KR102365431B1 - Electronic device for providing target video in sports play video and operating method thereof - Google Patents

Abstract

Various embodiments relate to an electronic device for providing a target image in a game image and an operating method thereof, and by mapping text relay data and a game image based on events occurring during a sports game, in the text relay data and the game image Detecting the reference point and the reference position, respectively, using the time interval between the reference time and the target time in the text relay data, detecting the target position from the reference position in the game image, based on the target position in the game image It may be configured to provide a target image.

Description

Electronic device for providing a target image in a game video and an operating method thereof

Various embodiments relate to an electronic device for providing a target video in a sports play video and an operating method thereof.

In general, a game video for a sports game is provided. However, there are user requests for a target image for a specific situation that occurs during a sports game. For this reason, the electronic device generates a target image by analyzing images obtained through a plurality of cameras during a sports game, and provides the target image to the user. That is, the electronic device needs to analyze a large amount of data to generate a target image, and requires a complex infrastructure including cameras and a structure for communicating with the cameras.

Various embodiments provide an electronic device for detecting and providing a target image from a game image, and an operating method thereof.

Various embodiments provide an electronic device and an operating method thereof for efficiently providing a target image with low complexity in terms of operation and structure.

A method of operating an electronic device according to various embodiments of the present disclosure maps text relay data and a game image based on events occurring during a sports game, and detects a reference viewpoint and a reference position in the text relay data and the game image, respectively using the time interval between the reference time and the target time in the text relay data, detecting a target position from the reference position in the game image, and based on the target position in the game image It may include the step of providing a target image to

The computer program according to various embodiments may be stored in a non-transitory computer-readable recording medium in order to execute the operating method in the electronic device.

In a non-transitory computer-readable recording medium according to various embodiments, a program for executing the operating method in the electronic device is recorded.

An electronic device according to various embodiments of the present disclosure includes a memory and a processor connected to the memory and configured to execute at least one command stored in the memory, wherein the processor includes a text message based on events occurring during a sports game. By mapping the relay data and the game image, the reference time point and the reference position are respectively detected in the text relay data and the game image, and using the time interval between the reference point and the target time in the text relay data, the It may be configured to detect a target position from the reference position in the game image, and provide a target image based on the target position in the game image.

According to various embodiments, the electronic device may detect and provide a target image from a game image based on text relay data. At this time, as the text relay data and the game image are used, the electronic device according to various embodiments described in this document can be performed without additional infrastructure for acquiring a new image. Accordingly, the electronic device may efficiently provide the target image with low complexity in terms of operation and structure. Also, according to this, the electronic device may provide the target image at a high speed. For example, the electronic device may provide the target image within a few minutes from the end of the sports game.

1 is a diagram illustrating an electronic device according to various embodiments of the present disclosure;
2 and 3 are diagrams for explaining operating features of an electronic device according to various embodiments of the present disclosure.
4A and 4B are diagrams for explaining a service provided by an electronic device according to various embodiments.
5 is a diagram illustrating a method of operating an electronic device according to various embodiments of the present disclosure;
FIG. 6 is a diagram illustrating the text relay data of FIG. 5 and the mapping process of the game image.
7 is a diagram illustrating the steps of detecting a reference point in the text relay data of FIG. 5 and detecting a reference position in a game image.
8, 9, 10, and 11 are diagrams for explaining a method of operating an electronic device according to an exemplary embodiment.

Hereinafter, various embodiments of the present document will be described with reference to the accompanying drawings.

In this document, the term 'event' may mean an action or event that occurs during a sports game. For example, when the sports game is baseball, the event may include at least one of pitching, home run, hitting, and scoring. As another example, when the sporting event is soccer, the event may include at least one of scoring or shooting.

In this document, 'text relay data' may refer to text data relaying a real-time situation for a sports event. Here, the text relay data represents the details of the events, and may include, for example, identification information and an actual time point for each event. In this document, a 'game video' may refer to image data relaying a sports game. In this document, the 'target image' may indicate a partial image associated with at least one event in the game image.

1 is a diagram illustrating an electronic device 100 according to various embodiments. 2 and 3 are diagrams for explaining operational characteristics of the electronic device 100 according to various embodiments. 4A and 4B are diagrams for explaining a service provided by the electronic device 100 according to various embodiments of the present disclosure.

Referring to FIG. 1 , an electronic device 100 according to various embodiments includes a connection terminal 110 , a communication module 120 , an input module 130 , an output module 140 , a memory 150 , or a processor ( 160) may include at least one of. In some embodiments, at least one of the components of the electronic device 100 may be omitted, and at least one other component may be added. In some embodiments, at least any two of the components of the electronic device 100 may be implemented as one integrated circuit. In this case, the electronic device 100 may be a single server or may include a plurality of servers. According to an embodiment, the electronic device 100 may be a server for providing a target image as a partial image of a game image. According to another embodiment, the electronic device 100 includes a server for providing a target image as a partial image of a game image, and provides a server for live broadcasting of a game image during a sporting event or text relay data during a sporting event. It may further include at least one of the servers for

The connection terminal 110 may be physically connected to the external device 102 in the electronic device 100 . For example, the external device 102 may include another electronic device. To this end, the connection terminal 110 may include at least one connector. For example, the connector may include at least one of an HDMI connector, a USB connector, an SD card connector, or an audio connector.

The communication module 120 may communicate with the external devices 102 and 104 in the electronic device 100 . The communication module 120 may establish a communication channel between the electronic device 100 and the external devices 102 and 104 and communicate with the external devices 102 and 204 through the communication channel. The communication module 120 may include at least one of a wired communication module and a wireless communication module. The wired communication module may be connected to the external device 102 by wire through the connection terminal 102 to communicate via wire. The wireless communication module may include at least one of a short-range communication module and a long-distance communication module. The short-range communication module may communicate with the external device 102 in a short-distance communication method. For example, the short-range communication method may include at least one of Bluetooth, WiFi direct, and infrared data association (IrDA). The telecommunication module may communicate with the external device 104 in a telecommunication method. Here, the telecommunication module may communicate with the external device 104 through the network 190 . For example, network 190 may include at least one of a cellular network, the Internet, or a computer network such as a local area network (LAN) or a wide area network (WAN).

In this case, the external devices 102 and 104 may include at least one of other servers, electronic devices, satellites or base stations. For example, the electronic device includes a smart phone, a mobile phone, a navigation system, a computer, a laptop computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), a tablet PC, a game console, It may include at least one of a wearable device, an Internet of things (IoT) device, a home appliance, a medical device, and a robot. According to an embodiment, when the electronic device 100 is a server for providing a target image as a partial image of a game image, the other server is a server for live broadcasting a game image during a sports game or text relay data during a sports game It may include at least one of the servers for providing. In this case, the electronic device may request the target image from the electronic device 100 and use the target image provided by the electronic device 100 .

The input module 130 may input a signal to be used in at least one component of the electronic device 100 . The input module 130 is an input device configured to allow a user to directly input a signal to the electronic device 100 , a sensor device configured to generate a signal by sensing a surrounding environment, or capture an image to generate image data It may include at least one of the camera modules configured to do so. For example, the input device may include at least one of a microphone, a mouse, and a keyboard. In some embodiments, the sensor device may include at least one of a touch circuitry configured to sense a touch or a sensor circuit configured to measure an intensity of a force generated by the touch.

The output module 140 may output information. The output module 140 may include at least one of a display module configured to visually display information or an audio module configured to audibly reproduce information. For example, the display module may include at least one of a display, a hologram device, and a projector. For example, the display module may be implemented as a touch screen by being assembled with at least one of a touch circuit and a sensor circuit of the input module 130 . For example, the audio module may include at least one of a speaker and a receiver.

The memory 150 may store various data used by at least one component of the electronic device 100 . For example, the memory 150 may include at least one of a volatile memory and a non-volatile memory. The data may include at least one program and input data or output data related thereto. The program may be stored in the memory 150 as software including at least one instruction, for example, may include at least one of an operating system, middleware, or an application.

The processor 160 may execute a program in the memory 150 to control at least one component of the electronic device 100 . Through this, the processor 160 may process data or perform an operation. At this time, the processor 160 may execute a command stored in the memory 150 . The processor 160 may provide at least one target image based on a game image for a sports game. For example, the processor 160 may sequentially store unit images for a predetermined time period, for example, one minute, during live broadcasting of a sports game, and when the sports game ends, combine the unit images to generate a game image. there is. For example, when the sports game is baseball, the target image may be an individual turn at bat image. As another example, when a sports game is soccer, the target image may be an individual score image or a score collection image. In this case, the processor 160 may define a target image in the game image by using text relay data for the sports game.

According to various embodiments, the processor 160 may map the text relay data and the game image based on events occurring during a sports game. For example, when the sports game is baseball, each event may represent each pitch. As another example, when the sports game is soccer, each event may represent a respective score.

The processor 160 may confirm the occurrence positions of the events in the game image, respectively. Here, the occurrence positions only indicate temporal positions in the game image, respectively, and do not indicate actual times. According to an embodiment, the processor 160 may recognize the scoreboard of the game image, and check the occurrence positions of the events in the game image, respectively. For example, as shown in FIG. 2 , the processor 160 may identify locations of occurrence of events on a video timeline defined based on a game video. In addition, the processor 160 may recognize the predetermined motions in the game video, each of the motion sections of the motions between the occurrence positions can be confirmed. Here, the motions may represent actions of at least one object that satisfy at least one condition predetermined in relation to events, respectively. For example, the object may include at least one of a person or a thing. In addition, the processor 160 may check the actual time points of the events in the text relay data, respectively. For example, as shown in FIG. 2 , the processor 160 may check the actual time points of the events on an actual timeline defined based on text relay data. Through this, the processor 160 may map the occurrence locations and actual viewpoints, respectively, based on the events. In other words, the processor 160 may map the occurrence locations and actual time points, respectively, according to the order of the events.

According to various embodiments, the processor 160 may detect a reference viewpoint and a reference position in the text relay data and the game image, respectively. The processor 160 may detect an actual time point of a first event among events in the text relay data as a reference time point. In addition, the processor 160 may calculate time intervals between the reference time point and the actual time points of the remaining events among the text relay data, respectively. For example, the processor 160 may detect a reference point on an actual timeline and calculate time intervals as shown in FIG. 2 . Through this, the processor 160 may detect a reference position in the game image by applying time intervals to the motion sections of the game image, respectively. For example, as shown in FIG. 2 , the processor 160 may detect a reference position converging from the motion sections in the game video by subtracting and applying time intervals to the motion sections on the video timeline, respectively.

According to various embodiments, the processor 160 may calculate a time interval Δt between a reference time point and a target time point in the text relay data. For example, as shown in FIG. 3 , the processor 160 may determine a target time point on an actual timeline and calculate a time interval Δt between the reference time point and the target time point. Here, the target time may be determined based on the service user's request. For example, the processor 160 may receive a service user's request from the external devices 102 and 104 and determine a target time based on the received request.

For example, if the sports game is baseball, the processor 160 provides the first service screen as shown in FIG. 4A to the external devices 102 and 104, and the upper menu on the first service screen by the service user; For example, if 'View all images per turn at bat' is selected, the processor 160 may provide the second service screen as shown in FIG. 4B to the external devices 102 and 104 . Then, when the service user selects a sub-menu, for example, 'turn at bat image' of batter 4 on the second service screen by the service user, the processor 160 sets the target time of the first pitch of batter 4 in the corresponding turn at bat from the text relay data. can be determined as Through this, the processor 160 may calculate the time interval Δt between the reference time point and the target time point on the actual timeline.

According to various embodiments, the processor 160 may detect the target position from the reference position in the game image by using the time interval Δt. For example, as shown in FIG. 3 , the processor 160 may detect the target position in the game image by adding and applying the time interval Δt to the reference position on the image timeline.

According to various embodiments, the processor 160 may provide a target image based on a target location in the game image. The processor 160 may identify a motion section including the target position in the motion sections, and determine a target image based on the corresponding motion section. In this case, the processor 160 may determine the target image from the start position of the corresponding motion section. According to an embodiment, the processor 160 may individually provide each target image. For example, when the sports game is baseball, the target image may represent an individual turn at bat image, and the starting point of the target image may represent a start position of the first pitching motion of the individual turn at bat in the game image. As another example, when a sports game is soccer, the target image indicates an individual scoring image, and the starting point of the target image may indicate the starting position of the ballistic switching pass motion before the corresponding score in the game image or the shooting motion associated with the corresponding score. According to another embodiment, the processor 160 may combine a plurality of target images to provide a combined target image. For example, when a sports game is soccer, the combined target image represents a score collection image, and the starting point of the individual target image in the combined target image is the ballistic conversion pass motion before the score in the game image or shooting associated with the score It may indicate the start position of the motion.

5 is a diagram illustrating a method of operating the electronic device 100 according to various embodiments of the present disclosure. FIG. 6 is a diagram illustrating the text relay data and game image mapping step 510 of FIG. 5 . 7 is a diagram illustrating a reference point detection step in the text relay data of FIG. 5 and a reference position detection step (step 520) in the game image. 8 and 9 are diagrams for explaining a method of operating the electronic device 100 according to an exemplary embodiment.

Referring to FIG. 5 , in step 510 , the electronic device 100 may map text relay data for a sports game and a game image. The processor 160 may map the text relay data and the game image based on events occurring during the sports game. For example, when the sports game is baseball, each event may represent each pitch. As another example, when the sports game is soccer, each event may represent a respective score. This will be described later in more detail with reference to FIG. 6 .

Referring to FIG. 6 , in step 611 , the electronic device 100 may check occurrence locations of events in a game image, respectively. Here, the occurrence positions only indicate temporal positions in the game image, respectively, and do not indicate actual times. At this time, the processor 160 may recognize the scoreboard of the game image, and check the occurrence positions of the events in the game image, respectively. For example, as shown in FIG. 2 , the processor 160 may identify locations of occurrence of events on a video timeline defined based on a game video.

According to an embodiment, the processor 160 may continuously track the scoreboard 810 in the game image 800 . At this time, the processor 160 may recognize the scoreboard 810 in the game image 800 as shown in FIG. 8 . Here, the processor 160 may detect the area of the scoreboard 810 in the game image 800 using an artificial intelligence module such as YOLOv3, for example. In addition, the processor 160 may recognize the event count 830 in the score board 810 . Here, the event count 830 is a number, and the processor 160 may recognize the event count 830 using, for example, a vision module such as an optical character reader (OCR). Through this, the processor 160 may check the occurrence location of each event in response to a change in the event count 830 . That is, the processor 160 monitors a change in the event count 830 while tracking the score board 810 , thereby confirming the occurrence location of each event. For example, when the sporting event is baseball, each event may represent each pitch, and the event count 830 may represent the cumulative number of pitches in the corresponding sporting event. As another example, when the sporting event is soccer, each event may represent each score, and the event count 830 may represent the total score in the corresponding sporting event.

For example, the processor 160 may identify a predetermined indicator 820 within the scoreboard 810 as shown in FIG. 8 . The indicator 820 may have at least one of a predetermined shape or size. For example, when the sports game is baseball, the indicator 820 may have the shape of a baseball. Here, the processor 160 may, for example, perform template matching to identify the indicator 820 , thereby detecting the position of the indicator 820 within the scoreboard 810 . Thereafter, the processor 160 may recognize an event count 830 based on the indicator 820 in the scoreboard 810 as shown in FIG. 8 . Here, the processor 160 may predict the location of the event count 830 based on the location of the indicator 820 in the scoreboard 810 . To this end, the location of the event count 830 may be predetermined based on the location of the indicator 820 . For example, the position of the event count 830 may be determined as at least one of right, left, upper, and lower positions based on the position of the indicator 820 . The processor 160 may recognize the event count 830 at the predicted location. Accordingly, the processor 160 may monitor the change in the event count 830 while tracking the score board 810 , thereby confirming the occurrence location of each event.

The electronic device 100 may recognize predetermined motions in the game image in step 613 , and check motion sections of motions between occurrence locations, respectively. In this case, the processor 160 may track the actions of at least one object in the game image. For example, the object may include at least one of a person or a thing. Then, the processor 160 may recognize predetermined motions from the actions. The processor 160 may recognize motions using, for example, an artificial intelligence (AI) module such as a tensorflow object detection model and a rule-based algorithm. Here, the motions may represent actions that satisfy at least one condition predetermined in relation to the events, respectively. In addition, the processor 160 may respectively identify motion sections between occurrence locations in response to motions in the game video.

According to an embodiment, the processor 160 may track the actions of the plurality of objects 910 , 920 , and 930 in the game image 900 as shown in FIG. 9 . Here, the processor 160 may track the actions of the objects 910 , 920 , and 930 by comparing the frames of the game image 900 according to the image analysis technique. Through this, the processor 160 may recognize predetermined motions from the actions. For example, when the sports game is baseball, each event may represent each pitch, and the motions may include a pitching motion. Here, the pitching motion is determined by a combination of actions of the pitcher 910 , the batter 920 and the catcher 930 , and the batter 920 is positioned between the pitcher 910 and the catcher 930 , the catcher 930 . ) may be determined as at least one of a condition in which the head position of the batter 920 must be lower than that of the batter 920 , or a condition that the foot position of the pitcher 910 is lower than the foot position of the catcher 930 . As another example, when the sports game is soccer, each event may represent a score, and the motions may include at least one of a ball-to-point conversion pass motion or a shooting motion toward the goal. Accordingly, the processor 160 may respectively check the motion sections between the occurrence positions in response to the motions in the game image.

In operation 615 , the electronic device 100 may check the actual time points of the events in the text relay data, respectively. For example, as shown in FIG. 2 , the processor 160 may check the actual time points of the events on an actual timeline defined based on text relay data.

In operation 617 , the electronic device 100 may map occurrence locations and actual viewpoints, respectively, based on events. The processor 160 may map the occurrence locations and actual time points, respectively, according to the order of the events.

Thereafter, the electronic device 100 may return to FIG. 5 and proceed to step 520 .

Referring again to FIG. 5 , in step 520 , the electronic device 100 may detect a reference viewpoint and a reference position in the text relay data and the game image, respectively. The processor 160 may detect a reference viewpoint from the text relay data. In addition, the processor 160 may detect a reference position in the game image based on the reference point of view. This will be described later in more detail with reference to FIG. 7 .

Referring to FIG. 7 , in step 721 , the electronic device 100 may detect an actual time point of a first event among events in the text relay data as a reference time point.

In operation 723 , the electronic device 100 may calculate time intervals between a reference time point in the text relay data and actual time points of the remaining events among the events, respectively. For example, the processor 160 may detect a reference point on an actual timeline and calculate time intervals as shown in FIG. 2 .

The electronic device 100 may detect a reference position in the game image by applying time intervals to motion sections of the game image, respectively, in step 725 . For example, as shown in FIG. 2 , the processor 160 may detect a reference position converging from the motion sections in the game video by subtracting and applying time intervals to the motion sections on the video timeline, respectively.

Thereafter, the electronic device 100 may return to FIG. 5 and proceed to step 530 .

Referring back to FIG. 5 , in operation 530 , the electronic device 100 may calculate a time interval Δt between a reference time point and a target time point in the text relay data. For example, as shown in FIG. 3 , the processor 160 may determine a target time point on an actual timeline and calculate a time interval Δt between the reference time point and the target time point. Here, the target time may be determined based on the service user's request. For example, the processor 160 may receive a service user's request from the external devices 102 and 104 and determine a target time from the text relay data based thereon.

For example, if the sports game is baseball, the processor 160 provides the first service screen as shown in FIG. 4A to the external devices 102 and 104, and the upper menu on the first service screen by the service user; For example, if 'View all images per turn at bat' is selected, the processor 160 may provide the second service screen as shown in FIG. 4B to the external devices 102 and 104 . Then, when the service user selects a sub-menu, for example, 'turn at bat image' of batter 4 on the second service screen by the service user, the processor 160 sets the target time of the first pitch of batter 4 in the corresponding turn at bat from the text relay data. can be determined as Through this, the processor 160 may calculate the time interval Δt between the reference time point and the target time point on the actual timeline.

The electronic device 100 may detect the target position from the reference position in the game image by using the time interval Δt in step 540 . For example, as shown in FIG. 3 , the processor 160 may detect the target position in the game image by adding and applying the time interval Δt to the reference position on the image timeline.

The electronic device 100 may provide a target image based on the target location in the game image in step 550 . The processor 160 may identify a motion section including the target position in the motion sections, and determine a target image based on the corresponding motion section. In this case, the processor 160 may determine the target image from the start position of the corresponding motion section. According to an embodiment, the processor 160 may individually provide each target image. For example, when the sports game is baseball, the target image may represent an individual turn at bat image, and the starting point of the target image may represent a start position of the first pitching motion of the individual turn at bat in the game image. As another example, when a sports game is soccer, the target image indicates an individual scoring image, and the starting point of the target image may indicate the starting position of the ballistic switching pass motion before the corresponding score in the game image or the shooting motion associated with the corresponding score. According to another embodiment, the processor 160 may combine a plurality of target images to provide a combined target image. For example, when a sports game is soccer, the combined target image represents a score collection image, and the starting point of the individual target image in the combined target image is the ballistic conversion pass motion before the score in the game image or shooting associated with the score It may indicate the start position of the motion.

10 and 11 are diagrams for explaining a method of operating the electronic device 100 according to an exemplary embodiment.

According to an embodiment, when the sports game is baseball, the electronic device 100 may operate to provide an individual turn at bat image as a target image. This will be described later in more detail with reference to FIGS. 10 and 11 together with FIG. 5 . Here, each event may represent each pitch.

First, the processor 160 may map the text relay data and the game image based on the pitches in step 510 . At this time, the processor 160, as shown in FIG. 10, may check the occurrence positions of the pitches in the game image, respectively. Here, the processor 160 may monitor a change in the number of pitches while tracking the scoreboard in the game image, and in response to the change in the number of pitches, check the occurrence location of each pitch in the game image. In addition, the processor 160 analyzes the game image to recognize each of the pitching motions, and as shown in FIG. 10 , may identify motion sections corresponding to the pitching motions in the game image, respectively. In addition, the processor 160 may check the actual time points of the pitches in the text relay data, respectively, as shown in FIG. 10 . Through this, the processor 160 may map the occurrence locations and actual viewpoints, respectively, based on the pitches.

Next, the processor 160 may detect a reference point of view and a reference position in the text relay data and the game image, respectively, in step 520 . As shown in FIG. 10 , the processor 160 may detect the actual time of the first pitch among the pitches from the text relay data as the reference time. In addition, the processor 160 may calculate time intervals between the reference time point and the actual time points of the remaining pitches in the text relay data, respectively. Through this, the processor 160 may detect a reference position converging from the motion sections in the game image by applying subtraction of time intervals to the motion sections, respectively, as shown in FIG. 10 .

Subsequently, the processor 160 may calculate a time interval Δt between the reference time point and the target time point in the text relay data in operation 530 . In this case, the processor 160 may determine a target time point as shown in FIG. 11 , and calculate a time interval Δt between the reference time point and the target time point. For example, if the sports game is baseball, the processor 160 provides the first service screen as shown in FIG. 4A to the external devices 102 and 104, and the upper menu on the first service screen by the service user; For example, if 'View all images per turn at bat' is selected, the processor 160 may provide the second service screen as shown in FIG. 4B to the external devices 102 and 104 . Then, when the service user selects a sub-menu, for example, 'turn at bat image' of batter 4 on the second service screen by the service user, the processor 160 sets the target time of the first pitch of batter 4 in the corresponding turn at bat from the text relay data. can be determined as Through this, the processor 160 may calculate the time interval Δt between the reference time point and the target time point on the actual timeline.

Subsequently, the processor 160 may detect the target position from the reference position in the game video by using the time interval Δt in step 540 . At this time, the processor 160 may detect the target position in the game image by adding and applying the time interval Δt to the reference position as shown in FIG. 11 .

Finally, in operation 550 , the processor 160 may provide a turn at bat image based on the target location in the game image. The processor 160 may identify a motion section including the target position in the motion sections, and determine a turn at bat image based on the corresponding motion section. In this case, the processor 160 may determine the turn at bat image from the start position of the corresponding motion section. Here, the starting point of the target image may indicate the starting position of the first pitching motion of the individual turn at bat in the game image.

According to various embodiments, the electronic device 100 may detect and provide a target image from a game image based on text relay data. At this time, as the text relay data and the game image are used, the electronic device 100 according to various embodiments described in this document can do it without additional infrastructure for acquiring a new image. Accordingly, the electronic device 100 may efficiently provide the target image with low complexity in terms of operation and structure. Also, according to this, the electronic device 100 may provide the target image at a high speed. For example, the electronic device 100 may provide the target image within a few minutes from the end of the sports game.

The method of operating the electronic device 100 according to various embodiments of the present disclosure maps text relay data and a game image based on events occurring during a sports game, and sets a reference viewpoint and a reference position in the text relay data and the game image, respectively. Detecting step (step 510, step 520), using the time interval between the reference point and the target point in the text relay data, detecting the target location from the reference location in the game video (step 530, step 540), and providing a target image based on the target location in the game image (step 550).

According to various embodiments, the method may further include recognizing the scoreboard of the game image, and respectively confirming the occurrence positions of the events in the game image (step 611).

According to various embodiments, the method may further include recognizing predetermined motions in the game video, respectively, confirming motion sections of the motions between the occurrence positions (step 613).

According to various embodiments, each of the detecting the reference time point and the reference position (steps 510 and 520) includes identifying the actual points of time of the events in the text relay data (step 615), the occurrence locations and the actual time points, respectively. mapping each of them (step 617), detecting the actual time of the first event among the events as the reference time (step 721), and in the text relay data, between the reference time and the actual points of the remaining events of the events The method may include detecting a reference position (steps 723 and 725) by applying the time intervals of .

According to various embodiments, the step of providing the target image (step 550) may include determining the target image based on a motion section including the target position.

According to various embodiments, the step (step 611) of each of the occurrence positions is recognizing the scoreboard in the game image, identifying a predetermined indicator in the scoreboard, the position of the indicator in the scoreboard Based on the event count, the step of recognizing the event count, and when the event count is changed, the step of checking the occurrence position of each event may be included.

According to various embodiments, the providing of the target image (operation 550) may include providing the combined target image by combining the target image with at least one other target image.

According to an embodiment, the sports game is baseball, the events include pitching, the target image includes an individual at-bat image, the motions include a pitching motion, and the starting point of the target image is the first of the individual at-bats in the game image. It may indicate the starting position of the pitching motion.

According to another embodiment, a sports game may be soccer, the events may include a score, and the target image may include an individual score image or a score collection image.

The electronic device 100 according to various embodiments may include a memory 150 and a processor 160 connected to the memory 150 and configured to execute at least one instruction stored in the memory 150 . can

According to various embodiments, the processor 160 maps text relay data and a game image based on events occurring during a sports game, and sets a reference viewpoint and a reference position in the text relay data and the game image, respectively. Detect, using the time interval between the reference time and the target time in the text relay data, detect a target position from the reference position in the game image, and target based on the target position in the game image It may be configured to provide an image.

According to various embodiments, the processor 160 may be configured to recognize the scoreboard of the game image, and to respectively identify the locations of occurrence of the events in the game image.

According to various embodiments, the processor 160 may be configured to recognize predetermined motions in the game video, respectively, to identify motion sections of the motions between the occurrence positions.

According to various embodiments, the processor 160 checks the actual times of the events in the text relay data, maps the occurrence locations and the actual times, respectively, and determines the first event of the events. Detecting an actual time point as the reference time point, and applying time intervals between the reference time point in the text relay data and the actual time points of the remaining events among the events to the motion sections between the occurrence positions, respectively, It may be configured to detect the reference position.

According to various embodiments, the processor 160 may be configured to determine the target image based on a motion section including the target position.

According to various embodiments, the processor 160 recognizes the scoreboard in the game image, identifies a predetermined indicator in the scoreboard, and based on the location of the indicator in the scoreboard, It may be configured to recognize an event count and, when the event count is changed, identify an occurrence location of each event.

According to various embodiments, the processor 160 may be configured to combine the target image with at least one other target image to provide a combined target image.

According to an embodiment, the sports game is baseball, the events include pitching, the target image includes an individual at-bat image, the motions include a pitching motion, and the starting point of the target image is the first of the individual at-bats in the game image. It may indicate the starting position of the pitching motion.

According to another embodiment, a sports game may be soccer, the events may include a score, and the target image may include an individual score image or a score collection image.

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, the apparatus and components described in the embodiments may include a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), and a programmable logic unit (PLU). It may be implemented using one or more general purpose or special purpose computers, such as a logic unit, microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be embodied in any tangible machine, component, physical device, computer storage medium or device for interpretation by or providing instructions or data to the processing device. there is. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to various embodiments may be implemented in the form of program instructions that may be executed through various computer means and recorded in a computer-readable medium. In this case, the medium may be to continuously store a program executable by a computer, or to temporarily store it for execution or download. In addition, the medium may be a variety of recording means or storage means in the form of a single or several hardware combined, it is not limited to a medium directly connected to any computer system, and may exist distributed on a network. Examples of the medium include a hard disk, a magnetic medium such as a floppy disk and a magnetic tape, an optical recording medium such as CD-ROM and DVD, a magneto-optical medium such as a floppy disk, and those configured to store program instructions, including ROM, RAM, flash memory, and the like. In addition, examples of other media may include recording media or storage media managed by an app store that distributes applications, sites that supply or distribute other various software, and servers.

The various embodiments of this document and the terms used therein are not intended to limit the technology described in this document to a specific embodiment, but it should be understood to include various modifications, equivalents, and/or substitutions of the embodiments. In connection with the description of the drawings, like reference numerals may be used for like components. The singular expression may include the plural expression unless the context clearly dictates otherwise. In this document, expressions such as “A or B”, “at least one of A and/or B”, “A, B or C” or “at least one of A, B and/or C” refer to all of the items listed together. Possible combinations may be included. Expressions such as “first”, “second”, “first” or “second” can modify the corresponding components regardless of order or importance, and are only used to distinguish one component from another. It does not limit the corresponding components. When an (eg, first) component is referred to as being “connected (functionally or communicatively)” or “connected” to another (eg, second) component, that component is It may be directly connected to the component or may be connected through another component (eg, a third component).

As used herein, the term “module” includes a unit composed of hardware, software, or firmware, and may be used interchangeably with terms such as, for example, logic, logic block, component, or circuit. A module may be an integrally formed part or a minimum unit or a part of performing one or more functions. For example, the module may be configured as an application-specific integrated circuit (ASIC).

According to various embodiments, each component (eg, a module or a program) of the described components may include a singular or a plurality of entities. According to various embodiments, one or more components or steps among the above-described corresponding components may be omitted, or one or more other components or steps may be added. Alternatively or additionally, a plurality of components (eg, a module or a program) may be integrated into one component. In this case, the integrated component may perform one or more functions of each component of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to integration. According to various embodiments, steps performed by a module, program, or other component are executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the steps are executed in a different order, omitted, or , or one or more other steps may be added.

Claims (20)

A method of operating an electronic device, comprising:
mapping the text relay data and the game image based on events occurring during the sports game to detect a reference time point and a reference position in the text relay data and the game image, respectively;
detecting a target position from the reference position in the game video by using a time interval between the reference time and the target time in the text relay data; and
Providing a target image based on the target location in the game image
A method comprising
The method of claim 1,
Recognizing the scoreboard of the game video, each step of confirming the occurrence positions of the events in the game image
A method further comprising:
3. The method of claim 2,
Recognizing predetermined motions in the game video, each step of confirming the motion sections of the motions between the occurrence positions
A method further comprising:
4. The method of claim 3,
Detecting the reference time point and the reference position, respectively,
identifying the actual time points of the events in the text relay data;
mapping the occurrence locations and the actual time points, respectively;
detecting an actual time of a first event among the events as the reference time; and
Detecting the reference position by applying time intervals between the reference time in the text relay data and actual time points of the remaining events among the events to the motion sections between the occurrence positions, respectively
A method comprising
4. The method of claim 3,
Providing the target image comprises:
Determining the target image based on the motion section including the target position
A method comprising
3. The method of claim 2,
The step of confirming each of the occurrence locations is,
recognizing the scoreboard from the game image;
identifying a predetermined metric within the scoreboard;
recognizing an event count based on the location of the indicator within the scoreboard; and
When the event count is changed, checking the location of each event
A method comprising
The method of claim 1,
Providing the target image comprises:
combining the target image with at least one other target image to provide a combined target image
A method comprising
6. The method of claim 5,
The sporting event is baseball,
The events include pitching,
The target image includes an individual turn at bat image,
The motions include a pitching motion,
The starting point of the target image indicates the starting position of the first pitching motion of the individual turn at bat in the game image,
method.
8. The method of claim 7,
The sporting event is soccer,
The events include scoring;
The target image includes an individual score image or a score collection image,
method.
A computer program stored in a non-transitory computer-readable recording medium for executing the method of any one of claims 1 to 9 in the electronic device.
10. A non-transitory computer-readable recording medium in which a program for executing the method of any one of claims 1 to 9 in the electronic device is recorded.
In an electronic device,
Memory; and
a processor coupled to the memory and configured to execute at least one instruction stored in the memory;
The processor is
By mapping the text relay data and the game image based on events occurring during the sports game, the text relay data and the reference position are respectively detected in the text relay data and the game image,
Detecting the target position from the reference position in the game video using the time interval between the reference time and the target time in the text relay data,
configured to provide a target image based on the target location within the game image,
Device.
13. The method of claim 12,
The processor is
Recognizing the scoreboard of the game image, configured to identify the locations of occurrence of the events in the game image, respectively,
Device.
14. The method of claim 13,
The processor is
Recognizing predetermined motions in the game video, configured to respectively identify motion sections of the motions between the occurrence positions,
Device.
15. The method of claim 14,
The processor is
Check each of the actual times of the events in the text relay data,
Each of the occurrence locations and the actual time points are mapped,
Detecting the actual time of the first event among the events as the reference time,
configured to detect the reference position by applying time intervals between the reference point in the text relay data and the actual points in time of the rest of the events to the motion sections between the occurrence locations, respectively,
Device.
15. The method of claim 14,
The processor is
configured to determine the target image based on a motion section including the target position,
Device.
14. The method of claim 13,
The processor is
Recognizing the scoreboard in the game video,
identifying a predetermined indicator within the scoreboard;
recognize an event count based on the location of the indicator within the scoreboard;
configured to ascertain a location of occurrence of each event upon a change in the event count,
Device
13. The method of claim 12,
The processor is
configured to combine the target image with at least one other target image to provide a combined target image;
Device.
17. The method of claim 16,
The sporting event is baseball,
The events include pitching,
The target image includes an individual turn at bat image,
The motions include a pitching motion,
The starting point of the target image indicates the starting position of the first pitching motion of the individual turn at bat in the game image,
Device.
19. The method of claim 18,
The sporting event is soccer,
The events include scoring;
The target image includes an individual score image or a score collection image,
Device.

Images