Electronics and Telecommunications Research Institute

Won Young Yoo

Jung Hyun Kim

Yong Seok Seo

Jee Hyun Park

Dong Hyuck Im

Seung Jae Lee

Young Ho Suh

Jung Ho Lee

Sung Min Kim

Sang Kwang Lee

Keun Dong Lee

Hye Mi Kim

Weon Geun Oh

Jung Jae Yu

Wook Ho Son

Gil Haeng Lee

Jong Gook Ko

Su Woong Lee

Da Un Jung

Hyung Kwan Son

Young Suk Yoon

Yong Suk Yoon

Ju Won Lee

The present invention relates to an apparatus and method for identifying music in a content, The present invention includes extracting and storing a fingerprint of an original audio in an audio fingerprint DB; extracting a first fingerprint of a first audio in the content; and searching for a fingerprint corresponding to the fingerprint of the first audio in the audio fingerprint DB, wherein the first audio is audio data in a music section detected from the content.

Method and apparatus for identifying music in content

Provided are a system and method for generating an image implemented in the same style as a style of a single image sample based on a result of learning the single image sample, the system including: an image learning unit configured to train a deep learning network model based on an image sample of a specific style to generate a same style generative model network; and an image generating unit configured to input a layout image to the same style generative model network to generate an image having the same style as the specific style image sample while conforming to a layout structure of the layout image.

System and method for generating images of the same style based on layout

A fast object detection method and a fast object detection apparatus using an artificial neural network. The fast object detection method includes obtaining an input image; inputting the obtained input image into an object detection neural network using a plurality of preset bounding boxes; and detecting an object included in the input image by acquiring output data of the object detection neural network.

Method and apparatus for high speed object detection using artificial neural network

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.

Method and apparatus for generating learning data required to learn animation characters based on deep learning

An apparatus for recognizing a person includes a content separator configured to receive contents and separate the contents into video content and audio content; a video processor configured to recognize a face from an image in the video content received from the content separator and obtain information on a face recognition section by analyzing the video content; an audio processor configured to recognize a speaker from voice data in the audio content received from the content separator and obtain information on a speaker recognition section by analyzing the audio content; and a person recognized section information provider configured to provide information on a section of the contents in which a person appears based on the information on the face recognition section and the information on the speaker recognition section.

Apparatus and method for recognizing person

A signature actor determination method for video identification includes setting a list of actors who appear in each of a plurality of videos, generating a plurality of subsets including the actors, and determining that an actor included in a single final set indicating a first video among the plurality of subsets is a signature actor of the first video. Accordingly, video identification is possible by using just a little information.

Method and apparatus for determining signature actor and identifying video based on probability of appearance of signature actor

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.

Apparatus and method for determining video-related emotion and method of generating data for learning video-related emotion

A server for providing a city street search service includes a street information database configured to store city street images, a feature selection unit configured to select at least one feature according to a predetermined criterion when a city street image for searching and two or more features for the image are received from a user terminal, a candidate extraction unit configured to extract a candidate list of a city street image, a feature matching unit configured to match the city street image for registration included in the extracted candidate list and the at least one selected feature, and a search result provision unit configured to provide the user terminal with a result of the matching as result information regarding the city street image for searching.

Server and method for providing city street search service

The present disclosure relates to a system and a method for finger printing for comics. A system for searching comics according to the present disclosure includes: a fingerprint database storing fingerprints extracted from comics, a comics fingerprint extraction unit extracting fingerprints configured of at least one of box frames, cuts, and speech bubbles included in input comic images, a fingerprint based candidate group search unit searching candidate groups among comics stored in the fingerprint database using the extracted fingerprints, and a similarity measuring unit measuring similarity between the searched candidate groups and the comic images corresponding to the extracted fingerprints.

System and method for fingerprinting for comics

Provided are an apparatus and method for forensic marking of digital content. The apparatus includes a forensic marker configured to generate first content by inserting a first binary forensic mark in original content and second content by inserting a second binary forensic mark in the original content, and when a content service request is generated, combine the first content and the second content on the basis of information about a user who has requested the content service and thereby generate third content in which a forensic mark corresponding to the user information is inserted, a content database configured to store the first and second content, and a transceiver configured to transmit the third content.

Growing community of inventors

Daejeon, South Korea

Won Young Yoo