KR20240037557A - Method, computer device, and computer program for saving video storage space - Google Patents

Abstract

A method of saving video storage space executed on a computer device, wherein the computer device includes at least one processor configured to execute computer-readable instructions included in a memory, and the method of saving video storage space includes: the at least one processor storing the video in backup storage through video access monitoring using preset condition information; storing, by the at least one processor, the restored video obtained by performing video quality processing based on an access request for the video stored in the backup storage in video storage; and streaming, by the at least one processor, the restored video stored in the video storage through the video service.

Description

Method for saving video storage space, computer device, and computer program {METHOD, COMPUTER DEVICE, AND COMPUTER PROGRAM FOR SAVING VIDEO STORAGE SPACE}

The explanation below is about video storage technology.

Consumption of online and mobile video content is rapidly increasing due to high-speed mobile communications and the widespread use of mobile devices. Due to the expansion of online streaming platforms on the web and mobile, a huge amount of video content is being uploaded every day, and more high-capacity (high frame rate and high resolution) video content will be uploaded in the future.

Among the numerous video contents, there are quite a few video contents that are not accessible to users and have a low number of views close to zero. These video contents continue to occupy a large amount of storage space unnecessarily, and since access to the video content may be requested intermittently, they cannot be deleted and a method to effectively store them is needed.

Video access monitoring allows you to save video storage space by saving videos to backup storage.

By performing video quality processing based on an access request for video stored in backup storage, the obtained restored video can be streamed through a video service.

A method of saving video storage space executed on a computer device, wherein the computer device includes at least one processor configured to execute computer-readable instructions included in a memory, and the method of saving video storage space includes: the at least one processor storing the video in backup storage through video access monitoring using preset condition information; storing, by the at least one processor, the restored video obtained by performing video quality processing based on an access request for the video stored in the backup storage in video storage; and streaming, by the at least one processor, the restored video stored in the video storage through the video service.

The storing in the backup storage may include determining videos that have not been accessed for a preset period of time in the video service.

The storing in the backup storage may include storing the video whose size is reduced through video compression for the video that has not been accessed for the determined preset time in the backup storage.

The storing in the backup storage may include converting a high-resolution video to a low-resolution video through video down-scaling for a video that has not been accessed for the preset time.

The storing in the backup storage may include converting a high frame rate video into a low frame rate video through video frame reduction for the converted low resolution video.

Storing the video in the video storage may include determining storage space information of the video based on an access request for the video.

The step of storing the video in the video storage may include obtaining a restored video through video restoration for the video if the video is stored in the backup storage.

The storing in the video storage may include converting a low-resolution video into a high-resolution video through video super resolution for the video stored in the backup storage.

The storing in the video storage may include converting a low frame rate video into a high frame rate video through video frame interpolation for the video stored in the backup storage.

The storing in the video storage may include storing the obtained restored video in the video storage.

It may include a computer program stored in a non-transitory computer-readable recording medium for executing the video storage space saving method on the computer device.

A computer device comprising: at least one processor configured to execute computer-readable instructions included in a memory, wherein the at least one processor stores video in backup storage through video access monitoring using preset condition information; , The restored video obtained by performing video quality processing based on an access request for the video stored in the backup storage can be stored in the video storage, and the restored video stored in the video storage can be streamed through the video service.

Video access monitoring allows efficient use of video storage space by storing videos in backup storage.

You can save video storage space while minimizing video loss and maintaining video quality information.

1 is a diagram illustrating an example of a network environment according to an embodiment.
Figure 2 is a block diagram illustrating an example of a computer device according to an embodiment.
Figure 3 is a flowchart showing an example of a method that a computer device can perform according to an embodiment.
Figure 4 is a flowchart illustrating a method of storing restored video in a video storage, according to one embodiment.
Figure 5 is a diagram for explaining a video storage space saving operation in one embodiment.
FIG. 6 is a diagram illustrating a video resolution conversion operation to save video storage space, according to an embodiment.
FIG. 7 is a diagram for explaining a video frame interpolation operation to save video storage space, according to an embodiment.
FIG. 8 is an example to explain video compression and decompression operations according to an embodiment.
FIG. 9 is an example to explain an operation of streaming restored video through a video service, according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings.

In the embodiment, a technology for saving video storage space will be described.

Embodiments including those specifically disclosed herein can save video storage space by streaming restored video converted through video quality processing for video stored in backup storage based on a video access request through a video service. there is.

The video storage system according to embodiments of the present invention may be implemented by at least one computer device, and the method of saving video storage space according to embodiments of the present invention may include at least one computer device included in the video storage system. It can be performed through At this time, the computer program according to one embodiment may be installed and driven in the computer device, and the computer device may perform the video storage space saving method according to the embodiments under the control of the driven computer program. The above-described computer program can be combined with a computer device and stored on a computer-readable recording medium to execute the video storage space saving method on the computer.

1 is a diagram illustrating an example of a network environment according to an embodiment. The network environment in FIG. 1 shows an example including a plurality of electronic devices 110, 120, 130, and 140, a plurality of servers 150 and 160, and a network 170. Figure 1 is an example for explaining the invention, and the number of electronic devices or servers is not limited as in Figure 1. In addition, the network environment in FIG. 1 only explains one example of environments applicable to the present embodiments, and the environment applicable to the present embodiments is not limited to the network environment in FIG. 1.

The plurality of electronic devices 110, 120, 130, and 140 may be fixed terminals or mobile terminals implemented as computer devices. Examples of the plurality of electronic devices 110, 120, 130, and 140 include smart phones, mobile phones, navigation devices, computers, laptops, digital broadcasting terminals, Personal Digital Assistants (PDAs), and Portable Multimedia Players (PMPs). ), tablet PC, etc. For example, in FIG. 1, the shape of a smartphone is shown as an example of the electronic device 110, but in embodiments, the electronic device 110 actually communicates with other electronic devices through the network 170 using a wireless or wired communication method. It may refer to one of a variety of physical computer devices capable of communicating with (120, 130, 140) and/or servers (150, 160).

The communication method is not limited, and may include not only a communication method utilizing a communication network that the network 170 may include (for example, a mobile communication network, wired Internet, wireless Internet, and a broadcast network), but also short-range wireless communication between devices. For example, the network 170 may include a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), and a broadband network (BBN). , may include one or more arbitrary networks such as the Internet. Additionally, the network 170 may include any one or more of network topologies including a bus network, star network, ring network, mesh network, star-bus network, tree or hierarchical network, etc. Not limited.

Each of the servers 150 and 160 is a computer device or a plurality of computers that communicate with a plurality of electronic devices 110, 120, 130, 140 and a network 170 to provide commands, codes, files, content, services, etc. It can be implemented with devices. For example, the server 150 may be a system that provides services (for example, a video storage space saving service, etc.) to a plurality of electronic devices 110, 120, 130, and 140 connected through the network 170. there is.

Figure 2 is a block diagram illustrating an example of a computer device according to an embodiment. Each of the plurality of electronic devices 110, 120, 130, and 140 described above or each of the servers 150 and 160 may be implemented by the computer device 200 shown in FIG. 2.

As shown in FIG. 2, this computer device 200 may include a memory 210, a processor 220, a communication interface 230, and an input/output interface 240. The memory 210 is a computer-readable recording medium and may include a non-permanent mass storage device such as random access memory (RAM), read only memory (ROM), and a disk drive. Here, non-perishable large-capacity recording devices such as ROM and disk drives may be included in the computer device 200 as a separate permanent storage device that is distinct from the memory 210. Additionally, an operating system and at least one program code may be stored in the memory 210. These software components may be loaded into the memory 210 from a computer-readable recording medium separate from the memory 210. Such separate computer-readable recording media may include computer-readable recording media such as floppy drives, disks, tapes, DVD/CD-ROM drives, and memory cards. In another embodiment, software components may be loaded into the memory 210 through the communication interface 230 rather than a computer-readable recording medium. For example, software components may be loaded into memory 210 of computer device 200 based on computer programs installed by files received over network 170.

The processor 220 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. Commands may be provided to the processor 220 by the memory 210 or the communication interface 230. For example, processor 220 may be configured to execute received instructions according to program code stored in a recording device such as memory 210.

The communication interface 230 may provide a function for the computer device 200 to communicate with other devices (eg, the storage devices described above) through the network 170. For example, a request, command, data, file, etc. generated by the processor 220 of the computer device 200 according to a program code stored in a recording device such as memory 210 is transmitted to the network ( 170) and can be transmitted to other devices. Conversely, signals, commands, data, files, etc. from other devices may be received by the computer device 200 through the communication interface 230 of the computer device 200 via the network 170. Signals, commands, data, etc. received through the communication interface 230 may be transmitted to the processor 220 or memory 210, and files, etc. may be stored in a storage medium (as described above) that the computer device 200 may further include. It can be stored as a permanent storage device).

The input/output interface 240 may be a means for interfacing with the input/output device 250. For example, input devices may include devices such as a microphone, keyboard, or mouse, and output devices may include devices such as displays and speakers. As another example, the input/output interface 240 may be a means for interfacing with a device that integrates input and output functions into one, such as a touch screen. The input/output device 250 may be configured as a single device with the computer device 200.

Additionally, in other embodiments, computer device 200 may include fewer or more components than those of FIG. 2 . However, there is no need to clearly show most prior art components. For example, the computer device 200 may be implemented to include at least some of the input/output devices 250 described above, or may further include other components such as a transceiver, a database, etc.

Hereinafter, specific embodiments of a method and device for saving video storage space will be described.

The computer device 200 according to the embodiment may provide a video service to a client through a dedicated application installed on the client or a connection to a web/mobile site related to the computer device 200. The computer device 200 may be configured with a computer-implemented video storage system. For example, a video storage system may be implemented in the form of a program that operates independently, or may be implemented in the form of an in-app of a specific application so that it can operate on the specific application.

The processor 220 of the computer device 200 may be implemented as a component for performing the following video storage space saving method. Depending on the embodiment, components of the processor 220 may be selectively included in or excluded from the processor 220. Additionally, depending on the embodiment, components of the processor 220 may be separated or merged to express the functions of the processor 220.

The processor 220 and the components of the processor 220 can control the computer device 200 to perform the steps included in the video storage space saving method below. For example, the processor 220 and its components may be implemented to execute instructions according to the code of an operating system included in the memory 210 and the code of at least one program.

Here, the components of the processor 220 may be expressions of different functions performed by the processor 220 according to instructions provided by program codes stored in the computer device 200.

The processor 220 may read necessary instructions from the memory 210 where instructions related to controlling the computer device 200 are loaded. In this case, the read command may include an command for controlling the processor 220 to execute steps that will be described later.

Steps including the video storage space saving method to be described later may be performed in an order different from the order shown, and some of the steps may be omitted or additional processes may be included.

In the embodiment, an operation of saving video storage space by storing video in backup storage through video access monitoring will be described.

Figure 3 is a flowchart showing an example of a method that a computer device can perform according to an embodiment.

In step S310, the processor 220 may store the video in backup storage through video access monitoring using preset condition information. The processor 220 may set condition information for storing video in backup storage. For example, the processor 220 may set the number of views of the video as condition information as well as the period information for storing the video in the backup storage. In other words, the processor 220 may set at least one additional condition information including period information for storing the video in the backup storage. At this time, condition information can be added, deleted, or changed depending on the video situation or the user. Processor 220 may analyze video data related to video uploaded or streamed to a video service through video access monitoring. For example, the processor 220 may monitor the upload date of the video, the modification date of the video, the number of times the video is compressed and decoded, the number of video views, etc. For example, the processor 220 may store inaccessible videos for a preset period (eg, 6 months) in backup storage through video access monitoring.

In step S320, the processor 220 may store the restored video obtained by performing video quality processing based on an access request for the video stored in the backup storage in the video storage. For example, a video access request may be a request related to video control, such as play, stop, pause, rewind, or forward for a video uploaded to a video service, and may be a request for video uploaded to the video service through the same or another service. It may include requests related to sharing and copying for movement. Processor 220 may perform video quality processing through video super-resolution and/or video frame interpolation on video stored in backup storage. In other words, video quality processing may be for restoring low-capacity video stored in backup storage to high-capacity video.

Referring to FIG. 4, it is a flowchart explaining a method of storing restored video in a video storage. In step S410, the processor 220 may determine storage space information of the video. At this time, video storage space information may mean location information where the video is stored (for example, backup storage or video storage). In step S420, the processor 220 may determine whether the video is stored in backup storage. In step S430, the processor 220 may perform video restoration on the video as it is determined that the video is stored in the backup storage. In step S440, the processor 220 may obtain restored video by performing video restoration. In step S450, the processor 220 may store the obtained restored video in video storage.

In step S330, the processor 220 may stream the obtained restored video stored in the video storage through a video service. The processor 220 can stream a high-capacity video converted through video restoration for a low-capacity video stored in video storage through a video service. Additionally, the processor 220 can stream the original video stored in the video storage through a video service. In other words, the processor 220 may stream a video having similar or identical quality information as the original video through a video service.

Referring to FIG. 9, this is an example to explain the operation of streaming restored video through a video service. The processor 220 may output video played through a video service to the video service screen 900. A video service may provide a service that plays and controls videos uploaded by users. For example, video services may be provided by various services such as video players, social network services, and messaging services. For example, the processor 220 may execute a video service provided by a messaging service. The processor 220 can play video through a video service provided by a messaging service.

The processor 220 may stream video access requested through a video service. The processor 220 may provide a user interface for requesting video access to the video service, and may receive that a video uploaded to the video service is selected through the provided user interface. For example, the processor 220 may provide the video service with a video corresponding to a search term entered to request video access through a search window provided in the video service. The processor 220 may stream the converted restored video through a video service through video restoration of the video stored in the backup storage based on the video access request, or stream the original video stored in the video storage through the video service. can do. In addition, the processor 220 provides a user interface for controlling video streaming to a video service, and plays, stops, pauses, records, and reverts the streaming video based on the user's control commands through the provided user interface. You can perform functions such as:

Figure 5 is a diagram for explaining a video storage space saving operation in one embodiment.

First, the operation of saving a video will be explained. The processor 220 may store the video uploaded through the video service 500 in the video storage 502. The processor 220 may store the video in the backup storage 501 through video access monitoring 503 using preset condition information. For example, the processor 220 determines a video that has not been accessed for a preset period of time in the video service 500 through video access monitoring 503 using preset condition information for the video stored in the video storage 502 ( 504) You can. The processor 220 may store a video whose size has been reduced in the backup storage 501 through video compression for a video that has not been accessed for a determined preset time. Video compression is a method of reducing the size of video files, such as reducing the frame size (Number of Pixels), reducing the number of color bits per pixel (Color Bit Depth), and reducing the number of frames (fps), and reducing the visual impact between frames. In order to reduce the amount of information in a small portion, inter-frame coding records only the difference value using the pixel value at the same position in the previous (front) frame, and uses the component of the object movement detected in the previous and next frame to predict the previous frame. There may be various methods, such as video compression (encoding) methods, such as motion compensation and inter-frame predictive coding that correct the position of the pixel. In the embodiment, video compression using video frame reduction 506 and video down-scale 505 will be described as an example. The processor 220 may convert high-resolution video to low-resolution video through video down-scale 505 for video that has not been accessed for a preset time. The processor 220 may convert a high frame rate video into a low frame rate video through video frame reduction 506 for the converted low resolution video. The processor 220 may reduce the number of frames through frame sampling. At this time, the processor 220 may perform frame sampling based on the frame sampling degree set by the user (eg, 50% reduction).

Additionally, the processor 220 may perform video compression separately and overlapping with its own video compression technology (codec). For example, when generating a video, the processor 220 may generate the video using the video's own compression format (eg, MPEG). The processor 220 uploads a video created using the video's own compression format to the video service 500, and if there is no access request after a certain period of time, the video is reduced in size through video compression of the uploaded video. It can be stored in backup storage 501. Accordingly, the video capacity can be further reduced through the video's own compression format and the video compression proposed in the embodiment.

Processor 220 may store video in video storage 502 or backup storage 501 . After the video is stored in the video storage 502, a video access request 510 from a user to watch the video may be received through the video service 500.

The processor 220 may determine the storage space information of the video based on the video access request. Processor 220 may determine whether video is stored in video storage 502 or backup storage 501. If a video is stored in the video storage 502, the processor 220 may stream the video stored in the video storage 502 through the video service 500. If a video is stored in the backup storage 501, the processor 220 can obtain a restored video through video restoration. For example, the processor 220 may perform video restoration processing, including Video Super Resolution 507 and Video Frame Interpolation 508, on video stored in backup storage. .

The processor 220 can convert a low-resolution video into a high-resolution video through video super-resolution 507 using a GPU server for the video stored in the backup storage. Referring to FIG. 6, this is a diagram to explain a video resolution conversion operation to save video storage space. Super Resolution (SR) refers to a technology that converts low-resolution video into high-resolution video, and exists in a variety of ways, from methods such as Nearest Neighbor, Bilinear, and Bicubic to methods using deep learning technology. The processor 220 can convert low-resolution video into high-resolution video using various types of super-resolution technology.

The processor 220 may convert a low frame rate video into a high frame rate video through video frame interpolation 507 using a GPU server for the video stored in the backup storage. For example, the processor 220 may convert the high-resolution video converted through the video super-resolution 507 into a high frame rate video through video frame interpolation 508. Referring to FIG. 7, this is a diagram to explain a video frame interpolation operation to save video storage space. Video frame interpolation is a technology that combines several frames in the middle of two adjacent frames of an original video composed of frames. For example, by combining the first frame and the third frame, the The second frame is derived. There are a variety of video frame interpolation technologies, including CNN-based, PAHSE-based, Flow-based, GAN-based, and Hybrid-based. For example, finding out how an object moves in a frame at the pixel level, or concatenating two resulting candidate frames generated by warping each of two frames, inputting a concatenated frame into a refinement network. Thus, video frame interpolation can be performed.

The processor 220 may store the obtained restored video in the video storage 502. The processor 220 may stream the restored video stored in the video storage 502 through the video service 500.

Additionally, the processor 220 may perform re-backup through access monitoring 503 for restored video. The processor 220 may store the video in the backup storage 501 through video access monitoring 503 using preset condition information for the restored video. Referring to FIG. 8, this is an example to explain video compression and restoration operations. Let's assume that the video consists of the first to sixth frames. The processor 220 may perform video compression 810 on video. For example, the processor 220 may delete the second frame, fourth frame, and sixth frame included in the video through 50% frame sampling. At this time, the processor 220 may store original video information and deleted frame information related to the video. The processor 220 may perform video restoration 820 on the video stored in the backup storage 501. The processor 220 may restore the deleted second frame, fourth frame, and sixth frame using original video information and deleted frame information related to the stored video. The processor 220 may obtain restored video through video restoration 820. When the processor 220 wants to cancel video restoration 820 for the restored video, the processor 220 can find the original video through synchronization of the stored deleted frame information and the original video information. In addition, since the processor 220 stores deleted frame information in relation to the original video even when performing a re-backup of the restored video, the processor 220 performs video compression 810 on the restored video in the same manner using the stored deleted frame information. It can be done. The processor 220 may store the restored video whose capacity has been reduced through video compression 810 in the backup storage 501 . The processor 220 may perform video restoration 820 on a restored video with a reduced capacity stored in the backup storage 501. The processor 220 may obtain a restored video through video restoration 820 for a video with reduced capacity using deleted frame information stored in relation to the original video. In this way, by storing the original video and frame information related to the original video, video compression and restoration can be performed while minimizing image loss of the original video as much as possible and maintaining quality information similar to the original video.

The device described above may be implemented with hardware components, software components, and/or a combination of hardware components and software components. For example, devices and components described in embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), etc. , may be implemented using one or more general-purpose or special-purpose computers, such as a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. A processing device may execute an operating system (OS) and one or more software applications that run on the operating system. Additionally, a processing device may access, store, manipulate, process, and generate data in response to the execution of software. For ease of understanding, a single processing device may be described as being used; however, those skilled in the art will understand that a processing device includes multiple processing elements and/or multiple types of processing elements. It can be seen that it may include. For example, a processing device may include a plurality of processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are possible.

Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing unit to operate as desired, or may be processed independently or collectively. You can command the device. Software and/or data may be used on any type of machine, component, physical device, virtual equipment, computer storage medium or device to be interpreted by or to provide instructions or data to a processing device. It can be embodied in . Software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and configured for the embodiment or may be known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes optical media (magneto-optical media) and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

As described above, although the embodiments have been described with limited examples and drawings, various modifications and variations can be made by those skilled in the art from the above description. For example, the described techniques are performed in a different order than the described method, and/or components of the described system, structure, device, circuit, etc. are combined or combined in a different form than the described method, or other components are used. Alternatively, appropriate results may be achieved even if substituted or substituted by an equivalent.

Therefore, other implementations, other embodiments, and equivalents of the claims also fall within the scope of the claims described below.

Claims (20)

In a method of saving video storage space running on a computer device,
The computer device includes at least one processor configured to execute computer readable instructions contained in a memory,
The method for saving video storage space is,
storing the video in backup storage through video access monitoring using preset condition information, by the at least one processor;
storing, by the at least one processor, the restored video obtained by performing video quality processing based on an access request for the video stored in the backup storage in video storage; and
Streaming, by the at least one processor, the restored video stored in the video storage through the video service.
How to save video storage space, including . According to paragraph 1,
The step of saving in the backup storage is,
Step of determining videos that have not been accessed for a preset period of time in the video service
How to save video storage space, including . According to paragraph 2,
The step of saving in the backup storage is,
A step of storing a video whose size has been reduced through video compression for a video that has not been accessed for the determined preset time in backup storage.
How to save video storage space, including . According to paragraph 3,
The step of saving in the backup storage is,
Converting high-resolution video to low-resolution video through video down-scale for video that has not been accessed for the preset time.
How to save video storage space, including . According to paragraph 4,
The step of saving in the backup storage is,
Converting a high frame rate video to a low frame rate video through video frame reduction for the converted low resolution video.
How to save video storage space, including . According to paragraph 1,
The step of storing in the video storage is,
Determining storage space information of the video based on the access request for the video
How to save video storage space, including . According to clause 6,
The step of storing in the video storage is,
If the video is stored in backup storage through the determination, obtaining a restored video through video restoration for the video.
How to save video storage space, including . In clause 7,
The step of storing in the video storage is,
Converting low-resolution video to high-resolution video through video super resolution for the video stored in the backup storage.
How to save video storage space, including . According to clause 8,
The step of saving in the video storage is,
Converting low frame rate video to high frame rate video through video frame interpolation for the video stored in the backup storage.
How to save video storage space, including . In clause 7,
The step of storing in the video storage is,
Storing the obtained restored video in video storage
How to save video storage space, including . A computer program stored in a non-transitory computer-readable recording medium for executing the video storage space saving method of any one of claims 1 to 10 on the computer device. In computer devices,
At least one processor configured to execute computer readable instructions contained in memory
Including,
The at least one processor,
Save the video to backup storage through video access monitoring using preset condition information,
Store the restored video obtained by performing video quality processing based on an access request for the video stored in the backup storage in video storage,
Streaming the restored video stored in the video storage through the video service
A computer device characterized in that. According to clause 12,
The at least one processor,
Determines videos that have not been accessed for a preset period of time in the video service.
A computer device characterized in that. According to clause 13,
The at least one processor,
Saving the video whose size has been reduced through video compression for the video that has not been accessed for the determined preset time in backup storage.
A computer device characterized in that. According to clause 14,
The at least one processor,
Converting high-resolution video to low-resolution video through video down-scale for video that has not been accessed for the preset time.
A computer device characterized in that. According to clause 15,
The at least one processor,
Converting a high frame rate video to a low frame rate video through video frame reduction for the converted low-resolution video.
A computer device characterized in that. According to clause 12,
The at least one processor,
Determining the storage space information of the video based on the access request for the video
A computer device characterized in that. According to clause 17,
The at least one processor,
If the video is stored in backup storage through the determination, obtaining the restored video through video restoration for the video
A computer device characterized in that. According to clause 18,
The at least one processor,
Converting low-resolution video to high-resolution video through video super resolution for the video stored in the backup storage.
A computer device characterized in that. According to clause 19,
The at least one processor,
Converting low frame rate video to high frame rate video through video frame interpolation for the video stored in the backup storage.
A computer device characterized in that.

Images