification results picture that user is selected scans for；
C2 ', to feedback Search Results link be filtered, will belong to the shopping website customized in advance goods links retain；
C3 ', goods links is carried out prioritization, be then shown with tabular form.
A kind of device of the TV shopping of image content-based parsing and picture indices, wherein, described device includes:
Screen capture module, for when TV receives shopping instruction in playing process, automatically preserving current video frame and obtain sectional drawing；
Sort module, for carrying out the article comprised in sectional drawing resolving classification, forms different classes of classification results picture and shows；
Search module, for when user selects a wherein classification results picture, obtaining picture feature information therein, and according to goods links corresponding to picture feature information search, is then shown.
Described image content-based parsing and the device of the TV shopping of picture indices, wherein, described sort module specifically includes:
Extraction unit, for extracting the multidimensional characteristic vector of each pixel in sectional drawing；
Taxon, for according to clustering algorithm, classifying the multidimensional characteristic vector of each pixel obtained by similarity；
Cutter unit, for according to classification results, being cut by sectional drawing, generates the classification results picture being target with different article.
Described image content-based parsing and the device of the TV shopping of picture indices, wherein, described cutter unit specifically includes:
Classification subelement, for forming different classes of classification results picture after sectional drawing content is classified；
Coupling subelement, for carrying out similarity mode by the characteristic vector of respective articles in classification results picture and existing article, it is achieved the identification of article；
Sequence subelement, for carrying out prioritization to each article, to be shown in order by difference classification results picture.
Described image content-based parsing and the device of the TV shopping of picture indices, wherein, described search module specifically includes:
Database unit, is used for pre-building a shopping website picture database regular update commodity picture information therein；
First search unit, for when receiving classification results picture, according to picture searching algorithm, searching for applicable item, be then shown with tabular form in described shopping website picture database.
Described image content-based parsing and the device of the TV shopping of picture indices, wherein, described search module specifically includes:
Second search unit, for according to search engine, the classification results picture that user is selected scans for；
Filter element, for the link of the Search Results of feedback is filtered, retains the goods links belonging to the shopping website customized in advance；
Display unit, for goods links is carried out prioritization, is then shown with tabular form.
Beneficial effect: the present invention obtains sectional drawing by being preserved by current video frame, and carry out resolving classification to the article comprised in sectional drawing, form classification results picture and show user to select, the picture that last TV selects according to user searches for corresponding goods links from shopping website automatically, then shows user.Adopt technical solution of the present invention to make user all can commodity interested be scanned for when watching program, the initiative of user profile screening can be improved, be provided that again the multiformity of shopping information, have great convenience for the user shopping.
Accompanying drawing explanation
Fig. 1 is the flow chart of the method preferred embodiment of the TV shopping of a kind of image content-based parsing of the present invention and picture indices.
Fig. 2 is the particular flow sheet of step S200 in method shown in Fig. 1.
Fig. 3 is the particular flow sheet of step S230 in method shown in Fig. 2.
Fig. 4 is the particular flow sheet of the preferred embodiment of step S300 in method shown in Fig. 1.
Fig. 5 is the particular flow sheet of another preferred embodiment of step S300 in method shown in Fig. 1.
Fig. 6 is the structured flowchart of the device preferred embodiment of the TV shopping of image content-based of the present invention parsing and picture indices.
Fig. 7 is the concrete structure block diagram of sort module in Fig. 6 shown device.
Fig. 8 is the concrete structure block diagram of cutter unit in Fig. 7 shown device.
Fig. 9 is the concrete structure block diagram of the preferred embodiment of search module in Fig. 6 shown device.
Figure 10 is the concrete structure block diagram of another preferred embodiment of search module in Fig. 6 shown device.
Detailed description of the invention
The present invention provides the method and apparatus of the TV shopping of image content-based parsing and picture indices, and for making the purpose of the present invention, technical scheme and effect clearly, clearly, the present invention is described in more detail below.Should be appreciated that specific embodiment described herein is only in order to explain the present invention, is not intended to limit the present invention.
Refer to the flow chart of the method preferred embodiment of the TV shopping that Fig. 1, Fig. 1 are a kind of image content-based parsing of the present invention and picture indices, as it can be seen, it includes step:
S100, when TV receives shopping instruction in playing process, automatically by current video frame preserve obtain sectional drawing；
S200, the article comprised in sectional drawing are carried out resolve classification, form different classes of classification results picture and show；
S300, when user selects a wherein classification results picture, obtain picture feature information therein, and according to goods links corresponding to picture feature information search, be then shown.
In embodiments of the present invention, by preserving the sectional drawing of current video frame, and carry out resolving classification to the article comprised in sectional drawing, form classification results picture and show user to select, the picture that last TV selects according to user searches for corresponding goods links from shopping website automatically, then shows user.Adopt the embodiment of the present invention to make user all can commodity interested be scanned for when watching program, the initiative of user profile screening can be improved, be provided that again the multiformity of shopping information, have great convenience for the user shopping.
In described step S100, user sending shopping instruction, television reception, after shopping instruction, namely preserves sectional drawing.For a user, its operating procedure is particularly as follows: user turns on television-viewing TV, noticing content interested on telescreen when watching TV, shopping instruction, by the shopping button on click remote controller or other control keys (such as mobile phone remote control), is sent to TV by user.When TV receives the shopping instruction that user clicks in playing process, current video frame is preserved by TV automatically, and obtains sectional drawing, and the sectional drawing of sectional drawing and article B as obtained article A, now article A and article B is not yet split.Certainly, in actual application, send shopping instruction mode also can be adjusted, for instance send shopping instruction by mobile terminal or other smart machines, with directly utilize the powerful disposal ability of mobile terminal carry out deeper into operation.
As the preferred embodiment of the present invention, as in figure 2 it is shown, described step S200 specifically includes:
The multidimensional characteristic vector of each pixel in S210, extraction sectional drawing；
In this step, extract the multidimensional characteristic vector of each pixel in sectional drawing, as extracted characteristic vector Pi(f1, the f2 of ith pixel in sectional drawing, f3 ... fn), wherein f1, f2, f3 ... fn represents the feature of different dimensions respectively, this feature can be edge, edge flex point or (R, G, B) etc.；Wherein n represents characteristic dimension, according to the requirement of accuracy, it is possible to adjust the value of dimension n.
S220, according to clustering algorithm, the multidimensional characteristic vector of each pixel obtained is classified by similarity；
In this step, according to the clustering algorithm in data mining, the multidimensional characteristic vector of each pixel obtained is classified.It is that the similarity of the characteristic vector according to each pixel is classified herein, such as the characteristic vector Pi of ith pixel, the characteristic vector Pj of jth pixel, according to inner product of vector algorithm by pixel classifications, when Pi*Pj > d, Pi and Pj is divided into a class.Finally realize each pixel in picture all to classify by similarity, obtain different classes of, as being polymerized to A class, B class.Further, it is also possible to inner product of vector algorithm for rudimentary algorithm, expanded to other similarity algorithms.
S230, according to classification results, sectional drawing is cut, generates the classification results picture being target with different article.
Such as, according to the A class generated in above-mentioned steps S220 and B class, we define A class be article A, B class is article B.Then the pixel that A class is corresponding on sectional drawing being labeled as article A, the pixel that B class is corresponding on sectional drawing is labeled as article B, sectional drawing cuts the most at last, is cut into article A and article B.Namely the pixel of A class article belongs to a class, and the pixel of B class article belongs to a class, thus realizing the segmentation of sectional drawing.
As the preferred embodiment of the present invention, as it is shown on figure 3, described step S230 specifically includes:
S231, sectional drawing content is classified after form different classes of classification results picture；
In this step, after sectional drawing content is classified, form different classes of classification results picture.Namely the A class and the B class that sectional drawing classifying content are obtained are cut, and obtain classification results picture article A and article B.
S232, the characteristic vector of respective articles in classification results picture and existing article are carried out similarity mode, it is achieved the identification of article；
In this step, the characteristic vector according to article A and article B, carry out similarity mode with existing article (existing clothes/bicycle etc.), it is achieved the identification of article, for instance article A is labeled as clothes, article B is labeled as bicycle.
S233, each article are carried out prioritization, to be shown in order by difference classification results picture.
In this step, the mode of sequence has multiple, for instance be ranked up according to the hobby etc. of the sex of user or user, for instance, when the gender sorting according to user, for women, generate list [A, B]；For male, generate list [B, A].Then user is showed to select in order different lists.And the sex of user or the information such as like, can be identified by the shopping record that user is conventional.
As the preferred embodiment of the present invention, as shown in Figure 4, described step S300 specifically includes:
S310, pre-build a shopping website picture database, and regular update commodity picture information therein；
Namely, after setting up shopping website picture database, regularly commodity picture information on sale is updated from shopping website.
S320, when receiving classification results picture, according to picture searching algorithm, in described shopping website picture database, search for applicable item, be then shown with tabular form.
After the classification results picture that television reception to user selects, according to picture searching algorithm, as according to search engine commercial graphic searching methods such as existing Baidu or google, can searched in shopping website picture database, when finding the item meeting picture searching algorithm (such as picture, goods links, credit rating), then can according to the height of credit rating or other sortords, by the goods links information of search result items, show user with tabular form, select for user.Then the goods links that user is just optional interested, opens shopping full concatenation, starts to initiate shopping, after user completes shopping, namely can return to television viewing mode.
As another preferred embodiment of the present invention, as it is shown in figure 5, described step S300 specifically includes:
S310 ', foundation search engine, the classification results picture that user is selected scans for；
Wherein said search engine can be the search engine such as google or Baidu, is then scanned in google or Baidu by the classification results picture that user selects.
S320 ', to feedback Search Results link be filtered, will belong to the shopping website customized in advance goods links retain；
S330 ', goods links is carried out prioritization, be then shown with tabular form.
In this step, according to the goods links retained, obtain the credit rating of each shopping items from shopping website, and carry out priority sequence according to credit rating, show user to select with tabular form the link sorted.Then the goods links that user is just optional interested, opens shopping full concatenation, starts to initiate shopping, after user completes shopping, namely can return to television viewing mode.
Based on said method, the present invention also provides for the structured flowchart of the device preferred embodiment of the TV shopping of the parsing of a kind of image content-based and picture indices, as shown in Figure 6, comprising:
Screen capture module 100, for when TV receives shopping instruction in playing process, automatically preserving current video frame and obtain sectional drawing；
Sort module 200, for carrying out the article comprised in sectional drawing resolving classification, forms different classes of classification results picture and shows；
Search module 300, for when user selects a wherein classification results picture, obtaining picture feature information therein, and according to goods links corresponding to picture feature information search, is then shown.
As the preferred embodiment of the present invention, as it is shown in fig. 7, described sort module 200 specifically includes:
Extraction unit 210, for extracting the multidimensional characteristic vector of each pixel in sectional drawing；
Taxon 220, for according to clustering algorithm, classifying the multidimensional characteristic vector of each pixel obtained by similarity；
Cutter unit 230, for according to classification results, being cut by sectional drawing, generates the classification results picture being target with different article.
As the preferred embodiment of the present invention, as shown in Figure 8, described cutter unit 230 specifically includes:
Classification subelement 231, for forming different classes of classification results picture after sectional drawing content is classified；
Coupling subelement 232, for carrying out similarity mode by the characteristic vector of respective articles in classification results picture and existing article, it is achieved the identification of article；
Sequence subelement 233, for carrying out prioritization to each article, to be shown in order by difference classification results picture.
As the preferred embodiment of the present invention, as it is shown in figure 9, described search module 300 specifically includes:
Database unit 310, is used for pre-building a shopping website picture database regular update commodity picture information therein；
First search unit 320, for when receiving classification results picture, according to picture searching algorithm, searching for applicable item, be then shown with tabular form in described shopping website picture database.
As the preferred embodiment of the present invention, as shown in Figure 10, described search module 300 specifically includes:
Second search unit 310 ', for according to search engine, the classification results picture that user is selected scans for；
Filter element 320 ', for the link of the Search Results of feedback is filtered, retains the goods links belonging to the shopping website customized in advance；
Display unit 330 ', for goods links is carried out prioritization, is then shown with tabular form.
About ins and outs existing detailed description in method above of above-mentioned modular unit, therefore repeat no more.
In sum, the present invention obtains sectional drawing by being preserved by current video frame, and carry out resolving classification to the article comprised in sectional drawing, form classification results picture and show user to select, the picture that last TV selects according to user searches for corresponding goods links from shopping website automatically, then shows user.Adopt technical solution of the present invention to make user all can commodity interested be scanned for when watching program, improve the initiative of user profile screening, be provided that again the multiformity of shopping information, have great convenience for the user shopping.
It should be appreciated that the application of the present invention is not limited to above-mentioned citing, for those of ordinary skills, it is possible to improved according to the above description or convert, all these improve and convert the protection domain that all should belong to claims of the present invention.
Claims (10)
1. the method for the TV shopping of an image content-based parsing and picture indices, it is characterised in that include step:
A, when TV receives shopping instruction in playing process, automatically by current video frame preserve obtain sectional drawing；
B, the article comprised in sectional drawing are carried out resolve classification, form different classes of classification results picture and show；
C, when user selects a wherein classification results picture, obtain picture feature information therein, and according to goods links corresponding to picture feature information search, be then shown.
2. the method for the TV shopping of image content-based according to claim 1 parsing and picture indices, it is characterised in that described step B specifically includes:
The multidimensional characteristic vector of each pixel in B1, extraction sectional drawing；
B2, according to clustering algorithm, the multidimensional characteristic vector of each pixel obtained is classified by similarity；
B3, according to classification results, sectional drawing is cut, generates the classification results picture being target with different article.
3. the method for the TV shopping of image content-based according to claim 2 parsing and picture indices, it is characterised in that described step B3 specifically includes:
B31, sectional drawing content is classified after form different classes of classification results picture；
B32, the characteristic vector of respective articles in classification results picture and existing article are carried out similarity mode, it is achieved the identification of article；
B33, each article are carried out prioritization, to be shown in order by difference classification results picture.
4. the method for the TV shopping of image content-based according to claim 1 parsing and picture indices, it is characterised in that described step C specifically includes:
C1, pre-build a shopping website picture database, and regular update commodity picture information therein；
C2, when receiving classification results picture, according to picture searching algorithm, in described shopping website picture database, search for applicable item, be then shown with tabular form.
5. the method for the TV shopping of image content-based according to claim 1 parsing and picture indices, it is characterised in that described step C specifically includes:
C1 ', foundation search engine, the classification results picture that user is selected scans for；
C2 ', to feedback Search Results link be filtered, will belong to the shopping website customized in advance goods links retain；
C3 ', goods links is carried out prioritization, be then shown with tabular form.
6. the device of the TV shopping of an image content-based parsing and picture indices, it is characterised in that described device includes:
Screen capture module, for when TV receives shopping instruction in playing process, automatically preserving current video frame and obtain sectional drawing；
Sort module, for carrying out the article comprised in sectional drawing resolving classification, forms different classes of classification results picture and shows；
Search module, for when user selects a wherein classification results picture, obtaining picture feature information therein, and according to goods links corresponding to picture feature information search, is then shown.
7. the device of the TV shopping of image content-based according to claim 6 parsing and picture indices, it is characterised in that described sort module specifically includes:
Extraction unit, for extracting the multidimensional characteristic vector of each pixel in sectional drawing；
Taxon, for according to clustering algorithm, classifying the multidimensional characteristic vector of each pixel obtained by similarity；
Cutter unit, for according to classification results, being cut by sectional drawing, generates the classification results picture being target with different article.
8. the device of the TV shopping of image content-based according to claim 7 parsing and picture indices, it is characterised in that described cutter unit specifically includes:
Classification subelement, for forming different classes of classification results picture after sectional drawing content is classified；
Coupling subelement, for carrying out similarity mode by the characteristic vector of respective articles in classification results picture and existing article, it is achieved the identification of article；
Sequence subelement, for carrying out prioritization to each article, to be shown in order by difference classification results picture.
9. the device of the TV shopping of image content-based according to claim 6 parsing and picture indices, it is characterised in that described search module specifically includes:
Database unit, is used for pre-building a shopping website picture database regular update commodity picture information therein；
First search unit, for when receiving classification results picture, according to picture searching algorithm, searching for applicable item, be then shown with tabular form in described shopping website picture database.
10. the device of the TV shopping of image content-based according to claim 6 parsing and picture indices, it is characterised in that described search module specifically includes:
Second search unit, for according to search engine, the classification results picture that user is selected scans for；
Filter element, for the link of the Search Results of feedback is filtered, retains the goods links belonging to the shopping website customized in advance；
Display unit, for goods links is carried out prioritization, is then shown with tabular form.
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