On the detection of semantic concepts at TRECVID

@inproceedings{Naphade2004OnTD,
  title={On the detection of semantic concepts at TRECVID},
  author={Milind R. Naphade and Jonathan Simon Richardson Smith},
  booktitle={ACM Multimedia},
  year={2004}
}
Semantic multimedia management is necessary for the effective and widespread utilization of multimedia repositories and realizing the potential that lies untapped in the rich multimodal information content. This challenge has driven researchers to devise new algorithms and systems that enable automatic or semi-automatic tagging of large scale multimedia content with rich semantics. An emerging research area is the detection of a predetermined set of semantic concepts that can act as semantic… CONTINUE READING

Similar Papers

Figures, Tables, and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 107 CITATIONS

A review of text and image retrieval approaches for broadcast news video

  • Information Retrieval
  • 2007
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Adapting appearance models of semantic concepts to particular videos via transductive learning

  • Multimedia Information Retrieval
  • 2007
VIEW 8 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Fast and Accurate Content-based Semantic Search in 100M Internet Videos

  • ACM Multimedia
  • 2015
VIEW 4 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Natural language descriptions for video streams

VIEW 3 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

A novel framework for concept detection on large scale video database and feature pool

  • Artificial Intelligence Review
  • 2011
VIEW 2 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Chapter XIII Active Video Annotation : To Minimize Human Effort

VIEW 6 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Semi-supervised learning for semantic video retrieval

VIEW 6 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Evaluation campaigns and TRECVid

  • Multimedia Information Retrieval
  • 2006
VIEW 3 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2001
2016

CITATION STATISTICS

  • 10 Highly Influenced Citations