Abstract:
Provided is an advertisement service system for providing additional information regarding an item as an advertisement target. The system for providing additional information of an advertisement includes an original advertisement server configured to provide original advertisement content and identification information regarding the original advertisement content, and a processing server configured to generate processed advertisement content by inserting the identification information into the original advertisement content, extract feature information with respect to the original advertisement content, and store at least one of the identification information and the feature information, together with additional information with respect to the original advertisement content.
Abstract:
In order to reduce interference that may be generated when a plurality of signals having different subcarrier intervals are received, a method of controlling a signal having a larger subcarrier interval to be suitable for a signal having a smaller subcarrier interval and a method of removing CFO interference are provided. Subcarrier intervals of a plurality of signals to be transmitted by wireless terminals are compared with each other, and signals are designed so that a signal having the largest subcarrier interval may be repeatedly transmitted. Therefore, interference that may be generated among different kinds of signals when the base station simultaneously receives the different kinds of signals to perform Fourier transform may be mitigated. In addition, interference caused by a CFO may be removed by previously compensating the CFO estimated in a time domain to perform Fourier transform.
Abstract:
An apparatus for generating text from an image may comprise: a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction, wherein the processor is further configured to generate encoding information for an image based on the image and extract text information related to content of the image based on a degree of association with the encoding information.
Abstract:
Disclosed are a learning data generation method and apparatus needed to learn animation characters on the basis of deep learning. The learning data generation method needed to learn animation characters on the basis of deep learning may include collecting various images from an external source using wired/wireless communication, acquiring character images from the collected images using a character detection module, clustering the acquired character images, selecting learning data from among the clustered images, and inputting the selected learning data to an artificial neural network for character recognition.
Abstract:
A method for determining a video-related emotion and a method of generating data for learning video-related emotions include separating an input video into a video stream and an audio stream; analyzing the audio stream to detect a music section; extracting at least one video clip matching the music section; extracting emotion information from the music section; tagging the video clip with the extracted emotion information and outputting the video clip; learning video-related emotions by using the at least one video clip tagged with the emotion information to generate a video-related emotion classification model; and determining an emotion related to an input query video by using the video-related emotion classification model to provide the emotion.
Abstract:
An information exchange apparatus of each node for sharing information between a plurality of nodes receives request information from an adjacent node and determines an information transmitting node based on information that each node holds and request information from the adjacent node, and an information exchange apparatus of a node that is determined to be an information transmitting node generates candidate transmitting information by performing network coding of at least one information set of held information, determines one of candidate transmitting information sets as transmitting information, and transmits the candidate transmitting information set to the adjacent node.