Semi-automatic semantic video annotation tool

Merve Aydinlilar, Adnan Yazici

Research output: Contribution to conferencePaperpeer-review

11 Citations (Scopus)

Abstract

Video management systems require semantic annotation of video for indexing and retrieval tasks. Currently, it is not possible to extract all high-level semantic information automatically. Also, automatic content based retrieval systems use high-level semantic annotations as ground truth data. We present a semi-automatic semantic video annotation tool that assists user to generate annotations to describe video in fine detail. Annotation process is partly automated to reduce annotation time. Generated annotations are in MPEG-7 metadata format for interoperability.

Original languageEnglish
Pages303-310
Number of pages8
DOIs
Publication statusPublished - 2013
Event27h International Symposium on Computer and Information Sciences, ISCIS 2012 - Paris, France
Duration: Oct 3 2012Oct 4 2012

Conference

Conference27h International Symposium on Computer and Information Sciences, ISCIS 2012
Country/TerritoryFrance
CityParis
Period10/3/1210/4/12

Keywords

  • MPEG-7
  • Semi-automatic annotation
  • Video annotation

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

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