KLI

Person Browser System Based on Named Entity Recognition for Broadcast News Interview Videos

Metadata Downloads
Abstract
This work introduces a novel approach to extract meaningful content information from video by collaborative integration of image understanding and natural language processing. We developed a person browser system that associates faces and overlaid name texts in videos. This approach takes news videos as a knowledge source, then automatically extracts face and associated name text as content information. The proposed framework consists of the text detection module, the face detection module, and the person indexing database module. The successful results of person extraction reveal that the proposed methodology of integrated use of image understanding techniques and natural language processing technique is headed in the right direction to achieve our goal of accessing real content of multimedia information.
Author(s)
이상희조강현
Issued Date
2021
Type
Article
Keyword
ArticleControlEngineeringMechatronicsRobotics제어계측공학
DOI
10.1007/s12555-019-0391-z
URI
https://oak.ulsan.ac.kr/handle/2021.oak/9126
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9672510&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Person%20Browser%20System%20Based%20on%20Named%20Entity%20Recognition%20for%20Broadcast%20News%20Interview%20Videos&offset=0&pcAvailability=true
Publisher
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
Location
대한민국
Language
영어
ISSN
1598-6446
Citation Volume
19
Citation Number
1
Citation Start Page
186
Citation End Page
199
Appears in Collections:
Engineering > IT Convergence
Authorize & License
  • Authorize공개
Files in This Item:
  • There are no files associated with this item.

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.