Detail publikace

Event Editor - The Multi-Modal Annotation Tool

SUMEC, S., KADLEC, J.

Originální název

Event Editor - The Multi-Modal Annotation Tool

Anglický název

Event Editor - The Multi-Modal Annotation Tool

Jazyk

en

Originální abstrakt

This contribution presents a multi-modal annotation tool developed to simplify tasks of searching information in multi-modal data and to shorten the testing time of developed algorithms working with multi-modal data (image and speech recognition, tracking algorithms etc.). Many annotation tools are limited by its approach: annotate in a real-time or frame-by-frame manner which is limiting possibilities of precise annotation (real-time annotation tools) or increase time spent by annotation (frame-by-frame annotation tools). The presented annotation tool allows for annotations to be done in real-time with easy frame-precise corrections which decreases time spent by annotation and increases annotation precision.

Anglický abstrakt

This contribution presents a multi-modal annotation tool developed to simplify tasks of searching information in multi-modal data and to shorten the testing time of developed algorithms working with multi-modal data (image and speech recognition, tracking algorithms etc.). Many annotation tools are limited by its approach: annotate in a real-time or frame-by-frame manner which is limiting possibilities of precise annotation (real-time annotation tools) or increase time spent by annotation (frame-by-frame annotation tools). The presented annotation tool allows for annotations to be done in real-time with easy frame-precise corrections which decreases time spent by annotation and increases annotation precision.

Dokumenty

BibTex


@inproceedings{BUT18039,
  author="Stanislav {Sumec} and Jaroslav {Kadlec}",
  title="Event Editor - The Multi-Modal Annotation Tool",
  annote="This contribution presents a multi-modal annotation tool developed to simplify tasks of searching information in multi-modal data and to shorten the testing time of developed algorithms working with multi-modal data (image and speech recognition, tracking algorithms etc.). Many annotation tools are limited by its approach: annotate in a real-time or frame-by-frame manner which is limiting possibilities of precise annotation (real-time annotation tools) or increase time spent by annotation (frame-by-frame annotation tools). The presented annotation tool allows for annotations to be done in real-time with easy frame-precise corrections which decreases time spent by annotation and increases annotation precision.",
  booktitle="Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI)",
  chapter="18039",
  year="2005",
  month="july",
  pages="1",
  type="conference paper"
}