Abstract: Provided are a data processing method and apparatus, an electronic device, and a storage medium. The data processing method includes acquiring a target directed acyclic graph (DAG) corresponding to the service processing logic of a model self-taught learning service, where the service processing logic includes execution logic for acquiring service data generated by an online released service model, execution logic for training a to-be-trained service model based on the service data, and execution logic for releasing the trained service model online; and performing self-taught learning on the to-be-trained service model according to the target DAG.

Abstract: Amendment to the Abstract: Disclosed are an in-place supervision method and apparatus suitable for overhead transmission line maintenance operation, the method includes: geographic coordinate information of an overhead transmission line is, written into a risk management and control master station system of the whole electric power operation process, and an in-place supervision algorithm is written into the risk management and control master station system of the whole electric power operation process; geodetic coordinates A of a maintenance operation site and geodetic coordinates B of a supervisor are read; a distance is solved based on an elliptic spherical arc length approximate chord length algorithm; whether the distance S exceeds a threshold value of out of supervision or not is judged.

Abstract: A decoding method includes obtaining an identifier from a bitstream, where the identifier indicates a minimum decoding time interval k between library pictures that is allowed in the bitstream, obtaining, when parsing the bitstream, a decoding moment ti of a current decoded picture and a decoding moment tj of a first decoded picture that is closest to the current decoded picture and that references a new library picture when the current decoded picture is decoded by referencing a library picture, where the new library picture is a library picture that is not decoded or needs to be re-decoded when the first decoded picture is decoded, and determining a preset quantity of library pictures as candidate reference pictures of the current decoded picture based on a relationship between k and a difference between ti and tj.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for recommending a video. A specific implementation of the method includes: finding a recommended video corresponding to a target video from all candidate videos based on similarities of content characteristics of the videos, the target video being a video to be played on a terminal of a user; and sending play information of the recommended video corresponding to the target video to the terminal of the user. The method finds a video similar on video content to the target video that the user desires to view based on the content characteristic of the video, and recommends the video similar on video content to the target video that the user desires to view to the user.

Abstract: Embodiments of the present disclosure provide a human-machine interaction processing method, an apparatus thereof, a user terminal, a processing server and a system. On the user terminal side, the method includes: receiving an interaction request voice inputted from a user, and collecting video data of the user when inputting the interaction request voice; obtaining an interaction response voice corresponding to the interaction request voice, where the interaction response voice is obtained according to expression information of the user when inputting the interaction request voice and included in the video data; and outputting the interaction response voice to the user. The method imbues the interaction response voice with an emotional tone that matches the current emotion of the user, so that the human-machine interaction process is no longer monotonous, greatly enhancing the user experience.

Abstract: A decoding method includes obtaining an identifier from a bitstream, where the identifier indicates a minimum decoding time interval k between library pictures that is allowed in the bitstream, obtaining, when parsing the bitstream, a decoding moment ti of a current decoded picture and a decoding moment tj of a first decoded picture that is closest to the current decoded picture and that references a new library picture when the current decoded picture is decoded by referencing a library picture, where the new library picture is a library picture that is not decoded or needs to be re-decoded when the first decoded picture is decoded, and determining a preset quantity of library pictures as candidate reference pictures of the current decoded picture based on a relationship between k and a difference between ti and tj.

Abstract: The present disclosure provides a method, an apparatus, a device and a system for sign language translation, where a server receives video information sent by a terminal device, and preprocesses the video information to obtain at least one sign language action; the at least one sign language action is input into a sign language model for classification and prediction to obtain a word corresponding to the at least one sign language action; each word is input into a language model to determine whether an intention expression is complete; and each word is sent to the terminal device when the intention expression is complete, so that the terminal device displays each word, thereby realizing the translation of the sign language action into text, enabling the ordinary persons to better understand intentions of the hearing impaired, thus improving efficiency of communications.

Abstract: Embodiments of the present disclosure provide a context acquiring method based on voice interaction and a device, the method comprising: acquiring a scene image collected by an image collection device at a voice start point of a current conversation, and extracting a face feature of each user in the scene image; if it is determined that there is a second face feature matching a first face feature according to the face feature of each user and a face database, acquiring a first user identifier corresponding to the second face feature from the face database; if it is determined that a stored conversation corresponding to the first user identifier is stored in a voice database, determine a context of a voice interaction according to the current conversation and the stored conversation, and after the voice end point of the current conversation is obtained, storing the current conversation into the voice database.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for recommending a video. A specific implementation of the method includes: finding a recommended video corresponding to a target video from all candidate videos based on similarities of content characteristics of the videos, the target video being a video to be played on a terminal of a user; and sending play information of the recommended video corresponding to the target video to the terminal of the user. The method finds a video similar on video content to the target video that the user desires to view based on the content characteristic of the video, and recommends the video similar on video content to the target video that the user desires to view to the user.