Content analysis of video using principal components

@article{Sahouria1999ContentAO,
  title={Content analysis of video using principal components},
  author={Emile Sahouria and Avideh Zakhor},
  journal={IEEE Trans. Circuits Syst. Video Techn.},
  year={1999},
  volume={9},
  pages={1290-1298}
}
We use principal component analysis (PCA) to reduce the dimensionality of features of video frames for the purpose of content description. This low dimensional description makes practical the direct use of all the frames of a video sequence in later analysis. The PCA representation circumvents or eliminates several of the stumbling blocks in current analysis methods, and makes new analyses feasible. We demonstrate this with two applications. The first accomplishes high level scene description… CONTINUE READING
Highly Influential
This paper has highly influenced 11 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 153 citations. REVIEW CITATIONS
85 Extracted Citations
19 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 85 extracted citations

153 Citations

01020'99'02'06'10'14'18
Citations per Year
Semantic Scholar estimates that this publication has 153 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…