Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Videos
Videos
Thesis submission
Thesis submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Contact us
Contact us
Exploiting information extraction techniques for automatic semantic video indexing with an application to Turkish news videos
Date
2011-08-01
Author
Kucuk, Dilek
Yazıcı, Adnan
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
8
views
0
downloads
Cite This
This paper targets at the problem of automatic semantic indexing of news videos by presenting a video annotation and retrieval system which is able to perform automatic semantic annotation of news video archives and provide access to the archives via these annotations. The presented system relies on the video texts as the information source and exploits several information extraction techniques on these texts to arrive at representative semantic information regarding the underlying videos. These techniques include named entity recognition, person entity extraction, coreference resolution, and semantic event extraction. Apart from the information extraction components, the proposed system also encompasses modules for news story segmentation, text extraction, and video retrieval along with a news video database to make it a full-fledged system to be employed in practical settings. The proposed system is a generic one employing a wide range of techniques to automate the semantic video indexing process and to bridge the semantic gap between what can be automatically extracted from videos and what people perceive as the video semantics. Based on the proposed system, a novel automatic semantic annotation and retrieval system is built for Turkish and evaluated on a broadcast news video collection, providing evidence for its feasibility and convenience for news videos with a satisfactory overall performance.
Subject Keywords
Software
,
Information Systems and Management
,
Management Information Systems
,
Artificial Intelligence
URI
https://hdl.handle.net/11511/34943
Journal
KNOWLEDGE-BASED SYSTEMS
DOI
https://doi.org/10.1016/j.knosys.2011.03.006
Collections
Department of Computer Engineering, Article
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
D. Kucuk and A. Yazıcı, “Exploiting information extraction techniques for automatic semantic video indexing with an application to Turkish news videos,”
KNOWLEDGE-BASED SYSTEMS
, vol. 24, no. 6, pp. 844–857, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34943.