WO2001024050A1 - Systeme de reconnaissance d'images et systeme de base de donnees pour la reconnaissance d'images - Google Patents

Systeme de reconnaissance d'images et systeme de base de donnees pour la reconnaissance d'images Download PDF

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Publication number
WO2001024050A1
WO2001024050A1 PCT/JP2000/003637 JP0003637W WO0124050A1 WO 2001024050 A1 WO2001024050 A1 WO 2001024050A1 JP 0003637 W JP0003637 W JP 0003637W WO 0124050 A1 WO0124050 A1 WO 0124050A1
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WO
WIPO (PCT)
Prior art keywords
image
identification device
image information
attribute information
image identification
Prior art date
Application number
PCT/JP2000/003637
Other languages
English (en)
Japanese (ja)
Inventor
Toshiaki Nagai
Original Assignee
Cadix Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Cadix Inc. filed Critical Cadix Inc.
Priority to AU49544/00A priority Critical patent/AU4954400A/en
Publication of WO2001024050A1 publication Critical patent/WO2001024050A1/fr

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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
    • 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
    • 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
    • G06F16/5854—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 shape and object relationship

Definitions

  • the present invention relates to an image identification device.
  • the present invention relates to an image identification device capable of acquiring an image of a painting or the like and knowing the creator of the painting.
  • the present invention also relates to a recording medium having a data structure used by the image identification device, and a database system used by the image identification device.
  • the present invention has been made in view of the above problems, and has as its object to provide a system capable of knowing attribute information such as the creator of an object represented by image information based on the image information of a work of art or the like. That is.
  • a feature amount calculating unit that calculates a feature amount of given input image information, and image information having a feature amount that matches the calculated feature amount is stored in a database.
  • an attribute information output unit that outputs attribute information of the object represented by the image information found by the search from the database, and an attribute information output unit that outputs the read attribute information. It is an image identification device.
  • the attribute information of the object represented by the image information can be efficiently obtained.
  • a database storing image information, attribute information of an object represented by the image information, and a feature amount of the image information, and a feature amount of a given input image information is calculated.
  • An amount calculating unit, and a searching unit that searches the database for image information having a feature amount matching the calculated feature amount, and reads out attribute information of an object represented by the image information found by the search from the database.
  • an attribute information output means for outputting the read attribute information.
  • an image identification apparatus comprising: digital camera means for generating image information of an object; wherein the digital camera means generates the input image information.
  • Image information can be quickly generated based on an object, and attribute information of the object can be quickly obtained.
  • a fourth aspect of the present invention is the image identification device, wherein the object is a work of art, and the attribute information includes at least an author name and a work name of the work of art.
  • the name of the creator of the artwork can be quickly known.
  • a fifth aspect of the present invention is the image identification device, wherein the object is a painting, and the attribute information includes at least a creator name and a work name of the painting.
  • the name of the painting or the like can be quickly known.
  • a sixth aspect of the present invention is the image identification device, wherein the object is clothing, and the attribute information includes at least a brand name of the clothing.
  • a seventh aspect of the present invention is the image identification device, wherein the object is a tie, and the image information is image information representing a pattern of the nectar.
  • the brand name of the tie can be quickly known based on the tie pattern.
  • An eighth aspect of the present invention is the image identification device, wherein the object is a plant, and the attribute information includes at least a name and a classification of the plant. According to such a configuration, the name of the plant and the like can be quickly known.
  • a ninth aspect of the present invention is the image identification device, wherein the object is an animal, and the attribute information includes at least a name and a classification of the animal. According to such a configuration, the name and the like of the animal can be quickly known.
  • a tenth aspect of the present invention is the image identification device, wherein the object is a fish, and the attribute information includes at least a name and a classification of the fish. According to such a configuration, the name and the like of the fish can be quickly known.
  • the feature amount includes at least a freshness feature amount emphasizing an eye color of the fish
  • the database includes the freshness feature An image identification apparatus comprising a plurality of entries having different amounts. According to such a configuration, the freshness of fish can be identified.
  • a twelfth aspect of the present invention is the image identification device, wherein the object is a food, and the attribute information includes at least a name of the food.
  • the freshness of the food can be identified.
  • a feature amount calculating means for calculating a feature amount of given input image information, and image information having a feature amount matching the calculated feature amount are searched from a database.
  • An image identification device comprising: a search unit that reads attribute information in a state represented by image information found by the above from the database; and an attribute information output unit that outputs the read attribute information.
  • the attribute information of the state represented by the image information can be efficiently obtained.
  • a database for storing image information, attribute information of a state represented by the image information, a feature amount of the image information, and a feature amount of given input image information is calculated.
  • a feature amount calculation unit, and image information having a feature amount matching the calculated feature amount is searched from the database, and attribute information of a state represented by the image information found by the search is retrieved from the database.
  • An image identification device comprising: a retrieval unit that reads out; and an attribute information output unit that outputs the attribute information that is read out.
  • a database is included, so it is not necessary to access an external database.
  • a fifteenth aspect of the present invention is an image discriminating apparatus comprising: a digital camera means for generating image information representing a predetermined state; wherein the digital camera means generates the input image information.
  • image information can be quickly generated based on the state in front of the eyes, and attribute information of the state can be obtained quickly. .
  • a sixteenth aspect of the present invention is characterized in that the state is a state of a ground surface, a road surface, or a floor surface representing footprints of shoes, and the attribute information includes at least a name of a manufacturer of the shoes. Image identification device. According to such a configuration, it is possible to quickly know the name of the shoe manufacturer with respect to the footprint of the shoe.
  • a seventeenth aspect of the present invention is the image identification device, wherein the state is a medical examination result, and the attribute information includes at least a diagnosis result.
  • the diagnosis result can be quickly known based on the medical examination result.
  • An eighteenth aspect of the present invention is the image identification device, wherein the image information is image information representing a lentogen photograph.
  • the diagnosis result can be quickly known based on the lentogen photograph.
  • a ninth aspect of the present invention is a storage unit for storing image information representing an object, attribute information of the object represented by the image information, and a feature amount of the image information, and According to such a database system, a search means for searching for image information, and an attribute of an object represented by the image information are obtained by a query including externally input image information. We can know information.
  • storage means for storing: image information representing a state; attribute information of the state represented by the image information; and a feature amount of the image information.
  • a database system comprising: a search unit for searching for image information; and
  • a twenty-first aspect of the present invention is a recording medium storing image information representing an object, attribute information of the object represented by the image information, and a feature amount of the image information.
  • a computer-readable recording medium characterized in that the image information can be searched using a feature amount as a key.
  • a twenty-second aspect of the present invention is a recording medium characterized by storing image information representing a state, attribute information of the state represented by the image information, and a feature amount of the image information.
  • a computer-readable recording medium characterized in that the image information can be searched using a feature amount as a key.
  • the image information can be searched based on the feature amount of the image information, and further, the attribute information of the state represented by the image information can be obtained.
  • a recording medium reading means for reading the input image information from a predetermined recording medium, wherein the characteristic amount calculating means calculates the characteristic amount of the input image information read from the recording medium.
  • an image identification device capable of identifying an image can be obtained based on the recording medium on which the image is stored.
  • a twenty-fourth aspect of the present invention is the image identification device, wherein the recording medium is a recording medium on which image information can be written by digital camera means.
  • the second configuration it is possible to first capture an image with a digital camera, store the captured image on a recording medium, and then perform image identification based on the recording medium on which the image is stored.
  • a twenty-fifth aspect of the present invention includes: an image receiving unit that receives the human-powered image information from a predetermined communication line.
  • the feature amount calculating unit calculates a feature amount of the input image information received by the image receiving unit.
  • An image identification device characterized in that it is calculated.
  • a twenty-sixth aspect of the present invention is an image identification device, comprising: attribute information transmitting means for transmitting the attribute information output by the attribute information output means via the communication line.
  • the attribute information as a result of the image identification can be transmitted via the communication line, and the image identification device can be used from a remote place.
  • the image receiving means receives an electronic mail from the communication line. And an e-mail receiving means for extracting the input image information contained in the e-mail.
  • the image transmitting means includes an electronic mail transmitting means for transmitting, via the communication line, an e-mail including the attribute information output by the attribute information output means.
  • This is a featured image identification device.
  • the attribute information as a result of the image identification can be transmitted by e-mail, and the image identification device can be used from a remote place.
  • a twentieth aspect of the present invention is the image identification device, wherein the communication line is the Internet.
  • the image identification device can be used from a place where it can access the Internet.
  • a thirty-fifth aspect of the present invention is the mobile terminal receiving means for receiving the input image information from a digital camera means via the mobile communication line, wherein the communication line is a mobile communication line.
  • An image identification device comprising: According to such a configuration, image identification can be performed based on input image information received via the mobile communication line.
  • a thirty first aspect of the present invention is the mobile communication line, wherein the communication line is a mobile communication line for performing communication by a mobile communication terminal, and the image transmitting means transmits the attribute information output by the attribute information output means to the mobile communication terminal.
  • attribute information as a result of image identification can be received by the mobile communication terminal, and attribute information generated by the image identification device can be known from a remote location.
  • a thirty-second aspect of the present invention is the image identification device, wherein the mobile communication line is a mobile phone communication line.
  • the image identification device can be used from a place where a mobile phone can be used.
  • FIG. 1 is a block diagram of a configuration of an image identification device according to a preferred embodiment of the present invention.
  • FIG. 2 is a configuration block diagram of a database system according to a preferred embodiment of the present invention.
  • FIG. 3 is an explanatory diagram showing the data structure of the database.
  • FIG. 4 is a block diagram of a configuration of an image identification device according to another embodiment.
  • FIG. 1 shows a configuration block diagram of an image identification device 8 according to a preferred first embodiment of the present invention.
  • the image identification device 8 is composed of a feature value calculating means 14, a searching means 16, and an output means 20.
  • the digital camera 10 photographs the painting 12 and generates a digital image of the painting.
  • the generated digital image is sent to the feature amount calculation means 14.
  • the feature amount calculating means 14 calculates the feature amount of the digital image of the painting.
  • the search means 16 compares the calculated feature quantity with the feature quantity stored in the database 18 and finds image information corresponding to the matching feature quantity.
  • This image information is the image information of the painting.
  • the search means 16 reads out the author name, the name of the picture, etc., which are the attribute information of the found image information, from the database 18 and sends them to the output means 20.
  • the output means 20 causes the display means 22 to display the supplied author name, painting name, and the like. In this way, according to the first embodiment, by photographing a painting with the digital camera 10, the creator of the painting, the name of the painting, and the like are indicated on the display means 22. Therefore, the user can easily know the name of the painting and the name of the creator.
  • a characteristic of the first embodiment is that image information is stored in a database 18. That is, the feature amount is used when searching from. Various conventionally known feature amounts can be used as the image feature amount.
  • the characteristic amount calculating means 14 calculates such various characteristic amounts. Since the feature amount itself is conventionally known, the description of the calculation method is omitted.
  • Database 18 is a database related to painting.
  • This database 18 stores image information of a painting, attribute information of the painting, and feature values of the image information.
  • the attribute information is the author name of the painting, the name of the painting, and the like.
  • the database 18 is provided with an index table related to the characteristic amount in order to make it easy to search the image information of the painting using the characteristic amount as a key. As a result, a data structure capable of quickly searching for image information using the feature amount as a key is realized in the database 18.
  • the search unit 16 reads the attribute information from the database 18 with respect to the image information searched using the feature amount as a key. Then, the search means 16 supplies the read attribute information, that is, the author name and the like to the display means 22.
  • the display means 22 displays the author name and the like.
  • Database 18 can take various forms. For example, it may be configured on a hard disk of a computer. Also, for example, it is considered that this kind of painting database is often set up in museums and the like. In such a case, the image identification device 8 is often located far from the database 18. In this case, to adopt a mode of connection to the database 1-8 via a communication line image identification apparatus 8 is preferably c of database system suitable for connecting the image identification apparatus 8 via such communication channel The configuration is described in further detail in Embodiment 3 below.
  • attribute information it is also preferable to use, in addition to the author's name and the name of the painting, the year of the painting's production, the owner, the size, and a commentary by a specialist.
  • the commentary and explanation by the expert as attribute information on the display means 22, the user can see the explanation of the picture and contribute to the purpose of learning and education.
  • the digital image of the painting is generated by the digital camera 10.
  • a configuration may be adopted in which a still image of a painting is captured from a video signal.
  • any method can be adopted as long as a digital image of the painting can be obtained.
  • the database 18 is configured separately from the image identification device 8, but may be included in the image identification device 8.
  • the types of paintings to be identified are small and the database 18 is small, it is preferable to configure the database 18 on a hard disk or the like inside the image identification device.
  • the display device 22 can be used for the display device 22.
  • Various display devices such as a CRT and a liquid crystal display device that have been conventionally used can be used.
  • the display device 22 is configured separately from the image identification device 8, but may be included inside the image identification device 8. In this case, if a small liquid crystal display device is provided in the image identification device 8, there is a possibility that a miniaturized image identification device that is convenient to carry can be realized.
  • the feature amount calculation means 14 use hardware dedicated to calculation, but it is also preferable to realize the feature amount software.
  • the search means 16 be constituted by software for accessing the database 18.
  • the output means depends on the type of the external display means 22, but it is desirable that the output means be constituted by, for example, a video power and software for driving the video power.
  • Embodiment 2 (application fields)
  • paintings have been described.
  • the objects are not limited to paintings, but may be other artworks, animals, plants, clothes, etc., as long as they can be photographed with a digital camera or the like.
  • the database 18 is a database including sculpture image information, feature amounts of sculpture image information, and sculpture attribute information (creator of the sculpture, name of the sculpture).
  • the object When the object is a plant, it can be used as a plant picture book that allows the name and type of the plant to be known based on the image of the plant.
  • the database 18 is a database containing plant image information, feature amounts of plant image information, and plant attribute information. It is a base.
  • the attribute information of a plant includes the name of the plant, scientific name, family, ecology, breeding area, annual or two-year grass, and so on.
  • the object is an animal
  • it is almost the same as a plant.
  • the name and ecology of the animal can be known.
  • the database 18 has a plurality of entries with different freshness for one kind of fish. For example, for image information of a fish with high freshness, the entry database includes image information of a fish with high freshness, the feature amount of image information of a fish with high freshness, and attribute information of a fish including information of high freshness. Stored in 18.
  • the entry For image information of a fish with low freshness, the entry includes image information of a fish with low freshness, the feature amount of image information of a fish with low freshness, and attribute information of a fish including information of low freshness. Are stored in the database 18.
  • the database 18 has a plurality of entries with different freshness for one type of food.
  • the entry includes image information of a certain food with high freshness, feature amounts of image information of a certain food with high freshness, and attribute information of a certain food including information of high freshness.
  • the database 18 also stores entries for image information of a food item with low freshness.
  • the object is clothing, it is the same as a work of art, etc.
  • the database 18 is a database including clothing image information, feature amounts of clothing image information, and clothing attribute information.
  • the attribute information of the garment includes the brand name of the garment, fiber type, weaving method, washing method, price, and the like.
  • the garment is a tie or a scarf, it can often be identified from the design rather than its shape. Therefore, in the case of a tie, it is preferable to use a part of the tie as image information. Then, based on the image information of the symbol, the feature amount of the image and attribute information such as a tie having the symbol are stored in the database 18.
  • the attribute information of an object is obtained by using image information representing a single independent object.
  • image information may be generated, instead of the object itself, it may be a "state” such as a "trace” of the object or the state of the object. It is also good to get attribute information.
  • footprints of an object such as a footprint can be generated by using the digital camera 10 or the like. It is also preferable to configure the image identification device 8 that can display the attribute information of the shoe that made the footprint based on the footprint.
  • the footprints are the footprints of the shoes on the ground surface and the footprints of the shoes on the street and on the floor.
  • the attribute information of the shoe it is preferable to use the name of the shoe manufacturer, the material of the shoe, and the like.
  • the “state of the object” is, for example, an inspection result of an X-ray photograph image or the like. Images matching the image information of lentogen photos based on their features By searching from the database i8, the attribute information of the radiograph can be displayed.
  • a diagnosis result for the radiograph is preferable.
  • radiographs have been described, but any examination result, such as an endoscopic photograph, can be used as long as it can be expressed by an image.
  • Embodiment 3 Database system
  • the image identification device 8 uses the database 18 having a specific data structure.
  • the database 18 includes, in each entry, image information of an object, feature amounts of the image information of the object, and attribute information of the object. It is.
  • the database 18 includes, in each entry, state image information, feature amounts of the state image information, and attribute information of the state. Is also a feature.
  • a database of works of art and the like is often managed in a museum or the like. Therefore, as described above, it is considered that the image identification device 8 and the database 18 are often connected by a communication line.
  • the search means 16 in FIG. 1 issues a query (query 1) to the database system 30, and the database management means 32 calls this query.
  • the database 18 is searched and the result is returned to the search means 16.
  • the database management means 32 is realized by computer software:
  • the database system 30 is installed in an art museum, etc., instead of using the image identification device 8, it is also possible for the user to manually know the name of the painting or the like.
  • the user first obtains image information by photographing a work of art using a digital camera 10 or the like.
  • the user calculates the feature amount of the image information, and requests the database system 30 via the communication line to find out the image information matching the feature amount from the database 18.
  • the database management means 32 of the database system 30 searches for the corresponding image information, and transmits the name or work name, which is the attribute information of the image information, to the user. Users can learn the attributes of the artwork by receiving the name of the artwork and the author's name via the communication line.
  • the database system 30 having the above configuration can be used not only for a database of works of art but also for the medical diagnosis described above.
  • the database system 30 will be installed in a hospital, for example.
  • so-called remote diagnosis can be performed on a subject in a remote place.
  • Embodiment 4 (Recording medium)
  • FIG. 3 shows the data structure of this database 18.
  • this database 18 includes image information of an object, feature amounts of the image information, and attribute information of the object: FIG.
  • the database 18 may be configured to include image information of a state, feature amounts of the image information, and attribute information of the state:
  • a database is constructed by storing such a special data structure in a recording medium. Therefore, it is possible to search for image information using the feature values. In order to speed up the search, it is also preferable to construct an index table for the feature values (see Fig. 3).
  • the recording medium may be any recording medium that can be read by a computer.
  • a floppy disk may be used, and it is also preferable to use a Husband CDROM.
  • an image identification device can be easily configured using a computer.
  • accessing the database 18 in the recording medium by the user of the computer it is also possible to obtain attribute information of the object or state represented by the image information based on the image information.
  • Embodiment 5 (Acquisition form of input image information)
  • the input image information is directly supplied from an external digital camera 10 or the like as shown in FIG.
  • image information via a communication line without directly connecting the digital camera 10 and the image identification device 8. It is also preferable to adopt a form in which image information is temporarily stored in a recording medium, and this recording medium is supplied to an image identification device.
  • Embodiment 5 various modes for supplying input image information to the image identification device will be described.
  • the image identification device 38 includes a feature amount calculation unit 14, a search unit 16 and an output unit 20, as in FIG.
  • the display means 22 is connected to the output means 20, and the database 18 is connected to the search means.
  • the recording medium reading means 40 is connected to the feature quantity calculating means 14.
  • the recording medium reading means 40 reads the input image information from a recording medium such as a compact flash smart medium and supplies the input image information to the feature amount calculating means 14.
  • the feature amount calculating means 14 calculates the feature amount based on the supplied input image information.
  • the input image information can be supplied to the image identification device 38 without connecting the digital camera 10 directly to the image identification device 38. That is, the user first captures an image using the digital camera 10 or the like to obtain input image information.
  • This input image information is stored in a recording medium such as the above-mentioned compact flash: Digital cameras 10 and the like generally use such a compact flash. It has a function of storing an image in a recording medium such as a flash or a smart media.
  • the user causes the recording medium reading means 40 of the image identification device 38 to read the recording medium storing the image in this manner.
  • the recording medium reading means 40 supplies the read image to the feature amount calculating means 14 as input image information.
  • the following operation is the same as in the first embodiment, and the user can see the attribute information and the like as the result of image identification on the screen of the display means 22.
  • the user can take an image at a place away from the image identification device 38.
  • Various types of recording media can be used as long as they are portable.
  • a memory stick, a floppy disk, a CD-R, and the like are also preferable.
  • a recording medium such as a removable hard disk may be used.
  • the image acquisition means such as the digital camera 10 is a recording medium on which image information can be written.
  • the recording medium reading means 40 is constituted by a drive device for reading and writing a compact flash smart medium, a memory stick, and the like, and a driver program for driving the drive device.
  • a feature of the fifth embodiment is that the e-mail communication unit 42 is connected to the feature amount calculation unit 14.
  • the e-mail communication means 42 receives an e-mail via a communication line such as the Internet. Then, the input image information included in the e-mail is extracted and supplied to the feature amount calculating means 14. According to such a configuration, the characteristic amount calculating means 14 calculates the characteristic amount based on the supplied input image information. Even if the digital camera 10 is not directly connected to the image identification device 38, the input image Information can be provided to the image identification device 38.
  • the user first captures an image using the digital camera 10 or the like, and stores the captured input image information in a notebook computer or the like at the location where the capture was performed. next, The user uses the communication function of a notebook computer or the like to send an e-mail with the obtained input image information attached to the image identification device.
  • the e-mail communication means 42 receives an e-mail transmitted via a communication line such as the Internet. Then, the input image information attached to the e-mail is extracted and supplied to the feature amount calculating means 14. The following operation is the same as that of the first embodiment, and the image identification device 38 obtains attribute information and the like as the result of image identification.
  • the e-mail communication means 42 has a function of returning the obtained attribute information and the like using an e-mail. That is, the electronic mail communication means 42 returns an electronic mail including the attribute information and the like obtained by the search means 16 to the destination to which the input image information has been sent. The user can know the attribute information by looking at the returned e-mail.
  • the image receiving means and the attribute information transmitting means of the present invention correspond to the e-mail communication means 42 of the fifth embodiment. Furthermore, the electronic mail transmitting means and the electronic mail receiving means of the present invention also correspond to the electronic mail communication means 42 of the fifth embodiment. It is preferable to comprise a modem or a terminal adapter or the like and electronic mail software.
  • the mobile communication means 44 is connected to the feature quantity calculation means 14.
  • the mobile communication means 44 is means for transmitting and receiving input image information and attribute information using a mobile communication line such as a mobile phone. Then, the mobile communication means 44 extracts the input image information received via the mobile communication line, and supplies it to the feature value calculation means 14.
  • the feature value calculating means 14 calculates the feature value based on the supplied input image information.
  • the input image information can be supplied to the image identification device 38 without connecting the digital camera 10 directly to the image identification device 38. That is, the user first captures an image using a digital camera 10 or the like, and transfers the captured input image information to the image identification device 38 using communication via a mobile phone. Send.
  • the mobile communication means 44 of the image identification device 38 receives the input image information transmitted via the mobile communication line. Then, the input image information is supplied to the feature amount calculating means 14. The following operation is the same as that of the first embodiment, and the image identification device 38 obtains attribute information and the like as a result of image identification.
  • the mobile communication means 44 has a function of returning the obtained attribute information and the like to the mobile phone via the mobile communication line.
  • the mobile communication means 44 returns the attribute information and the like obtained by the search means 16 to the other party to whom the input image information was sent. By looking at the above, you can know the attribute information.
  • mobile phones have become more sophisticated and have functions to display not only telephone functions but also various types of information.
  • the image receiving means and the attribute information transmitting means correspond to the mobile communication means 44 of the fifth embodiment.
  • the mobile terminal receiving means and the mobile terminal transmitting means of the present invention also correspond to the mobile terminal communication means 44 of the fifth embodiment.
  • the mobile communication means 44 includes a mobile phone, an adapter for performing data communication using the mobile phone, and the like.
  • the present invention it is possible to search for image information using the feature amount of an image, and to know attribute information of an object or a state represented by the image information. As a result, it is possible to realize an image identification device that can know the name of the work or the author of the work such as a painting based on the image information of the work such as a painting.
  • the image identification device is provided with a database, it is possible to know the attribute information based on the image information without accessing an external database.
  • image information can be quickly generated based on an object or state in front of the eyes, and attribute information of the object or state can be quickly known.
  • attribute information of the object can be known based on these image information. it can.
  • the freshness of fish and food can be included as attribute information, it is possible to know such freshness.
  • the database is provided with the database management means, even when accessing the database system via the communication line, it is possible to reduce the traffic volume of the communication line.
  • the database system of the present invention is provided with the database management means for retrieving the image information by the feature amount. Obtainable.
  • the present invention is a computer-readable recording medium storing a database having these special data structures, it is possible to search for image information from a computer using the feature amount of image information, Can also get information C
  • the input image information is read from a predetermined recording medium by a recording medium reading means. Therefore, the attribute information of the image can be known even when the place where the image is photographed and the image identification device are far apart.
  • an image identification device can be used from a remote place.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Library & Information Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Processing Or Creating Images (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Image Analysis (AREA)

Abstract

Des images d'oeuvres d'art sont reconnues pour identifier leurs informations d'attributs telles que le nom des artistes ayant produit les oeuvres. Une caméra numérique (10) prend des images d'une peinture (12) et produit les images numériques de la peinture. Un moyen d'extraction (14) de caractéristiques extrait les caractéristiques des images numériques de la peinture. Un moyen de récupération (16) compare les caractéristiques déterminées aux caractéristiques stockées dans une base de données (18) afin de trouver les informations d'images correspondant aux caractéristiques du tableau. Le moyen de récupération (16) lit les informations d'attributs relatives à l'image telles que le titre et le peintre, dans la base de données (18), et les envoie au moyen de sortie (20), lequel à son tour les fournit à un moyen d'affichage (22) afin de présenter le titre, le peintre et ainsi de suite. Les utilisateurs peuvent ainsi trouver les titres de peintures ainsi que les noms de peintres.
PCT/JP2000/003637 1999-09-27 2000-06-05 Systeme de reconnaissance d'images et systeme de base de donnees pour la reconnaissance d'images WO2001024050A1 (fr)

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AU49544/00A AU4954400A (en) 1999-09-27 2000-06-05 Image recognition system and database system for image recognition

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JP27212899A JP2001101191A (ja) 1999-09-27 1999-09-27 画像識別装置及び画像識別に用いられるデータベースシステム
JP11/272128 1999-09-27

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1393242A1 (fr) * 2001-05-18 2004-03-03 Leonard S. Schultz Procedes et appareils pour la reconnaissance d'images et pour la dictee
GB2404749A (en) * 2003-08-01 2005-02-09 Sec Dep Acting Through Ordance Information retrieval using smart symbols
WO2005086030A1 (fr) * 2004-02-26 2005-09-15 Ati Technologies, Inc. Systeme et procede de traitement d'images
US7136837B2 (en) * 2000-12-06 2006-11-14 Eastman Kodak Company Providing a discounted payment schedule for utilizing and deleting stored images
EP1569161A3 (fr) * 2004-02-20 2007-06-06 FUJIFILM Corporation Livre d'illustrations numérique et procédé de recherche dans un tel livre
EP2312466A1 (fr) * 2004-07-16 2011-04-20 Vodafone Holding GmbH Coordination et déroulement de jeux servant à des fins d'apprentissage, de divertissement et/ou de compétition
US8224077B2 (en) 2000-11-06 2012-07-17 Nant Holdings Ip, Llc Data capture and identification system and process
US8712193B2 (en) 2000-11-06 2014-04-29 Nant Holdings Ip, Llc Image capture and identification system and process
US8792750B2 (en) 2000-11-06 2014-07-29 Nant Holdings Ip, Llc Object information derived from object images
US9310892B2 (en) 2000-11-06 2016-04-12 Nant Holdings Ip, Llc Object information derived from object images
EP3128731A1 (fr) * 2015-08-03 2017-02-08 LG Electronics Inc. Terminal mobile et son procédé de commande
US10078636B2 (en) 2014-07-18 2018-09-18 International Business Machines Corporation Providing a human-sense perceivable representation of an aspect of an event
US10617568B2 (en) 2000-11-06 2020-04-14 Nant Holdings Ip, Llc Image capture and identification system and process

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8218873B2 (en) 2000-11-06 2012-07-10 Nant Holdings Ip, Llc Object information derived from object images
US7016532B2 (en) * 2000-11-06 2006-03-21 Evryx Technologies Image capture and identification system and process
JP2003010112A (ja) * 2001-06-28 2003-01-14 Olympus Optical Co Ltd 内視鏡システム
JP2003067739A (ja) * 2001-08-28 2003-03-07 Monolith Co Ltd 画像変換方法および装置
JP2003345815A (ja) * 2002-05-28 2003-12-05 Jiishisu:Kk Ｕｒｌ検索サーバ及びｕｒｌ検索システム並びに画像加工サーバ及び画像加工システム
US7340079B2 (en) 2002-09-13 2008-03-04 Sony Corporation Image recognition apparatus, image recognition processing method, and image recognition program
CN101133429B (zh) * 2005-03-01 2010-10-06 公立大学法人大阪府立大学 文档和/或图像检索方法、文档和/或图像存储设备和检索设备
US8036497B2 (en) 2005-03-01 2011-10-11 Osaka Prefecture University Public Corporation Method, program and apparatus for storing document and/or image using invariant values calculated from feature points and method, program and apparatus for retrieving document based on stored document and/or image
JP2007079784A (ja) * 2005-09-13 2007-03-29 Hiroshima Univ デジタルアーカイブデータの表現変換システム
JP4831314B2 (ja) * 2006-01-26 2011-12-07 株式会社ニコン 対象物認識システム
JP4883171B2 (ja) * 2009-11-18 2012-02-22 ソニー株式会社 情報処理システム
JPWO2013115203A1 (ja) * 2012-01-30 2015-05-11 日本電気株式会社 情報処理システム、情報処理方法、情報処理装置およびその制御方法と制御プログラム、通信端末およびその制御方法と制御プログラム
CN103150554B (zh) * 2013-02-08 2016-12-28 北京盛世融宝国际艺术品投资有限公司 书画作品保真鉴定方法
CN103646571A (zh) * 2013-12-11 2014-03-19 步步高教育电子有限公司 一种物体信息识别展示的方法和设备
JP6418552B2 (ja) * 2014-03-18 2018-11-07 パナソニックＩｐマネジメント株式会社 保存環境情報出力方法、保存環境情報出力装置、及び、制御プログラム
WO2015159417A1 (fr) * 2014-04-18 2015-10-22 株式会社日立製作所 Système pour retrouver des documents à l'aide d'images capturées
CN206039035U (zh) * 2016-05-26 2017-03-22 尹毅 一种磁性放大器

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH054274U (ja) * 1991-07-01 1993-01-22 宏英 布施 図鑑検索用映像コード
JPH05242254A (ja) * 1992-02-27 1993-09-21 N T T Data Tsushin Kk 画像処理装置
JPH1091634A (ja) * 1996-08-15 1998-04-10 Hewlett Packard Co <Hp> 写真画像検索システム
JPH10254903A (ja) * 1997-03-14 1998-09-25 Omron Corp 画像検索方法および装置
JPH10254901A (ja) * 1997-03-14 1998-09-25 Omron Corp 画像検索方法および装置
JPH10275211A (ja) * 1997-03-28 1998-10-13 Sony Corp 画像の特徴データ作成装置及び方法並びに画像データの検索装置及び方法
JPH10334117A (ja) * 1997-05-28 1998-12-18 Nissha Printing Co Ltd 類似画像検索プログラムを記録したコンピュータ読み取り可能な記録媒体
JPH1188421A (ja) * 1997-09-05 1999-03-30 Nec Corp 電子メールを利用した携帯端末でのデータ活用方法

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH054274U (ja) * 1991-07-01 1993-01-22 宏英 布施 図鑑検索用映像コード
JPH05242254A (ja) * 1992-02-27 1993-09-21 N T T Data Tsushin Kk 画像処理装置
JPH1091634A (ja) * 1996-08-15 1998-04-10 Hewlett Packard Co <Hp> 写真画像検索システム
JPH10254903A (ja) * 1997-03-14 1998-09-25 Omron Corp 画像検索方法および装置
JPH10254901A (ja) * 1997-03-14 1998-09-25 Omron Corp 画像検索方法および装置
JPH10275211A (ja) * 1997-03-28 1998-10-13 Sony Corp 画像の特徴データ作成装置及び方法並びに画像データの検索装置及び方法
JPH10334117A (ja) * 1997-05-28 1998-12-18 Nissha Printing Co Ltd 類似画像検索プログラムを記録したコンピュータ読み取り可能な記録媒体
JPH1188421A (ja) * 1997-09-05 1999-03-30 Nec Corp 電子メールを利用した携帯端末でのデータ活用方法

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US7136837B2 (en) * 2000-12-06 2006-11-14 Eastman Kodak Company Providing a discounted payment schedule for utilizing and deleting stored images
EP1393242A4 (fr) * 2001-05-18 2007-06-06 Leonard S Schultz Procedes et appareils pour la reconnaissance d'images et pour la dictee
EP1393242A1 (fr) * 2001-05-18 2004-03-03 Leonard S. Schultz Procedes et appareils pour la reconnaissance d'images et pour la dictee
US7613336B2 (en) 2001-05-18 2009-11-03 Schultz Leonard S Methods and apparatus for image recognition and dictation
GB2404749A (en) * 2003-08-01 2005-02-09 Sec Dep Acting Through Ordance Information retrieval using smart symbols
GB2404749B (en) * 2003-08-01 2005-10-05 Sec Dep Acting Through Ordnanc Smart symbols
EP1569161A3 (fr) * 2004-02-20 2007-06-06 FUJIFILM Corporation Livre d'illustrations numérique et procédé de recherche dans un tel livre
US7882141B2 (en) 2004-02-20 2011-02-01 Fujifilm Corporation Digital pictorial book sytstem, pictorial book searching method, and machine readable medium storing thereon pictorial book searching method
WO2005086030A1 (fr) * 2004-02-26 2005-09-15 Ati Technologies, Inc. Systeme et procede de traitement d'images
US8874596B2 (en) 2004-02-26 2014-10-28 Ati Technologies Ulc Image processing system and method
US7624123B2 (en) 2004-02-26 2009-11-24 Ati Technologies, Inc. Image processing system and method
EP2312466A1 (fr) * 2004-07-16 2011-04-20 Vodafone Holding GmbH Coordination et déroulement de jeux servant à des fins d'apprentissage, de divertissement et/ou de compétition
US10078636B2 (en) 2014-07-18 2018-09-18 International Business Machines Corporation Providing a human-sense perceivable representation of an aspect of an event
US9674448B2 (en) 2015-08-03 2017-06-06 Lg Electronics Inc. Mobile terminal and method for controlling the same
EP3128731A1 (fr) * 2015-08-03 2017-02-08 LG Electronics Inc. Terminal mobile et son procédé de commande

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