CN105740269B - The method and apparatus that color is labeled - Google Patents
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Abstract
The present invention proposes the method and apparatus that a kind of pair of color is labeled, this includes: acquisition data to the method that color is labeled, and the data include picture and the corresponding text of the picture；Extract the color in the picture；According to the text and the standard dictionary pre-established, the attribute of the color is determined；The attribute is marked for the color.This method can be associated with attribute by color, improves search efficiency.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to a method and an apparatus for labeling colors.
Background
In the artistic and fashion world, each color has a certain meaning, and these meanings are almost fixed. In the internet, as new things continue to appear, labels and concepts related to each color are constantly changing. At present, the main retrieval conditions are the material attributes of the articles, such as cotton, hemp, silk, or style, and when a user wants to search for an article with certain color meaning or attribute, it is often difficult to retrieve the really desired result, and the search efficiency is low.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, an object of the present invention is to provide a method for labeling color, which can associate the color with the attribute, thereby improving the search efficiency.
Another object of the present invention is to provide a device for marking colors.
In order to achieve the above object, a method for labeling colors provided in an embodiment of the present invention includes: acquiring data, wherein the data comprises pictures and characters corresponding to the pictures; extracting colors in the picture; determining the attribute of the color according to the characters and a pre-established standard word bank; and marking the attribute for the color.
According to the method for labeling the color, which is provided by the embodiment of the invention, the color in the picture is extracted, the attribute is labeled for the extracted color, and the color and the attribute can be associated, so that the color not only has the traditional objective definition, but also can be represented by other meanings, and the searching efficiency is improved.
In order to achieve the above object, an apparatus for labeling colors according to an embodiment of the present invention includes: the acquisition module is used for acquiring data, and the data comprises pictures and characters corresponding to the pictures; the extraction module is used for extracting the colors in the picture; the first determining module is used for determining the attribute of the color according to the characters and a pre-established standard word bank; and the marking module is used for marking the attribute for the color.
According to the device for labeling the color, which is provided by the embodiment of the invention, the color in the picture is extracted, the attribute is labeled for the extracted color, and the color and the attribute can be associated, so that the color not only has the traditional objective definition, but also can be represented by other meanings, and the searching efficiency is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a method for labeling colors according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method for labeling colors according to another embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an apparatus for labeling colors according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of a device for labeling colors according to another embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
A method and apparatus for labeling colors according to an embodiment of the present invention will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a method for labeling colors according to an embodiment of the present invention, where the method includes:
s101: and acquiring data, wherein the data comprises pictures and characters corresponding to the pictures.
The pictures may include commodity pictures or other various pictures.
The present embodiment mainly takes a commodity picture as an example for explanation.
Specifically, data may be captured from one or more of a fashion website, a shopping website, an information website, such as a microblog website, and the like. The captured data may include the commodity picture and its corresponding text. The picture of the commodity may include at least one of a picture of the commodity being sold, a street photo, a new product release picture, a show picture, and the like.
Generally, the characters corresponding to the pictures in the acquired data indicate the characteristics of the goods in the pictures, for example, a picture of black clothes is captured from a website, and the corresponding characters can be expressed as: the clothes can make people appear to be mature and steady, etc.
S102: and extracting the colors in the picture.
In particular, the colors in the picture may be extracted by any image processing technique that is or may occur in the future.
The picture may include a commodity and a background, and the extracted color may specifically refer to a color of the commodity, for example, a model wearing red clothes, and the background is white, and specifically, red may be extracted. It will be appreciated that the specific manner of distinguishing between merchandise and background may be accomplished using existing correlation techniques.
When extracting the colors of the commodities, the extracted colors may be the colors of all commodities appearing in the picture, or the colors of designated objects in the picture, for example, a model in one picture wears a coat and a skirt and a pair of high-heeled shoes, at this time, the colors of the coat, the skirt and the high-heeled shoes may be extracted respectively, or the colors of one or more of the commodities may be extracted according to specific situations, which is not limited in the present invention.
S103: and determining the attribute of the color according to the characters and a pre-established standard word bank.
Specifically, a standard word bank related to the attribute may be pre-established, including resources such as synonyms and synonyms, and when labeling, the text corresponding to the picture may be matched with the words in the standard word bank to determine the attribute of the color.
The method includes extracting keywords from characters, comparing the keywords with words in a standard lexicon, determining the words in the standard lexicon with the highest similarity to the keywords as attributes of colors, for example, extracting mature and steady words from the characters, and determining the attributes as businesses if the similarity of the businesses to the mature and steady words is the highest through comparison. It is to be understood that the calculation of the degree of similarity between words may be performed by any of the existing calculation algorithms for calculating the degree of similarity between words.
S104: and marking the attribute for the color.
Optionally, the labeling the attribute for the color includes:
receiving a data request which is sent by a client and used for requesting a result associated with a color, acquiring a data result according to the attribute of the color, and sending the data result to the client; or,
and sending the color and the attribute of the color to a client so that the client displays the color and the corresponding attribute.
For example, when a user searches for a commodity, the user may input "business clothing" in the search bar, the server may determine that the attribute of black is business according to the above steps, and then the server may display the black clothing to the user. Or,
the client displays the color of the commodity to the user, and displays the corresponding attribute beside the color, for example, the commodity display page may include color items, and not only black but also business may be displayed corresponding to black in the color items.
According to the method and the device, the colors in the picture are extracted, the attributes are labeled for the extracted colors, the colors can be associated with the attributes, the colors have traditional objective definitions and can be represented by other meanings, and the searching efficiency is improved.
Fig. 2 is a schematic flow chart of a method for labeling colors according to another embodiment of the present invention, where the method includes:
s201: and acquiring data, wherein the data comprises pictures and characters corresponding to the pictures.
The pictures may include commodity pictures or other various pictures.
The present embodiment mainly takes a commodity picture as an example for explanation.
Specifically, data may be captured from one or more of a fashion website, a shopping website, an information website, such as a microblog website, and the like. The captured data may include the commodity picture and its corresponding text. The picture of the commodity may include at least one of a picture of the commodity being sold, a street photo, a new product release picture, a show picture, and the like.
Generally, the characters corresponding to the pictures in the acquired data indicate the characteristics of the goods in the pictures, for example, a picture of black clothes is captured from a website, and the corresponding characters can be expressed as: the clothes can make people appear to be mature and steady, etc.
S202: and extracting the colors in the picture.
In particular, the colors in the picture may be extracted by any image processing technique that is or may occur in the future.
The picture may include a commodity and a background, and the extracted color may specifically refer to a color of the commodity, for example, a model wearing red clothes, and the background is white, and specifically, red may be extracted. In an embodiment of the invention, the background in the picture can be stripped through technologies such as picture processing, and the like, so that the commodity in the picture is distinguished from the background, and the color of the commodity is obtained. It will be appreciated that the specific manner of distinguishing between merchandise and background may be accomplished using existing correlation techniques.
When extracting the colors of the commodities, the extracted colors may be the colors of all commodities appearing in the picture, or the colors of designated objects in the picture, for example, a model in one picture wears a coat and a skirt and a pair of high-heeled shoes, at this time, the colors of the coat, the skirt and the high-heeled shoes may be extracted respectively, or the colors of one or more of the commodities may be extracted according to specific situations, which is not limited in the present invention.
S203: and normalizing the color according to a preset rule so as to determine the attribute of the normalized color.
The preset rules include color division rules, for example, the colors are divided into red, orange, yellow, green, cyan, blue, purple, black, white, nine basic colors, and are classified as red when encountering deep red, light red, and pink, and similar rules may be various and are not listed here.
Specifically, the extracted color may be analyzed and normalized according to a preset rule to determine a color system to which the commodity belongs.
S204: and determining the attribute of the color according to the characters and a pre-established standard word bank.
The attributes include at least one, for example, red may correspond to attributes such as temptation, elegance, nobility, etc., black may correspond to attributes such as banker, general, etc., each color may correspond to a plurality of attributes, and each attribute may also correspond to a plurality of colors.
Specifically, a standard word library about attributes may be pre-established, including related resources such as synonyms and synonyms, which are used for matching during tagging. During labeling, the characters corresponding to the pictures can be matched with words in a standard word stock to determine the attribute of the color.
The method includes extracting keywords from characters, comparing the keywords with words in a standard lexicon, determining the words in the standard lexicon with the highest similarity to the keywords as attributes of colors, for example, extracting mature and steady words from the characters, and determining the attributes as businesses if the similarity of the businesses to the mature and steady words is the highest through comparison. It is to be understood that the calculation of the degree of similarity between words may be performed by any of the existing calculation algorithms for calculating the degree of similarity between words.
S205: a value of a degree of correlation of each attribute with the color is determined.
Specifically, the matching result may be counted, and the correlation value between each attribute and the color may be determined according to the matching frequency between each attribute and the color. For example, in the massive matching results, if the attribute of black matched to the bankweight is 10 times, and the attribute of black matched to the commander is 5 times, the correlation value between the bankweight and the black is 10, and the correlation value between the commander and the black is 5.
S206: and sorting the colors according to the correlation degree value.
Specifically, the colors corresponding to each attribute may be sorted according to the correlation value of each attribute with the color, for example, the colors related to the group weight may be red, black, dark purple, golden yellow, and the like, and the colors related to the group weight attribute may be displayed according to the order of the correlation value of each color with the group weight from large to small.
S207: and marking the attribute for the color.
Optionally, the labeling the attribute for the color includes:
receiving a data request which is sent by a client and used for requesting a result associated with a color, acquiring a data result according to the attribute of the color, and sending the data result to the client; or,
and sending the color and the attribute of the color to a client so that the client displays the color and the corresponding attribute.
For example, when a user searches for a commodity, the user may input "business clothing" in the search bar, the server may determine that the attribute of black is business according to the above steps, and then the server may display the black clothing to the user. Or,
the client displays the color of the commodity to the user, and displays the corresponding attribute beside the color, for example, the commodity display page may include color items, and not only black but also business may be displayed corresponding to black in the color items.
According to the method, the colors in the picture are extracted, the attributes of the extracted colors are labeled, and the colors and the attributes can be associated, so that the colors not only have traditional objective definitions, but also can be represented by other meanings, and the searching efficiency is improved; in addition, the colors are sorted according to the relevance of each attribute and the colors, so that the articles with the colors with higher relevance to the required attributes can be positioned more quickly during searching, and the searching accuracy is improved.
In order to implement the above embodiments, the present invention further provides a device for labeling colors.
Fig. 3 is a schematic structural diagram of a device for labeling colors according to another embodiment of the present invention. As shown in fig. 3, the color labeling apparatus includes: an acquisition module 100, an extraction module 200, a first determination module 300 and an annotation module 400.
Specifically, the obtaining module 100 is configured to obtain data, where the data includes a picture and text corresponding to the picture. The pictures may include commodity pictures or other various pictures.
The present embodiment mainly takes a commodity picture as an example for explanation.
More specifically, the obtaining module 100 may capture data from one or more of a fashion website, a shopping website, an information website, such as a microblog website, and the like. The captured data may include the commodity picture and its corresponding text. The picture of the commodity may include at least one of a picture of the commodity being sold, a street photo, a new product release picture, a show picture, and the like.
Generally, the characters corresponding to the pictures in the acquired data indicate the characteristics of the goods in the pictures, for example, a picture of black clothes is captured from a website, and the corresponding characters can be expressed as: the clothes can make people appear to be mature and steady, etc.
The extracting module 200 is used for extracting the color in the picture. More specifically, the colors in the picture may be extracted by any image processing technique that is or may occur in the future.
The picture may include a commodity and a background, and the extracted color may specifically refer to a color of the commodity, for example, a model wearing red clothes, and the background is white, and specifically, red may be extracted. It will be appreciated that the specific manner of distinguishing between merchandise and background may be accomplished using existing correlation techniques.
When extracting the colors of the commodities, the extracted colors may be the colors of all commodities appearing in the picture, or the colors of designated objects in the picture, for example, a model in one picture wears a coat and a skirt and a pair of high-heeled shoes, at this time, the colors of the coat, the skirt and the high-heeled shoes may be extracted respectively, or the colors of one or more of the commodities may be extracted according to specific situations, which is not limited in the present invention.
The first determining module 300 is configured to determine the attribute of the color according to the text and a pre-established standard lexicon. More specifically, a standard lexicon related to the attribute may be pre-established, and the standard lexicon includes related resources such as synonyms and synonyms, and when labeling, the first determining module 300 may match the text corresponding to the picture with the words in the standard lexicon to determine the attribute of the color.
The first determining module 300 may extract keywords from the text, compare the keywords with the vocabularies in the standard lexicon, and determine the vocabulary in the standard lexicon with the highest similarity to the keywords as the attribute of the color, for example, mature and steady words may be extracted from the text, and the standard lexicon contains a business, and after comparison, if the similarity of the business to the mature and steady words is the highest, the attribute may be determined to be the business. It is to be understood that the calculation of the degree of similarity between words may be performed by any of the existing calculation algorithms for calculating the degree of similarity between words.
The labeling module 400 is configured to label the color with the attribute. Optionally, the labeling module 400 labels the attribute for the color, which may include:
receiving a data request which is sent by a client and used for requesting a result associated with a color, acquiring a data result according to the attribute of the color, and sending the data result to the client; or,
and sending the color and the attribute of the color to a client so that the client displays the color and the corresponding attribute.
For example, when a user searches for a commodity, the user may input "business clothing" in the search bar, the server may determine that the attribute of black is business according to the above steps, and then the server may display the black clothing to the user. Or,
the client displays the color of the commodity to the user, and displays the corresponding attribute beside the color, for example, the commodity display page may include color items, and not only black but also business may be displayed corresponding to black in the color items.
According to the method and the device, the colors in the picture are extracted, the attributes are labeled for the extracted colors, the colors can be associated with the attributes, the colors have traditional objective definitions and can be represented by other meanings, and the searching efficiency is improved.
Fig. 4 is a schematic structural diagram of a device for labeling colors according to another embodiment of the present invention. As shown in fig. 4, the color labeling apparatus includes: an acquisition module 100, an extraction module 200, a first determination module 300, a labeling module 400, a normalization module 500, a second determination module 600, and a ranking module 700.
Specifically, the normalization module 500 is configured to normalize the color according to a preset rule, so as to determine an attribute of the normalized color. The preset rules include color division rules, for example, the colors are divided into red, orange, yellow, green, cyan, blue, purple, black, white, nine basic colors, and are classified as red when encountering deep red, light red, and pink, and similar rules may be various and are not listed here. More specifically, the extracted color may be analyzed and normalized according to a preset rule to determine the color system to which the commodity belongs.
The second determination module 600 is configured to determine a correlation value of each attribute with the color. More specifically, the second determining module 600 may count the matching results, and determine the correlation value between each attribute and the color according to the matching times of each attribute and the color. For example, in the massive matching results, if the attribute of black matched to the bankweight is 10 times, and the attribute of black matched to the commander is 5 times, the correlation value between the bankweight and the black is 10, and the correlation value between the commander and the black is 5.
The ranking module 700 is configured to rank the colors according to the degree of correlation. More specifically, the sorting module 700 may sort the colors corresponding to each attribute according to the correlation value of each attribute with the color, for example, the colors related to the group weight are red, black, dark purple, golden yellow, and the like, and the colors related to the group weight attribute are displayed according to the order of the correlation value of each color with the group weight attribute from large to small.
According to the method, the colors in the picture are extracted, the attributes of the extracted colors are labeled, and the colors and the attributes can be associated, so that the colors not only have traditional objective definitions, but also can be represented by other meanings, and the searching efficiency is improved; in addition, the colors are sorted according to the relevance of each attribute and the colors, so that the articles with the colors with higher relevance to the required attributes can be positioned more quickly during searching, and the searching accuracy is improved.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (16)
1. A method of labeling colors, comprising:
acquiring data, wherein the data comprises pictures and characters corresponding to the pictures;
extracting colors in the picture;
determining the attribute of the color according to the characters and a pre-established standard word bank;
and marking the attribute for the color.
2. The method of claim 1, wherein the extracting the color in the picture comprises:
and distinguishing the commodity and the background in the picture to obtain the color of the commodity.
3. The method of claim 1, wherein after extracting the color in the picture, the method further comprises:
and normalizing the color according to a preset rule so as to determine the attribute of the normalized color.
4. The method of claim 1, wherein the attribute comprises at least one, and wherein after determining the attribute of the color, the method further comprises:
determining a correlation value of each attribute with the color;
and sorting the colors according to the correlation degree value.
5. The method of claim 1, wherein said labeling said attribute for said color comprises:
receiving a data request which is sent by a client and used for requesting a result associated with a color, acquiring a data result according to the attribute of the color, and sending the data result to the client; or,
and sending the color and the attribute of the color to a client so that the client displays the color and the corresponding attribute.
6. The method of any of claims 1-5, wherein the obtaining data comprises:
data is captured from one or more of a fashion website, a shopping website, and an information website.
7. The method of any one of claims 1-5, wherein the picture comprises a picture of a commodity.
8. The method of claim 7, wherein the merchandise picture comprises at least one of: pictures of goods being sold, street-shot pictures, new-product release pictures and show pictures.
9. An apparatus for labeling colors, comprising:
the acquisition module is used for acquiring data, and the data comprises pictures and characters corresponding to the pictures;
the extraction module is used for extracting the colors in the picture;
the first determining module is used for determining the attribute of the color according to the characters and a pre-established standard word bank;
and the marking module is used for marking the attribute for the color.
10. The device of claim 9, wherein the extraction module is further configured to distinguish the commodity from the background in the picture, and obtain the color of the commodity.
11. The apparatus of claim 9, further comprising:
and the normalization module is used for normalizing the color according to a preset rule so as to determine the attribute of the normalized color.
12. The apparatus of claim 9, wherein the attribute comprises at least one, the apparatus further comprising:
the second determination module is used for determining the correlation value of each attribute and the color;
and the sorting module is used for sorting the colors according to the correlation degree value.
13. The apparatus according to claim 9, wherein the labeling module is specifically configured to receive a data request for requesting a result associated with a color, the data request being sent by a client, obtain a data result according to an attribute of the color, and send the data result to the client; or sending the color and the attribute of the color to a client so that the client displays the color and the corresponding attribute.
14. The apparatus of any one of claims 9-13, wherein the capture module is further configured to capture data from one or more of a fashion website, a shopping website, and an information website.
15. The apparatus of any of claims 9-13, wherein the picture comprises a picture of a commodity.
16. The apparatus of claim 15, wherein the merchandise picture comprises at least one of: pictures of goods being sold, street-shot pictures, new-product release pictures and show pictures.
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