WO2024010113A1 - System for producing video for mental and physical stability, and method therefor - Google Patents

Abstract

The present invention provides a system for producing video for mental and physical stability, and a method therefor. The method, performed by a management server, for producing a video for mental and physical stability may comprise the steps of: extracting image information included in basic image information and generating image attribute information by filtering the image information; extracting sound information included in the basic image information and generating sound attribute information by filtering the sound information; and generating final image information by matching the image attribute information and the sound attribute information, wherein the step of generating the final image information may comprise a step of generating the final image information in which the basic image information is reconstructed by matching and merging the image attribute information, composed of natural colors and obtained by filtering the image information, and the sound attribute information, composed of natural sounds and obtained by filtering the sound information.

Description

Video production system and method for mental and physical stability

The present invention relates to an image production system and method for mental and physical stability, and in particular, to relieve eye fatigue by filtering images containing sound with natural colors, and to relieve ear fatigue by filtering sound with natural sounds. It is about a video production system and method for mental and physical stability.

With recent developments in mobile communication and hardware/software technology, mobile communication terminals, smart phones, tablet PCs (Personal Computers), PDA (Personal Digital Assistants), electronic notebooks, laptops, and wearables have been developed. Various types of electronic devices, such as wearable devices, IoT (Internet of Things) devices, or audible devices, are widely used.

Recently, with the rapid spread of electronic devices, there is a transition from the existing voice communication service, which focuses on simple voice calls, to a data communication service, which focuses on data communication, and various types of services are being proposed. .

For example, you can view web pages using the Internet on an electronic device or install an application to access the desired service (e.g. video service (e.g. video sharing, video call service, etc.)) from anywhere through the electronic device. It can be provided (see Korean Patent Publication No. 10-2017-0037545).

The matters described as background technology above are only for the purpose of improving understanding of the background of the present invention, and should not be taken as an acknowledgment that they correspond to prior art already known to those skilled in the art.

The problem to be solved by the present invention is to provide an image production system and method for mental and physical stability.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those skilled in the art from the description below.

The image production method for mental and physical stability according to an embodiment of the present invention to solve the above-described problem is an image production method for mental and physical stability performed by a management server, and extracts image information included in basic image information. and generating image attribute information by filtering the image information; Extracting sound information included in the basic image information and filtering the sound information to generate sound attribute information; And generating final image information by matching the image attribute information and the sound attribute information, wherein the step of generating the final video information includes the image attribute information made up of natural colors by filtering the image information and the It may include the step of generating the final image information in which the basic image information is reconstructed by matching and merging the sound attribute information consisting of natural sounds through filtering of sound information.

In one embodiment of the present invention, the step of generating the image attribute information includes analyzing the image information and i-Soft information, and if the image information and i-Soft information are different according to the analysis result, the image information and The image attribute information is generated by filtering the image information so that the i-Soft information is the same, and if the image information and the i-Soft information are the same according to the analysis result, the image information is filtered so that the image information is maintained. Image attribute information can be created.

In one embodiment of the present invention, in the step of generating the sound attribute information, the sound attribute information may be generated by filtering using white noise and pink noise based on the sound information.

In one embodiment of the present invention, the step of generating the sound attribute information may include extracting keywords included in the sound information and filtering using the extracted keywords to generate the sound attribute information consisting of natural sounds. there is.

In addition, an image production system for mental and physical stability according to an embodiment of the present invention extracts image information included in basic image information, filters the image information to generate image attribute information, and A management server that extracts sound information included in basic image information, filters the sound information to generate sound attribute information, and matches the image attribute information and the sound attribute information to generate final video information and transmits it to the user terminal. It includes; wherein the management server matches and merges the image attribute information, which consists of natural colors by filtering the image information, and the sound attribute information, which consists of natural sounds by filtering the sound information, so that the basic image information is reconstructed. The final image information can be generated.

The program according to one embodiment of the present invention is combined with a computer, which is hardware, and is stored in a computer-readable recording medium so that the method of producing an image for mental and physical stability can be performed.

Other specific details of the invention are included in the detailed description and drawings.

According to the present invention, an image containing sound is filtered into natural colors to relieve eye fatigue, and noise in the sound is filtered to natural sounds to relieve ear fatigue, thereby creating an image for the user's mental and physical stability. .

According to the present invention, when watching a video designed to relieve ear fatigue and eye fatigue during activities such as Pilates, yoga, home training, etc. that require concentration, concentration is improved and muscles are more comfortably relaxed, allowing exercise. The effect can be further increased.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

Figure 1 is a diagram for explaining an image production system for mental and physical stability according to an embodiment of the present invention.

Figure 2 is a diagram for explaining a method of producing an image for mental and physical stability according to an embodiment of the present invention.

FIG. 3 is a diagram for explaining the step of filtering image information shown in FIG. 2.

FIG. 4 is a diagram for explaining the step of filtering sound information shown in FIG. 2.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide a general understanding of the technical field to which the present invention pertains. It is provided to fully inform the skilled person of the scope of the present invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for describing embodiments and is not intended to limit the invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other elements in addition to the mentioned elements. Like reference numerals refer to like elements throughout the specification, and “and/or” includes each and every combination of one or more of the referenced elements. Although “first”, “second”, etc. are used to describe various components, these components are of course not limited by these terms. These terms are merely used to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may also be a second component within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless clearly specifically defined.

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

Figure 1 is a diagram for explaining an image production system for mental and physical stability according to an embodiment of the present invention.

As shown in FIG. 1, the video production system for mental and physical stability according to an embodiment of the present invention may include a user terminal 10 and a management server 20.

Here, the user terminal 10 and the management server 20 can transmit and receive data in real-time synchronization using a wireless communication network. The wireless communication network may support various long-distance communication methods, such as Wireless LAN (WLAN), DLNA (Digital Living Network Alliance), Wibro (Wireless Broadband: Wibro), and Wimax (World Interoperability for Microwave Access: Wimax). ), GSM (Global System for Mobile communication), CDMA (Code Division Multi Access), CDMA2000 (Code Division Multi Access 2000), EV-DO (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA (Wideband CDMA) , HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), IEEE 802.16, Long Term Evolution (LTE), LTEA (Long Term Evolution-Advanced), broadband wireless mobile communication service (Wireless Mobile) Broadband Service: Various communication methods such as WMBS (WMBS), BLE (Bluetooth Low Energy), Zigbee, RF (Radio Frequency), LoRa (Long Range), etc. may be applied, but are not limited to these and include various widely known wireless or mobile communications. method may be applied.

The user terminal 10 can receive final image information through communication with the management server 20 and upload basic image information corresponding to the final image information to be provided.

At this time, the final image information is information reconstructed by filtering the image and sound based on the basic image information. For example, the image is filtered by iSoft information and the sound is reconstructed by white noise and pink noise. It may be possible, but it is not limited to this.

Additionally, the basic image information may be a video including various types of images or moving images including sound, but is not limited to this and may not include sound.

Specifically, the user terminal 10 can select and receive final video information corresponding to the basic video information to be viewed from the management server 20.

Depending on the embodiment, the user terminal 10 may receive customized final video information from the management server 20.

Additionally, the user terminal 10 can select basic video information to be viewed, transmit it to the management server 20, and then receive final video information in which the basic video information is reconstructed from the management server 20.

Depending on the embodiment, the user terminal 10 may use a service in which the final video information is provided, then generate feedback information about this and transmit it to the management server 20. The feedback information may be sent to the service in which the final video information is provided. Information such as satisfaction, accuracy, and reliability may be included. At this time, the feedback information can be generated and transmitted after using the service in which the final video information is provided, but alternatively, it can also be transmitted before or during use.

Depending on the embodiment, the user terminal 10 may receive event information including advertising information or information about discounts or events for services for which final video information is provided from the management server 20, but is not limited to this. No.

Depending on the embodiment, the user terminal 10 may output the current operating state and final image information visually and audibly.

Depending on the embodiment, the user terminal 10 may advance membership registration using user information in order to perform services with the management server 20, but is not limited to this. Here, user information may include, but is not limited to, personal information such as name, contact information, and occupation, as well as additional information such as tastes and preferred music and videos. At this time, the user terminal 10 may consist of at least one, but is not limited to this.

As such, the user terminal 10 may include various portable electronic communication devices that support communication with the management server 20. For example, the user terminal 10 is a separate smart device, such as a smart phone, a personal digital assistant (PDA), a tablet, a wearable device, a smartwatch, It may include various portable terminals such as glass-type terminals (including Smart Glass, HMD (Head Mounted Display), etc.) and various IoT (Internet of Things) terminals, but in contrast, non-portable desktop computers and It may include electronic communication devices such as workstation computers.

In addition, the user terminal 10 can operate using an application program (application program or application) in the present disclosure, and such application program can be downloaded from an external server or management server 20 through wireless communication. there is.

In other words, when the user terminal 10 watches the final image information reconstructed and provided from the management server 20, eye fatigue is reduced by the filtered image, and ear fatigue is reduced by the filtered sound, thereby improving mental and physical health. Stability and concentration can be improved.

The management server 20 may include a communication unit 22, a storage unit 24, a monitoring unit 26, and a server control unit 28.

The communication unit 22 may receive basic image information from the user terminal 10, or transmit final image information in which the basic image information is reconstructed to the user terminal 10.

The storage unit 24 can store data transmitted and received from the user terminal 10 through a wireless communication network.

The storage unit 24 can store data supporting various functions of the management server 20. The storage unit 24 may store a number of application programs (application programs or applications) running on the management server 20, data for operation of the management server 20, and commands. At least some of these applications may be downloaded from an external server through wireless communication.

The monitoring unit 26 monitors the operating state of the user terminal 10 due to user manipulation, the operating state of the management server 20, and data transmitted and received between the user terminal 10 and the management server 20 through the screen. It can be monitored. In other words, by checking the usage status of the user terminal 10 in real time, it is possible to conveniently use the user and provide the user with greater confidence.

The server control unit 28 can reconstruct the basic image information and generate final image information. That is, the server control unit 28 can filter the image of the basic video information with natural colors and filter the sound corresponding to the image of the basic video information with natural sounds to reconstruct the basic video information and generate the final video information.

Specifically, the server control unit 28 may calculate image information for an image included in the basic image information and then compare, analyze, and filter the calculated image information and iSoft information to generate image attribute information.

Here, the server control unit 28 can extract images for each frame from basic image information and calculate image information for the extracted images.

For example, the server control unit 28 sets the unit of at least 5 seconds from the basic video information, sets a bounding box for each frame, and then provides predicted coordinate information for the image located within the set bounding box. After extraction, the image can be extracted by labeling the predicted coordinate information.

That is, the server control unit 28 compares and analyzes the calculated image information and i-Soft information and, if the image information and i-Soft information are different, filters the image information so that it is the same as i-Soft information and generates image attribute information. .

At this time, iSoft information is information including standard values for color, brightness, and saturation, and may include RGB values that relieve eye fatigue. In other words, iSoft information is preset information that can help recover from mental and physical fatigue, including eye fatigue, and can have a green (2.5G) color with a luminance of 8 and a saturation of 1.5 to 2. there is.

For example, the server control unit 28 generates iSoft information RGB (163, 204, 163), RGB (181, 214, 146) generated using high brightness with a value of 8 and low saturation with a value of 2. Image information can be filtered into natural colors using RGB (214, 230, 245).

Meanwhile, the server control unit 28 can compare and analyze the calculated image information and i-Soft information and, if the image information and i-Soft information are the same, create image attribute information in which the image information is maintained.

Depending on the embodiment, the server control unit 28 may automatically calculate image information included in basic image information by repeatedly learning using deep learning techniques or machine learning techniques based on big data.

Depending on the embodiment, the server control unit 28 may classify images according to preset conditions and calculate image information.

For example, image information may be calculated by classifying an image based on at least one of nature, water, trees, outdoors or trees, nature, outdoors, forest or trees, grass, outdoors, or plants.

Additionally, when the basic image information includes sound, the server control unit 28 may calculate sound information for the basic image information and then filter the calculated sound information to generate sound attribute information consisting of natural sounds.

For example, the server control unit 28 may generate sound attribute information consisting of natural sounds by filtering the calculated sound information using white noise and pink noise.

At this time, white noise is noise containing all frequency components, and its energy is distributed in all frequency ranges. In addition to being used in various measurements, white noise is used in synthesizers to produce natural sounds (sounds of waves, wind, waterfalls, insects, birds, etc.). ) can be an important sound source when producing In addition, pink noise is a noise level that is evenly reproduced in the frequency band of 20Hz to 20kHz, and can be a noise signal that corrects white noise by attenuating it by 3dB per octave, making all frequency bands sound at the same level in actual hearing. In other words, it refers to a noise signal artificially created to measure the size of a signal, and may be a noise level that is reproduced evenly in the reproduction frequency band rather than a single noise.

Depending on the embodiment, the server control unit 28 may automatically calculate sound information included in basic image information by repeatedly learning using deep learning techniques or machine learning techniques based on big data.

Depending on the embodiment, the server control unit 28 may filter the sound information to remove noise included in the basic image information before generating sound attribute information consisting of natural sounds. At this time, noise removal may be performed simultaneously when basic image information is preprocessed.

Depending on the embodiment, the server control unit 28 may filter image information and then filter sound information, but may not be limited to this.

For example, the server control unit 28 may filter sound information and then filter image information, or may filter sound information and image information at the same time.

Depending on the embodiment, the server control unit 28 may classify sounds according to preset conditions and calculate sound information.

For example, sound information can be calculated by classifying sounds based on at least one of the sounds of water, insects, birds or waterfalls, wind, birds or wind, insects, and waterfalls.

Depending on the embodiment, the server control unit 28 may preprocess the basic video information before or simultaneously with filtering the image information and sound information. At this time, noise may be removed simultaneously with preprocessing.

For example, automatically remove and correct the image information included in the basic image information by identifying brokenness, unclear parts, brightness, clarity, etc., or automatically remove the sound information by identifying the sound deviation, sound range, sound balance, etc. and can be corrected.

According to the embodiment, the server control unit 28 calculates sound information included in the basic image information, extracts keywords included in the calculated sound information, and filters using the extracted keywords to obtain sound properties consisting of natural sounds. Information can be generated.

For example, the server control unit 28 extracts words included in sound information and performs tokenization using a space removal filter and a special character removal filter so that the extracted words are divided into the minimum unit of meaningful words. Afterwards, a refinement process is performed to highlight the meaning of the remaining words by removing noise data for words with low frequency of occurrence or words that are repeated a lot included in the data after the tokenization process, and the data after the refinement process is performed. Sound information can be generated by normalizing.

Then, the server control unit 28 matches image attribute information made up of natural colors filtered based on the basic image information and sound attribute information made up of natural sounds filtered based on the basic image information, and merges them to reconstruct the basic image information. Final image information can be generated.

Depending on the embodiment, the server control unit 28 reconstructs basic image information by matching basic sound information and image attribute information consisting of natural colors and merging them, or matching basic image information and sound attribute information consisting of natural sounds and merging them. Thus, basic image information can be reconstructed.

Depending on the embodiment, when the basic image information does not include sound, the server control unit 28 matches image attribute information with sound attribute information consisting of natural sounds generated by filtering only sound information added separately at the user's request. And by merging them, the basic image information can be reconstructed to generate the final image information.

According to the embodiment, when the basic video information does not include sound, the server control unit 28 matches the image attribute information with sound attribute information consisting of natural sounds generated by filtering the sound information in which the user's voice is recorded, and matches the image attribute information. The final image information can be generated by merging and reconstructing the basic image information.

Depending on the embodiment, when the basic video information does not include sound, the server control unit 28 may reconstruct the basic video information using only image attribute information to generate final video information.

Depending on the embodiment, when basic image information is uploaded by the user terminal 10, the server control unit 28 may reconfigure the basic image information to suit the user, generate customized final image information, and provide it to the user. .

Depending on the embodiment, the server control unit 28 may generate a feedback control signal that can improve the service providing the final video information in response to the feedback signal received from the user terminal 10.

Depending on the embodiment, the server control unit 28 may generate a feedback control signal containing event information to further increase the use of the service providing the final image information of the user terminal 10. At this time, event information may be included in the final video information.

Such management server 20 may be implemented by hardware circuits (eg, CMOS-based logic circuits), firmware, software, or a combination thereof. For example, it can be implemented using transistors, logic gates, and electronic circuits in the form of various electrical structures.

The management server 20 with this structure is filtered based on the basic image information, matches image attribute information made up of natural colors and sound attribute information made up of natural sounds, and then merges them to generate final video information in which the basic video information is reconstructed. By providing this information to the user terminal 10, the user watching the final video information is relieved of ear fatigue and eye fatigue, and can further increase concentration while maintaining mental and physical stability.

The operation of the image production system for mental and physical stability according to an embodiment of the present invention having this structure is as follows. FIG. 2 is a diagram for explaining a method of producing an image for mental and physical stability according to an embodiment of the present invention, FIG. 3 is a diagram for explaining the step of filtering the image information shown in FIG. 2, and FIG. 4 is a diagram for This is a diagram to explain the steps of filtering sound information shown in Figure 2.

First, as shown in FIG. 2, the management server 20 can preprocess basic image information (S100).

At this time, the management server 20 may remove noise simultaneously with preprocessing.

For example, the management server 20 detects and automatically removes and corrects damage, unclear parts, brightness, sharpness, etc. of the image information included in the basic image information, or adjusts sound deviation, sound range, sound balance, etc. of the sound information. can be identified and automatically removed and corrected.

Here, the basic image information may be information uploaded from the user terminal 10, but is not limited thereto.

Next, the management server 20 can calculate image information included in the basic image information (S110).

Specifically, the management server 20 can extract images for each frame from basic image information and calculate image information for the extracted images.

For example, the management server 20 sets the unit of at least 5 seconds from the basic video information, sets a bounding box for each frame, and then provides predicted coordinate information for the image located within the set bounding box. After extraction, the image can be extracted by labeling the predicted coordinate information, and image information for the extracted image can be calculated.

Depending on the embodiment, the management server 20 may automatically calculate image information included in basic image information by repeatedly learning using deep learning techniques or machine learning techniques based on big data.

Depending on the embodiment, the management server 20 may classify images according to preset conditions and calculate image information.

Next, it is determined whether the image information and the iSoft information match (S120), and if they do not match, the management server 20 may filter the image information into natural colors to generate image attribute information (S130, S140).

Specifically, the management server 20 may filter the image information so that the image information is identical to the iSoft information.

For example, referring to Figure 3, when the image information and iSoft information do not match each other (see Figure 3(a)), the image generated using high brightness with a value of 8 and low saturation with a value of 2 is used. Using iSoft Information RGB(163, 204, 163), RGB(181, 214, 146), and RGB(214, 230, 245) (see Figure 3(b)), image information is filtered into natural colors to determine image properties. Information can be generated (see Figure 3(c)).

Next, it is determined whether sound is included in the basic image information (S150), and if sound is included, the management server 20 can calculate sound information (S160).

For example, the management server 20 can automatically calculate sound information included in basic image information by repeatedly learning using deep learning techniques or machine learning techniques based on big data.

Depending on the embodiment, the management server 20 may classify sounds according to preset conditions and calculate sound information.

Next, the management server 20 can generate sound attribute information using white noise and pink noise based on the sound information (S170).

For example, referring to FIG. 4, the management server 20 uses white noise and pink noise (see FIG. 4(b)) based on noise-removed sound information (see FIG. 4(a)) to generate sound information. By filtering, sound attribute information consisting of natural sounds can be generated.

Depending on the embodiment, the management server 20 may classify sounds according to preset conditions and calculate sound information.

According to the embodiment, the management server 20 calculates sound information included in the basic image information, extracts keywords included in the calculated sound information, and filters using the extracted keywords to obtain sound properties consisting of natural sounds. Information can be generated.

Finally, based on the basic image information, the management server 20 matches filtered image attribute information consisting of natural colors and sound attribute information consisting of natural sounds, and merges them to reconstruct the basic image information to generate final image information. You can do it (S180, S190).

Accordingly, the management server 20 filters image information for basic image information into natural colors to relieve eye fatigue, and filters sound information into natural sounds to relieve ear fatigue, thereby improving the user's mental and physical stability and concentration. You can create a video that can be done.

Depending on the embodiment, the management server 20 matches basic sound information and image attribute information made up of natural colors and merges them to reconstruct basic image information, or matches basic image information and sound attribute information made up of natural sounds and merges them. Thus, basic image information can be reconstructed.

Meanwhile, it is determined whether the image information and the iSoft information match (S120), and if they match, the management server 20 can generate image attribute information in which the image information is maintained (S200).

In addition, it is determined whether sound is included in the basic video information (S150), and if sound is not included, the management server 20 reconstructs the basic video information using only the image attribute information made up of natural colors by filtering the image information. Final image information can be generated.

Depending on the embodiment, when the basic image information does not include sound, the management server 20 matches image attribute information with sound attribute information consisting of natural sounds generated by filtering only sound information added separately at the user's request. And by merging them, the basic image information can be reconstructed to generate the final image information.

According to the embodiment, when the basic video information does not include sound, the management server 20 matches the image attribute information with sound attribute information consisting of natural sounds generated by filtering the sound information in which the user's voice is recorded, and matches the image attribute information. The final image information can be generated by merging and reconstructing the basic image information.

Depending on the embodiment, when basic image information is uploaded by the user terminal 10, the management server 20 may reorganize the basic image information to suit the user, generate customized final image information, and provide it to the user. .

As described above, an EEG evaluation test for improvement in concentration of the final image information produced for mental and physical stability according to an embodiment of the present invention was conducted as follows.

In order to verify the improvement of concentration in the present invention, an electroencephalographic evaluation test was conducted by selecting five adult men and women in their 20s and 30s as test subjects (A to E), and basic image information (comparative example) and final image information (example) were used. Brain waves were measured while watching or exercising while watching, and each concentration index was evaluated based on psychological stability. Here, the concentration index (beta/highbetax 100) refers to an index that can keep performance constant while stress does not increase and the brain remains clear. The higher the index, the higher the concentration.

At this time, the test conditions are that the test subject has no physical or mental disabilities using brain wave experiment equipment based on the 10-20 method, does not exercise vigorously 1 day before the test, and does not consume drugs or caffeine 3 hours prior to the test. can be inspected, but is not limited to this.

Additionally, the basic image information may be an image containing various types of images or videos including sound, and the final image information may be information reconstructed by filtering the images and sounds based on the basic image information.

Referring to Table 1 below, when watching the example of the present invention, concentration was further improved compared to the comparative example.

Specifically, when subject A (female in her 20s) watched the basic image information (comparative example), the concentration index was 87, and when she watched the final image information (example), the concentration index was 117, measuring brain waves. It can be seen that the concentration index value was measured to be 32.23% higher than that of the comparative example.

In addition, when subject B (a woman in her 20s) watched the basic image information (comparative example), the concentration index was 121, and when she watched the final image information (example), the concentration index was 160, which was measured by measuring brain waves. It can be seen that the concentration index value was measured to be 34.48% higher than the comparative example.

In addition, when subject C (a woman in her 30s) watched the basic image information (comparative example), the concentration index was 97, and when she watched the final image information (example), the concentration index was 121, which was measured by measuring brain waves. It can be seen that the concentration index value was measured to be 24.74% higher than the comparative example.

In addition, when subject D (a woman in her 30s) watched the basic image information (comparative example), the concentration index was 101, and when she watched the final image information (example), the concentration index was 133, which was measured by measuring brain waves. It can be seen that the concentration index value was measured to be 31.68% higher than the comparative example.

In addition, when subject E (male in his 20s) watched the basic image information (comparative example), the concentration index was 108, and when he watched the final image information (example), the concentration index was 147, which was measured by measuring brain waves. It can be seen that the concentration index value was measured to be 36.11% higher than the comparative example.

Concentration index (beta/highbetax 100)
subject	Comparative example (basic image information)	Example (final image information)	Result value (%)
Subject A	87	117	32.23%
Subject B	121	160	34.48%
Subject C	97	121	24.74%
Subject D	101	133	31.68%
Subject E	108	147	36.11%
medium	102.8	135.6	31.9%

In other words, looking at the concentration index for each stimulus of the subjects (A ~ E), when watching the basic image information (comparative example), the concentration index was 102.8, and when watching the final image information (example), the concentration index was 102.8. is 135.6, showing that the concentration index value measured by brain waves is 31.9% higher than that of the comparative example.

Accordingly, it can be seen that concentration is further improved when watching the embodiment of the present invention compared to the comparative example. That is, in the present invention, when watching the final video information provided by reconstructing the basic video information, eye fatigue is reduced by the filtered video, ear fatigue is reduced by the filtered sound, and mental and physical stability and concentration are improved. I got the result.

The steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. Software modules can be RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the invention pertains.

Above, embodiments of the present invention have been described with reference to the attached drawings, but those skilled in the art will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. You will be able to understand it. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive.

Claims (6)

1. In the video production method for mental and physical stability performed by the management server,

   Extracting image information included in basic image information and filtering the image information to generate image attribute information;

   Extracting sound information included in the basic image information and filtering the sound information to generate sound attribute information; and

   Comprising: generating final video information by matching the image attribute information and the sound attribute information,

   The step of generating the final image information is,

   Generating the final image information in which the basic image information is reconstructed by matching and merging the image attribute information, which consists of natural colors by filtering the image information, and the sound attribute information, which consists of natural sounds by filtering the sound information; Including video production methods for mental and physical stability.
2. According to paragraph 1,

   The step of generating the image attribute information is,

   Analyze the image information and i-Soft information, and if the image information and i-Soft information are different according to the analysis results, filter the image information so that the image information and i-Soft information are the same to generate the image attribute information. And, if the image information and the iSoft information are the same according to the analysis results, the image attribute information is generated by filtering the image information so that the image information is maintained.
3. According to paragraph 1,

   The step of generating the sound attribute information is,

   A video production method for mental and physical stability that generates the sound attribute information by filtering using white noise and pink noise based on the sound information.
4. According to paragraph 1,

   The step of generating the sound attribute information is,

   A video production method for mental and physical stability that extracts keywords included in the sound information and filters them using the extracted keywords to generate the sound attribute information consisting of natural sounds.
5. Extracting image information included in basic image information, filtering the image information to generate image attribute information, extracting sound information included in the basic image information, and filtering the sound information to generate sound attribute information; , a management server matching the image attribute information and the sound attribute information to generate final video information and transmitting it to the user terminal;

   The management server is,

   The image attribute information, which is made up of natural colors by filtering the image information, and the sound attribute information, which is made up of natural sounds by filtering the sound information, are matched and merged to generate the final image information in which the basic image information is reconstructed, providing mental and physical stability. Video production system for.
6. A computer program combined with a computer as hardware and stored in a computer-readable recording medium so as to perform the method of claim 1.

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