Electronics and Telecommunications Research Institute

Korea Institute of Energy Research

Yong Seok Seo

Jung Hyun Kim

Won Young Yoo

Jee Hyun Park

Dong Hyuck Im

Young Ho Suh

Seung Jae Lee

Jung Ho Lee

Sung Min Kim

Sang Kwang Lee

Hye Mi Kim

Ji Yeon Choi

Sanghyun Joo

Young Gi Yoon

Chan-Soo Kim

Tae Young Kim

Namjo Jeong

Eun-Jin Jwa

Han Ki Kim

Young Suk Yoon

Kyo Sik Hwang

Moon-Seok Jang

Joo-youn Nam

Seon Hwa Lee

Soon-chul Park

Yong Suk Yoon

Ji Hyung Han

Soon-Chul Park

Joo-Youn Nam

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

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

Disclosed is a direct synthesis method of nanostructured catalyst particles on surfaces of various supports. In the disclosed synthesis method of a catalyst structure having a plurality of nanostructured catalyst particles dispersed in a support by a one-step process using a high-temperature high-pressure closed reactor, the one-step process includes supplying the support and a catalyst source into the high-temperature high-pressure closed reactor; supplying an atmosphere forming gas of the reactor into the reactor; perfectly sealing the high-temperature high-pressure closed reactor and heating the reactor to produce the catalyst structure in the reactor under self-generated pressure and synthesis temperature conditions, the catalyst structure including the plurality of nanostructured catalyst particles dispersed in the support; removing internal gases of the reactor to allow the reactor to be in a high-temperature, atmospheric pressure state and supplying an inert gas into the reactor to remove unreacted materials and byproducts remaining in the reactor; and cooling the reactor to room temperature while supplying the inert gas to synthesize the catalyst structure.

Direct synthesis method of nanostructured catalyst particles on various supports and catalyst structure produced by the same

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.

Apparatus and method for forensic marking of digital content

A for embedding a digital watermark on a wavelet lowest subband includes: setting a DC component region of a multi-stage wavelet-transformed original copy image to a watermark embedment region, and high-frequency filtering an original picture LLof the embedment region; generating index information for designating a pixel position, and a watermark sequence to be embedded; calculating an embedment strength &#x3bb; for each position of the watermark embedment region; in case the watermark sequence is sequentially embedded on an embedded position designated by the index information, mutually comparing the original picture LLcoefficient value for each embedded position with a mirror picture LL' coefficient value, and then altering the original picture LLcoefficient value; and in case the original picture LLcoefficient value is differentiated above a predetermined value with reference to the coffesponding embedment strength &#x3bb;, skipping the watermark embedment for the position.

Method for embedding and extracting digital watermark on lowest wavelet subband

Growing community of inventors

Daejeon, South Korea

Yong Seok Seo