Communication methods and communication systems

Abstract

The present invention provides a method and apparatus for sending and receiving information over the internet, enabling a sender terminal to send money to a receiving terminal designated by the receiving terminal. [Solution] The communication device comprises a transmitting terminal that transmits video over the internet and a receiving terminal that receives and plays the video, and the method instructs the device to send money to a receiving means designated by the receiving terminal designated by the transmitting terminal.

Description

Technical Field

[0004] , , , , , , ,

[0006] , , , , , ,

[0005] , , , , , , , , <00--003> The present invention relates to a communication method and a communication device.

Background Art

[0002] The statements in this section only provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] Patent Document 1 discloses a method of making a reservation for using a distribution server that receives content transmitted from a distributor terminal device and performs stream distribution of the content to a client terminal device to a reservation management device, and transmitting the content from the distributor terminal device to the distribution server based on the reservation to perform content distribution.

Prior Art Document

Patent Document

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, the inventor recognized that at least in the above embodiment, there is a drawback that in the transmission and reception of information through the Internet, there is no means for the transmitting terminal to transfer money to the payment means designated by the receiving terminal designated by the transmitting terminal.

Means for Solving the Problems

[0006] At least one disclosure of the present application is A communication method, comprising A transmitting terminal that transmits a video through the Internet, and A receiving terminal that receives and plays back the video, and The transmitting terminal instructs the device to transfer money to the payment means designated by the receiving terminal designated by the transmitting terminal. Communication methods To provide. [Effects of the Invention]

[0007] This configuration has the advantage of at least creating an incentive for viewers to play the video, thereby enhancing the influence of the sender's information dissemination.

[0008] These and other aspects, features, and advantages of the Disclosure will become apparent from the following detailed written description of preferred embodiments and aspects taken in conjunction with the following drawings, but variations and modifications thereof may be implemented without departing from the spirit and scope of the novel concepts of the Disclosure. An aspect of one embodiment in the Disclosure may be combined with or replaced by one or more aspects of another embodiment disclosed herein, insofar as they do not conflict. [Modes for carrying out the invention]

[0009] The following disclosure provides many different embodiments and examples for carrying out different features of the presented subject matter. For the sake of simplicity, specific examples of components and arrangements are disclosed below. Of course, these are merely examples and are not intended to be limiting. For example, a structure in which a first feature is covered by or in contact with a second feature subsequently disclosed may include embodiments in which an additional feature is formed between the first and second features so that they do not come into direct contact, as well as embodiments in which the first and second features are formed so that they do not come into direct contact. Furthermore, the disclosure may repeat reference numbers and / or letters in various examples. This repetition is for the sake of brevity and clarity and does not require in itself to be related to the various embodiments and / or configurations described. Furthermore, when describing the first element as being "connected" or "joined" to the second element, such description includes embodiments in which the first and second elements are directly connected or joined to each other, as well as embodiments in which the first and second elements are indirectly connected or joined to each other by having one or more other elements interposed between them.

[0010] As used herein, the phrase "at least one of" encompasses all the exemplary variations. For example, the phrase "comprises at least one of A, B, or C" is synonymous with "consisting of A, B, C and combinations thereof," and encompasses all conceivable variations of A, B, C, A+B, A+C, B+C, and A+B+C.

[0011] In this disclosure, disclosures involving the use of machines, electronic operators, or computers may include embodiments of methods, recording media, apparatus, or programs. Any statement used herein that “A is B” may be replaced with “A includes B” unless otherwise stated herein, to the extent that it does not conflict with the statement.

[0012] The terms used in this disclosure, including those used in the claims, may be interpreted in light of the descriptions and drawings in the specification, and, to the extent that they do not contradict the implications of this disclosure, they may also be interpreted in relation to what one or more citizens have called, represented, understood or practiced, or may have done in the past, present, or future, as such.

[0013] As used herein, the term “computer” schematically includes, as known in the art, a processor, memory, at least one information storage / retrieval device such as a hard drive, disk drive or flash drive or memory stick, or other non-temporary computer-readable medium or non-temporary storage device, at least one input device such as a keyboard, mouse, point and touch device, touchscreen or microphone, and a display structure such as a well-known computer screen. In addition, a computer may include one or more network connections, such as wired or wireless connections. As known in the art, such a computer or computer system may more or less include, but is not limited to, for example, tablet computers or smart devices, other electronic media and electronic devices.

[0014] As used herein, the terms “cloud” or “cloud computing” refer to centralized and virtualized computing facilities where all computing resources are shared. For application systems and subsystems, since they all reside within the “cloud,” it is no longer possible to refer to specific machines.

[0015] As used herein, the term “Distributed Internet Services System” refers to a distributed internet services platform that translates internet applications for execution in various computing environments. A DIS system distributes internet applications, including content, data, and logic, to any number and type of device, to whatever extent appropriate, and along a network, via Component Distribution Servers / Asset Distribution Servers. Through a DIS, internet applications can be hosted and centrally managed as a service tailored to each user's needs, and can be locally cached and executed on the user's device or nearby locations while maintaining their integrity. Web-enabled computing devices can be upgraded with DIS software to become DIS-enabled, capable of enjoying and running distributed internet services. The Distributed Internet Service System is fully described in any one of the following patent families: U.S. Patents No. 7,136857, 7150015, 7181731, 7209921, 7430610, 7685183, 7685577, 7752214, 8326883, 8386525, 8443035, 8458142, 8458222, 8473468, 8527545, and 8650226, and U.S. Patent Publications 20120005205 ​​and 20130091252, all of which, like the present invention, are jointly owned by OP40 Holdings, Inc., and all of which are incorporated by reference. (End of quote)

[0016] Regarding the operating method used in at least one embodiment, the following embodiments can be taken for conventional internet systems that do not use a distributed internet. The following will be explained by reference to the description in JP7113047, which describes at least one embodiment in detail (beginning of reference).

[0017] Embodiments including those specifically disclosed herein can provide an automated response system based on artificial intelligence that is implemented in a manner that mimics actual human conversation, thereby enabling more natural communication with users while quickly and conveniently handling inquiries, reservations, delivery orders, and more.

[0018] The multiple electronic devices 110, 120, 130, and 140 may be fixed or mobile terminals implemented by a computer system. Examples of the multiple electronic devices 110, 120, 130, and 140 include AI speakers, smartphones, mobile phones, navigation systems, PCs (personal computers), notebook PCs, digital broadcasting terminals, PDAs (Personal Digital Assistants), PMPs (Portable Multimedia Players), tablets, game consoles, wearable devices, IoT (Internet of Things) devices, VR (virtual reality) devices, and AR (augmented reality) devices. As an example, Figure 1 shows an AI speaker as electronic device 110, but in embodiments of the present invention, electronic device 110 may mean one of a variety of physical computer systems that can communicate with other electronic devices 120, 130, 140 and / or servers 150, 160 via a network 170 using substantially wireless or wired communication methods.

[0019] The communication method is not limited, and may include not only communication methods that utilize communication networks that can be included in network 170 (for example, mobile communication networks, wired internet, wireless internet, broadcasting networks, satellite networks, etc.), but also short-range wireless communication between devices. For example, network 170 may include one or more arbitrary networks such as PAN (personal area network), LAN (local area network), CAN (campus area network), MAN (metropolitan area network), WAN (wide area network), BBN (broadband network), and the Internet. Furthermore, network 170 may include, but is not limited to, one or more network topologies, including bus networks, star networks, ring networks, mesh networks, starbus networks, tree or hierarchical networks.

[0020] Servers 150 and 160 may each be implemented by one or more computer devices that communicate with a plurality of electronic devices 110, 120, 130, 140 via a network 170 to provide instructions, codes, files, content, services, etc. For example, server 150 may be a system that provides a first service to a plurality of electronic devices 110, 120, 130, 140 connected via network 170, and server 160 may also be a system that provides a second service to a plurality of electronic devices 110, 120, 130, 140 connected via network 170. As a more specific example, server 150 may provide, as the first service, a service (such as an automatic response service, for example) targeted by a corresponding application to a plurality of electronic devices 110, 120, 130, 140 through an application that is a computer program installed and executed in the plurality of electronic devices 110, 120, 130, 140. As another example, server 160 may provide, as the second service, a service that distributes files for installation and execution of the above-described application to a plurality of electronic devices 110, 120, 130, 140.

[0021] FIG. 2 is a block diagram for explaining the internal configurations of an electronic device and a server in an embodiment of the present invention. In FIG. 2, the internal configuration of electronic device 110 and the internal configuration of server 150 are described as examples for an electronic device. Also, other electronic devices 120, 130, 140 and server 160 may have the same or similar internal configurations as the above-described electronic device 110 or server 150.

[0022] The electronic device 110 and the server 150 may include memory 211, 221, processors 212, 222, communication modules 213, 223, and input / output interfaces 214, 224. The memory 211, 221 may be a non-temporary computer-readable recording medium and may include non-temporary mass storage devices such as RAM (random access memory), ROM (read-only memory), disk drives, SSDs (solid-state drives), and flash memory. Here, non-temporary mass storage devices such as ROM, SSDs, flash memory, and disk drives may be included in the electronic device 110 and the server 150 as separate non-temporary storage devices distinct from the memory 211, 221. The memory 211, 221 may also store an operating system and at least one program code (for example, code for a browser installed and run on the electronic device 110, or code for an application installed on the electronic device 110 to provide a specific service). Such software components may be loaded from a computer-readable recording medium separate from the memory 211, 221. Such other computer-readable recording media may include computer-readable recording media such as floppy® drives, disks, tapes, DVD / CD-ROM drives, and memory cards. In other embodiments, software components may be loaded into memories 211, 221 through communication modules 213, 223 which are not computer-readable recording media. For example, at least one program may be loaded into memories 211, 221 based on a computer program (for example, the application described above) that is installed by a file provided over the network 170 by a file distribution system (for example, the server 160 described above) that distributes installation files for a developer or application.

[0023] Processors 212 and 222 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input / output operations. The instructions may be provided to processors 212 and 222 by memory 211, 221 or communication modules 213, 223. For example, processors 212 and 222 may be configured to execute instructions received according to program code recorded in a recording device such as memory 211, 221.

[0024] Communication modules 213 and 223 may provide functions for the electronic device 110 and the server 150 to communicate with each other via the network 170, or may provide functions for the electronic device 110 and / or the server 150 to communicate with other electronic devices (e.g., electronic device 120) or other servers (e.g., server 160). As an example, a request generated by the processor 212 of the electronic device 110 according to program code recorded in a recording device such as memory 211 may be transmitted to the server 150 via the network 170 under the control of the communication module 213. Conversely, control signals, instructions, contents, files, etc. provided under the control of the processor 222 of the server 150 may be received by the electronic device 110 through the communication module 213 of the electronic device 110 via the communication module 223 and the network 170. For example, control signals, instructions, contents, files, etc. received through the communication module 213 may be transmitted to the processor 212 or the memory 211, and the contents and files may be recorded in a recording medium (the non-temporary recording device described above) that the electronic device 110 may further include.

[0025] The input / output interface 214 may be a means for interface with an input / output device 215. For example, an input device may include a keyboard, mouse, microphone, camera, etc., and an output device may include a display, speaker, haptic feedback device, etc. As another example, the input / output interface 214 may be a means for interface with a device that integrates input and output functions into one, such as a touchscreen. The input / output device 215 may consist of the electronic device 110 and one other device. Also, the input / output interface 224 of the server 150 may be a means for interface with an input or output device (not shown) that connects to or can be included in the server 150. As a more specific example, when the processor 212 of the electronic device 110 processes instructions for a computer program loaded into memory 211, a service screen or content configured using data provided by the server 150 or electronic device 120 may be displayed on the display via the input / output interface 214.

[0026] Furthermore, in other embodiments, the electronic device 110 and the server 150 may include more components than those shown in Figure 2. However, it is not necessary to explicitly show most of the conventional components in the figure. For example, the electronic device 110 may be implemented to include at least some of the input / output devices 215 described above, and may further include other components such as transceivers, cameras, various sensors, and databases. As a more specific example, if the electronic device 110 is an AI speaker, the electronic device 110 may be implemented to further include a variety of components that are generally included in an AI speaker, such as various sensors, camera modules, various physical buttons, buttons using a touch panel, input / output ports, and vibrators for vibration. (End of quote)

[0027] The machine will now be described. According to at least one embodiment, the user terminal consists of a control unit, RAM, storage unit, graphics processing unit, communication interface, and interface unit, each connected by an internal bus.

[0028] According to at least one embodiment, the control unit consists of a CPU and ROM. The control unit executes programs stored in the storage unit and controls the user terminal. RAM is the work area of ​​the control unit. The storage unit is a memory area for saving programs and data. The control unit reads programs and data from RAM and processes them. By processing the programs and data loaded into RAM, the control unit outputs drawing commands to the graphics processing unit.

[0029] According to at least one embodiment, the graphics processing unit is connected to the display unit. The display unit has a display screen. When the control unit outputs a drawing command to the graphics processing unit, the graphics processing unit outputs a video signal for displaying an image on the display screen. Here, the display unit may be a touch panel equipped with a touch sensor. The touch panel of this display unit functions as an input unit.

[0030] According to at least one embodiment, the communication interface can be connected to a communication network wirelessly or via a wired connection, and can send and receive data with a server device via the communication network. The data received via the communication interface is loaded into RAM and processed by the control unit. External memory (e.g., an SD card) is connected to the interface unit.

[0031] According to at least one embodiment, the user terminal is not particularly limited as long as it is a computer device having a display screen and an input unit. Examples of user terminals include conventional mobile phones, tablet devices, smartphones, and desktop or notebook personal computers. A VR goggle, i.e., a screen (or two display panels, one for each eye) attached to a frame (or headset) that is fixed or attached to the head with a strap, may also be used. The user terminal has an audio output unit.

[0032] According to at least one embodiment, a user terminal can communicate with a server device via a communication network. It can transmit or receive information by establishing a communication connection via the communication network.

[0033] According to at least one embodiment, the server device comprises at least a control unit, RAM, a storage unit, and a communication interface, each connected by an internal bus.

[0034] According to at least one embodiment, the control unit consists of a CPU and ROM, executes programs stored in the storage unit, and controls the server device. The control unit also has an internal timer for timing. RAM is the work area of ​​the control unit. The storage unit is a memory area for saving programs and data. The control unit reads programs and data from RAM and performs program execution processing based on information received from the user terminal, etc.

[0035] This explains AI. According to at least one embodiment, artificial intelligence includes machine learning, deep learning, generative AI, large-scale language models (LLMs), foundational models, and generative AI. Generative AI uses transformers and employs numerous attention mechanisms. It uses self-supervised learning and Extract Prediction. In this case, the AI ​​can predict the next word. Given a sentence, it predicts the next word from the sentence up to that point. It generates a large number of supervised learning problems. These allow for an AI that can predict the next word. Generative AI can predict grammatical structure, topic connections, and what kind of sentences people with a certain writing style are likely to write. Furthermore, by simply predicting the next sentence, generative AI can learn the underlying structure, causal relationships, and knowledge. Generative AI scales quickly, and its accuracy improves as the number of parameters increases. Ordinary statistics and machine learning overfit if the model parameters are too large compared to the sample size of the data. LLMs become more accurate as the number of parameters increases. One generative AI has 175 billion parameters. Generative AI is overlaid with supervised learning to facilitate smooth conversation. They are taught not to say anything strange. They write essays and act as call center operators.

[0036] According to at least one embodiment, Large Language Models (LLMs) are, in a non-inclusive sense, machine learning natural language processing models built using large datasets and deep learning techniques. Generally, they are adapted to various natural language processing (NLP) tasks such as text classification and generation, sentiment analysis, text summarization, and question answering using a technique called "fine-tuning," which involves training them on specific tasks. According to at least one embodiment, self-supervised learning is close to intrinsic human intelligence. When humans act, they are always predicting what will happen next and predicting the next input. In the process, they can learn the structure of the external world. Predicting the next word is considered intrinsic intelligence and is close to what is done in the cerebral cortex. According to at least one embodiment, Large Language Models memorize all the input information but generalize it to the extent necessary to predict the next word. They do not try to generalize all the information from the beginning. Large Language Models require capacity to remember information, and therefore require parameters. According to at least one embodiment, a large-scale language model incorporates eight models, each with 175 billion parameters or 220 billion parameters.

[0037] According to at least one embodiment, videos and images are represented as a collection of visual patches, which are small data units similar to text tokens in LLMs. Patches effectively represent models of visual data and are used as a highly scalable and effective representation for training generative models on various types of videos and images. Videos are transformed into patches by first compressing the video into a low-dimensional latent space and then decomposing the representation into spatiotemporal patches.

[0038] According to at least one embodiment, a video compression network is a network that reduces the dimensionality of visual data, taking raw video as input and outputting a temporally and spatially compressed latent representation. An AI is trained in this compressed latent space and then generates video within this compressed latent space.

[0039] According to at least one embodiment, Spacetime Latent Patches extract a series of spatiotemporal patches that function as transformer tokens when given a compressed input video. The patch-based representation allows Sora to be trained on videos and images of varying resolutions, lengths, and aspect ratios, and controls the size of the resulting video by arranging randomly initialized patches into a grid of appropriate size during inference.

[0040] According to at least one embodiment, the AI ​​is a diffusion model that, given a noisy patch (and conditioning information such as text prompts) as input, is trained to predict the original "clean" patch. The AI ​​is a diffusion transformer, which exhibits remarkable scaling properties in various domains, including language modeling, computer vision, and image generation. Diffusion transformers are also effective as video generation models. The AI's sample quality improves significantly as the amount of training computation increases.

[0041] According to at least one embodiment, the AI ​​applies caption regeneration technology to train a highly descriptive caption model, which is then used to generate text captions for all videos in the training set. Training highly descriptive captions improves not only the overall quality of the generated videos but also the fidelity of the text. GPT is used to convert short user prompts into long, detailed captions, which are then sent to the model. This allows the AI ​​to generate high-quality videos that precisely follow the user prompts.

[0042] According to at least one embodiment, AI can perform vectorization in natural language processing according to the following flow. First, as a preprocessing step, the given text is cleaned. In the cleaning process, unnecessary words such as JavaScript code and HTML tags contained in the text are removed. These codes are used to display on the internet and are therefore not generally used in natural language processing. Next, the text is divided into words using morphological analysis. Morphological analysis is the classification of natural language sentences written in characters into the smallest meaningful linguistic units. "MeCab," "JUMAN," and "JANOME" can be used as morphological analysis tools. In normalization, words with the same meaning, such as variations in spelling, are unified into a single word. Stop words are words that are excluded from processing for reasons such as not being usable in natural language processing. Examples of stop words include particles and auxiliary verbs, which do not have meaning on their own. When calculating vectors, these may be removed, and only meaningful words may be targeted. Vectorization may also be performed without removing these stop words. Vectorization is the process of converting strings of words into vectors. Vectorization transforms word data into numerical data. When converting words to vectors, methods such as Bag of Words and distributed representations are used. Bag of Words is a method of vectorizing a given text using the number of occurrences of each word. It focuses on how often each word appears in the text, and does not consider the order of words or sentences. Distributed representation is a method of vectorizing by focusing on the meaning of words. By vectorizing the meaning of words, it is possible to assign similar vectors to words with similar meanings or usages, and the relationships between words can also be represented by vectors. With vector representation, it is possible to add and subtract the meanings of words. In applied processing, natural language converted into numerical data can be used as input for machine learning. Specifically, vectorized natural language is fed into a classifier to perform text classification.Tools used here include TensorFlow, scikit-learn, and PyTorch.

[0043] This document discloses a transmitting terminal for transmitting video over the Internet. In at least one embodiment, the transmitting terminal can be implemented using one or more of the above-mentioned devices or computers. For example, the transmitting terminal transmits video obtained through a camera installed in the terminal over the Internet. The transmission method includes wireless and wired transmission. In at least one embodiment, video is merely an example, and general information can be transmitted. General information includes one or more combinations of video, images, text, etc. In at least one embodiment, the transmission includes one or more combinations of live streaming, on-demand streaming, simulated live streaming, etc. In at least one embodiment, the transmitting terminal is operated by the video distributor.

[0044] In at least one embodiment, the distribution conditions include one or more of the following: Live streaming includes distribution methods that distribute video and audio to viewers in real time via a distribution server or internet connection. Live streaming is a method of distributing video in real time over the internet, and by connecting with viewers in real time, it is possible to quickly convey the latest information. This includes a system similar to live television broadcasting, also known as "internet live broadcasting" or "internet live streaming." On-demand streaming includes distribution methods in which pre-produced videos are uploaded to a distribution server, allowing viewers to watch them at their preferred time. Unlike live streaming, on-demand streaming does not have real-time capabilities, but its major feature is that content can be viewed regardless of time or place. In addition, the quality of the distributed content can be improved by re-recording or editing during video production to enhance the way the message is conveyed. Simulated live streaming includes distribution methods that distribute pre-recorded and edited videos while communicating with viewers in real time. This method utilizes the advantages of both live streaming and on-demand streaming and includes methods also known as "File to Live," "Simulive," or "recorded distribution."

[0045] Disclosed is a receiving terminal that receives and plays the aforementioned video. In at least one embodiment, the receiving terminal can be realized by one or more of the above-mentioned devices or computers. For example, the receiving terminal receives video transmitted by the transmitting terminal via the internet. The receiving terminal plays the received video. Playback includes one or more combinations of the following: playing the video on a display provided by the receiving terminal, or the receiving terminal acting as a relay and secondarily communicating the video to another device or machine, and displaying the video on a display of the receiving device or machine. In at least one embodiment, video is merely an example, and general information can be transmitted. General information includes one or more combinations of video, images, text, etc. In at least one embodiment, transmission includes one or more combinations of live streaming, on-demand streaming, pseudo-live streaming, etc.

[0046] The present invention discloses a method by which a transmitting terminal instructs a device to transfer funds to a receiving terminal designated by the transmitting terminal. In at least one embodiment, “device” can be realized by one or more of the above-described devices or computers. The device can record the manner in which the receiving terminal receives and plays back videos and can send and receive the recorded information. For example, the device generates status information indicating that the transmission of a video to the receiving terminal was successful. The device can cause the receiving terminal to download a program or application. The receiving terminal can play back the received video through that program or application. The program or application identifies the video played by the receiving terminal or tracks the conditions of its playback, generates status information, and sends it to the device. The playback conditions include conditions such as playing the video to the end or playing it multiple times. Other playback conditions include discontinuous playback without playing back a portion of the video. The device can also acquire images or videos from the receiving terminal’s camera that include one or more of the viewer’s face, facial expressions, eye movements, or combinations thereof, and request the AI ​​to determine from the images whether the viewer actually watched the video. The AI ​​applies caption regeneration technology to train a highly descriptive caption model, which is then used to generate text captions for all videos in the training set. The AI ​​learns through supervised learning, using images or videos that show examples of people watching the video and examples of people not watching the video. The AI ​​represents videos and images as a collection of visual patches, which are small data units similar to LLM text tokens. Patches effectively represent models of visual data and are used as a highly scalable and effective representation for training generative models on various types of videos and images. The video is transformed into patches by first compressing the video into a low-dimensional latent space, and then decomposing the representation into spatiotemporal patches.The AI ​​includes embodiments that convert images or videos provided by a receiving terminal, which include one or more of the viewer's face, facial expressions, eye movements, or combinations thereof, into patches, determine whether the viewer has watched the video, and create status information. The status information includes embodiments that are generated in association with a unique number that identifies the receiving terminal, account information registered with its program or application, or one or more of the above combinations.

[0047] The transmitting terminal has a means for specifying a receiving terminal. In at least one embodiment, the transmitting device can register a specification condition for specifying a receiving terminal with the device. The specification condition includes the fact that the transmission of the video to the receiving terminal was successful (or that the receiving terminal received the video). It also includes the fact that the receiving terminal played the received video through its program or application. It also includes the fact that the receiving terminal played the received video through its program or application under predetermined playback conditions. It also includes the fact that the receiving terminal played the video under predetermined distribution conditions set by the transmitting terminal. The condition includes one or more combinations of the conditions in the examples above. The transmitting terminal identifies a receiving terminal having status information indicating each of these conditions via the device. For example, the transmitting terminal specifies a receiving terminal that meets the condition that it received the transmitted video and played the video to the end. As another example, the transmitting terminal specifies a receiving terminal that does not include playback conditions such as playing the video discontinuously without playing part of it (specifying a receiving terminal that does not include a specific condition in this way is called an exclusion condition). As yet another example, the transmitting terminal specifies a receiving terminal that meets the condition that it played the video via live streaming. Thus, since the conditions can be arbitrarily determined by the operator of the transmitting terminal, any playback conditions that can be identified by the device or machine can be considered as "specified conditions" in this disclosure. The device can search for a receiving terminal that matches those conditions. The device can compare the status information of the receiving terminal with the specified conditions specified by the transmitting terminal and identify a transmitting terminal that matches the specified conditions.

[0048] In the above embodiment, "specifying a receiving terminal" can be replaced with "specifying an account registered with the program or application." That is, the receiving terminal plays a video through the program or application. The device can identify the account that performed playback that matches the specified conditions specified by the transmitting terminal. Therefore, the transmitting terminal can specify the account that performed playback that matches the specified conditions specified by the transmitting terminal by communicating with the device.

[0049] The receiving means designated by the receiving terminal are disclosed. In at least one embodiment, the receiving means includes means for receiving monetary amounts or economic value, including data convertible to economic value, whether by electronic or physical means. Examples include one or more of the following: a bank account, a payment service account, a service or registration account for which payments and money transfers can be made over the internet, points that can be used to purchase goods or services or an account for managing points, means for receiving physical or electronic economic value associated with these accounts, or a combination thereof. The receiving means registers one or more of these receiving means or pieces of information that identify the receiving means when registering an account to the program or application. The receiving means designated by the receiving terminal may be one of these registered means or pieces of information, or one of the means or pieces of information designated by the account user from among them.

[0050] A transmitting terminal can instruct the device to transfer funds to a receiving means designated by a receiving terminal designated by the transmitting terminal. In at least one embodiment, the transmitting terminal can register conditions with the device, including the economic value of the transfer. For example, this includes one or more of the following: money, points, or a combination thereof. A user operating the transmitting terminal can also register an account as a sender in a program or application. The transmitting terminal can transmit a means of transfer or information about the means to the device. A means of transfer includes, as an example, one or more of the following: a bank account, a payment service account, a service or registration account for which payments and transfers can be made over the internet, points that can be used to purchase goods or services or an account for managing points, a means of transferring the physical or electromagnetic economic value associated with these accounts, or a combination thereof. The transmitting terminal can also register a means of transfer or information about the means associated with an account through a program or application. The transmitting terminal can instruct the device to transfer funds using the means of transfer to a receiving means designated by a receiving terminal designated by the transmitting terminal.

[0051] In at least one embodiment, an example of use in this disclosure is disclosed. For example, a transmitting terminal provides live or simulated live streaming of a video over the internet. The transmitting terminal instructs the device to send money to a receiving terminal or account that receives and plays the live stream. The transmitting terminal or device sends $1 to the receiving terminal or account that received the live stream. Other embodiments are disclosed. For example, a transmitting terminal provides on-demand streaming of a video over the internet. The transmitting terminal instructs the device to send money to a receiving terminal or account that receives or plays the stream. The transmitting terminal or device sends $1 to the receiving terminal or account that received or plays the stream. In these embodiments, in other embodiments, the streamer sets arbitrary conditions for reception or playback and registers those conditions with the device. The device sends money to the receiving terminal or account that meets those conditions. For example, a condition might be that a predetermined point in the streamed video (e.g., five minutes after the start of the video, including the last point of the video) has been played. Other examples of conditions include playing the video for a predetermined length of time (for example, playing 80% of the total video length, playing for 10 minutes, etc.). Other examples of conditions include predetermined conditions related to playback (for example, not playing the video at double speed, not skipping any parts of the video, answering a survey after playing the video, etc.). Skipping video playback includes not playing the video continuously from beginning to end, but playing it discontinuously. In this case, the recipient will not have seen the entire video. If a survey is a condition, the broadcaster sends the survey information from the sending terminal to the device, and the device sends the survey to the receiving terminal. The receiving terminal sends the survey response to the device. These conditions can be any one or a combination of them. The broadcaster registers these conditions with the device. The device identifies receiving terminals that have received or played the broadcast and that further meet these conditions. The device sends $1 to the identified receiving terminal or account. This configuration allows for the creation of an application or program that can at least confirm that the recipient viewed the content under the conditions desired by the broadcaster.Therefore, it has the utility and industrial applicability of eliminating recipients who play content unprofessionally for the sole purpose of receiving remittances, and improving the cost-effectiveness of the broadcaster's appeal.

[0052] In at least one embodiment, transmission is live transmission, reception is live reception, and instructions for remittance are made during or shortly after live transmission. A transmitting terminal performs live transmission of video. A receiving terminal performs live reception of the transmitted video. The device identifies the receiving terminal performing live reception. Identification can be done in any one of the methods described herein. For example, the device generates status information generated in association with a unique number that identifies the receiving terminal that performed live reception, account information registered in its program or application, and one or more combinations of the above. The device identifies the receiving terminal performing live reception based on the status information. The device makes a remittance to the receiving means specified by the identified receiving terminal during live transmission. Alternatively, the device makes a remittance to the receiving means specified by the identified receiving terminal after live transmission has finished (preferably shortly after or as soon as possible after completion, but may allow time necessary for remittance processing to elapse). In other embodiments, the transmitting terminal instructs the device to make a remittance to the receiving means specified by the identified receiving terminal during live transmission. Alternatively, the transmitting terminal instructs the device to transfer funds after live transmission to a designated receiving device specified by the identified receiving terminal. This configuration can attract enthusiastic viewers by at least increasing their willingness to receive live streams. Therefore, it has the potential to significantly improve the broadcaster's appeal and has industrial applicability.

[0053] In the above embodiment, the "transmitting terminal" can be replaced with "a user who is registered with the program or application to transmit information" or "an account of a user who is registered with the program or application to transmit information."

[0054] The following is an overview of the embodiments described above.

[0055] A method of communication, A transmitting terminal that transmits video over the internet, The system includes a receiving terminal that receives and plays the aforementioned video, The transmitting terminal instructs the device to send money to the receiving terminal specified by the transmitting terminal. Communication method.

[0056] A communication device, A transmitting terminal that transmits video over the internet, A receiving terminal that receives and plays the aforementioned video, An instruction unit that instructs the device to send money to the receiving terminal specified by the transmitting terminal, A communication device equipped with the following features.

[0057] This configuration has the advantage of at least creating an incentive for viewers to play the video, thereby enhancing the influence of the sender's information dissemination.

[0058] The above configuration, The above transmission is a live transmission. Pre-reception is live reception. Instructions should be given during or after the live transmission. method.

[0059] This configuration can, at the very least, increase the willingness to receive live streams, thereby attracting enthusiastic viewers. Therefore, it has significant utility and industrial applicability in dramatically improving the broadcaster's appeal.

[0060] The receiving terminal specified by the transmitting terminal is a receiving terminal that meets the predetermined conditions for playback.

[0061] This configuration allows for the creation of an application or program that can verify that recipients have viewed the content under conditions desired by the broadcaster. Therefore, it has the utility and industrial applicability of eliminating recipients who are only watching for the purpose of receiving payments, while also improving the cost-effectiveness of the broadcaster's appeal.

[0062] The invention disclosed herein only needs to achieve at least one of the effects described above.

Claims

1. A method of communication, A transmitting terminal that transmits video over the internet, The system includes a receiving terminal that receives and plays the aforementioned video, The transmitting terminal instructs the device to send money to the receiving terminal specified by the transmitting terminal. Communication method.

2. A communication device, A transmitting terminal that transmits video over the internet, A receiving terminal that receives and plays the aforementioned video, An instruction unit that instructs the device to send money to the receiving terminal specified by the transmitting terminal, A communication device equipped with the following features.