Patent Publication Number: US-2021168460-A1

Title: Electronic device and subtitle expression method thereof

Description:
TECHNICAL FIELD 
     Embodiments of the disclosure relate to a technology for expressing a subtitle of content. 
     BACKGROUND ART 
     The electronic device may output subtitles on the content when outputting the content. For example, subtitles may be used to translate the content&#39;s dialogue, or to emphasize or describe some of the contents (e.g., dialogue, interjection, and context). The electronic device may receive content and a text code (subtitle) from the broadcasting station server and decode the text code to display subtitles on the content. For example, the electronic device may display the subtitle on the content by decoding the text code of the subtitle file of the content when playing the content. In this case, the electronic device only displayed subtitles corresponding to the received text code. 
     DISCLOSURE 
     Technical Problem 
     A conventional electronic device can edit and output a part of subtitles of content. For example, a conventional electronic device may adjust the color or size of a subtitle or the location of the subtitle according to a user&#39;s setting. Thus, the degree to which a conventional electronic device edits subtitles was fragmentary. 
     Various embodiments disclosed in this document provide an electronic device capable of improving visibility of subtitles of content, and a method for expressing subtitles by the electronic device. 
     Technical Solution 
     According to an embodiment of the disclosure, an electronic device includes a display, a memory that stores content information including content and subtitle information, and a processor operatively connected to the display and the memory, wherein the processor may determine at least one keyword by using the content information, detect a word matching the at least one keyword in the subtitle information, highlight the detected word corresponding to a specified setting, and output subtitle information including the highlighted word onto the content when the content is output to the display. 
     According to another embodiment of the disclosure, a method of expressing a subtitle includes storing content information including content and subtitle information in a memory, determining at least one keyword by using the content information, detecting a word matching the at least one keyword in the subtitle information, highlighting the detected word corresponding to a specified setting, and outputting subtitle information including the highlighted word onto the content when the content is output to a display. 
     Advantageous Effects 
     According to the embodiments of the disclosure, the reality or visibility of a content subtitle may be improved. In addition, various effects that are directly or indirectly understood through the present disclosure may be provided. 
    
    
     
       DESCRIPTION OF DRAWINGS 
         FIG. 1  is a view illustrating a configuration of an electronic system according to an embodiment. 
         FIG. 2  is a block diagram illustrating a configuration diagram of an electronic device (e.g.,  120  of  FIG. 1 ) according to an embodiment. 
         FIG. 3  is a view illustrating a keyword emphasizing method using EPG information according to an embodiment. 
         FIG. 4  is a view illustrating a method of determining a keyword when the key word is a homonym according to an embodiment. 
         FIG. 5  is a view illustrating an example of a method of emphasizing a keyword set by a user according to an embodiment. 
         FIG. 6A  is a view illustrating a motion effect applied to an onomatopoeia/mimetic word according to an embodiment. 
         FIG. 6B  is a view illustrating a second motion effect applied to an onomatopoeia/mimetic word according to an embodiment 
         FIG. 7  is a view illustrating an acoustic subtitle according to an embodiment. 
         FIG. 8A  is a view illustrating a context emphasis effect of adjusting a letter shape according to an embodiment. 
         FIG. 8B  is a view illustrating a context emphasis effect of adjusting letter shading according to an embodiment. 
         FIG. 9  is a view illustrating an example of application of a karaoke effect according to an embodiment. 
         FIG. 10  is a view illustrating a criterion for classifying a genre of content according to an embodiment. 
         FIG. 11  is a view illustrating effects that may be applied to content (e.g., subtitles) for each genre type of content according to an embodiment. 
         FIG. 12  is a view illustrating an example of a real-time subtitle expression method according to an embodiment. 
         FIG. 13  is a view illustrating an example of a subtitle expression method for content of a news genre according to an embodiment. 
         FIG. 14  is a view illustrating an example of a subtitle expression method for content of a documentary genre according to an embodiment. 
         FIG. 15  is a view illustrating an example of a subtitle expression method for content of a quiz show genre according to an embodiment. 
         FIG. 16  is a view illustrating an example of a subtitle expression method for content of a sports genre according to an embodiment. 
         FIG. 17  is a view illustrating an example of a subtitle expression method for content of a movie genre according to an embodiment. 
         FIG. 18  is a view illustrating an example of a subtitle expression method for content of a music show genre according to an embodiment. 
         FIG. 19  is a flowchart illustrating a subtitle display method according to an embodiment. 
         FIG. 20  is a block diagram illustrating an electronic device  2001  for expressing a subtitle in a network environment  2000  according to various embodiments. 
     
    
    
     With regard to description of drawings, similar elements may be marked by similar reference numerals. 
     MODE FOR INVENTION 
       FIG. 1  is a view illustrating a configuration of an electronic system according to an embodiment. 
     Referring to  FIG. 1 , according to an embodiment, an electronic system  10  may include at least one server device  110  and an electronic device  120 . In an embodiment, some components may be omitted, or additional components may be further included. In an embodiment, some of the components are coupled to form an entity, and the entity may perform the functions of the corresponding components before coupling. The input/output relationship illustrated in  FIG. 1  is only an example for convenient description and the embodiment is not limited thereto. 
     According to an embodiment, the at least one server device  110  may store content information including at least one of content, subtitle information, and additional information, and transmit content information. The content may include, for example, real-time broadcast content or VOD broadcast content. As another example, the content may include at least one of audio information and image information. The subtitle information may include, for example, subtitle content information and subtitle setting value information output on the content. For example, the additional information may include at least one of EPG information, a real-time popular search word, a related search word, and keyword information. For example, the at least one server device  110  may include at least one of a content server, a content information server, or a portal server. For example, the content server may be a server for storing at least one piece of content information, such as a content DB server of a broadcasting company. For example, the content server may be a server of a broadcasting company, and may be a server that discloses content-related information (e.g., program introduction information, program notice information, and photographing episode information). For example, the portal server may be a server that provides a search service based on keywords. 
     According to an embodiment, the electronic device  120  may receive content information from the at least one server device  110 . For example, the electronic device  120  may receive at least a piece (e.g., content and subtitle information) of content information from a first server device and another piece (e.g., additional information) of the content information from a second server device. The electronic device  120  may store the received content information in its own memory. 
     According to an embodiment, when outputting content to a display, the electronic device  120  may extract at least one keyword from content information (e.g., additional information), store the at least one keyword its own memory in connection with at least a piece of the content information, detect a word matching the at least one keyword from the subtitle information, highlight the detected word corresponding to a specified setting, and output subtitle information including the highlighted word to the display. 
       FIG. 2  is a block diagram illustrating a configuration diagram of an electronic device (e.g.,  120  of  FIG. 1 ) according to an embodiment. 
     Referring to  FIG. 2 , according to an embodiment, an electronic device  20  may include a communication circuit  210 , an input device  220 , a display  230 , a memory  240 , and a processor  250 . In an embodiment, some components may be omitted, or additional components may be further included. For example, the electronic device  20  may further include a speaker for outputting an audio. In an embodiment, some of the components are coupled to form an entity, and the entity may perform the functions of the corresponding components before coupling. The input/output relationship illustrated in  FIG. 2  is only an example for convenient description and the embodiment is not limited thereto. 
     According to an embodiment, the communication circuit  210  may form a specified communication channel for communicating with the server device  110 . For example, the communication circuit  210  may convert and output content information received through the specified communication channel into a form that can be interpreted by the processor  250 , and may convert information (e.g., a content information request) from the processor  250  into information of a specified communication scheme to transmit the information through a specified communication channel. The specified communication channel may include a first network  2098  (e.g., a short-range communication network such as Bluetooth, WiFi direct, or infrared data association (IrDA)) or a second network  2099  (e.g., a remote communication network such as a cellular network, the Internet, or a computer network (e.g. LAN or WAN)). 
     According to an embodiment, the input device  220  may receive or detect a user input. For example, the input device  220  may include at least one of a touch sensor, a communication circuit, or an input button. The touch sensor may include a touch screen display. The communication circuit of the input device  220  may communicate with a remote control device (e.g., a remote controller or a mouse). For example, the communication circuit may communicate with a remote control device by using various communication schemes such as Bluetooth, NFC, and IR communication. The input button may be a physical button provided in the electronic device  20 . 
     According to an embodiment, the display  230  may output (display) various contents (e.g., text, images, videos, icons, and/or symbols). For example, the display  230  may output image information (content) and subtitle information among content information in response to an instruction of the processor  250 . For example, the display  230  may include a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, or an electronic paper display. 
     According to an embodiment, the memory  240  may store instructions or data related to at least one other component of the electronic device  20 . For example, the memory  240  may store instructions for outputting content and subtitle information to the display  230 . For another example, the memory  240  may store instructions for editing subtitle information based on content information. As still another example, the memory  240  may store content information and motion effect information. For example, the content information may include content (at least one of audio information and image information), subtitle information, and additional information. For example, the subtitle information may include subtitle content information and subtitle setting value information output onto content. For example, the additional information may include at least one of EPG information, a real-time popular search word, a related search word corresponding to the real-time popular search word, or set keyword information. For example, the EPG information includes information about at least one of a program title, start time, end time, remaining time, subject, theme, performer, writer, production studio, award history, keyword, announcement date, director, or program plot. For example, the additional information may further include at least one of at least one keyword, keyword information for each genre, or effect information for each genre. For example, the keyword information for each genre may include keyword information set differently for each genre of content. For example, the effect information for each genre may include information capable of identifying an effect applied for each genre of content. The memory  240  may be a volatile memory (e.g., a RAM, or a non-volatile memory (e.g., a ROM or a flash memory)) or a combination thereof. 
     The processor  250  may execute operations or data processing related to control and/or communication of at least one other component of the electronic device  20  by using instructions stored in the memory  240 . According to an embodiment, the processor  250  may extract at least one keyword by using content information, detect a word matching the at least one keyword from the subtitle information, highlight the detected word corresponding to a specified setting, and output subtitle information including the highlighted word to the display  230  when outputting content to the display  230 . For example, the processor  250  may include at least one of a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, an application processor, an application specific integrated circuit (ASIC), and field programmable gate arrays (FPGAs), and may have a plurality of cores. 
     According to an embodiment, when the processor  250  receives at least some of the content information from the at least one server device  110  through the communication circuit  210 , the processor  250  stores the received content information in the memory  240 . For example, the processor  250  may receive some of content information (e.g., content and subtitle information) from a first server device, and other portions (e.g., additional information) of the content information from a second server. 
     According to an embodiment, the processor  250  may determine at least one keyword by using content information. For example, the at least one keyword may be a word in which at least one set value of a letter form or a display position is set differently from other letters. The at least one keyword may be set differently for each genre of content. 
     According to an embodiment, the processor  250  may determine at least one keyword by using EPG information. For example, the processor  250  may determine information about at least one of a program title, subject, theme, performer, author, keyword, or program plot of the EPG information as at least one keyword. In this regard, the processor  250  may determine some of the EPG information (e.g., a title, subject, keyword, or performer) as at least one keyword without filtering, and selectively determine another part of the EPG information (e.g., a program plot) based on the frequency of appearance, as at least one keyword. For another example, the processor  250  may obtain a similar or related word related to at least one key word determined by using EPG information, and further determine the obtained similar word or related word as at least one keyword. In this regard, the processor  250  may obtain a similar or related word from the at least one server device  110  or the memory  240 . 
     According to one embodiment, the processor  250  communicates with at least one server device (e.g., a content server) which discloses information about description of content to a web page through the communication circuit  210 , and after receiving the information about the description of the content from the at least one server device  110 , determine, for example, a word having a high appearance frequency by using the description information as at least one keyword. 
     According to an embodiment, the processor  250  may request a real-time popular search word of a specified number (e.g., 10) to a portal server device through the communication circuit  210 , and determine the real-time popular search word received from the portal server device in response to the request as at least one key word. For example, when the genre of content is a specified genre (e.g., news), the processor  250  may determine a real-time popular search word as at least one keyword. 
     According to an embodiment, the processor  250  may receive a related search word corresponding to a real-time popular search word from the portal server, and further determine the received related search word as at least one keyword. For example, when the processor  250  detects a word matching the real-time popular search word in the subtitle information, the processor  250  may request the related search word of the detected word to the portal server, and determine the related search word received from the portal server in response to the request as at least one keyword. 
     According to an embodiment, the processor  250  may determine at least one first keyword (e.g., a program title, subject, or theme) by using EPG information, request a related search word of the at least one first keyword to a portal server through the communication circuit  210 , identify the related search word (hereinafter, referred to as ‘at least one second keyword’) of the at least one first keyword received from the portal server (e.g.,  110  of  FIG. 1 ) in response to the request, and determine the at least one first keyword and the at least one second keyword as at least one keyword. 
     According to an embodiment, the processor  250  may analyze the association between a verb of the sentence including a homonym and a sibling word of the corresponding homonym for the homonym of at least one keyword, and determine the corresponding homonym as the meaning of a sibling word having relatively high analyzed association. 
     According to an embodiment, the processor  250  may detect a word matching at least one keyword in subtitle information. For example, the processor  250  may remove ancillary letters including a postposition and an adverb from words included in subtitle information by using a technique such as word2vec, and may detect a word in the words from which the ancillary letters are removed, of which the possibility of being associated with at least one keyword is above a specified threshold (e.g., 70%). 
     According to an embodiment, when a keyword is a homonym and a word matching the keyword is detected in subtitle information, the processor  250  may detect a word matching the keyword by using a verb of the sentence including the detected word. For example, when the key word is a homonym, the processor  250  may determine whether the detected word matches the keyword by analyzing the association between the verb of the sentence including the detected word and a sibling word of the homonym. 
     According to an embodiment, the processor  250  may output the subtitle information including the highlighted word on the content as the detected word is highlighted corresponding to a specified setting. For example, the processor  250  may set at least one setting value of a letter form or a letter position of the detected word to be different from a setting value of a word (hereinafter, referred to as ‘another word’) other than the detected word in the subtitle information, thereby highlighting the detected word. For example, the letter form may include at least one of a font, a display color, a degree of inclination, a font size, or an interval between letters. The letter position may correspond to a position of a layer in which the detected word is to be displayed in the entire area of the content. The at least one setting value may be stored in the memory  240  in connection with subtitle information. 
     According to an embodiment, when the word type to be highlighted is set through the input device  220 , the processor  250  may identify the set word type from the subtitle information and highlight the set word type among the subtitle information. For example, the word type may include at least one of a noun, a number, a positive expression word, a negative expression word, or a main word (e.g., a keyword). For example, when the type of a word to be highlighted is a noun, the processor  250  may highlight all nouns included in the subtitle information corresponding to a specified setting. 
     According to an embodiment, when the detected word corresponds to at least one specified word (e.g., onomatopoeia or utterance (hereinafter, ‘or’ is denoted as ‘/’)), the processor  250  may apply a motion effect, which corresponds to the word detected based on the motion effect information stored in the memory  240 , to the detected word. The motion effect information may be, for example, a setting value of a motion effect to be applied to a layer on which a specified word is to be displayed. For example, the setting value of the motion effect may include at least one of a movement speed of a layer, a movement direction of a layer, a movement pattern of a layer, a tilt angle of a layer, or a change in size of a layer. For example, the setting value of the motion effect may further include a change (e.g., a flicker, a size change, or display speed change) in text included in a fourth layer. For example, when the detected word corresponds to at least one specified word (e.g., onomatopoeia/mimetic word), the processor  250  may output the detected word to a first position (e.g., an upper portion) on content, and output the subtitle information excluding the detected word to a second position (e.g., a lower portion) on the content spaced apart from the first position by a specified interval or more. To this end, the processor  250  may set positions of the first layer in which the detected word is to be output and the second layer in which another word is to be output. As another example, the processor  250  may form the first layer to which the word detected based on subtitle information is output and a second layer to which another word is output, and may apply a motion effect corresponding to the detected word for the first layer. 
     According to an embodiment, when the onomatopoeia/mimetic word is detected from the subtitle information, the processor  250  may output the detected onomatopoeia/mimetic word to a layer different from a layer to which subtitle information other than the onomatopoeia/mimetic word is output. For example, the processor  250  may detect words enclosed in a square bracket (e.g., [ ]) in the subtitle information as an onomatopoeia/mimetic word. The processor  250  may allow the onomatopoeia or mimetic word to be included in the third layer, and output the third layer, for example, to the upper portion of the display  230 . The processor  250  may allow the subtitle information other than the onomatopoeia/mimetic word to be included in the fourth layer, and output (display) the fourth layer, for example, to the lower portion of the display (onomatopoeia/mimetic word). 
     According to an embodiment, the processor  250  may apply a motion effect to an onomatopoeia/mimetic word based on the motion effect information. For example, the processor  250  may output an emoticon corresponding to the corresponding onomatopoeia/mimetic word together with the onomatopoeia/mimetic word to the third layer. Alternatively, the processor  250  may output an emoticon to the third layer in place of the onomatopoeia/mimetic word. As another example, the processor  250  may identify the setting value of the motion effect corresponding to the onomatopoeia/mimetic word based on the motion effect information, and may apply the identified setting value of the motion effect to the third layer. As the processor  250  applies the set value of the motion effect corresponding to the detected onomatopoeia/mimetic word to the third layer, the third layer may move to correspond to the applied set value. 
     According to an embodiment, the processor  250  may analyze the characteristics (hereinafter, referred to as ‘audio characteristics’) of the audio information included in the content, and may apply at least one of a context emphasis effect, a karaoke effect or a sound display subtitle effect to the content based on the analyzed audio characteristics. 
     According to an embodiment, the processor  250  may analyze the audio characteristics from the audio information, and may adjust the setting value of the subtitle information differently corresponding to the analyzed audio characteristics. For example, the audio characteristics may include at least one of a speaker-specific sound intensity, an uttering rate, or a frequency. 
     The processor  250  may change the shape of a layer that outputs subtitle information based on the analyzed audio characteristics when the uttering rate of a speaker is fast and late. For example, the processor  250  may display a layer in a rectangular shape when the uttering rate of a speaker is within a specified rate range including an average uttering rate of the corresponding speaker. As another example, when the uttering rate of a speaker exceeds the upper limit of the specified rate range, the processor  250  may display the layer in a parallelogram shape in which the upper end of the layer is inclined to the right. As still another example, when the uttering rate of a speaker is less than the lower limit of the specified rate range, the processor  250  may display the layer in the parallelogram shape in which the upper end of the layer is inclined to the left. According to various embodiments, the processor  250  may differently set a speed of changing a layer when the uttering rate of a speaker is fast and late. 
     The processor  250  may change the setting value of letters included in subtitle information according to whether the uttering rate of a speaker is fast or late, based on the analyzed audio characteristics. For example, when the uttering rate of a speaker is within a specified speed range (e.g., including the average uttering rate of the corresponding speaker), the processor  250  may display the letters included in the subtitle information in a shape (or at a speed) corresponding to the first setting value. As another example, when the uttering rate of a speaker exceeds the upper limit of a specified rate range, the processor  250  may display the letters included in the subtitle information in a shape (or at a speed) corresponding to the second setting value. As still another example, when the uttering rate of a speaker is less than the lower limit of the specified rate range, the processor  250  may display the letters included in the subtitle information in a shape (or at a speed) corresponding to the third setting value. The first to third setting values may be related to at least one of an interval between letters, a display color, a font, a degree of inclination, and a font size. 
     The processor  250  may analyze the frequency of the audio included in the content, and may change the color of a dialogue for each speaker based on the analyzed audio frequency. For example, the memory  240  may store a display color value for each frequency band. The processor  250  may identify the audio frequency (e.g., an average frequency value) for each speaker based on the analyzed audio frequency, identify the display color value corresponding to the audio frequency for each speaker from the memory  240 , and display the dialogue for each speaker among subtitle information to correspond to the display color value for each speaker. 
     According to an embodiment, when the processor  250  identifies a specified symbol (e.g., ‘ ’) indicating that only music is output without dialogue, based on the subtitle information, the processor  250  may apply an acoustic subtitle display effect to the content. For example, the processor  250  may analyze the audio characteristics of at least one of a tone, a sound intensity (sound pressure), a pitch (frequency), a rhythm, a tempo, a melody, or a sound structure with respect to the audio information, and display an acoustic subtitle including symbols indicating the analyzed audio characteristics on the content. For example, the symbols representing the audio characteristics may be displayed in a form representing a sound intensity for each frequency band. As another example, the processor  250  may separate the voice from the background music based on the analyzed audio characteristics, and display first symbols indicating the audio characteristics of the voice and second symbols indicating the audio characteristics of the background music on the content to be distinguishable from each other. In this case, the first and second symbols may have different colors or shapes. As still another example, the processor  250  may separate the background music for each instrument and display the second symbols for each instrument on the content. For example, the second symbols for each musical instrument may have different colors or shapes. 
     According to one embodiment, the processor  250  may distinguish a word corresponding to the audio information output among the subtitle information by using a speech recognition technology, and display the subtitle information to enable uttered letters to be distinguished from unuttered letters (applying a karaoke effect). For example, the processor  250  may apply a default letter setting value to the letters included in the subtitle information, and may apply a different setting value to the uttered letter based on the speech recognition technology. As another example, the processor  250  may apply, to the subtitle information, a setting value that allows the uttered letter to be displayed blurrily and the unuttered letter to be displayed relatively clearly. In this case, the processor  250  may process an area of the subtitle layer including the uttered letter to be blurrier than other areas of the subtitle layer. As still another example, the processor  250  may apply a setting value for adding shade to the uttered letter among the subtitle information. Alternatively, the processor  250  may apply a setting value for adding shade of a different pattern for each speaker to the uttered characters among the subtitle information. 
     According to an embodiment, the processor  250  may classify the genre of the content based on the content information, and based on the genre of the content, may selectively apply at least one of the keyword emphasis effect, motion effect, context emphasis effect, sound subtitle display effect, or karaoke effect described above. For example, when the genre of the content is a static genre (e.g., action), the processor  250  may apply a relatively small effect to the content and when the genre of the content is a dynamic genre (e.g., drama), the processor may apply a relatively enhanced effect. 
     According to the above-described embodiment, the electronic device  20  may emphasize a specific portion of the subtitle information or represent audio as a symbol based on the content information, thereby providing the improved sensibility and visibility of the content to a user (e.g., a hearing-impaired person) who desires to understand the content by using the subtitle information. 
       FIG. 3  is a view illustrating a keyword emphasizing method using EPG information according to an embodiment. 
     Referring to  FIG. 3 , for example, EPG information of ‘documentary HOME’ may include an image (e.g., a representative image), channel table information by time, and program description (e.g., title, plot) information. 
     In operation  310 , the processor  250  may determine ‘Earth’, ‘archeobateria’, ‘atmosphere’ ‘oxygen’, ‘organism’, and ‘heat’ as at least one keyword by using program description information among EPG information of documentary content related to global warming. For example, the processor  250  may determine a word having a high frequency of appearance in program description information and a similar or related word of the corresponding word as at least one key word. As another example, the processor  250  may determine some (e.g., title, subject, keyword, and performer) of EPG information as at least one key word without filtering, and other parts (e.g., program plot) of the EPG information may be selectively determined as at least one keyword by using the appearance frequency. 
     In operation  320 , the processor  250  may detect words ‘archeobateria’, ‘Earth’, and ‘heat’ that match at least one keyword in the subtitle information, and may highlight the detected words by, for example, shading the detected words. Alternatively, the processor  250  may highlight the detected word by displaying the detected word in a different color from other words. 
       FIG. 4  is a view illustrating a method of determining a keyword when the key word is a homonym according to an embodiment. 
     Referring to  FIG. 4 , according to an embodiment, when the at least one keyword is a homonym, the processor  250  may analyze an association between the verb of the sentence included in the homonym and a sibling word of the homonym, and determine that the corresponding homonym is a meaning corresponding to the sibling word having a relatively high association. For example, when the keyword determined by using the EPG information is word ‘apple’ having both meanings of greeting and fruit, the processor  250  may identify sibling words ‘pear’ and ‘peach’ of ‘apple’ and other sibling words ‘thank’ and ‘greeting’. The processor  250  may identify verb ‘be delicious’ or ‘eat’ of the sentence including word ‘apple’ in the EPG information, thereby identifying that word ‘apple’ means a fruit. Even when detecting a word matching a homonym in subtitle information, the processor  250  may detect the word matching the homonym by using a verb of the sentence including the word that matches the homonym. 
       FIG. 5  is a view illustrating an example of a method of emphasizing a keyword set by a user according to an embodiment. 
     According to an embodiment, when a type of a word to be emphasized through the input device  220  is set, the processor  250  may identify the set word type from subtitle information and detect and highlight the set word type among the subtitle information. For example, the word type may include at least one of a noun, a number, a positive expression word, a negative expression word, or a main word (e.g., a keyword). 
     Referring to  FIG. 5 , the sentence included in subtitle information (the sentence of a subtitle) may be “I can&#39;t believe that the global polar bear population is 20,000-25,000, but it&#39;s true.” 
     As in a subtitle  510 , when the word type to be emphasized is set to ‘noun’, the processor  250  may detect and highlight the nouns ‘polar’, ‘bear’, and ‘population’ in the sentence of the subtitle. 
     As in a subtitle  520 , when the word type to be emphasized is set to ‘number’, the processor  250  may detect and highlight the numbers ‘20, 000-25,000’ in the sentence of the subtitle. 
     As in a subtitle  530 , when the type of the word to be emphasized is set to ‘positive expression word’ and ‘negative expression word’, the processor  250  may detect and highlight ‘can&#39;t believe’ and ‘true’ corresponding to the positive or negative expression word in the sentence of the subtitle. 
     As in a subtitle  540 , when the word type to be emphasized is set to ‘main word (keyword)’, the processor  250  may detect and highlight words ‘polar bear population’ and ‘20, 000-25,000’ that match at least one keyword in the sentence of the subtitle. 
       FIG. 6A  is a view illustrating a motion effect applied to an onomatopoeia/mimetic word according to an embodiment. 
     Referring to  FIG. 6A , according to an embodiment, the memory  240  may include a plurality of onomatopoeia/mimetic words and a plurality of emoticon images corresponding to each of the onomatopoeia/mimetic words in, for example, a first lookup table  610 . 
     When the processor  250  identifies mimetic word ‘Crowd laughing’ from the subtitle information, the processor  250  may display mimetic word ‘Crowd laughing’ together with an emoticon corresponding to ‘laughter’ as in subtitle  621 . 
     When the processor  250  identifies mimetic word ‘Feet stomping’ from the subtitle information, the processor  250  may display mimetic word ‘Feet stomping’ together with an emoticon corresponding to ‘stomping’ as in subtitle  623 . 
     When the processor  250  identifies mimetic word ‘Music playing’ from the subtitle information, the processor  250  may display mimetic word ‘Music playing’ together with an emoticon corresponding to ‘instrumental music playing’ as in subtitle  625 . 
       FIG. 6B  is a view illustrating a second motion effect applied to an onomatopoeia/mimetic word according to an embodiment. 
     Referring to  FIG. 6B , according to an embodiment, the memory  240  may include a plurality of onomatopoeia/mimetic words and a plurality of motion effects corresponding to each of the onomatopoeia/mimetic words in, for example, a second lookup table  630 . In  FIG. 6B , for convenience of description, the second lookup table  630  is illustrated as including a sentence describing each of motion effect information, but each of the motion effect information may include at least one of a letter setting value or a layer setting value (motion applied to a layer) corresponding to each onomatopoeia/mimetic word corresponding to the sentence. 
     When onomatopoeia ‘Boom’ and the repetition of onomatopoeia ‘Boom’ are identified from the subtitle information, the processor  250  may display a first ‘Boom’ in a first layer having a rectangular shape, for example, inclined to the left by a specified angle (e.g., about 30 degrees) as in subtitle  641 , and a second ‘Boom’ in a second layer having a rectangular shape, for example, inclined to the right by a specified angle (e.g., about 45 degrees). 
     When onomatopoeia ‘Shake’ is identified, as in subtitle  643 , for example, the processor  250  may shake a layer including ‘shake’, for example, from side to side. 
       FIG. 7  is a view illustrating an acoustic subtitle according to an embodiment. 
     According to an embodiment, when the processor  250  identifies a specified symbol (e.g., J′) that means a state where music is output, based on subtitle information, the processor  250  may analyze audio characteristics of at least one of a tone, a sound intensity (sound pressure), a pitch (frequency), a rhythm, a tempo, a melody, or a sound structure with respect to the audio information, and display a sound display subtitle  710  on the content. For example, the sound display subtitle  710  may be a subtitle for displaying a symbol representing the audio characteristics of music. 
     Referring to  FIG. 7 , the processor  250  may display audio characteristics corresponding to music as a sound display subtitle including a graph of sound intensity for each frequency. For example, the graph of sound intensity for each frequency may be a graph including a horizontal axis indicating a frequency value and a vertical axis indicating a sound intensity. The sound display subtitle may display a sound intensity for each frequency as a plurality of symbols. The processor  250  may separate a voice from background music based on the audio characteristics of content, display the audio characteristics of the voice as first symbols (voice) of a first size, and display the audio characteristics of background music as second symbols (background music) of a second size. 
     The processor  250  may display background music separately for each instrument. For example, the processor  250  may display the edge thickness or pattern of the second symbols differently depending on the instrument. 
       FIG. 8A  is a view illustrating a context emphasis effect of adjusting a letter shape according to an embodiment. 
     Referring to  FIG. 8A , the processor  250  may apply different setting values to subtitle information of a first situation in which the uttering rate of a speaker exceeds the upper limit of a specified rate range, a second situation in which the uttering rate of the speaker is within the specified rate range, and a third situation in which the uttering rate of the speaker is below the lower limit of the specified rate range. 
     As in subtitle  810 , the processor  250  may set the layer in which the subtitle information is to be displayed in a parallelogram shape in which the upper end of the layer is inclined to the right in the first situation in which the uttering rate of the speaker exceeds the upper limit of the specified rate range, may set the interval between the letters included in the subtitle information to a first interval, and may apply a first setting value for setting the letters in italics to the subtitle information. 
     As in subtitle  820 , the processor  250  may set the layer in which the subtitle information is to be displayed in a parallelogram shape in which the upper end of the layer is inclined to the left when the uttering rate of the speaker is below the lower limit of the specified rate range, may set the interval between the letters included in the subtitle information to a second interval (&gt;the first interval), and may apply a second setting value for setting the letters to a first font (a default font) to the subtitle information. 
     As the subtitle  830 , the processor  250  may set the layer in which the subtitle information is to be displayed in a rectangular shape when the uttering rate of the speaker is within the specified rate range, may set the interval between the letters to a third interval (the first interval&lt;the third interval&lt;the second interval), and may apply a third setting value for setting the letters included in the subtitle information to the default font to the subtitle information. In subtitle  830 , the processor  250  may identify the sound intensity and apply a fourth setting value for setting the letter size of a letter (RUN AWAY) of which the sound intensity exceeds an average sound intensity (e.g., an average sound intensity for each speaker) to exceed a default size. 
       FIG. 8B  is a view illustrating a context emphasis effect of adjusting letter shading according to an embodiment. 
     According to an embodiment, the memory  240  may include a display color value for each frequency band. The processor  250  may use a frequency characteristic of audio information included in content to identify a frequency band (e.g., a band to which an average frequency of each speaker belongs) of each speaker, identify a display color value (e.g., a color or a shading pattern) for each speaker corresponding to the determined frequency band for each speaker, and apply the display color value for each speaker for a dialogue subtitle of each speaker. According to the above-described embodiment, the processor  250  may support the user to easily distinguish a dialogue for each speaker by using the subtitle information. 
     Referring to  FIG. 8B , the processor  250  shades the dialogue of a first speaker having the first frequency characteristic (high end) with a shadow pattern corresponding to the first frequency characteristic, and the dialogue of a second speaker having the second frequency characteristic (base) with a shadow pattern corresponding to the second frequency characteristic. 
       FIG. 9  is a view illustrating an example of application of a karaoke effect according to an embodiment. 
     According to an embodiment, the processor  250  may distinguish an uttered letter and a non-uttered letter from subtitle information by using a speech recognition technology, and may display a karaoke effect by which the uttered letter and non-uttered letter of the subtitle information can be distinguished from each other. 
     As in subtitle  910 , the processor  250  may apply a setting value for adding a specified shading pattern to uttered letters ‘Somewhere’ in the subtitle information. 
     As in subtitle  920 , the processor  250  may apply a setting value that blurs an uttered letter to uttered letters ‘AND YOU KNOW’ in the subtitle information. 
     As in subtitle  930 , the processor  250  may apply a setting value for adding different shading patterns to uttered letters for each speaker in the subtitle information when two speakers speak at the same time, for example, when two singers sing at the same time. 
       FIG. 10  is a view illustrating a criterion for classifying a genre of content according to an embodiment. 
     Referring to  FIG. 10 , the genre of content may be classified into, for example, first to fourth types based on whether there is a spectator and whether to pursue facts or fun. For example, the first type, which is a genre for pursuing facts without any spectators, may include a news genre, a documentary genre, a current affair reporting genre, a living information genre, or an education/art genre. The second type, which is a spectator genre, may include a discussion genre, a quiz and game genre, a variety show genre, and a comedy genre. The third type, which is a genre for pursuing fun, may include a sports genre, a drama genre, a movie genre, and a children genre. The fourth type, which is a genre for pursuing more fun than the third type, may include a music show genre and an advertising genre. 
     According to an embodiment, the processor  250  may increase the number of applied effects to the subtitle information and a change in setting value (interaction level) in the order of the first type of genre, the second type of genre, the third type of genre, and the fourth type of genre. 
       FIG. 11  is a view illustrating effects that may be applied to content (e.g., subtitles) for each genre type of content according to an embodiment. 
     Referring to  FIG. 11 , the processor  250  may apply only the keyword emphasis effect to content belonging to the first type of genre. The processor  250  may apply the keyword emphasis effect, the motion effect, and the context emphasis effect to content belonging to the second type of genre. The processor  250  may apply the keyword emphasis effect, the motion effect, the context emphasis effect, and the audio subtitle display effect to content belonging to the third type of genre. The processor  250  may apply the keyword emphasis effect, the motion effect, the context emphasis effect, the audio subtitle display effect, and the karaoke effect to content belonging to the fourth type of genre. According to various embodiments, the processor  250  may further apply the karaoke effect to the subtitles of content belonging to the first type of genre. 
     According to the above-described embodiments, the processor  250  may support the user to further enhance the reality and visibility of content by providing different subtitle information of the content corresponding to the characteristics (e.g., genre) of the content. 
       FIG. 12  is a view illustrating an example of a real-time subtitle expression (or editing) method according to an embodiment. 
     Referring to  FIG. 12 , in operation  1210 , the processor  250  may identify that a genre of content is a talk show based on content information (e.g., EPG information). When the content is a quiz show genre (type  2 ), the processor  250  may identify that the keyword emphasis effect, the motion effect, and the context emphasis effect are to be applied to the subtitle information, based on the effect information for each genre. 
     In operation  1220 , when the subtitle information of the content is obtained, the processor  250  may determine whether the subtitle information includes at least one of a keyword or a specified word (e.g., an onomatopoeia/mimetic word). 
     In operation  1230 , the processor  250  may analyze audio characteristics (e.g., sound intensity), and identify that letters ‘DEFINITELY YES!’ of which the sound intensity is equal to or greater than a specified intensity (e.g., an average uttering volume of a plurality of speakers) included in the subtitle information. The processor  250  may apply a setting value that increases the font size of letters ‘DEFINITELY YES!’ of which the sound intensity corresponding to a letter is equal to or greater than the specified tone intensity. 
     In operation  1240 , the processor  250  may detect onomatopoeia word ‘laughter’ in the subtitle information and apply the setting value of the motion effect corresponding to word ‘laughter’ to word ‘laughter’ based on the motion effect information. For example, the processor  250  may apply a setting value for tilting the layer of the onomatopoeia word “laughter” by a specified angle. 
     In operation  1250 , the processor  250  may display the layer, to which the setting value of the motion effect corresponding to the onomatopoeia word ‘laughter’ is applied, in a first specified area on the content (e.g., an upper portion of the content), and display the second layer, in which the subtitle information other than an onomatopoeia/mimetic word onomatopoeia is to be displayed, in a second specified area (e.g., a lower portion of the content) on the content. In operation  1250 , letters ‘DEFINITELY YES!’ among the loudly uttered letters included in the second layer may be displayed relatively large. 
       FIG. 13  is a view illustrating an example of a subtitle expression method for content of a news genre according to an embodiment. 
     Referring to  FIG. 13 , when the genre of content is a news genre, the processor  250  may apply only a keyword emphasis effect to subtitle information. 
     In operation  1310 , the processor  250  may request top four of real-time popular search words to at least one server device ( 110  in  FIG. 1 ) (e.g., a portal server or a content server), receive the top four of the real-time popular search words, and determine all the top four real-time popular search words as keywords. The processor  250  may receive related search word ‘hurricane irma’ of keyword ‘hurricane’ determined by using a web page (e.g., * headline of news) or EPG information related to the content, and determine related search word ‘hurricane irma’ as a keyword. 
     In operation  1320 , the processor  250  may detect and highlight word ‘Florida’ matching the real-time popular search words and words matching the related search word ‘hurricane irma’ in the subtitle information. 
       FIG. 14  is a view illustrating an example of a subtitle expression method for content of a documentary genre according to an embodiment. 
     Referring to  FIG. 14 , when the genre of content is a documentary, the processor  250  may apply only a keyword emphasis effect to subtitle information based on the stored effect information for each genre. 
     In operation  1410 , the processor  250  may determine at least one keyword by using EPG information of the documentary content. The processor  250  may identify keyword information received from a server device (e.g.,  110  of  FIG. 1 ) related to the content, and determine a keyword included in the identified keyword information as at least one keyword. For example, the determined keyword may include ‘Cosmos’, ‘Space’, ‘Cosmic Calendar’, ‘Universe’, and ‘big bang’. 
     In operation  1420 , the processor  250  may highlight words ‘Cosmic’, ‘calendar’, ‘January 1 st ’, and ‘universe’, which match the keyword in the subtitle information. The processor  250  may further highlight the related word (the date displayed on a calendar) ‘January 1 st ’ related to the keyword. 
       FIG. 15  is a view illustrating an example of a subtitle expression method for content of a quiz show genre according to an embodiment. 
     Referring to  FIG. 15 , according to an embodiment, when the content is a quiz show genre (type  2 ), the processor  250  may apply a keyword emphasis effect, a motion effects and a contextual emphasis effect to subtitle information based on effect information for each genre stored in the memory  240 . The processor  250  may determine the performer&#39;s name as a keyword by using EPG information, and determine word ‘correct (answer)’ corresponding to the content of the talk show genre as a keyword based on the keyword information for each genre stored in the memory  240 . 
     The processor  250  may detect onomatopoeia word ‘Beep’ and keywords ‘Paige’ (performer) and ‘C’ (correct answer) in the subtitle information, and analyze audio characteristics to identify that letter ‘C’ is uttered above a specified sound intensity (which is uttered while being highlighted by a user). 
     The processor  250  may apply a setting value of a motion effect (e.g., layer tilt) corresponding to onomatopoeia word ‘Beep’ to the first layer on which the onomatopoeia word ‘Beep’ is to be displayed, display the first layer  1510  in a first specified area (e.g., upper portion) of the content, apply a setting value for increasing thicknesses of keywords ‘Paige’ and ‘C’ in a subtitle layer  1520  on which a dialogue is to be displayed, and display them in a second specified area (e.g., lower portion). The processor  250  may emphasize ‘C’ uttered above a specified intensity by relatively increasing the size of the uttered ‘C’ above the specified intensity among the letters included in the layer  1520  in which the dialogue is to be displayed. 
     According to the above-described embodiments, the processor  250  may apply the motion effect to the onomatopoeia/mimetic word, display the keyword boldly, and display the uttered letter emphasized by a user larger, so that the reality or visibility of content, through which the user understands the content, may be improved. 
       FIG. 16  is a view illustrating an example of a subtitle expression method for content of a sports genre according to an embodiment. 
     Referring to  FIG. 16 , according to an embodiment, when the content is a quiz show genre (type  3 ), based on the stored effect information for each genre, the processor  250  may apply a keyword emphasis effect, a motion effect, a context emphasis effect, and a sound subtitle display effect to subtitle information. The processor  250  may use EPG information to determine the performer&#39;s name (player name) as at least one keyword, and identify at least one keyword of ‘shoot’ and ‘goal’ specified for the sports genre based on the keyword information for each genre stored in the memory  240 . 
     The processor  250  may detect onomatopoeia word ‘WHAAAAA!!!’ and words ‘goal’ and ‘Ronaldo’ (player name) matching the at least one keyword in the subtitle information. The processor  250  may analyze the audio characteristics and identify that ‘goal’ is uttered at a specified sound intensity or above. 
     The processor  250  may apply a setting value of a motion effect (e.g., gradually increasing in size) corresponding to ‘WHAAAAA” to onomatopoeia word ‘WHAAAAA’, display a first layer  1610  in which onomatopoeia word ‘WHAAAAA’ is to be display in a first specified area (e.g., an upper portion) of the content, increase the thickness of keywords ‘Ronaldo’ and ‘goal’ of the second layer in which a dialogue is to be displayed, and display the keywords ‘Ronaldo’ and ‘goal’ in a second specified area (e.g., lower left). The processor  250  may increase the size of word ‘goal’ uttered at a specified sound intensity or above among letters to be displayed in a second layer  1620 , thereby highlighting ( 1620 ) word ‘goal’ uttered at a specified sound intensity or above. 
     The processor  250  may analyze the audio characteristics of shouts or cheers of audiences, generate a sound display subtitle  1630  corresponding to the audio characteristics, and display the sound display subtitle  1630  in a third specified area (e.g., lower right). 
     According to the above-described embodiments, the processor  250  may apply a motion effect to an onomatopoeia/mimetic word, display the key words boldly, display the letters uttered and emphasized by a user larger, and express the shout of an audience in subtitles, so that the reality or visibility of content, through which a user specifically understands the content through the subtitle, may be improved. 
       FIG. 17  is a view illustrating an example of a subtitle expression method for content of a movie genre according to an embodiment. 
     Referring to  FIG. 17 , according to an embodiment, when the content is a movie genre (type  3 ), based on the effect information for each genre stored in the memory  240 , the processor  250  may apply a keyword emphasis effect, a motion effect, a context emphasis effect, and a sound subtitle display effect to subtitle information. The processor  250  may identify a context emphasis effect specified for a movie genre, for example, an effect of displaying a dialogue to distinguish between a woman and a man. 
     The processor  250  may detect onomatopoeia word ‘Boom’ in the subtitle information, and analyze audio characteristics to distinguish words ‘SMALL TALK’, ‘NICE’, and the dialogue of a woman and a man uttered at a specified sound intensity or above. 
     The processor  250  may apply a setting value of a motion effect (e.g., tilting of a layer) corresponding to ‘Boom’ to a first layer  1710  in which onomatopoeia word ‘Boom’ is to be displayed, display ‘Boom’ on an upper portion of the content, and highlight ‘SMALL TALK’ and ‘NICE’ uttered at a specified sound intensity or above by increasing the letter size of ‘SMALL TALK’ and ‘NICE’ uttered at the specified sound intensity or above in a second layer  1720  in which the dialogue is to be displayed. The processor  250  may apply a setting value for applying different shades to the dialogues of a woman and a man to be displayed in the second layer  1720 . 
     When the processor  250  identifies a situation in which music is being reproduced based on the subtitle information, the processor  250  may analyze the audio characteristics of the music, generate a sound display subtitle  1730  corresponding to the audio characteristics, and display the sound display subtitle  1730  in a third specified area (e.g., lower right). 
     According to the above-described embodiments, the processor  250  may apply the motion effect to the onomatopoeia/mimetic word, display the keyword boldly, display the uttered letter emphasized by a user larger, and express music sound as a subtitle, so that the reality or visibility of content, through which the user specifically understands the content through the subtitle, may be improved. 
       FIG. 18  is a view illustrating an example of a subtitle expression method for content of a music show genre according to an embodiment. 
     Referring to  FIG. 18 , according to an embodiment, when the content is a music show genre (type  4 ), the processor  250  may apply a keyword emphasis effect, a motion effect, a context emphasis effect, a sound subtitle display effect, a karaoke effect to subtitle information based on the stored effect information for each genre. The processor  250  may identify a context emphasis effect, for example, an effect of displaying lyrics to distinguish a female singer from a male singer in the case of a duet song, which is specified for a music show genre. 
     When the lyrics subtitle is identified based on the subtitle information, the processor  250  may analyze audio characteristics to identify the lyrics uttered by a singer, and may apply different setting values to the uttered lyrics and non-uttered lyrics. Accordingly, the processor  250  may display a lyrics subtitle  1810  capable of distinguishing the uttered lyrics from the non-uttered lyrics in a lower left area of the content. For example, the processor  250  may apply a setting value such that uttered lyrics ‘AND YOU KNOW’ are displayed in a relatively light color, and non-uttered lyrics ‘THAT’ are displayed in a relatively dark color. As another example, the processor  250  may give a fade-out effect, for example, that the lyrics disappear as the uttered time passes. 
     The processor  250  may analyze the audio characteristics to identify the sound intensity for each frequency, generate a sound display subtitle  1820  indicating the sound intensity for each frequency, and display the sound display subtitle  1820  at a lower right side of the content. 
     According to the above-described embodiments, the processor  250  may support the singer to identify the lyrics of the song the singer is singing while the singer is singing, and express music as in subtitle based on the analysis of audio characteristics, so that the reality or visibility of content, through which a user specifically understands the content, may be improved. 
       FIG. 19  is a flowchart illustrating a subtitle display method according to an embodiment. 
     Referring to  FIG. 19 , in operation  1910 , the processor  250  may store content information in the memory  240 . For example, the processor  250  may receive content information from the at least one server device  110  and may receive content information from an external memory. When all the content information necessary for editing subtitle information is already stored in the memory  240 , operation  1910  may be omitted. 
     In operation  1920 , the processor  250  may determine at least one keyword by using the content information (e.g., additional information). For example, the processor  250  may obtain information required to detect a keyword, for example, additional information including at least one of real-time popular search word, a related search word, a similar word, or a keyword for each genre, from the at least one server device  110 . 
     In operation  1930 , the processor  250  may detect a word matching the at least one keyword in the subtitle information. For example, the processor  250  may detect a word matching the at least one key word in the subtitle information. 
     In operation  1940 , the processor  250  may highlight the detected word corresponding to a specified setting. For example, the processor  250  may apply a default setting value to the detected word, and highlight the detected word by applying other setting values for emphasis to other words. 
     In operation  1950 , when the content is output to the display  230 , the processor  250  may output subtitle information including the highlighted word onto the content. 
       FIG. 20  is a block diagram illustrating an electronic device  2001  in a network environment  2000  according to various embodiments. Referring to  FIG. 20 , the electronic device  2001  in the network environment  2000  may communicate with an electronic device  2002  via a first network  2098  (e.g., a short-range wireless communication network), or an electronic device  2004  or a server  2008  via a second network  2099  (e.g., a long-range wireless communication network). According to an embodiment, the electronic device  2001  may communicate with the electronic device  2004  via the server  2008 . According to an embodiment, the electronic device  2001  may include a processor  2020 , memory  2030 , an input device  2050 , a sound output device  2055 , a display device  2060 , an audio module  2070 , a sensor module  2076 , an interface  2077 , a haptic module  2079 , a camera module  2080 , a power management module  2088 , a battery  2089 , a communication module  2090 , a subscriber identification module (SIM)  2096 , or an antenna module  2097 . In some embodiments, at least one (e.g., the display device  2060  or the camera module  2080 ) of the components may be omitted from the electronic device  2001 , or one or more other components may be added in the electronic device  2001 . In some embodiments, some of the components may be implemented as single integrated circuitry. For example, the sensor module  2076  (e.g., a fingerprint sensor, an iris sensor, or an illuminance sensor) may be implemented as embedded in the display device  2060  (e.g., a display). 
     The processor  2020  may execute, for example, software (e.g., a program  2040 ) to control at least one other component (e.g., a hardware or software component) of the electronic device  2001  coupled with the processor  2020 , and may perform various data processing or computation. According to one embodiment, as at least part of the data processing or computation, the processor  2020  may load a command or data received from another component (e.g., the sensor module  2076  or the communication module  2090 ) in volatile memory  2032 , process the command or the data stored in the volatile memory  2032 , and store resulting data in non-volatile memory  2034 . According to an embodiment, the processor  2020  may include a main processor  2021  (e.g., a central processing unit (CPU) or an application processor (AP)), and an auxiliary processor  2023  (e.g., a graphics processing unit (GPU), an image signal processor (ISP), a sensor hub processor, or a communication processor (CP)) that is operable independently from, or in conjunction with, the main processor  2021 . Additionally or alternatively, the auxiliary processor  2023  may be adapted to consume less power than the main processor  2021 , or to be specific to a specified function. The auxiliary processor  2023  may be implemented as separate from, or as part of the main processor  2021 . 
     The auxiliary processor  2023  may control at least some of functions or states related to at least one component (e.g., the display device  2060 , the sensor module  2076 , or the communication module  2090 ) among the components of the electronic device  2001 , instead of the main processor  2021  while the main processor  2021  is in an inactive (e.g., sleep) state, or together with the main processor  2021  while the main processor  2021  is in an active state (e.g., executing an application). According to an embodiment, the auxiliary processor  2023  (e.g., an image signal processor or a communication processor) may be implemented as part of another component (e.g., the camera module  2080  or the communication module  2090 ) functionally related to the auxiliary processor  2023 . 
     The memory  2030  may store various data used by at least one component (e.g., the processor  2020  or the sensor module  2076 ) of the electronic device  2001 . The various data may include, for example, software (e.g., the program  2040 ) and input data or output data for a command related thereto. The memory  2030  may include the volatile memory  2032  or the non-volatile memory  2034 . 
     The program  2040  may be stored in the memory  2030  as software, and may include, for example, an operating system (OS)  2042 , middleware  2044 , or an application  2046 . 
     The input device  2050  may receive a command or data to be used by other component (e.g., the processor  2020 ) of the electronic device  2001 , from the outside (e.g., a user) of the electronic device  2001 . The input device  2050  may include, for example, a microphone, a mouse, or a keyboard. 
     The sound output device  2055  may output sound signals to the outside of the electronic device  2001 . The sound output device  2055  may include, for example, a speaker or a receiver. The speaker may be used for general purposes, such as playing multimedia or playing record, and the receiver may be used for an incoming calls. According to an embodiment, the receiver may be implemented as separate from, or as part of the speaker. 
     The display device  2060  may visually provide information to the outside (e.g., a user) of the electronic device  2001 . The display device  2060  may include, for example, a display, a hologram device, or a projector and control circuitry to control a corresponding one of the display, hologram device, and projector. According to an embodiment, the display device  2060  may include touch circuitry adapted to detect a touch, or sensor circuitry (e.g., a pressure sensor) adapted to measure the intensity of force incurred by the touch. 
     The audio module  2070  may convert a sound into an electrical signal and vice versa. According to an embodiment, the audio module  2070  may obtain the sound via the input device  2050 , or output the sound via the sound output device  2055  or a headphone of an external electronic device (e.g., an electronic device  2002 ) directly (e.g., wiredly) or wirelessly coupled with the electronic device  2001 . 
     The sensor module  2076  may detect an operational state (e.g., power or temperature) of the electronic device  2001  or an environmental state (e.g., a state of a user) external to the electronic device  2001 , and then generate an electrical signal or data value corresponding to the detected state. According to an embodiment, the sensor module  2076  may include, for example, a gesture sensor, a gyro sensor, an atmospheric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared (IR) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor. 
     The interface  2077  may support one or more specified protocols to be used for the electronic device  2001  to be coupled with the external electronic device (e.g., the electronic device  2002 ) directly (e.g., wiredly) or wirelessly. According to an embodiment, the interface  2077  may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, a secure digital (SD) card interface, or an audio interface. 
     A connecting terminal  2078  may include a connector via which the electronic device  2001  may be physically connected with the external electronic device (e.g., the electronic device  2002 ). According to an embodiment, the connecting terminal  2078  may include, for example, a HDMI connector, a USB connector, a SD card connector, or an audio connector (e.g., a headphone connector), 
     The haptic module  2079  may convert an electrical signal into a mechanical stimulus (e.g., a vibration or a movement) or electrical stimulus which may be recognized by a user via his tactile sensation or kinesthetic sensation. According to an embodiment, the haptic module  2079  may include, for example, a motor, a piezoelectric element, or an electric stimulator. 
     The camera module  2080  may capture a still image or moving images. According to an embodiment, the camera module  2080  may include one or more lenses, image sensors, image signal processors, or flashes. 
     The power management module  2088  may manage power supplied to the electronic device  2001 . According to one embodiment, the power management module  2088  may be implemented as at least part of, for example, a power management integrated circuit (PMIC). 
     The battery  2089  may supply power to at least one component of the electronic device  2001 . According to an embodiment, the battery  2089  may include, for example, a primary cell which is not rechargeable, a secondary cell which is rechargeable, or a fuel cell. 
     The communication module  2090  may support establishing a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device  2001  and the external electronic device (e.g., the electronic device  2002 , the electronic device  2004 , or the server  2008 ) and performing communication via the established communication channel. The communication module  2090  may include one or more communication processors that are operable independently from the processor  2020  (e.g., the application processor (AP)) and supports a direct (e.g., wired) communication or a wireless communication. According to an embodiment, the communication module  2090  may include a wireless communication module  2092  (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module  2094  (e.g., a local area network (LAN) communication module or a power line communication (PLC) module). A corresponding one of these communication modules may communicate with the external electronic device via the first network  2098  (e.g., a short-range communication network, such as Bluetooth™, wireless-fidelity (Wi-Fi) direct, or infrared data association (IrDA)) or the second network  2099  (e.g., a long-range communication network, such as a cellular network, the Internet, or a computer network (e.g., LAN or wide area network (WAN)). These various types of communication modules may be implemented as a single component (e.g., a single chip), or may be implemented as multi components (e.g., multi chips) separate from each other. The wireless communication module  2092  may identify and authenticate the electronic device  2001  in a communication network, such as the first network  2098  or the second network  2099 , using subscriber information (e.g., international mobile subscriber identity (IMSI)) stored in the subscriber identification module  2096 . 
     The antenna module  2097  may transmit or receive a signal or power to or from the outside (e.g., the external electronic device) of the electronic device  2001 . According to an embodiment, the antenna module  2097  may include one or more antennas, and, therefrom, at least one antenna appropriate for a communication scheme used in the communication network, such as the first network  2098  or the second network  2099 , may be selected, for example, by the communication module  2090  (e.g., the wireless communication module  2092 ). The signal or the power may then be transmitted or received between the communication module  2090  and the external electronic device via the selected at least one antenna. 
     At least some of the above-described components may be coupled mutually and communicate signals (e.g., commands or data) therebetween via an inter-peripheral communication scheme (e.g., a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)). 
     According to an embodiment, commands or data may be transmitted or received between the electronic device  2001  and the external electronic device  2004  via the server  2008  coupled with the second network  2099 . Each of the electronic devices  2002  and  2004  may be a device of a same type as, or a different type, from the electronic device  2001 . According to an embodiment, all or some of operations to be executed at the electronic device  2001  may be executed at one or more of the external electronic devices  2002 ,  2004 , or  2008 . For example, if the electronic device  2001  should perform a function or a service automatically, or in response to a request from a user or another device, the electronic device  2001 , instead of, or in addition to, executing the function or the service, may request the one or more external electronic devices to perform at least part of the function or the service. The one or more external electronic devices receiving the request may perform the at least part of the function or the service requested, or an additional function or an additional service related to the request, and transfer an outcome of the performing to the electronic device  2001 . The electronic device  2001  may provide the outcome, with or without further processing of the outcome, as at least part of a reply to the request. To that end, a cloud computing, distributed computing, or client-server computing technology may be used, for example. 
     The electronic device according to various embodiments may be one of various types of electronic devices. The electronic devices may include, for example, a portable communication device (e.g., a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance. According to an embodiment of the disclosure, the electronic devices are not limited to those described above. 
     It should be appreciated that various embodiments of the present disclosure and the terms used therein are not intended to limit the technological features set forth herein to particular embodiments and include various changes, equivalents, or replacements for a corresponding embodiment. With regard to the description of the drawings, similar reference numerals may be used to refer to similar or related elements. It is to be understood that a singular form of a noun corresponding to an item may include one or more of the things, unless the relevant context clearly indicates otherwise. As used herein, each of such phrases as “A or B,” “at least one of A and B,” “at least one of A or B,” “A, B, or C,” “at least one of A, B, and C,” and “at least one of A, B, or C,” may include all possible combinations of the items enumerated together in a corresponding one of the phrases. As used herein, such terms as “1st” and “2nd,” or “first” and “second” may be used to simply distinguish a corresponding component from another, and does not limit the components in other aspect (e.g., importance or order). It is to be understood that if an element (e.g., a first element) is referred to, with or without the term “operatively” or “communicatively”, as “coupled with,” “coupled to,” “connected with,” or “connected to” another element (e.g., a second element), it means that the element may be coupled with the other element directly (e.g., wiredly), wirelessly, or via a third element. 
     As used herein, the term “module” may include a unit implemented in hardware, software, or firmware, and may interchangeably be used with other terms, for example, “logic,” “logic block,” “part,” or “circuitry”. A module may be a single integral component, or a minimum unit or part thereof, adapted to perform one or more functions. For example, according to an embodiment, the module may be implemented in a form of an application-specific integrated circuit (ASIC). 
     Various embodiments as set forth herein may be implemented as software (e.g., the program  2040 ) including one or more instructions that are stored in a storage medium (e.g., internal memory  2036  or external memory  2038 ) that is readable by a machine (e.g., the electronic device  2001 ). For example, a processor (e.g., the processor  2020 ) of the machine (e.g., the electronic device  2001 ) may invoke at least one of the one or more instructions stored in the storage medium, and execute it, with or without using one or more other components under the control of the processor. This allows the machine to be operated to perform at least one function according to the at least one instruction invoked. The one or more instructions may include a code generated by a complier or a code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Wherein, the term “non-transitory” simply means that the storage medium is a tangible device, and does not include a signal (e.g., an electromagnetic wave), but this term does not differentiate between where data is semi-permanently stored in the storage medium and where the data is temporarily stored in the storage medium. 
     According to an embodiment, a method according to various embodiments of the disclosure may be included and provided in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read only memory (CD-ROM)), or be distributed (e.g., downloaded or uploaded) online via an application store (e.g., Play Store™), or between two user devices (e.g., smart phones) directly. If distributed online, at least part of the computer program product may be temporarily generated or at least temporarily stored in the machine-readable storage medium, such as memory of the manufacturer&#39;s server, a server of the application store, or a relay server. 
     According to various embodiments, each component (e.g., a module or a program) of the above-described components may include a single entity or multiple entities. According to various embodiments, one or more of the above-described components may be omitted, or one or more other components may be added. Alternatively or additionally, a plurality of components (e.g., modules or programs) may be integrated into a single component. In such a case, according to various embodiments, the integrated component may still perform one or more functions of each of the plurality of components in the same or similar manner as they are performed by a corresponding one of the plurality of components before the integration. According to various embodiments, operations performed by the module, the program, or another component may be carried out sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order or omitted, or one or more other operations may be added.