KR20090049433A - Method and system for searching using color keyword - Google Patents
Method and system for searching using color keyword Download PDFInfo
- Publication number
- KR20090049433A KR20090049433A KR1020070115690A KR20070115690A KR20090049433A KR 20090049433 A KR20090049433 A KR 20090049433A KR 1020070115690 A KR1020070115690 A KR 1020070115690A KR 20070115690 A KR20070115690 A KR 20070115690A KR 20090049433 A KR20090049433 A KR 20090049433A
- Authority
- KR
- South Korea
- Prior art keywords
- image
- video
- color
- search
- color code
- Prior art date
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/7847—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content
- G06F16/785—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content using colour or luminescence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/7867—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
The present invention relates to a search method and system using a color keyword, the method comprising the steps of extracting a color code corresponding to the color keyword with reference to the color table, a database of images or videos having the extracted color code as a representative color code Generating a first search result by extracting from the image, and extracting an image or video having a general keyword as meta information from a database to generate a second search result. According to the present invention, an image or a video desired by a user can be extracted and provided to the user.
Color keyword, color code, representative color code, database, search server
Description
The present invention relates to a search method and system, and more particularly, to a search method and system using color keywords.
With the rapid spread of high speed internet in recent years, it has become an indispensable necessity in modern life. Most users who use the Internet access the Internet through a browser and search for information through an Internet portal site. When the user enters a search word in the search box of the Internet portal, the Internet portal extracts various information corresponding to the search word from the database and provides the search result to the user. The extracted information is divided into categories such as dictionaries, knowledge information (eg, Naver's knowledge iN), blogs, cafes, specialty materials, sites, books, news, web pages, images, videos, and the like, and is delivered to the user for display. When the user selects any of the displayed information, the Internet portal extracts the document from the database and displays it to the user.
In general documents, the search technology has been advanced to extract the search results that users want, but it is difficult to extract the search results that users want. In other words, when searching for an image or video, the search is performed based on the characters in the title or description of the image or video. Therefore, if the description of the image or video is not sufficiently described, the user cannot obtain the desired search result. .
Accordingly, an aspect of the present invention is to provide various methods for extracting a representative color code value from an image or a video.
In addition, another technical problem to be achieved by the present invention is to provide a search method and system that can extract the image or video desired by the user.
A search method according to an aspect of the present invention for achieving the technical problem is a search method for a search server to perform a search for a search query including a color keyword and a general keyword, corresponding to the color keyword with reference to a color table Extracting a color code to generate a first search result by extracting an image or a video having the extracted color code as a representative color code from a database, and generating an image or video having the general keyword as meta information; Extracting from a database to generate a second search result.
The image or video of the second search result may be an image or video having the general keyword as meta information among the image or video of the first search result.
The image or video of the first search result may be an image or video having the extracted color code as a representative color code among the images or video of the second search result.
Extracting an image or a video having the color keyword and the general keyword as meta information from the database to generate a third search result, and generating an image or video of the first and second search results and the third search result. The method may further include removing a duplicate image or a video from the image or the video.
The method may further include calculating a share of the image or video for each color code included in the image or the video, and determining the representative color code for the image or the video based on the share.
Grouping color codes corresponding to the same color keyword among the color codes included in the image or the video by referring to the color table, and calculating a share of the image or the video for each of the bundles based on the share; The method may further include determining a representative color code for the image or video.
A computer readable medium according to another aspect of the present invention records a program for causing a computer to execute any of the above methods.
A search system according to another aspect of the present invention, receives a search query including a database, a color keyword and a general keyword that stores an image or video and stores meta information and representative color codes of the image or video, and the color keyword. A search server for extracting a color code corresponding to, extracting an image or video having the extracted color code as a representative color code from the database, and extracting an image or video having the general keyword as meta information from the database; Include.
As described above, according to the present invention, a color code may be extracted from an image and a video, and a representative color code of the image and a video may be extracted in various ways based on the share of the color code.
In addition, according to the present invention, by extracting the representative color code value from the image and video, and extracts the image or video having a color code corresponding to the color keyword input by the user as the representative color code can provide a user desired search results have.
DETAILED DESCRIPTION Embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention.
First, a search system according to an exemplary embodiment of the present invention will be described in detail with reference to FIGS. 1 and 2.
1 is a block diagram illustrating a search system and a user terminal connected thereto according to an embodiment of the present invention, and FIG. 2 is a diagram illustrating an example of a color table of the color information database illustrated in FIG. 1.
As shown in FIG. 1, the
The
The
The
The
The search query entered by the user includes a color keyword and a general keyword. Color keywords are words related to color, for example, nouns such as 'red' and 'red', and adjectives such as 'red (red)' and 'red (red)'. General keywords are words to be searched. An example of a search query that combines a color keyword and a general keyword is 'green field'. The search query may include a plurality of color keywords, such as 'red roses and yellow sunflowers.' Even when the search word is a sentence, if the sentence includes color information, the
The
The color code is used to represent the color of the pixels forming each frame of the image and the video as digital data, and may be a combination of primary colors. Examples of the primary colors include three primary colors such as red (R), green (G), and blue (B), and the color codes of each primary color are 8 bit data values, that is, 256 values between 00 and FF (hex). It can have any one of the values. However, the color code may use a primary color consisting of colors other than red, green, and blue, for example cyan (C), magenta (M), and yellow (M). May have
For example, referring to the color table of FIG. 2, the color keywords CK1, which may be represented by red, red, red, red, and the like, are red (R) color codes D0 to FF (hex) and green (G) colors. Corresponds to codes 00 to 2F (hex) and blue (B)
The
The
When a user inputs an image or a video and related information through the
The color
The color
The color
The color
As a first criterion, the color
On the other hand, the color
The color
Then, the color code having the largest occupancy in the bundle thus obtained can be determined as the representative color code for the image.
The color
The color
Since the method of extracting the representative color code from the frame of the video is substantially the same as the method of extracting the representative color code from one image, a detailed description thereof will be omitted.
The color
Next, a search method using color keywords of the search system according to an exemplary embodiment of the present invention will be described in detail with reference to FIG. 3.
3 is a flowchart illustrating a search method according to an embodiment of the present invention.
As shown in FIG. 3, when a user inputs a search query to a search page displayed on the
The
If it is determined in step S430 that no color keyword is included, the
If it is determined in step S430 that a color keyword is included, the
The
Steps S450 and S460 may be performed in a different order. That is, after performing a search for a general keyword, an image or video may be extracted as a search result, and an image or video having a color code corresponding to the color keyword as a representative color code may be extracted from the extracted image or video. .
In step S450 and S460, the
After comparing the search results in steps S450 and S460 with the search results in step S470, the duplicated results are removed, and the final search result is provided to the user terminal 100 (S480).
Even when the user inputs a plurality of color keywords, the
When the
On the other hand, the user can perform a search using only the color keyword. In this case, an image or a video having a color code corresponding to the color keyword as a representative color code may be extracted and provided as a search result.
As described above, according to the
Embodiments of the invention include a computer readable medium containing program instructions for performing various computer-implemented operations. This medium records a program for executing the retrieval method using the retrieval option layer described above. The media may include, alone or in combination with the program instructions, data files, data structures, and the like. Examples of such media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CDs and DVDs, floppy disks and program commands such as magnetic-optical media, ROM, RAM, flash memory, and the like. Hardware devices configured to store and perform such operations. Alternatively, the medium may be a transmission medium such as an optical or metal wire, a waveguide, or the like including a carrier wave for transmitting a signal specifying a program command, a data structure, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.
Although the preferred embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concepts of the present invention defined in the following claims are also provided. It belongs to the scope of rights.
1 is a block diagram illustrating a search system and a user terminal connected thereto according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating an example of a color table of the color information database shown in FIG. 1.
3 is a flowchart illustrating a search method according to an embodiment of the present invention.
<Description of Drawing>
100: user terminal, 200: communication network,
300: search system, 310: search server,
320: color information database, 330: image database,
340: video database, 350: color code extraction server
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020070115690A KR100933269B1 (en) | 2007-11-13 | 2007-11-13 | Search method and system using color keyword |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020070115690A KR100933269B1 (en) | 2007-11-13 | 2007-11-13 | Search method and system using color keyword |
Publications (2)
Publication Number | Publication Date |
---|---|
KR20090049433A true KR20090049433A (en) | 2009-05-18 |
KR100933269B1 KR100933269B1 (en) | 2009-12-22 |
Family
ID=40858189
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
KR1020070115690A KR100933269B1 (en) | 2007-11-13 | 2007-11-13 | Search method and system using color keyword |
Country Status (1)
Country | Link |
---|---|
KR (1) | KR100933269B1 (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101309264B1 (en) * | 2011-09-30 | 2013-09-16 | 한국식품연구원 | Device and method which provides the food information and taste information corresponding to color |
KR20200069001A (en) * | 2018-12-06 | 2020-06-16 | 한양대학교 산학협력단 | Method for processing color query and Terminal device for performing the same |
KR20200091614A (en) * | 2019-01-23 | 2020-07-31 | 주식회사 마이셀럽스 | Terminal and apparatus for providing search information based on color information |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20010002386A (en) * | 1999-06-15 | 2001-01-15 | 정선종 | Image database construction and searching method |
US7099860B1 (en) * | 2000-10-30 | 2006-08-29 | Microsoft Corporation | Image retrieval systems and methods with semantic and feature based relevance feedback |
-
2007
- 2007-11-13 KR KR1020070115690A patent/KR100933269B1/en active IP Right Grant
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101309264B1 (en) * | 2011-09-30 | 2013-09-16 | 한국식품연구원 | Device and method which provides the food information and taste information corresponding to color |
KR20200069001A (en) * | 2018-12-06 | 2020-06-16 | 한양대학교 산학협력단 | Method for processing color query and Terminal device for performing the same |
KR20200091614A (en) * | 2019-01-23 | 2020-07-31 | 주식회사 마이셀럽스 | Terminal and apparatus for providing search information based on color information |
US11361022B2 (en) | 2019-01-23 | 2022-06-14 | Mycelebs Co., Ltd. | Terminal and apparatus for providing search information based on color information |
Also Published As
Publication number | Publication date |
---|---|
KR100933269B1 (en) | 2009-12-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10169354B2 (en) | Indexing and search query processing | |
US8326860B2 (en) | Indexing and searching product identifiers | |
US8504553B2 (en) | Unstructured and semistructured document processing and searching | |
US7788262B1 (en) | Method and system for creating context based summary | |
US20140324808A1 (en) | Semantic Segmentation and Tagging and Advanced User Interface to Improve Patent Search and Analysis | |
US8577882B2 (en) | Method and system for searching multilingual documents | |
JP5550669B2 (en) | SEARCH DEVICE, SEARCH METHOD, AND PROGRAM | |
US8296302B2 (en) | Method and system for extending content | |
US20070022085A1 (en) | Techniques for unsupervised web content discovery and automated query generation for crawling the hidden web | |
JP2008192055A (en) | Content search method and content search apparatus | |
US20120162244A1 (en) | Image search color sketch filtering | |
JP2011529600A (en) | Method and apparatus for relating datasets by using semantic vector and keyword analysis | |
JP2015525929A (en) | Weight-based stemming to improve search quality | |
EP2192503A1 (en) | Optimised tag based searching | |
US20090119283A1 (en) | System and Method of Improving and Enhancing Electronic File Searching | |
US9971782B2 (en) | Document tagging and retrieval using entity specifiers | |
KR20120087058A (en) | Apparatus, method and computer readable recording medium for providibg related contents | |
KR100933269B1 (en) | Search method and system using color keyword | |
WO2008130501A1 (en) | Unstructured and semistructured document processing and searching and generation of value-based information | |
JP7395377B2 (en) | Content search methods, devices, equipment, and storage media | |
JP2009259248A (en) | Method and unit for tagging images included in web page and providing web retrieval service by using the result and computer-readable recording medium | |
Tsapatsoulis | Web image indexing using WICE and a learning-free language model | |
KR20080058634A (en) | Retrieval system and method | |
JP2008234226A (en) | Retrieval device and retrieval method | |
KR101142062B1 (en) | Apparatus and method for database management and search engine of multimedia metadata |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
A201 | Request for examination | ||
E902 | Notification of reason for refusal | ||
E701 | Decision to grant or registration of patent right | ||
GRNT | Written decision to grant | ||
FPAY | Annual fee payment |
Payment date: 20121011 Year of fee payment: 4 |
|
FPAY | Annual fee payment |
Payment date: 20130926 Year of fee payment: 5 |
|
FPAY | Annual fee payment |
Payment date: 20140925 Year of fee payment: 6 |
|
FPAY | Annual fee payment |
Payment date: 20151102 Year of fee payment: 7 |
|
FPAY | Annual fee payment |
Payment date: 20161024 Year of fee payment: 8 |
|
FPAY | Annual fee payment |
Payment date: 20171011 Year of fee payment: 9 |