JP2002074032A - Commodity-selling method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To confirm the present state of a commodity and to enable a customer to make in assured manner purchase a favorite commodity by presenting a real-time image of the displayed commodity on a Web page. SOLUTION: Commodities which degrade with the elapsed time such as perishable foods are displayed in plural pieces, even for commodities having the same commodity name, their real-time images are presented to customers via a network, and the commodities are provided to the customer by selection of the customer from the displayed commodities. Thereby, the customers can select and purchase their favorite commodities same as purchasing over a counter in a supermarket.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a merchandise selling method in which a customer selects and purchases a desired merchandise via a network.

[0002]

2. Description of the Related Art In recent years, it has become easy to browse homepages on the Internet, and the number of users has rapidly increased. The homepage is permeating as a tool for shopping as well as browsing various information. For example, a book is ordered on the Internet and paid by card, so that a desired book is delivered to a home in a few days. Thanks to this simplicity, book sales have improved significantly.

For example, in the electronic shopping apparatus described in Japanese Patent Application Laid-Open No. 9-231274, a customer designates a product on a network, enters a corresponding tenant, watches or walks, purchases a product, It is an object of the present invention to realize a device that can refer to the displayed past history information and purchase a product that matches the history information. According to the purchase search condition notified from the client terminal, a search is performed by the search unit using a combination of a search unit that notifies the client terminal of information of a tenant that provides the corresponding product to the client terminal and image information indicating each tenant. And display means for notifying the client terminal of visual display information composed of image information for each of the plurality of tenants.

In the electronic shopping apparatus described in Japanese Patent Application Laid-Open No. 9-282367, when a member E having an ID number applies for purchase of goods to a shop C through a network,
After receiving the contact from the shop C, the purchase broker D confirms the purchase intention to the member E through the network and then notifies the shop C of the sales approval, and the virtual shop C provides the member E with the goods. Then, the financial institution A receives the payment data from the purchase broker D, pays it to the account of the shop C, and debits the data from the purchase broker D.
Withdraw the purchase price from the account of the member E to the account of the purchase broker D based on the data. In this manner, a purchase mediation apparatus is provided which can purchase goods by using a network without using a card, and can also settle the merchandise through a purchase mediator.

[0005] In the conventional electronic shopping apparatus described in Japanese Patent Application Laid-Open No. 9-231274 and Japanese Patent Application Laid-Open No. 9-282367, there is a device that allows users to enjoy shopping even in a remote place, including a settlement method for commodities. Although it is applied,
In any of the apparatuses, the image of the product that can be browsed on the Internet homepage is only a still image in which the entire image of the product is captured. When a product has a large individual difference or changes every moment, it is difficult to understand the state of the product only from a still image of the product.

As an example of a commodity that changes from moment to moment, there is a fresh food product. Since fresh foods gradually mature and become less fresh, the current state of fresh foods, such as apple redness and ripeness, cannot be known from still images alone.

FIG. 7 shows an example of such a conventional home page. For example, even if only clothes are still images, the products actually purchased and delivered are almost the same as the images. However, in the image of a fresh food product such as an apple, only a typical apple image is displayed. Therefore, when a customer purchases an apple product, a green apple that is not yet ripe is used. Often, an apple that is not the customer's preference arrives, such as an apple with a slightly brownish scratch.

[0008]

Conventionally, when a product has a large difference between individuals or changes from moment to moment, for example, even in the case of fresh foods, etc., it is difficult to find a product on a homepage or a printed catalog. Only the representative images are presented, and the products actually purchased and delivered are often very different from the products on the homepage.

For example, depending on the taste and convenience of the customer, whether apple products are not mature yet bluish or completely mature red are good.
and so on. Also, for the same Kobe beef product, there are such things as whether more fat is better or less fat. In fact, in supermarkets and the like, products are selected from such a viewpoint.

[0010] However, the product introduced on the homepage is only one representative apple image, and the customer cannot select the product, and the product is often disappointing. Moreover, since it is a perishable food product, it is often not allowed to return it, and customers have to forcibly eat what they do not like.

According to the present invention, for example, an apple is displayed like a supermarket, and a real-time image of the displayed apple is displayed on a homepage, so that the current state of the product can be confirmed. The purpose is to be able to purchase a desired product with confidence because the user can purchase the product specified by himself.

Another object of the present invention is to take a still image of an apple displayed at regular intervals instead of real-time video and update the image on the homepage at regular intervals.

[0013]

SUMMARY OF THE INVENTION According to the present invention, a plurality of products, such as fresh foods, which change with the passage of time are displayed even if they have the same product name, and a real-time image of the product is displayed on a network. And presents the product to the customer by selecting the customer from among the displayed products, whereby the customer can go to a store such as a supermarket and purchase the product. In exactly the same way, you can select and purchase your favorite individual.

[0014]

DESCRIPTION OF THE PREFERRED EMBODIMENTS According to the first aspect of the present invention, a plurality of products that change with time are displayed even if they have the same product name, and a real-time image of the product is displayed via a network. And presenting the product to the customer by providing the product to the customer by selecting the customer from the displayed products. The present method changes the current state of the product with time. The customer can grasp and select from the displayed items to purchase.

According to a second aspect of the present invention, there is provided the method for selling goods according to the first aspect, wherein the goods which change with time are fresh foods. Conventionally, only one still image of an apple was posted on the homepage, so it was completely unknown how the apples actually delivered to the customer's home were ripe. By displaying multiple sets like a supermarket and displaying their real-time images on the homepage so that customers can directly order and purchase the desired apples from these multiple sets of apples. Can get the ripe apples of his liking, that is, can purchase products that satisfy customers.

In the invention according to a third aspect of the present invention, the real-time image of the product is provided by automatically updating the image of the product at regular time intervals or receiving an instruction from the customer to update the image and information of the product. The method according to claim 1 or 2, wherein the customer can give an instruction of an image of the product and information, so that the latest information can be always obtained at the time of browsing.

The invention according to a fourth aspect of the present invention is characterized in that an instruction for a portion of the product to be enlarged and viewed is received from a customer, and an enlarged image of a desired portion of the product is presented to the customer according to the instruction. A method for selling goods according to any one of claims 1 to 3, wherein when selecting a product to be purchased from the displayed goods, an enlarged image of a place where the customer is concerned is obtained. Can be instructed to do so. For example, when you can see something like a scratch on an apple, you can request an enlarged image by pointing to that part to see if it is a real flaw by looking at the enlarged image of that part. This has the effect that the user can actually purchase the product after confirming the portion.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

(Embodiment 1) An example of a home page according to an embodiment of the present invention will be described with reference to FIG.

In FIG. 1, a product 6 of a pack of four apples
Assume that a pair has been presented. These images are real-time images shot by a shooting device installed beside the apple or still images rewritten at regular intervals. The customer selects the product 101 with the desired shape and color from the same package of four apples,
Press the purchase button. When the purchase button is pressed, a delivery instruction for the "pack of four apples" 101 at the sales company is issued,
Payment is made.

Since the four packs of 101 apples specified by the customer have been delivered to the customer, another four packs of apples are newly placed at that position.

When the image and information on the homepage are rewritten at regular intervals, the customer presses the "update to latest information" button 102 to take an image of the current product and display the image.

FIG. 2 is a block diagram showing the configuration of the merchandise selling apparatus according to the first embodiment of the present invention.

As a method for solving the problem of colors reproduced on a display, in the field of color image processing, when an image is transferred between an image input device and an image output device, the image is input from the image input device. The concept of color management in which the color of an image is converted into a device-independent color space using the color characteristics of the input device, then converted to the image output device color space, and then output from the image output device. Is spreading. In the present embodiment, by introducing this mechanism, the accurate color of the product can be presented to the customer.

Reference numeral 201 denotes an information processing means of a sales company, which may be a large computer, a workstation, or a personal computer. Reference numeral 202 denotes information processing means at the customer's home, which may be a workstation, a personal computer, a mobile terminal, a mobile phone using i-mode, or the like. 203
Is a communication means for connecting the sales company and the information processing means at the customer's home, and may be the Internet, an intranet, an ATM, a mobile phone network, or the like.

Next, 204 is a close-up photographing device for photographing a still image of an enlarged image of the product, 205 is a whole image photographing device for photographing a still image of the entire image of the product, and 206 is a video for photographing a moving image of the product. 207, 208, 209
Are images and videos shot by the shooting devices 204, 205, and 206. 210, the respective images 207 to 209 are first displayed on the editing display using the color characteristics of each photographing device and the editing display, and the editor edits the image and completes it as a homepage image. This is color conversion editing processing means for converting an image into a device-independent color space representation and outputting the result. 211 is a homepage storage unit that stores the product image homepage (hereinafter, referred to as HP) obtained by the color conversion editing processing unit 210 so that customers can access it. 212 is a device obtained by the color conversion editing processing unit 210. Is a product image HP expressed in a color space that does not depend on.

213 is a merchandise display processing means for converting the merchandise image HP212 transferred from the sales company in a device independent color space expression into a color space expression of a browsing display 218 on which the customer displays merchandise; A browsing display for displaying a product image; 216, a product ordering means used when a customer purchases a product; 217, a product ordering signal; 218, an order processing means for receiving a product ordering signal and issuing a settlement and home delivery instruction for the product; Reference numeral 219 denotes information updating means for instructing the product image and information to be updated to the latest, 220 denotes an enlarging part instructing means for instructing a part to be enlarged and viewed, and 221 denotes information updating means 219 and enlarging part instructing means 220 The instruction signal is transmitted to the information processing means 201 of the sales company via the communication means 203. Reference numeral 222 denotes an image capturing device 204 or 20 that captures a desired position of a product according to the instruction signal 221.
This is a photographing device control means for performing operations of moving the shutter 5 and 206 and releasing the shutter.

First, an apple as a product is photographed by the video photographing device 206, and the product moving image 209 is presented to the customer. Alternatively, the still image 208 of the apple is photographed at predetermined time intervals by the whole image photographing device 205, and the image is disclosed on a homepage and presented to the customer. If the customer wants to see the latest product image, the customer sends an instruction signal 221 for updating information to the sales company by the information updating means 219. Then, the photographing device control unit 222 of the sales company releases the shutter of the photographing device 205, acquires the latest image of the apple, and presents it to the customer.

When the customer wants to enlarge and view a desired part of the apple, he double-clicks a desired part of the desired apple among the plurality of products in FIG. By double-clicking, the enlargement section instructing means 220 operates, and information on the part is sent to the photographing apparatus control means 222. The close-up photographing device 204 is installed on a camera platform so that the photographing position can be changed. When an instruction signal 221 is output, the photographing device control means 222 causes the close-up photographing device 204 to photograph the region. To release the shutter and present the acquired image to the customer.

As described above, the following processing is performed until the images 207 to 209 photographed automatically or according to an instruction from the customer are presented on the display 214 of the customer.

First, the captured images 204, 205, and 2
Reference numeral 06 denotes a color conversion / edit processing unit 210, which is displayed on an editing display using the color characteristics of each photographing device and the display, and where necessary, an editor edits the image and completes it as a homepage image, thereby obtaining a device-independent color. Output after being converted to spatial representation. Here, the image of the color space expression independent of the device refers to an image of two types of expression, that is, XYZ tristimulus value expression and spectral reflectance expression.

Next, when the customer accesses the homepage, the product image HP of the XYZ tristimulus value expression in the device-independent color space expression is transferred from the homepage storage means to the information processing means 202 at the customer's home. A product image HP2 in a color space expression independent of the device in the product display processing means 213
Product image HP21 of display space expression for browsing 12
9 is sent to the browsing display 218, and the product image is displayed on the browsing display 218.

Thereafter, when the customer decides to purchase the product, the product ordering means 216 is used to output a product order signal 217.
To the order processing means of the sales company. Product ordering means 216
Can be easily realized by the button on the homepage of FIG. When the sales company receives the product order signal 217, it performs a product delivery instruction and a payment withdrawal process.

Next, a detailed description of each means will be given.

First, a detailed description will be given of the color conversion / edit processing means 210 which is a feature of the present invention. Color conversion editing processing means 21
At 0, color management for performing accurate color reproduction of the product is performed. However, when a plurality of images such as a moving image, an enlarged image, and a still image of a whole image of a product are subjected to color management processing, the amount of processing becomes enormous. For example, a problem occurs such that an image is not easily displayed.

Therefore, in the present invention, a high-precision color reproducing means, a low-precision color reproducing means, and three means for not performing color management are provided. Use them properly.

Here, as an example, since the color of a still image of a magnified image of a product is extremely important, high-precision color reproduction is performed, the still image of the whole image is reproduced with low precision, and the moving image is reproduced. Suppose that color management is not performed because the color is not so important. However, of course, if the color is important even in the still image or moving image of the whole image, high-precision color reproduction may be selected, which may be selected depending on the application and the processing capacity of the computer or network line used.

FIG. 3 is a block diagram of the color conversion / edit processing means 210. In FIG. 3, reference numeral 301 denotes a high-precision color reproduction image creating unit that performs a process for converting the product enlarged still image 207 to high-precision color reproduction close to the true color of the product, and 302 denotes a full product still image as a real product. A low-precision color reproduction image creating unit that performs processing for high-speed color reproduction with low accuracy slightly close to the color, 303 is a lighting selection unit that selects lighting for reproducing the product by the HP editor of the sales company, and 304 is lighting. Selection signal, 305 is an image in RGB space representation for editing display,
Reference numeral 306 denotes a display display unit for displaying an image on a display; 307, a display for editing; 308, a product information storage unit for storing information other than product images as a database; 310, color editing and size of a product image; HP editing means to add text information etc. as a homepage, such as geometric editing,
311 is a homepage with finished product images, 31
2 is a product image H which is an RGB display representation of an editing display.
P311 is an editing display image processing unit that converts P311 into a device-independent color space representation.

Before describing the operation, a color expression such as "display color space expression for viewing" will be described.

The display display color space representation is an RGB value (usually 0) given to drive the display for viewing.
To 255 RGB signals of 8 bits each). This RGB value is a value specific to the display, for example, an RGB value (25
Even if a red signal is given to a plurality of displays as (5,0,0), the colors emitted from each display are all different. On one display, (255,0,0) may be a fairly bright crimson red, and on another display it may be (255,0,0), a dark vermilion red. As described above, the drive RGB values of each device are set in a device-dependent color space (Device Dependent Color or less).
Call it C).

On the other hand, organization CI promoting color standardization
XYZ tristimulus values specified by E, Lab space, Luv space, CAM9
7s, or the color appearance model proposed by various research institutes, is not as ambiguous as DDC.

For example, if it is an XYZ tristimulus value, (0,100,0)
Is the only color in the world. Also, Lab space, L
The color appearance models proposed by uv space, CAM97s, or various research institutes are attribute values that are relatively determined by inputting the lighting conditions etc. around each device from the XYZ tristimulus values. These are color spaces that are independent of the surrounding environment conditions and devices.

Therefore, such a color is compared with the above-mentioned DDC to obtain a device independent color space (hereinafter referred to as a device independent color space).
IC).

Conventionally, an image taken by a photographing device is edited as it is by an image editing device and used as an image on a homepage. That is, RG obtained from the photographing device
Even though the B image was DDC, it was passed on to the display and displayed.

On the other hand, in the present invention, the correspondence between the RGB value (DDC) and the value of the DIC color space of each photographing device, which is an image input device, is stored in advance and stored as the color characteristics of each device. . Then, all of the obtained device RGB (DDC) is once converted to the DIC color space, and then the DI is converted using the color characteristics of the device.
By converting the C color space image to RGB (DDC) of the output device, it becomes possible to display on a display a product image that has been subjected to high-precision color reproduction close to the real color of the product.

Next, the operation of the block diagram of the color conversion / edit processing means 210 in FIG. 3 will be described.

If the input image is a product-enlarged still image, a high-precision color reproduction image creating means 3 for performing high-precision color reproduction
In step 01, an image dependent on the photographing device is color-converted with high precision into an image for an editing display. At this time, when it is desired to use a light other than the photographing light for the color reproduction of the product, the HP editor can select a desired light by the light selecting unit 303. For example, there is a case where a photograph was taken in a studio, but it is desired to reproduce color as a product color when illuminated by outside sunlight.

The high-accuracy color reproduction image creating means 301 will be described in detail with reference to FIG.

FIG. 4 is a block diagram of the high-precision color reproduction image creating means 301. 401 is a product enlarged still image 207
This is a photographing device color characteristic holding unit that holds the color characteristics calculated in advance of the close-up photographing device 204 that has photographed the image. The color characteristics of the photographing device are for associating the color space of the photographing device with the color space independent of the device. Reference numeral 403 denotes an input image processing means for converting a product enlarged still image into a DIC space because the product enlarged still image is in the RGB space of the photographing apparatus. Reference numeral 405 denotes a color obtained by viewing a product image expressed in the DIC space under illumination selected by an HP editor. Lighting calculation means 406 for converting into a representation; editing display color property holding means 406 for holding the color characteristics of the editing display; 408 a DIC space representation output from the lighting calculation means 405 using the color characteristics of the editing display. This is an editing display image reverse processing means for converting the product image into a product image in RGB space representation for displaying the product image on the editing display.

Here, it should be noted that the term “reverse processing” is generally referred to as converting a device-dependent color space to a device-independent color space, which is generally referred to as forward processing. Converting a device-independent color space into a dependent color space is referred to as reverse-direction processing. Therefore, in this document, it is also referred to as a display image reverse-processing unit for editing.

Next, the operation of the high-precision color reproduction image creating means 301 will be described in detail. An image 207 obtained from the close-up photographing device 204 is converted into a high-precision color-reproduced image creating unit 301.
First, the input image processing unit 403 uses the color characteristics 402 of the imaging device held in the imaging device color characteristic holding unit 401 to display the product image 40 in the DIC space expression.
4 is converted.

As the DIC color space expression, for example, the spectral reflectance of an object can be used. When the spectral reflectance is used as the DIC space, the spectral reflectance of the subject is estimated from the RGB signals of the imaging device.

An example of a method for estimating the spectral reflectance will be described. First, the RGB signal of the photographing device is converted into a signal corresponding to a gamma curve.
Using a dimensional conversion function, the data is converted to RGB values that have absorbed nonlinearity. The scalar RGB is the RGB value that has absorbed the nonlinearity.
I will call it.

This one-dimensional conversion function needs to be created in advance. There are various methods for creating the one-dimensional conversion function. For example, first, a gray scale chart is photographed by a photographing device. On the other hand, the luminance value of the same chart is measured by a colorimeter. Then, a curve obtained by taking the RGB response value of the photographing device of gray gradation on the horizontal axis and the luminance value on the vertical axis is a one-dimensional conversion function.

Next, the spectral reflectance of the object is estimated from the scalar RGB values. Spectral reflectance O (λ) and spectral distribution of illumination S (λ)
And the camera's RGB three-band spectral sensitivity C _R (λ), C
The relationship between _G (λ), C _B (λ) and the scalar RGB values (R ′, G ′, B ′) can be written as (Equation 1).

[0056]

(Equation 1)

Therefore, if the spectral sensitivity of the camera and the spectral distribution of the illumination are measured in advance, the spectral reflectance of the object becomes (Equation 1).
Can be estimated from the scalar RGB values on the left side of.

The spectral reflectance is estimated from three-dimensional RGB.
Even if estimation is performed every 10 nm in the visible light range, a value of about 30 dimensions is estimated, and an estimation error may increase. As a method for solving this problem, the spectral reflectance of the object is analyzed by principal component, and the maximum eigenvalue of the obtained principal component is calculated as 3%.
Assuming that the dimensions are O ₁ (λ), O ₂ (λ), and O ₃ (λ), the coefficients (a, b, c) of the principal components are unknown and (a, b, c ).

[0059]

(Equation 2)

By estimating the three variables in this way, the spectral reflectance of the object can be more stably estimated.

The description of the input image processing means 403 has been completed.

Next, the product image in the DIC space expression, that is, the spectral reflectance expression, output from the input image processing means 403 is input to the illumination calculation processing means 405, and the illumination represented by the illumination selection signal 304 selected by the HP editor ( For example, the spectral radiance is obtained by multiplying the spectral distribution of lighting at the shooting site, sunlight, indoor fluorescent lighting, etc.) by spectral reflectance. The obtained product image in the spectral radiance expression is input to the editing display image inverse processing means 408, where it is converted to the editing display RGB space expression.

Here, the conversion using the editing display color characteristic 206 performed by the editing display image inverse processing means 207 will be described in more detail. This process is proposed by the International Standards Institute for Color CIE to take the following procedure, for example.

First, XYZ tristimulus values are obtained by multiplying the spectral radiance by a color matching function determined by the CIE and integrating.

From the XYZ tristimulus values, first, a scalar RG is calculated by using the corresponding expression of the scalar RGB value of (Equation 3) and the XYZ tristimulus values.
Obtain the B value (R ', G', B ').

[0066]

(Equation 3)

In (Equation 3), (XR, YR, ZR) is the tristimulus value of the maximum emission color of red on the display, (XG, YG, ZG) is the tristimulus value of the maximum emission color of green on the display, XB, YB, ZB) are the tristimulus values of the maximum emission color of blue on the display, BlackXYZ = (Xbla
(ck, Yblack, Zblack) sets the display drive RGB to (0,0,0)
Is the tristimulus value when

Next, the scalar RGB value is multiplied by a one-dimensional conversion function corresponding to a gamma curve calculated in advance, and
RGB values for display.

Here, a method of creating a one-dimensional conversion function to be used will be described. First, gray tone data is displayed on a display, and its tristimulus value is measured by a colorimeter. XY
From the Z value (17 or 33 gradation data XYZ values), R ′, G ′, B ′ are obtained from (Equation 4). R ', G', B 'are called scalar RGB.

[0070]

(Equation 4)

Next, the relationship between the drive value R (divided by 255 and normalized to 0-1) and R ′ obtained by (Equation 4) is represented by the GOG model (Equation 5) (Gain, Offset, Gamma Model with three variables). The obtained function is the gradation curve of the display.

[0072]

(Equation 5)

Similarly, the relationship between G and G 'and the relationship between B and B' are applied to the GOG model to calculate a gradation curve.

The above processing is performed by the editing display image inverse processing means 408, whereby the editing display RG is displayed.
The product image 112 in the B space expression is obtained. Here, the editing display color characteristics 406 are RGB maximum emission and Bl
ACK and the parameters of the one-dimensional conversion function GOG model.

Returning to the description of the operation of the block diagram of FIG.
If the input image is a still image of the entire product, the low-precision color reproduction image creating means 302 for performing low-precision color reproduction converts the image depending on the photographing device into an image for editing display with low accuracy. At this time, when it is desired to use illumination other than photographing illumination for color reproduction of the product,
The editor can select a desired illumination by the illumination selection means 303. For example, there is a case where a photograph was taken in a studio, but it is desired to reproduce color as a product color when illuminated by outside sunlight.

The operation of the low-precision color reproduction image creating means 302 will be described. Since the low-precision version is characterized by a higher speed than the high-precision version, for example, in the procedure of the high-precision color reproduction image creation unit 301, one-dimensional conversion for converting an RGB signal of a photographing device into a scalar RGB value is performed. The processing can be skipped, and the speed can be increased by estimating the spectral reflectance by regarding the RGB signal of the image capturing apparatus as a scalar RGB value.

Finally, when the input image is a product moving image, the processing of the color reproduction image creating means 301 and 302 is not performed, and the RGB signal output from the video photographing device 206 is directly used as the editing display RGB signal. I reckon. In such a case, there is no process of reproducing the color of the product to the real color, and the color does not become the same color as the real color.

Editing display obtained by the above processing
Enlarged still images of products expressed in RGB space, whole still images,
The moving images 305 are respectively displayed on the display means 306.
Is displayed on the editing display 307. Then, only when necessary, the HP editor edits the size and color of the image and video using the HP editing means 117 while viewing the product image, and edits the price, size, and type of color of the product. The product information such as washing indication and stock availability is taken out from the product information storage means 308 and finished as a homepage. The color editing by the HP editing means 117 should be performed on a portion that does not hinder the color of the product, for example, the skin of a model wearing a clothing product.

The purpose of this embodiment is to reproduce the exact same color as the original on the customer's homepage browsing display, using the product image homepage edited by the HP editor on the editing display as the original. Has become.

By the above operation, the editing display RG
A homepage 311 containing a product enlarged still image, an entire still image, and a moving image represented in the B space is created.

Next, the homepage 311 containing the edited product enlarged still image, the whole still image, and the moving image represented in the editing display RGB space is again independent of the device by the editing display image processing means 312. Converted to color space. Editing display image processing means 3
The operation of 12 is the display image reverse processing means 40 for editing.
8 is the reverse of the procedure. That is, the product enlarged still image and the entire product still image in the display space representation for editing are calculated as scalar RGB values from the driving RGB of the display by the one-dimensional conversion function of (Equation 5). The XYZ tristimulus values and the spectral reflectance in the DIC space are calculated from the scalar RGB values, and are output from the color conversion editing processing means.

On the other hand, the commodity moving image is not processed by the editing display image processing means, and
The RGB values are used directly as DIC space.

XYZ obtained by the color conversion editing processing means 210
The product image in the tristimulus value expression and the spectral reflectance expression is stored in the homepage storage unit 211 as a homepage.
The homepage storage means 211 can be, for example, a hard disk of a sales company.

Next, a process in which the customer enjoys electronic shopping from the home computer via the communication means 203 with reference to the homepage stored in the homepage storage means 211 in the sales company information processing means 201 will be described.

At that time, first, the product image HP212 represented by the XYZ tristimulus values in the DIC space is read from the homepage storage means 211 and transmitted. And DI
The product image HP212 in the C space representation is input to the product display processing means 213, converted into an RGB space representation 219 of a browsing display used when a customer browses a homepage, and displayed on the browsing display 218. Current,
What is displayed on the browsing display is the color when the product is viewed under the illumination selected by the HP editor. The customer looks at the entire still image of the product displayed on the browsing display, first looks at a certain product, and then wants to display a PR movie of the product or view the entire still image in more detail Click a part to display its enlarged still image.

Here, the product display processing means 213 will be described in detail with reference to FIG.

In FIG. 5, reference numeral 501 denotes an enlarged still image obtained by performing a high-precision color reproduction process on a product image transmitted by a communication unit, or an entire still image obtained by performing a low-precision color reproduction process, or A processing accuracy determining means 505 for determining whether a moving image has not been subjected to color reproduction processing. A display space representation for browsing the enlarged still image HP determined to have undergone high-precision color reproduction processing by high-precision color reproduction processing. A high-precision browsing display image creating unit 506 that converts the entire still image HP determined to have undergone low-precision color reproduction processing into a display space representation for browsing with low-precision color reproduction processing. Display image creation means.

The operation of the block diagram will be described.

First, the processing accuracy determining means 501 determines whether the product image HP212 transmitted by the communication means is an enlarged still image that has undergone high-precision color reproduction processing, or an entire still image that has undergone low-precision color reproduction processing. It is determined whether the image or the moving image has not been subjected to the color reproduction process. After the determination, if the enlarged still image has undergone high-precision color reproduction processing, it is input to the display image creation means 505 for high-precision viewing, and if the entire still image has undergone low-precision color reproduction processing, it is low-precision viewing. Input to the display image creation means 506,
In each means, the product image represented by the XYZ tristimulus values is converted into the product image HP219 in the display space for viewing. On the other hand, in the case of a moving image, the product image HP transmitted by the communication means is expressed in RGB space.
Considering the GB value as an RGB signal that drives the browsing display as it is, the product image H expressed in the browsing display space
Output as P. In other words, the moving image does not perform any color reproduction processing, and the transmitted RGB values are displayed as they are. Therefore, the color is not accurate, but the image is displayed at high speed.

Next, details of the display image creating means 505 for high-precision browsing will be described with reference to FIG. FIG. 6 is a block diagram of the display image creating means 505 for high-precision browsing. Reference numeral 601 denotes an illumination calculation unit that calculates XYZ tristimulus values by applying a desired illumination to a product image HP502 expressed by a color space expression independent of a device, that is, a product image HP502 expressed by a spectral reflectance. As for lighting, those that make products such as apples look more delicious are often used in supermarkets. Therefore, the illumination used here may be selected as such illumination, may be used as illumination when photographing a product, or may be any illumination. Alternatively, among the product images in color space representation independent of the device transmitted by the communication means, XYZ
The image expressed by the tristimulus values is selected and the illumination calculation means 60
1 is output. Next, the browsing display image reverse processing means 604 outputs the product image HP expressed by the XYZ tristimulus values.
Into a display space representation for viewing. The operation of the browsing display image reverse processing means 604 is exactly the same as the operation of the editing display image reverse processing means 408.

Next, the processing of the low-accuracy browsing display image creating means 506 will be described. The processing of the display image creating means 506 for low-precision browsing is, for example, the processing of the one-dimensional conversion function (GOG function) is omitted in the reverse processing means 604 for browsing display image of the processing of the display image creating means 505 for high-accuracy viewing. It can be realized by doing. By omitting this processing, it is possible to perform high-speed color conversion processing with lower color accuracy than the high-accuracy viewing display image creating means.

Through the above procedure, the entire still image, the enlarged still image, and the moving image of the product are displayed as a home page on the display 218 of the customer.

In the above embodiment, the enlarged still image is subjected to a high-precision color reproduction process, the entire still image is subjected to a low-precision color reproduction process, and the moving image has a higher color importance than the still image. If the color is important even in a moving image, or if the processing speed of the processing device is sufficiently high, a high-precision Color reproduction processing may be performed.

Also, in the present embodiment, in the color management processing of the photographing apparatus and the display, high-precision color reproduction processing is performed for the enlarged still image and low-precision color reproduction processing is performed for the entire still image. The reproduction process was not performed, but the enlarged still image, whole still image,
All the images of the moving image are subjected to high-precision color reproduction processing at the sales company, and only when displayed on the browsing display in accordance with the capability of the information processing means at the customer's home.
The accuracy to be performed by each image may be determined by the processing accuracy determining means in, and a different color reproduction process may be performed for each image.

In this embodiment, an example in which the state of a commodity changes every moment like fresh food is shown. However, not only fresh food, but also hand-made pottery can be used. For example, the present invention can be applied to products having different textures, that is, products having large individual differences. In such a case, since it is not necessary to shoot a moving image, the close-up shooting device 204 or the whole image shooting device 2
The still image taken at 05 may be displayed and displayed as shown in FIG. At this time, objects that are close to works of art, such as pottery,
Since it is important that the color is the same as the real color, high-precision color reproduction processing should be performed after multiple-precision color reproduction processing.

As described above, according to the present embodiment, for example, such as a fresh food product or a single product, a product has a large individual difference, or its shape and color change every moment. In such a case, images of a plurality of products having the same product name are continuously photographed by a video photographing device or intermittently photographed as a still image so that these images or images can be browsed on a homepage. By allowing customers to specify and purchase the desired product from among multiple products, products that meet the customer's detailed needs, such as fresh food, such as a little more blue apples Can be sold.

[0097]

As described above, according to the present invention, a plurality of products having the same product name are displayed and their real-time images are presented to the customer via the network.
Just like going to a store such as a supermarket and purchasing a product, you can select and purchase your favorite individual.

[Brief description of the drawings]

FIG. 1 is a diagram showing an example of a homepage according to a first embodiment of the present invention.

FIG. 2 is a block diagram of a product sales device according to the first embodiment;

FIG. 3 is a color conversion editing processing unit 21 according to the first embodiment;
Block diagram of 0

FIG. 4 is a block diagram of a high-precision color reproduction image creation unit 301 according to the first embodiment;

FIG. 5 is a product display processing unit 213 according to the first embodiment.
Block diagram of

FIG. 6 is a block diagram of a display image creating unit for high-precision browsing according to the first embodiment;

FIG. 7 shows a conventional example of a home page.

[Description of Signs] 201 Sales company information processing means 202 Customer home information processing means 203 Communication means 204 Close-up photography apparatus 205 Overall image photography apparatus 206 Video photography apparatus 210 Color conversion editing processing means 211 Homepage storage means 212 Product image in DIC space representation HP 213 Product display processing means 214 Browsing display 215 Browsing display space representation product image HP 216 Product ordering means 217 Product ordering signal 218 Order processing means 219 Information updating means 220 Magnifying unit instruction means 221 Instruction signal 222 Imaging device control means 301 High-precision color reproduction image creation means 302 Low-precision color reproduction image creation means 303 Illumination selection means 306 Display display means 307 Editing display 308 Product information storage means 310 HP editing means 312 Editing display image processing means Step 401 Photographing device color characteristic holding unit 403 Input image processing unit 405 Illumination calculation unit 406 Editing display color characteristic holding unit 408 Editing display image inverse processing unit 501 Processing accuracy discriminating unit 505 High-precision viewing display image creating unit 506 Low accuracy Viewing display image creating means 601 Lighting calculation means 602 Viewing display color characteristic holding means 604 Viewing display image inverse processing means

Claims (4)

[Claims] 1. A plurality of products that change with the passage of time are displayed even if they have the same product name, and a real-time image of the product is presented to a customer via a network. A product sales method characterized by providing a product to a customer according to the customer's selection. 2. The merchandise that changes over time,
The method for selling goods according to claim 1, wherein the goods are fresh foods. 3. The real-time image of the product is provided by automatically updating the image of the product at regular time intervals or receiving an instruction from a customer to update the image and information of the product. Product sales method described. 4. The apparatus according to claim 1, wherein an instruction of a portion of the product to be enlarged and viewed is received from a customer, and an enlarged image of a desired portion of the product is presented to the customer according to the instruction. Product sales method described in.