JP7159669B2 - Delivery device, program, delivery system - Google Patents

Description

The present invention relates to a distribution device, program, and distribution system.

Multifunctional electronic blackboards have come to be used in offices and the like. The electronic blackboard can share materials displayed on the screen of a connected personal computer, handwrite on materials, display web pages, and share display contents with electronic blackboards at other sites. It is also possible to make voice calls and record voices with other bases. Electronic blackboards are widely used not only for meetings but also for organizing thoughts and creating images using large screens.

The screen displayed by the electronic blackboard can be saved in a file as a screenshot, and the electronic blackboard can not only be displayed or printed again, but also can be distributed by e-mail, etc., making it easy to create and distribute meeting minutes. Become.

For example, a PC that has captured image data generated by a screenshot performs image processing such as noise removal on the image data, or processing to convert it to a predetermined data format, and sends the processed image to the members who participated in the meeting. A technique of distributing data has been disclosed (see, for example, Patent Document 1).

However, the conventional technique has a problem that it is impossible to process image data according to the writer's request. For example, specific processing (emphasis, deletion, etc.) can be performed on the upper side of a hand-drawn line (drawing image) or the part surrounded by a frame (drawing image), or the delivery method and delivery destination can be specified based on the handwritten drawing image. It is difficult to do

SUMMARY OF THE INVENTION It is an object of the present invention to provide a delivery apparatus capable of performing processing on image data in accordance with a writer's request.

In view of the above problems, the present invention provides a distribution apparatus for distributing image data transmitted from an electronic blackboard, comprising: receiving means for receiving the image data and color information of a drawn image written in the image data; a drawn image detecting means for detecting the drawn image from the image data based on color information; a processing method determining means for determining a processing method for the image data based on the drawn image detected by the drawn image detecting means; processing means for determining an object to be processed in the image data based on the drawn image detected by the drawn image detecting means, and processing the object by the processing method determined by the processing method determining means; distribution means for distributing the image data in which the object has been processed by means to a distribution destination ; location specifying means for specifying the location of the drawn image detected by the drawn image detection means ; The shape of the image and the processing method of the object associated with the location of the drawn image, the color of the drawn image, the shape of the drawn image, and the distribution destination of the object at the location of the drawn image. and a processing method storage section associated with the processing method determining means, wherein the processing method determining means stores the color of the drawn image, the shape of the drawn image, and the shape of the object associated with the location of the drawn image. The processing method is acquired from the processing method storage unit, and the distributing unit associates the color of the drawn image, the shape of the drawn image, and the location of the drawn image with the processing method storage unit. To provide a distribution device characterized by distributing the image data in which the object is processed to a distribution destination .

It is possible to provide a distribution device that can process image data according to the writer's request.

It is an example of the figure explaining the outline of operation|movement of the delivery system of this embodiment. 1 is an example of a schematic configuration diagram of a distribution system; FIG. 1 is a hardware configuration diagram of an example of a computer system; FIG. It is an example of the hardware block diagram of an electronic blackboard. FIG. 2 is an example of a functional block diagram showing functions of an electronic blackboard, a mail server, and a distribution server included in the distribution system in block form; FIG. 10 is a diagram illustrating an example of a method of registering drawn image attribute information associated with a workflow definition; FIG. 10 is a diagram showing an example of a workflow definition registration screen; FIG. 10 is an example of a diagram for explaining detection of a drawn image; It is an example of the figure explaining the identification method of the shape of a drawn image. It is an example of the figure explaining the location determination method of a drawn image. It is an example of the figure explaining the processing method called a partial color. It is an example of the figure explaining the processing method called fill-out. FIG. 10 is an example of a sequence diagram explaining the overall operation of the distribution system;

EMBODIMENT OF THE INVENTION Hereinafter, it demonstrates, referring drawings for the form for implementing this invention.

<Overview of distribution system operation>
FIG. 1 is an example of a diagram for explaining the outline of the operation of the delivery system of this embodiment. The user arbitrarily handwrites on the electronic blackboard 2 . A background image transmitted from a PC (Personal Computer) or the like may or may not be displayed on the electronic blackboard 2 .

(1) The electronic blackboard 2 transmits the image data created by the user as a screen shot to the distribution server 40 . In the image data, the drawn image 301 is handwritten by the user, and a color list (RGB values of each color) of colors handwritten in the drawn image 301 by the user is transmitted together with the image data.

(2) In the distribution server 40, the drawn image attribute information is associated with the workflow definition in advance. for example,
Drawing image attribute information: color (red) + shape (underline) + location (anywhere)
Workflow definition: It's like formatting + email transmission. This means that if the drawn image 301 is red and has an underlined shape, the underlined portion (the object above the underline) is printed in block form and sent by e-mail regardless of where the handwriting is. .

Therefore, the distribution server 40 detects the drawn image 301 from the image data. Then, drawn image attribute information is detected from the drawn image 301 . First, a drawing 301 can be obtained based on the RGB values of the colors handwritten by the user. Here, it is assumed that "red" is specified from the RGB values. Next, the distribution server 40 analyzes the shape of the drawn image 301 and detects, for example, an "underline". Since the number of drawn images 301 is not limited to one, it is determined whether or not each drawn image 301 has a shape registered in advance. Also, the distribution server 40 identifies the location of the drawn image 301 . Thus, the color, shape, and location of the drawn image 301 are drawn image attribute information.

(3) The distribution server 40 executes the workflow definition associated with the drawn image attribute information. For example, if the workflow definition is "formatting + mail transmission", the upper object (for example, characters) of the drawn image 301 is formatted. In FIG. 1(b), the character "kigen" is recognized and further converted into the kanji character "deadline". The distribution server 40 replaces the ``deadline'' of the image data with the ``deadline'' and sends it by e-mail.

In this way, the distribution server 40 can execute the workflow according to the drawn image 301 handwritten by the user. The user can register arbitrary drawn image attribute information and arbitrary workflow definition, and associate the drawn image attribute information with arbitrary workflow definition. The image data can be processed according to the user's detailed request, and can be transmitted to the distribution destination designated by the user in the drawn image 301 .

All of the colors, shapes, and locations are not necessarily required to execute the workflow, and the delivery server 40 can execute the workflow using only colors, colors and locations, or only colors and shapes. A color-only workflow is a workflow in which the drawn image detected by the color list is pre-determined, for example, as an underline, and the object near the underline is processed by a processing method determined by the color.

<Terms>
A workflow is one or more processes performed on electronic data such as image data, and the order of each process is often determined. It is not necessary that multiple processes are executed, and it is sufficient that one or more processes are included. Also, it does not have to be called a workflow, and may be called, for example, cooperative processing or continuous processing.

Distribution refers to distributing information to related parties or related organizations. The delivery destination may be a device or a person.

The color information of the drawn image is information for specifying the color of the drawn image. Since the drawn image is part of the image data, the color information is information specifying the pixel values of the image data. In the present embodiment, the terms "color list" and "RGB value" will be used.

Machining means adding work. In the present embodiment, it is processing of image data, so it may be called image processing or editing.

<System configuration example>
FIG. 2 is an example of a schematic configuration diagram of the distribution system 100 of this embodiment. The delivery system 100 has a mail server 20, a delivery server 40, an electronic blackboard 2, and a delivery destination device 60, which are connected via a network N.

The network N includes a LAN constructed at a site where the distribution server 40, the electronic blackboard 2 or the distribution destination device 60 is installed, a provider network of a provider that connects the LAN to the Internet, and a line provided by a line operator. etc. The network N may be a corporate network only or may include the Internet. In addition, VPN (Virtual Private Network) and Wide Area Ethernet (registered trademark) may be included. The network N may be constructed as either wired or wireless, or may be a combination of wired and wireless. Also, when connecting via a mobile phone network such as 3G, LTE (Long Term Evolution), or 4G, a LAN may be omitted.

The electronic blackboard 2 has at least a touch panel, takes in the strokes drawn by the user as point coordinates, and displays them on a large display. A drawn image is a collection of one or more strokes that have some meaning. In addition, the electronic blackboard 2 is connected to a PC and displays a screen displayed by the PC, a function to save the PC screen displayed by the electronic blackboard 2 and a drawn image, and a function to save the drawn image to another electronic blackboard 2 at a remote location. It has functions such as sharing with

An IP address and a port number of an SMTP (Send Mail Transfer Protocol) server are set on the electronic blackboard 2 . The electronic mail sent by the electronic blackboard 2 is once sent to this SMTP server, and the SMTP server transfers the electronic mail to the mail server 20 specified from the domain of the destination mail address.

The mail server 20 is a server for e-mail having at least the function of receiving e-mail. A protocol called POP (Post Office Protocol) is known as a function on the receiving side. The version currently in use is 3, so it is called POP3. A protocol called IMAP is also known. The difference between the two is the place where the e-mail is stored. In POP3, the receiving terminal side (distribution server 40 in this embodiment) receives and stores the e-mail, but in IMAP, the mail server 20 stores the e-mail. Either protocol may be adopted in this embodiment, but for convenience of explanation, POP3 will be assumed.

The mail server 20 stores electronic mail directly from the electronic whiteboard 2 or transferred from one or more SMTP servers using a protocol called SMTP. The electronic blackboard 2 sends an e-mail addressed to the mail address of the distribution server 40, but the SMTP server converts the mail address into the IP address of the POP3 server (mail server 20 of the present embodiment) using the DNS server. Transfer to POP3 server. Generally, the mail reaches the mail server 20 having the IP address set in the distribution server 40 through several routings. The distribution server 40 transmits a preset user ID and password to the mail server 20, and acquires an e-mail addressed to itself from the mail server 20 when authentication is established.

The distribution server 40 is an information processing device that performs image data distribution processing (an example of a distribution device). The distribution server 40 transmits the image data received from the mail server 20 to the distribution destination device 60 after processing the image data received from the mail server 20 by OCR (Optical Character Reader) processing, converting to PDF, etc., according to the workflow definition.

The distribution server 40 is set with the IP address and port number of the mail server 20 as a POP3 server or an IMAP server. A user ID (account) and password for authentication are also set. When the distribution server 40 accesses the mail server 20 at a predetermined timing, it is possible to receive e-mail addressed to the mail address of the distribution server 40 due to the establishment of authentication.

Note that the distribution server 40 can also be a multi-function device. The term "multifunction" of a multifunction device means having multiple functions such as printing, fax transmission/reception, document scanning, and copying, but in this embodiment, it is not necessary for the multifunction device to have multiple functions. . A multi-function device that also serves as the distribution server 40 may be called a printer, a printing device, a facsimile device, or a scanner device.

If the distribution server 40 is a multi-function machine, it may be used as an image data input means (scanner). In this case, the user inputs handwritten colors used in the document scanned by the scanner to the multifunction device. As a result, the same processing as the image data transmitted by the electronic whiteboard 2 can be performed.

The delivery destination device 60 is a delivery destination device to which the image data processed by the delivery server 40 is transmitted in the delivery system 100 . A client PC 60a, a tablet terminal 60b, and a server 60c are illustrated as examples of delivery destination devices, but the delivery destination is not limited to these, and may be, for example, a network storage. Any device having storage means and communication means can serve as the delivery destination device 60 . When the client PC 60a is the delivery destination device 60, the delivery server 40 transmits the image data to the delivery destination folder set in the workflow definition using a protocol such as SMB (Server Message Block). When the tablet terminal 60b is the delivery destination device 60, the delivery server 40 sends the image data to the mail address set in the workflow definition. When the server 60c is the delivery destination device 60, the delivery server 40 transmits the image data to the IP address of the server set in the workflow definition using a communication protocol such as HTTP, FTP (File Transfer Protocol), or WebDAV. Note that the combination of the delivery destination device 60 and the delivery method is merely an example.

It should be noted that the PC 60 is also used as an information processing device for the user to check the processing result of the image data based on the workflow definition. Similar confirmation is also possible on the electronic blackboard 2 .

<Hardware configuration>
<<Example of Hardware Configuration of Distribution Server and Mail Server>>
The distribution server 40 and the mail server 20 are implemented by a computer system having the hardware configuration shown in FIG. 3, for example. FIG. 3 is a hardware configuration diagram of an example of the computer system 200 according to this embodiment.

The computer system 200 shown in FIG. F 207 , HDD (Hard Disk Drive) 208 , etc., are connected to each other via a bus B, respectively.

The input device 201 includes a keyboard, mouse, touch panel, etc., and is used by the user to input various operation signals. The display device 202 includes a display and the like, and displays the processing result by the computer system 200 .

A communication I/F 207 is an interface that connects the computer system 200 to an in-house network, the Internet, and the like. Thereby, the computer system 200 can perform data communication via the communication I/F 207 .

The HDD 208 is a non-volatile storage device that stores programs and data. The stored programs and data include, for example, an OS (Operating System), which is basic software that controls the entire computer system 200, and application software that provides various functions on the OS. The HDD 208 manages stored programs and data using a predetermined file system and/or DB (database).

An external I/F 203 is an interface with an external device. The external device includes a recording medium 203a and the like. Thereby, the computer system 200 can read and/or write the recording medium 203 a via the external I/F 203 . The recording medium 203a includes a flexible disk, a CD (Compact Disk), a DVD (Digital Versatile Disk), an SD memory card, a USB memory (Universal Serial Bus memory), and the like.

The ROM 205 is a non-volatile semiconductor memory (storage device) that can retain programs and data even when power is turned off. The ROM 205 stores programs and data such as a BIOS (Basic Input/Output System) executed when the computer system 200 is started, OS settings, and network settings. A RAM 204 is a volatile semiconductor memory (storage device) that temporarily holds programs and data.

The CPU 206 is an arithmetic unit that realizes control and functions of the entire computer system 200 by reading programs and data from storage devices such as the ROM 205 and the HDD 208 onto the RAM 204 and executing processing.

Note that the mail server 20 and the distribution server 40 may be compatible with cloud computing. Cloud computing is a form of usage in which resources on a network are used without being conscious of specific hardware resources.

Further, even if the hardware configuration diagram of the distribution destination device 60 is the same as or different from that of FIG. 3, it will not hinder the explanation of the present embodiment.

<<Hardware configuration of the electronic blackboard>>
Next, the hardware configuration of the electronic blackboard 2 of this embodiment will be described with reference to FIG. Note that FIG. 4 is an example of a hardware configuration diagram of the electronic blackboard 2 .

As shown in FIG. 4, the electronic blackboard 2 includes a CPU 101 that controls the overall operation of the electronic blackboard 2, a ROM 102 that stores programs such as IPL used to drive the CPU 101, and a RAM 103 that is used as a work area for the CPU 101. , an SSD 104 for storing various data such as programs for the electronic blackboard 2 , a network controller 105 for controlling communication with the communication network 9 , and an external storage controller 106 for controlling communication with the USB memory 5 .

The electronic blackboard 2 also includes a capture device 111 for displaying video information as a still image or moving image on the display of the notebook PC 6, a GPU (Graphics Processing Unit) 112 that specializes in graphics, and an output image from the GPU. A display controller 113 is provided for controlling and managing screen display for output to the display 3 and the teleconference terminal 7 .

Further, the electronic blackboard 2 includes a sensor controller 114 that controls processing of the contact sensor 115 , and a contact sensor 115 that detects that the electronic pen 4 or the user's hand H or the like touches the display 3 . The contact sensor 115 performs coordinate input and coordinate detection using an infrared shielding method. In this method of inputting coordinates and detecting coordinates, two light emitting/receiving devices installed at both ends of the upper side of the display 3 radiate a plurality of infrared rays parallel to the display 3, and are provided around the display 3. This is a method of receiving light that is reflected by a reflecting member and returns along the same optical path as that of light emitted by a light receiving element. The contact sensor 115 outputs to the sensor controller 114 the ID (Identification) of the infrared rays emitted by the two light emitting/receiving devices blocked by the object, and the sensor controller 114 identifies the coordinate position that is the contact position of the object. All IDs shown below are examples of identification information.

Further, the contact sensor 115 is not limited to the infrared shielding type, and may be a capacitive type touch panel that identifies a contact position by detecting a change in capacitance, or a contact position by detecting a voltage change of two opposing resistive films. Various detection means may be used, such as a resistive touch panel for specifying, an electromagnetic induction touch panel for specifying a contact position by detecting electromagnetic induction generated when a contact object touches the display unit, and the like.

The electronic blackboard 2 also includes an electronic pen controller 116 . The electronic pen controller 116 communicates with the electronic pen 4 to determine whether or not the display 3 has been touched with the tip of the pen or the bottom of the pen. It should be noted that the electronic pen controller 116 may determine whether or not the part of the electronic pen 4 held by the user or other parts of the electronic pen 4 is touched, in addition to the tip and the pen butt of the electronic pen 4 .

Further, the electronic blackboard 2 includes an address bus for electrically connecting the CPU 101, ROM 102, RAM 103, SSD 104, network controller 105, external storage controller 106, capture device 111, GPU 112, sensor controller 114, and electronic pen controller 116. and a bus line 120 such as a data bus.

The program for the electronic whiteboard 2 may be recorded on a computer-readable recording medium such as a CD-ROM and distributed, or may be distributed from a program distribution server.

<About functions>
FIG. 5 is an example of a functional block diagram showing functions of the electronic blackboard 2, the mail server 20, and the distribution server 40 included in the distribution system 100 in block form.

<<Electronic Blackboard>>
The electronic blackboard 2 has an authentication section 11 , an image generation section 12 and an email transmission section 13 . These functions of the electronic blackboard 2 are realized by the CPU 101 of the electronic blackboard 2 shown in FIG. It is a function or a means.

Further, the electronic blackboard 2 has a user information DB 14 constructed in the SSD 104, RAM 103 or ROM 102 shown in FIG. The user information DB 14 stores information about users (for example, user IDs and passwords).

An authentication unit 11 authenticates a user. For example, the user is authenticated based on whether or not the password and user ID entered by the user are stored in the user information DB 14 . Either an IC card or biometric information may be used for authentication. The authentication may be performed by an authentication server. In this case, the authentication unit 11 transmits authentication information (password and user ID) to the authentication server and acquires the authentication result from the authentication server. Therefore, it does not have to have the user information DB 14 .

The image generator 12 takes in the screen displayed on the display 3 and generates image data. Taking in means generating image data of the screen displayed on the display 3 . Sometimes referred to as "capturing". The captured image data may include only the background image transmitted from the notebook PC or the like, only the drawn image, or include the background image and the drawn image. In this embodiment, a case where only a drawn image or image data including a background image and a drawn image is distributed will be mainly described. However, image data of only background images can also be delivered with the conventional workflow definition.

The mail transmission unit 13 sets the pre-registered mail address of the distribution server 40 as the destination. The subject and the sender's mail address (indicating the electronic whiteboard 2) are appropriately set. Further, the image data is attached to the e-mail and sent to a preset SMTP server. This SMTP server may be the mail server 20 in FIG. The user can edit the e-mail to edit the text (for example, a note such as confidentiality can be set in the e-mail text).

<<mail server>>
The mail server 20 has a mail reception unit 21 and a mail delivery unit 22 . These functions of the mail server 20 are functions or means implemented by the CPU 206 executing the program 209p developed in the RAM 204 from the HDD 209 shown in FIG. The program 209p may be distributed from a program distribution server, or may be distributed while being stored in a portable storage medium such as a USB memory or an optical storage medium.

The mail server 20 also has a mail storage DB 23 built in the HDD 209 or RAM 204 shown in FIG. Mail transmitted from each electronic whiteboard 2 is accumulated in the mail accumulation DB 23 .

表１はメール蓄積ＤＢ２３に記憶されているメールを模式的に示す。メール蓄積ＤＢ２３には、送信元メールアドレス、宛先メールアドレス、件名、本文、及び、添付ファイルの各項目がメールごとに記憶されている。送信元メールアドレスはメールを送信した電子黒板２のメールアドレスである。宛先メールアドレスは配信サーバ４０のメールアドレスである。件名は電子メールのタイトルであり、本文は電子メールの本文である。添付ファイルは、ユーザの操作により電子黒板２が取り込んだ画像データである。表１では１つのメールに複数の画像データが添付されているが、１つの画像データが取り込まれるごとに１つのメールに添付され送信されてもよい。

Table 1 schematically shows mails stored in the mail storage DB 23 . In the mail storage DB 23, each item of sender's mail address, destination mail address, title, text, and attached file is stored for each mail. The source email address is the email address of the electronic whiteboard 2 that sent the email. The destination mail address is the mail address of the distribution server 40 . The subject is the title of the e-mail, and the body is the body of the e-mail. The attached file is image data captured by the electronic blackboard 2 by user's operation. Although a plurality of image data are attached to one mail in Table 1, each time one piece of image data is captured, it may be attached to and sent to one mail.

When the image data attached to the e-mail is sent, the distribution server 40 determines whether the e-mail can be input to the workflow based on at least one of the source e-mail address, the destination e-mail address, the subject, and the text. to decide. For example, when the sender's mail address is the pre-registered electronic whiteboard 2, it is determined to be a workflow input. Also, if the subject contains "input for workflow", it is determined to be a workflow input. Also, if a color list is described in the text, it is determined to be a workflow input. Alternatively, all e-mails sent to distribution server 40 may be subject to the workflow.

The text describes a color list of colors set in the electronic pen used when the user draws the drawn image (that is, the colors of the drawn image). A color list is one or more RGB values. However, the color space may be sRGB, XYZ, HSK, HLS, Lab, or the like. For example, red RGB is generally "255 0 0", but in this embodiment, red RGB used for drawing a drawing image is determined as "255 01 01". As a result, the drawing image can be detected by distinguishing it from the red "255 0 0" of the background image. The same is true for blue, green, and other colors, and the colors used to draw the drawn image are RGB values that are not generally used. Since the number of possible colors is 256×256×256, it is possible to reduce the possibility that the color of the drawing image and the color of the background image match.

Returning to FIG. 5, description will be made. The mail receiving unit 21 receives e-mails sent by the electronic whiteboard 2 directly or via one or more SMTP servers. The mail reception unit 21 stores the acquired mail in the mail storage DB 23 .

When the distribution server 40 is authenticated by the user ID and password transmitted from the distribution server 40, the mail distribution unit 22 reads the mail addressed to the authenticated mail address of the distribution server 40 from the mail storage DB 23, and sends the mail to the distribution server 40. Send to Since the user ID is usually the part before @ in the mail address, the mail address of distribution server 40 can be easily specified. As a result, the distribution server 40 can acquire the mail addressed to itself and the image data attached to the mail.

<<Distribution server>
The distribution server 40 includes a program execution unit 41, a process execution unit 42, a confirmation request unit 43, a workflow definition determination unit 44, a location determination unit 45, a shape determination unit 46, a drawn image detection unit 47, an email acquisition unit 48, and a workflow It has a definition registration reception unit 49 . These functions of distribution server 40 are functions or means implemented by CPU 206 shown in FIG.

Further, the distribution server 40 has a definition information storage unit 50 constructed by the HDD 208, ROM 205, RAM 204, or the like shown in FIG. The definition information storage unit 50 stores one or more workflow definitions associated with drawn image attribute information.

表２（ａ）は、定義情報記憶部５０に記憶されているワークフロー定義の一例を示す。定義情報記憶部５０にはユーザごとにワークフロー定義が記憶されている。後述するようにユーザは所望のワークフロー定義を登録できる。

Table 2(a) shows an example of a workflow definition stored in the definition information storage unit 50. FIG. The definition information storage unit 50 stores a workflow definition for each user. As will be described later, the user can register a desired workflow definition.

In the definition information storage unit 50, each item of color, shape, location, processing, distribution flow, and detailed setting is associated and registered. Of these, color, shape and location are drawn image attribute information. Processing is an image processing method for image data, and how the electronic blackboard 2 distributes image data is set in the distribution flow. The detailed settings include the delivery destination address and the like. Table 2(b) shows each item of detailed setting. Note that "project 1" in the distribution flow indicates various project names, and means that the distribution is performed to the distribution destination associated with the project name. A project name is associated with, for example, the e-mail addresses of project participants.

The processing and delivery flows in Table 2(a) correspond to the workflow definition. A workflow definition is information that defines what kind of processing is applied to image data and where it is delivered.

Table 2(b) shows an example of detailed settings. The detailed settings have items of delivery path/address, user information, and domain. The delivery path/address is a delivery destination path for folder delivery, an e-mail address for mail delivery, or an IP address of a delivery destination server. The user information includes user authentication information, distribution authority information, and the like. The domain is authentication information used to limit the distribution source (distribution server 40) in folder distribution or FTP distribution.

Returning to FIG. 5, description will be made. The mail acquisition unit 48 transmits the user ID and password to the mail server 20 as described above and receives authentication. Get (receive) mail. The mail acquisition unit 48 sends the acquired e-mail to the drawn image detection unit 47 .

A drawn image detection unit 47 detects a drawn image from the image data attached to the e-mail based on the color list. A plurality of drawn images may be detected from one image data. The drawn image detection unit 47 sends the drawn image to the shape determination unit 46 .

The shape determination unit 46 determines which predetermined shape the shape of the drawn image can be regarded as. A discriminator obtained by pattern matching or machine learning may be used for this determination. When a predetermined shape is detected, the shape determination unit 46 sends the coordinates of the drawn image of the shape to the location determination unit 45 .

The place determination unit 45 determines where the drawn image is based on the coordinates of the drawn image having a predetermined shape. For example, upper right, lower right, upper left, lower left, etc. are determined. If a plurality of image data are attached, the page from which the drawn image was detected is also specified. The page number where the drawn image was detected is also treated as the location of the drawn image attribute information. The location determination unit 45 sends the location of each drawn image to the workflow definition determination unit 44 .

The workflow definition determination unit 44 acquires from the definition information storage unit 50 processing and distribution flows associated with the color, shape, and location of the drawn image. That is, it determines the workflow definition. Also, the coordinates, processing, and delivery flow of the drawn image are sent to the processing execution unit 42 . The coordinates of the drawn image are used to identify the object to be processed.

The program execution unit 41 has a plurality of pre-registered plug-ins 41-1, 41-2, . Each plug-in 41-i is executed according to the control from . The plug-in 41-i corresponds one-to-one with the processing and distribution flow of the workflow. The plug-in 41-i supports, for example, partial color, filling, OCR, PDF conversion, mail transmission, folder distribution, and the like. In principle, each plug-in 41-i performs different processing, but there may be plug-ins 41-i that perform the same processing.

The process execution unit 42 executes workflows. Since the processing execution unit 42 sequentially executes the processing and distribution flows, it sends the image data to the plug-in 41-i corresponding to these processes and requests the execution thereof. When the processed image data (which may be converted from the image data into data in another format) is acquired from the plug-in 41-i, the processing execution unit 42 sends the next plug-in 41-i corresponding to the distribution flow. Request delivery. In this way, the processing defined by the workflow definition can be executed on the image data transmitted from the electronic whiteboard 2 .

The confirmation request unit 43 requests the electronic blackboard 2 or the client PC 60a to confirm whether or not the processing result of the plug-in 41-i is appropriate, and obtains the confirmation result. For confirmation, for example, an e-mail and a URL described in this e-mail are used. The e-mail address of the electronic blackboard 2 is described in the image data as the sender. It is assumed that the mail address of the user of the client PC 60a is associated with the reservation ID of the electronic blackboard 2, for example. Alternatively, the user's e-mail address is described in the e-mail used to send the image data.

The e-mail sent by the confirmation requesting unit 43 describes a URL for displaying the result of image data processing, and the user can confirm the result of processing and input permission for distribution by accessing the URL. In addition, the user can arbitrarily edit when the processing result displayed at the URL of the access destination is different from the processing result indicated by the drawn image attribute information, or when additional processing is desired.

The workflow definition registration reception unit 49 has the function of a web server that provides the user with screen information for registering the workflow definition and receives the registration of drawn image attribute information and workflow information. The screen information is described in HTML, a script language (JavaScript: registered trademark), CSS (Cascade Style Sheet), and the like. Screen information may also be referred to as a web page or a web application. A web application refers to software or its mechanism that operates by cooperation between a script language (for example, JavaScript (registered trademark)) program that operates on browser software and a program on the web server side, and that is used on the browser.

<Registration of workflow definition>
A method of registering a workflow definition will be described with reference to FIGS. 6 and 7. FIG. FIG. 6 is an example of a diagram illustrating a method of registering drawn image attribute information associated with a workflow definition. The workflow definition registration reception unit 49 transmits screen information for displaying a screen as shown in FIG. 6 to the client PC 60a. The client PC 60a displays a drawn image attribute information registration screen 401 as shown in FIG. The user operates the client PC 60 a to register the drawn image attribute information from the drawn image attribute information registration screen 401 .

The drawn image attribute information registration screen 401 has a color selection field 402 , a shape selection field 403 , a location selection field 404 , and a transition button 406 . The color selection field 402 is used by the user to select the color of the drawing image attribute information, the shape selection field 403 is used by the user to select the shape of the drawing image attribute information, and the location selection field 404 is used to select the drawing image attribute. Used for user selection of information location. When the transition button 406 is pressed, the workflow definition registration screen 501 of FIG. 7 is displayed.

Note that the “gesture” in the shape selection field 403 does not mean the drawn image but the user's gesture operation. A gesture operation refers to drawing a predetermined trajectory with a finger. When the user selects a gesture, a gesture setting field 405 is displayed. The gesture setting field 405 has up, down, left, and right arrow buttons 4051 , an arrow setting field 4052 , and a registration button 4053 . An arrow button 4051 is a button for setting the direction of the gesture, an arrow setting field 4052 is a field for displaying an arrow selected by the user, and a register button 4053 registers the arrow (gesture) in the arrow setting field 4052. It is a button for

In FIG. 6, since "↑→↓" is selected in the arrow setting field 4052, when the user traces the display 3 with a locus of such a shape with the finger, it is determined that the shape of the gesture matches. Unlike the drawn image, the trajectory is not displayed in the image data. Therefore, a sequence of coordinate points representing the trajectory or the start and end points of each arrow is attached to the e-mail separately from the image data.

FIG. 7 shows an example of the workflow definition registration screen 501. As shown in FIG. On the workflow definition registration screen 501, a workflow definition of processing and delivery flow is selected. Similarly, the workflow definition registration reception unit 49 transmits screen information for displaying a screen such as that shown in FIG. 7 to the client PC 60a.

The workflow definition registration screen 501 has a processing selection field 502 , a delivery flow selection field 503 , and a registration button 506 . A processing selection field 502 is a field for the user to select what kind of processing is to be performed on the image data. A distribution flow selection field 503 is a field for the user to select how to distribute the processed image data. Note that when a project is selected in the distribution flow selection field 503, a project selection field 504 is displayed.

Partial color in the processing selection field 502 means changing the object in the location indicated by the drawn image (inside the frame, above the underline, above the wavy line, inside the ☆ mark, etc.) to a predetermined color. “Filling” refers to filling the area indicated by the drawn image. That is, it corresponds to deletion. Resolution up refers to increasing the resolution of the location indicated by the drawn image (for example, changing 4×4 pixels to 16×16 pixels). Kaisho refers to a process of changing a broken character to an accurate character or changing to a predetermined font. OCR means converting handwritten characters into text data (character recognition).

When an arbitrary distribution method is selected in the distribution flow selection field 503, a detail setting field 505 is displayed. The user sets a distribution path and the like in the detailed setting field 505 .

<About drawing image detection>
Next, detection of a drawn image will be described with reference to FIG. FIG. 8A shows an example of image data including a drawn image 301. FIG. The image data of FIG. 8(a) includes two drawn images 301a and 301b. Since the color list is attached to the image data, the drawn image detection unit 47 detects pixels whose colors match the RGB values of this color list. That is, the pixel value of the image data and the RGB value of the color list are compared pixel by pixel, and the pixel that matches the RGB value of the color list is specified. The identified pixels are the pixels of the drawn image. By doing so, the drawn images 301a and 301b of each color can be detected from one image data.

FIG. 8(b) shows the detected drawn images 301a, 301b. In FIG. 8B, a drawn image 301a of an underline and a drawn image 301b of a frame are detected.

<Specifying the shape of the drawn image>
FIG. 9 is an example of a diagram for explaining a method of specifying the shape of a drawn image. As shown in FIG. 9A, the shape determining unit 46 performs pattern matching on the extracted drawn image 301a. The shape determination unit 46 has a template of each shape registered in advance. In FIG. 9A, an underlined template 310a is shown at the upper left. The shape determination unit 46 calculates a correlation value between each shape template 310 a and an image including the drawn image 301 . This processing is performed while the template 310a is shifted little by little, and if the correlation value is equal to or greater than the threshold value, it is determined that the drawn image 301a has the same shape as the template 310a. SSD (Sum of Squared Difference), SAD (Sum of Absolute Difference), NCC (Normalized Cross-Correlation), etc. are known as correlation values.

A circular template 310b is shown at the upper left in FIG. 9(b). Circular template 310b enables detection of circular drawn image 301b. In this way, by calculating correlation values for templates of all shapes, it is possible to determine the shapes of a plurality of drawn images from one image data.

Note that it is also possible to construct a discriminator for judging the shape by machine learning. For example, machine learning algorithms such as neural network, deep learning, linear regression, logistic regression, support vector machine, decision tree, random forest, Ada Boost, naive base, k nearest neighbor method, etc. learn the shape represented by the image. The discriminator obtained by learning outputs what kind of shape the input image data has.

<Judgment of location>
FIG. 10 is an example of a diagram for explaining a method of determining the location of a drawn image. For example, the location determining unit 45 divides the image data into four equal parts and determines which of the four parts contains the center of gravity of the drawn image 301 . Then, it is determined that the drawn image 301 exists at the location to which the center of gravity belongs. This allows you to specify locations such as top right, bottom right, top left, bottom left.

As described above, the workflow definition (processing and delivery flow) is determined by determining the color, shape, and location. Note that the location may be determined in more detail by dividing the image data into four or more.

<About processing>
Processing will be described with reference to FIG. FIG. 11 is a diagram for explaining a processing method called partial color. First, FIG. 11(a) shows image data before partial color is applied. For example, assume that the processing associated with the underlined drawn image 301a is partial color. In this case, the plug-in 41-i corresponding to partial color identifies the object 320 above the underline. The object 320 above the underline is the closest object within a predetermined distance in the upward direction perpendicular to the underline. An object is, for example, a group of consecutive pixels. In FIG. 11, each character is an object. Various contour tracking algorithms are known as methods for detecting a continuous series of pixels. An object can be a background image or a rendered image.

In FIG. 11, an object 320 (more precisely, a plurality of objects) of "what is easy to understand" above the drawn image is detected. Each letter in "what is intelligible" is an object. Not only characters but also triangular and square figures are similarly detected as objects.

The plug-in 41-i corresponding to partial color changes the object 320 to a fixed color. That is, the pixel value of the pixel corresponding to the object 320 is changed. FIG. 11(b) shows an example of image data in which the color of the object 320 has been changed. By doing so, the color of the characters above the drawn image 301a, which is the underline, can be changed. Since this object 320 is a background image sent from a notebook PC or the like, it is not necessarily colored appropriately. In this embodiment, any object 320 in the background image can be changed to a color preferred by the user.

It should be noted that the original drawn image 301a may be deleted because the original drawn image 301a becomes unnecessary after processing. The drawn image 301a disappears from the image data, making it easier for the user to see. On the other hand, the presence of the drawn image 301a may enhance the object 320 of the image data, so the original drawn image 301a may be left. Since leaving and deleting the original drawn image 301a has advantages and disadvantages in this way, it is even better if the user can select. For example, the user can select whether to leave the original drawn image 301a when registering the workflow definition. If the user wants to delete the original drawn image 301a, the user can handwrite the drawn image 301a set to delete the drawn image 301a. The drawn image 301a set not to be deleted is handwritten.

FIG. 12 is a diagram for explaining a processing method called painting. First, FIG. 12(a) shows image data before being painted over. For example, it is assumed that the processing associated with the drawn image 301b of the frame is filling. In this case, the plug-in 41-i corresponding to the fill identifies the object 321 in the drawing image 301b of the frame. For example, the object 321 included between the right and left edges of the frame and between the top and top edges of the frame is specified. The circumscribing rectangle of this object 321 is set as the filling range.

In the example of FIG. 12, the objects 321 are the characters of “database named brain” surrounded by the drawing image 301b of the frame. The smallest rectangle (circumscribing rectangle) that hides all the objects 321 becomes the filling range.

FIG. 12B shows an example of image data in which the object 321 is filled. In FIG. 12B , the object 321 is filled with a rectangle 323 . It is preferable that the color used for filling is the same color as the background of the object 321 . By doing so, it is possible to reduce the sense of incongruity of the filling. Alternatively, it may be a fixed color such as white or black. Also, the fill color may be user selectable when defining the workflow.

By doing so, the user can paint over any object 321 . Since the original object 321 is invisible, it has the effect of deleting the object 321 . Some objects 321 are highly confidential, but any object can be deleted in this embodiment.

In FIG. 12B, the drawn image 301b of the frame is erased. Such processing can be realized by setting to erase the frame drawn image 301b in the processing associated with the frame drawn image 301b. As a result, it is possible to prevent the drawing image 301b of the frame from remaining after filling.

In addition, resolution enhancement, printing, and OCR processing can be performed in the same way if the target object is specified.

Further, although processing of a specific object has been described in FIG. 12, the entire image data may be processed. For example, if the image data is color, the entire image may be converted to black and white, or edges may be emphasized. Also, a face, a person's name, a product name, etc. may be detected and painted over. In this case, the plug-in 41-i preferably has a face recognition function and a personal name list or a product name list.

Although part of the background image is detected as an object in FIGS. 11 and 12, the object may be the drawn image 301. FIG.

<Operation procedure>
The overall operation of distribution system 100 will be described with reference to FIG. FIG. 13 is an example of a sequence diagram explaining the overall operation of the distribution system 100. As shown in FIG.

S1: The user handwrites the drawn image 301 on the electronic blackboard 2, and creates a screen shot when he/she wants to distribute this by a workflow. The image generator 12 of the electronic blackboard 2 generates image data. The electronic blackboard 2 records the colors (RGB values) when the user creates the drawn image 301 with the electronic pen. The mail transmission unit 13 attaches the image data to the e-mail and sets a color list, which is RGB values of one or more colors, in the body of the e-mail. The mail transmission section 13 transmits the image data and the color list to the mail server 20 . If the processing content differs for each user, the user ID is also transmitted.

S2: The mail reception unit 21 of the mail server 20 receives the image data and the color list, and stores them in the mail storage DB 23 . When the mail acquisition unit 48 of the distribution server 40 requests the mail server 20 to send an e-mail, the mail distribution unit 22 of the mail server 20 transmits the image data and the color list to the distribution server 40 .

S3: The mail acquisition unit 48 of the distribution server 40 acquires the image data and the color list, and the drawn image detection unit 47 detects the drawn image 301 from the image data. If there are multiple drawn images 301, all drawn images are detected.

S4: Next, the shape determination unit 46 identifies the shape of each drawn image 301 . Although the shape may be specified for all drawn images 301 that can be determined by the shape determination unit 46, it is effective to detect only the shapes registered by the user in the workflow definition in order to reduce the processing load. In this case, the user ID is obtained from the electronic blackboard 2 and the shape determination section 46 obtains the workflow definition associated with this user ID from the definition information storage section 50 .

S5: Next, the location determination unit 45 identifies the location of the drawn image 301 . Location determination is performed only for the drawn image 301 whose shape was specified in step S4.

S6: The workflow definition determination unit 44 acquires from the definition information storage unit 50 the workflow definition (processing and distribution flow) associated with the drawn image attribute information (color, shape and location).

S7: The processing execution unit 42 calls the plug-in 41-i corresponding to processing and processes the image data.

S8-1, 8-2: Next, the confirmation request unit 43 transmits a content confirmation notification to the electronic blackboard 2 or the client PC. The content confirmation notification refers to notifying the processed image data or the URL where the processed image data is stored to have the user confirm the processing result. By checking, the user can determine whether or not the desired processing has been performed. Note that the content confirmation notification may be sent to either the electronic blackboard 2 or the client PC. Also, it is not necessary to send the content confirmation notification to neither the electronic blackboard 2 nor the client PC.

S9-1, 9-2: The user of the electronic blackboard 2 or the client PC sends a content approval notification to the distribution server 40. FIG. For example, the ID of the image data may be sent along with the permission of distribution, or a distribution permission button may be pressed on the URL. Also, the user may correct the processed image data. The modification allows the user to perform desired processing.

S10: When the confirmation request unit 43 of the distribution server 40 receives the content approval notification, the plug-in 41-i corresponding to the distribution flow distributes the image data to the distribution destination device 60. FIG.

<Summary>
As described above, the delivery system of the present embodiment extracts a drawn image written in meeting materials or the like on an electronic blackboard based on a color list, and distributes Processing (image processing) is performed. The processing is predetermined according to the color, shape, and location (painting, color conversion, OCR, character font change), and the processed image data is distributed to the distribution partner. As a result, in a conference using the electronic blackboard 2, the distribution server 40 can automatically perform processing according to the detailed requests of the scribe (user) after the conference with a simple operation of handwriting in different colors. Become.

<Other application examples>
Although the best mode for carrying out the present invention has been described above using examples, the present invention is by no means limited to such examples, and various modifications can be made without departing from the scope of the present invention. and substitutions can be added.

For example, although the electronic blackboard 2 transmits image data to the distribution server 40 via the mail server 20 in this embodiment, the electronic blackboard 2 can directly transmit image data to the distribution server 40 . For example, the Web API of distribution server 40 is used.

Further, in the present embodiment, the drawn image 301 and the image data are transmitted together from the electronic blackboard 2 to the distribution server 40, but the drawn image 301 and the image data may be transmitted as separate images. In this case, the rendered image 301 has coordinates relative to the image data so that the object of the image data can be identified as well as other rendered images.

Further, the data that the electronic blackboard 2 inputs to the workflow is not limited to image data. For example, the electronic blackboard 2 can transmit any electronic data such as text data, PDF, or HTML data that can specify a workflow definition in the drawn image 301 .

Further, the electronic blackboard 2 may be any electronic device capable of transmitting image data in which the drawn image 301 is handwritten. For example, there is a projector-type electronic blackboard. The projector detects the position of the electronic pen with a camera and sound waves and projects a drawing image. Thus, the electronic blackboard 2 only needs to have the function of displaying drawn images.

For example, a smart phone, a tablet terminal, or the like that allows a user to handwrite a drawn image can be the electronic blackboard 2 of the present embodiment.

Also, in the present embodiment, the distribution server 40 processes the image data, but the electronic blackboard may process the image data. In this case, the electronic blackboard becomes the distribution server.

Also, a multi-function device may exist separately from the distribution server 40 . A plurality of distribution servers 40 may exist.

Further, the configuration examples of FIG. 5 and the like are divided according to the main functions in order to facilitate understanding of the processing of the electronic blackboard 2, mail server 20, and distribution server 40. FIG. The present invention is not limited by the division method or name of the unit of processing. Further, the processes of the electronic blackboard 2, the mail server 20, and the distribution server 40 can be divided into more processing units according to the processing contents. Also, one processing unit can be divided to include more processing.

The mail acquisition unit 48 is an example of receiving means, the drawn image detection unit 47 is an example of drawn image detection means, the workflow definition determination unit 44 is an example of processing method determination means, and the plug-in 41-1 is an example of a processing method determination unit. The plug-in 41-2 is an example of processing means, the plug-in 41-2 is an example of distribution means, the shape determination unit 46 is an example of shape identification means, the location determination unit 45 is an example of location identification means, and accepts workflow definition registration. The unit 49 is an example of processing method registration receiving means, and the definition information storage unit 50 is an example of a processing method storage unit. The image generation unit 12 is an example of image data generation means, and the mail transmission unit 13 is an example of transmission means.

2 electronic blackboard 3 display 4 electronic pen 20 mail server 40 delivery server 60 delivery destination device 100 delivery system

Japanese Patent Application Laid-Open No. 2004-215176

Claims (9)

A distribution device for distributing image data transmitted from an electronic blackboard,
receiving means for receiving the image data and color information of a drawn image written in the image data;
drawn image detection means for detecting the drawn image from the image data based on the color information;
processing method determination means for determining a processing method for the image data based on the drawn image detected by the drawn image detection means;
processing means for determining an object to be processed in the image data based on the drawn image detected by the drawn image detecting means, and processing the object by the processing method determined by the processing method determining means;
a distribution means for distributing the image data in which the object is processed by the processing means to a distribution destination;
a location identifying means for identifying the location of the drawn image detected by the drawn image detection means ;
The color of the drawn image, the shape of the drawn image, and the processing method of the object associated with the location of the drawn image, as well as the color of the drawn image, the shape of the drawn image, and the location of the drawn image. a processing method storage unit in which the delivery destination of the object is associated with
The processing method determination means acquires a processing method of the object associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image from the processing method storage unit,
The distributing means distributes the image data in which the object is processed to the distribution destination associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image in the processing method storage unit. A distribution device characterized by distributing the A distribution device for distributing image data transmitted from an electronic blackboard,
receiving means for receiving the image data and color information of a drawn image written in the image data;
drawn image detection means for detecting the drawn image from the image data based on the color information;
processing method determination means for determining a processing method for the image data based on the drawn image detected by the drawn image detection means;
processing means for determining an object to be processed in the image data based on the drawn image detected by the drawn image detecting means, and processing the object by the processing method determined by the processing method determining means;
a distribution means for distributing the image data in which the object is processed by the processing means to a distribution destination;
a location identifying means for identifying the location of the drawn image detected by the drawn image detection means ;
a processing method storage unit in which a processing method for the object is associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image ;
The processing method determination means acquires a processing method of the object associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image from the processing method storage unit,
Receiving selection of each of the color of the drawn image, shape of the drawn image, and location of the drawn image, and selection of a processing method for the object;
The processing method storage unit includes processing method registration reception means for storing the color of the drawn image, the shape of the drawn image, the location of the drawn image, and selection of a processing method for the object in association with each other . distribution device. a shape identifying means for identifying the shape of the drawn image detected by the drawn image detecting means;
3. The distribution apparatus according to claim 1, wherein said processing method determining means determines a processing method for said object based on said shape and said color information specified by said shape specifying means. A distribution device for distributing image data transmitted from an electronic blackboard,
receiving means for receiving the image data and color information of a drawn image written in the image data;
drawn image detection means for detecting the drawn image from the image data based on the color information;
processing method determination means for determining a processing method for the image data based on the drawn image detected by the drawn image detection means;
processing means for determining an object to be processed in the image data based on the drawn image detected by the drawn image detecting means, and processing the object by the processing method determined by the processing method determining means;
a distribution means for distributing the image data in which the object is processed by the processing means to a distribution destination;
a location identifying means for identifying the location of the drawn image detected by the drawn image detection means ;
The color of the drawn image, the shape of the drawn image, and the processing method of the object associated with the location of the drawn image, as well as the color of the drawn image, the shape of the drawn image, and the location of the drawn image. functions as a processing method storage unit in which the delivery destination of the object is associated with
The processing method determination means acquires a processing method of the object associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image from the processing method storage unit,
The distributing means distributes the image data in which the object is processed to the distribution destination associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image in the processing method storage unit. A program characterized by delivering A distribution device for distributing image data transmitted from an electronic blackboard,
receiving means for receiving the image data and color information of a drawn image written in the image data;
drawn image detection means for detecting the drawn image from the image data based on the color information;
processing method determination means for determining a processing method for the image data based on the drawn image detected by the drawn image detection means;
processing means for determining an object to be processed in the image data based on the drawn image detected by the drawn image detecting means, and processing the object by the processing method determined by the processing method determining means;
a distribution means for distributing the image data in which the object is processed by the processing means to a distribution destination;
a location identifying means for identifying the location of the drawn image detected by the drawn image detection means ;
Functioning as a processing method storage unit in which a processing method for the object is associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image ,
The processing method determination means acquires a processing method of the object associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image from the processing method storage unit,
Receiving selection of each of the color of the drawn image, shape of the drawn image, and location of the drawn image, and selection of a processing method for the object;
The processing method storage unit functions as a processing method registration reception unit that associates and stores the color of the drawn image, the shape of the drawn image, the location of the drawn image, and selection of the processing method for the object. Program characterized. the delivery device,
Functioning as shape identification means for identifying the shape of the drawn image detected by the drawn image detection means,
6. The program according to claim 4 , wherein said processing method determining means determines a processing method for said object based on said shape and said color information specified by said shape specifying means. A delivery system comprising an electronic blackboard and a delivery device for delivering image data transmitted from the electronic blackboard,
The electronic blackboard is
an image data generation means for generating image data by taking in a drawn image handwritten on an image displayed on a display together with the image;
transmitting means for transmitting the image data generated by the image data generating means to the distribution device;
The distribution device
receiving means for receiving the image data and color information of a drawn image written in the image data;
drawn image detection means for detecting the drawn image from the image data based on the color information;
processing method determination means for determining a processing method for the image data based on the drawn image detected by the drawn image detection means;
processing means for determining an object to be processed in the image data based on the drawn image detected by the drawn image detection means, and processing the object by the processing method determined by the processing method determining means;
a distribution means for distributing the image data in which the object has been processed by the processing means to a distribution destination;
a location identifying means for identifying the location of the drawn image detected by the drawn image detection means ;
The color of the drawn image, the shape of the drawn image, and the processing method of the object associated with the location of the drawn image, as well as the color of the drawn image, the shape of the drawn image, and the location of the drawn image. a processing method storage unit in which the delivery destination of the object is associated with
The processing method determination means acquires a processing method of the object associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image from the processing method storage unit,
The distributing means distributes the image data in which the object is processed to the distribution destination associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image in the processing method storage unit. A distribution system characterized by distributing the A delivery system comprising an electronic blackboard and a delivery device for delivering image data transmitted from the electronic blackboard,
The electronic blackboard is
an image data generation means for generating image data by taking in a drawn image handwritten on an image displayed on a display together with the image;
transmitting means for transmitting the image data generated by the image data generating means to the distribution device;
The distribution device
receiving means for receiving the image data and color information of a drawn image written in the image data;
drawn image detection means for detecting the drawn image from the image data based on the color information;
processing method determination means for determining a processing method for the image data based on the drawn image detected by the drawn image detection means;
processing means for determining an object to be processed in the image data based on the drawn image detected by the drawn image detecting means, and processing the object by the processing method determined by the processing method determining means;
a distribution means for distributing the image data in which the object is processed by the processing means to a distribution destination;
a location identifying means for identifying the location of the drawn image detected by the drawn image detection means ;
a processing method storage unit in which a processing method for the object is associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image ;
The processing method determination means acquires a processing method of the object associated with the color of the drawn image, the shape of the drawn image, and the location of the drawn image from the processing method storage unit,
Receiving selection of each of the color of the drawn image, shape of the drawn image, and location of the drawn image, and selection of a processing method for the object;
The processing method storage unit includes processing method registration reception means for storing the color of the drawn image, the shape of the drawn image, the location of the drawn image, and selection of a processing method for the object in association with each other . delivery system. The distribution device
a shape identifying means for identifying the shape of the drawn image detected by the drawn image detecting means;
9. The delivery system according to claim 7 , wherein said processing method determining means determines a processing method for said object based on said shape and said color information specified by said shape specifying means.

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