Abstract: An electronic device includes: a communication circuit; memory storing instructions; at least one processor operably coupled to the communication circuit and the memory, wherein the at least one processor, when executing the instructions, is configured to, issue non-fungible token (NFT) related to first content, receive, via the communication circuit, a request for a transaction of the first content based on a first virtual currency, based on the received request for the transaction, identify an electronic wallet to which the NFT is allocated, and based on the transaction, allocate a second virtual currency to the identified electronic wallet.

Abstract: Provided are an apparatus for performing leveling of a person image and an operating method thereof. The method includes: receiving an original person image; selecting an arbitrary latent vector in a latent space; generating a virtual person image based on the latent vector; optimizing the latent vector such that identity similarity between the original person image and the virtual person image increases; manipulating the optimized latent vector; and generating a levelled person image corresponding to the original person image, by using the manipulated latent vector.

Abstract: An electronic device according to an embodiment includes a memory for storing instructions, and at least one processor, wherein when the instructions are executed, the at least one processor is configured to identify a video capturing a body and one or more markers attached to the body, obtain a first information including an angle and a position of at least one first joint among joints being included in the body, based on the one or more markers in the video, obtain a second information including a position of at least one second joint among the joints being included in the body, based on at least part of the video in which the body is captured among the body and the one or more markers in the video, and obtain a third information indicating a posture of the body based on the interconnection of the at least one first joint and the at least one second joint in the video, based on the first information and the second information.

Abstract: An electronic device according to an embodiment includes a memory for storing instructions, and at least one processor operatively coupled to the memory, wherein when the instructions are executed, the at least one processor is configured to identify a plurality of videos capturing a body from each of a plurality of cameras, obtain a first information indicating a movement of a designated body part from a first video of the plurality of videos, obtain a second information indicating a movement of the designated body part from a second video of the plurality of videos, and synchronize the first video and the second video based on the first information and the second information.

Abstract: An electronic device according to an embodiment includes a processor configured to obtain a first data set including a plurality of first words, based on a first neural network stored in the memory, obtain from the first data set, a second data set including a first sub data set including first parameters corresponding to each of designated second words and a second sub data set including second parameters corresponding to each of the plurality of first words, and output, based on parameters included in the second data set, one or more third words related to the plurality of first words, and the first neural network is trained based on a first weight factor applied to the first parameters corresponding to each of the second words and a second weight factor applied to the second parameter, using a second neural network. Various other embodiments are possible.

Abstract: A non-transitory computer readable storage medium store one or more programs including instructions causing an electronic device to receive, while a visual object is in a first state among a plurality of states, a user input for switching a state of the visual object to a second state among the plurality of states; provide data regarding the user input as input data to a neural network for training of the neural network; identify a third state among the plurality of states, wherein the third state is an intermediate state for switching the first state to the second state; obtain, from the neural network, data regarding the third state as output data for the data regarding the user input; determine a compensation value for the data regarding the third state; and train, by providing the data regarding the compensation value to the neural network, the neural network.

Abstract: The one or more programs stored in a computer-readable storage medium according to various embodiments include instructions cause the first electronic device to receive, from a third electronic device, a first signal related to a user input to access a character corresponding to a user of the third electronic device through a first connection between the first electronic device and the third electronic device, establish a second connection between the first electronic device and a second electronic device distinct from the third electronic device and third connection for transmission of graphic data from the third electronic device to the second electronic device, transmit a second signal for requesting generation of the graphic data including the character controlled based on the second user input to the second electronic device through the second connection, and control the character independently of the transmission of the graphic data based on the third connection.

Abstract: The electronic device according to various embodiments include a memory configured to store instructions and at least one processor configured, when executing the instructions, to obtain a first video sequence including a visual object corresponding to a body; obtain a local posture sequence of the visual object that indicates postures of at least one visual element of the visual object in the first video sequence, the at least one visual element of the visual object corresponding to at least one joint of the body; obtain a global motion sequence of the visual object, based on a difference between the postures of the at least one visual element, the postures of the at least one visual object obtained by using the local posture sequence; and obtain a second video sequence, based on the local posture sequence and the global motion sequence.

Abstract: A non-transitory computer readable medium according to various embodiments store one or more programs include instructions cause, a first processor of an first electronic device to, transmit in response to identification of a first instructions executable by a second processor of the electronic device, at least portion of information associated with the identified first instructions, to a second electronic device, receive a signal associated with the first instructions from the second electronic device, store in response to identification of second instructions distinct from the first instructions from the received signal and executable by the second processor, the second instructions in the memory and transmit in response to identification of a command indicating upload of the first instructions from the received signal, the first instructions executable by the second processor to the second electronic device.

Abstract: Provided are an apparatus for performing leveling of a person image and an operating method thereof. The method includes: receiving an original person image; selecting an arbitrary latent vector in a latent space; generating a virtual person image based on the latent vector; optimizing the latent vector such that identity similarity between the original person image and the virtual person image increases; manipulating the optimized latent vector; and generating a levelled person image corresponding to the original person image, by using the manipulated latent vector.

Abstract: A motion synthesis motion synthesis method including: obtaining, by a motion synthesis apparatus, content feature values and style feature values according to content motion data and style motion data; generating, by the motion synthesis apparatus, target feature values using the obtained content feature values and style feature values; recognizing, by the motion synthesis apparatus, synthesized motion data and obtaining synthesized motion feature values from the recognized synthesized motion data; and obtaining, by the motion synthesis apparatus, loss by using the synthesized motion feature values and the target feature values and updating the synthesized motion data according to the obtained loss.

Abstract: A method and apparatus for generating a caption are provided. The method of generating a caption according to one embodiment comprises: generating caption text which corresponds to a voice of a speaker included in broadcast data; generating reference voice information using a part of the voice of the speaker included in the broadcast data; and generating caption style information for the caption text based on the voice of the speaker and the reference voice information.

Abstract: Provided is a method of determining the ranking of dialogue stickers based on situation and preference information. The method includes: analyzing utterances between the first user terminal and the second user terminal and selecting a sticker candidate group to be recommended to the first user terminal; calculating an expression suitability based on the preference and situation information in regard to the selected sticker candidate group; and determining the ranking of stickers in the order of suitability and then recommending a higher ranked sticker to the first user terminal.

Abstract: Provided is a method of recommending a dialogue sticker through similar situation retrieval. The method includes: generating dialogue situation information on the last utterances of the first user terminal and the second user terminal; retrieving a candidate situation having the most similar context from a dialogue situation information database, the situation including a plurality of continuous utterances; acquiring sticker information from pairs of utterance-sticker derived from the retrieved candidate situation and providing the sticker information for the first user terminal.

Abstract: Provided is a method of recommending a sticker through an emotion analysis. The method of recommending a sticker through an emotion analysis, include: by a server, performing a surface analysis on the last utterance between the first user terminal and the second user terminal; performing an emotion analysis on the last utterance using a result of the surface analysis; extracting a dialog context factor including a surface analysis result and an emotion analysis result on a certain number of continuous utterances including the last utterance between the first user terminal and the second user terminal; selecting a sticker to be recommended to the first user using the dialog context factor; and providing the selected sticker for the first user terminal.

Abstract: Disclosed is a method for providing an instant messaging service in a third-party service and an instant messaging server apparatus for providing the messaging service. The instant messaging service provision server according to an embodiment includes: an interest information collection module for collecting user interest information of a third-party service terminal from the terminal; a reception module for receiving a request for provision of a list of open chat rooms from the third-party service terminal; and a messaging service provision module for managing a list of a plurality of open chat rooms and providing the third-party service terminal with a list of open chat rooms associated with the user interest information of the third-party service terminal, according to the request.

Abstract: Provided are a method and a computer program of recommending a responsive sticker. The method includes: generating dialog situation information by analyzing pairs of the last utterance of a second user and previous utterances and previous utterances of a first user as an utterance of the second user terminal is inputted into the server; determining a similar situation from a dialog situation information database that is already collected and constructed, using the generated dialog situation information; determining whether it is a turn for the first user terminal to input a response; selecting a responsive sticker candidate group from the determined similar situation when it is a turn for the first user terminal to input the response; and providing information on at least one responsive sticker of the responsive sticker candidate group for the first user terminal.

Abstract: Provided are a method and a computer program of recommending a responsive sticker. The method includes: generating dialogue situation information by analyzing pairs of the last utterance of a second user and previous utterances and previous utterances of a first user as an utterance of the second user terminal is inputted into the server; determining a similar situation from a dialogue situation information database that is already collected and constructed, using the generated dialogue situation information; determining whether it is a turn for the first user terminal to input a response; selecting a responsive sticker candidate group from the determined similar situation when it is a turn for the first user terminal to input the response; and providing information on at least one responsive sticker of the responsive sticker candidate group for the first user terminal.

Abstract: Provided is a method of recommending a dialogue sticker through similar situation retrieval. The method includes: generating dialogue situation information on the last utterances of the first user terminal and the second user terminal; retrieving a candidate situation having the most similar context from a dialogue situation information database, the situation including a plurality of continuous utterances; acquiring sticker information from pairs of utterance-sticker derived from the retrieved candidate situation and providing the sticker information for the first user terminal.

Abstract: Provided is a method of recommending a sticker through an emotion analysis. The method of recommending a sticker through an emotion analysis, include: by a server, performing a surface analysis on the last utterance between the first user terminal and the second user terminal; performing an emotion analysis on the last utterance using a result of the surface analysis; extracting a dialogue context factor including a surface analysis result and an emotion analysis result on a certain number of continuous utterances including the last utterance between the first user terminal and the second user terminal; selecting a sticker to be recommended to the first user using the dialogue context factor; and providing the selected sticker for the first user terminal.