Performance Characterization and Comparison of Video Indexing Algorithms
Abstract
Temporal segmentation of video is a necessary first step to indexing digital video for browsing and retrieval. A number of different video temporal segmentation algorithms have been published in the literature. There has been little effort to evaluate and characterize their performance so as to deliver a single (or set of) algorithms that may be used by other researchers for indexing video databases. The present results of evaluating a number of these algorithms and characterizing their performance, specifically with respect to robustness to encoder and bitrate changes. The lessons learnt have relevance to algorithm development and evaluation in general.
Cite
Text
Gargi et al. "Performance Characterization and Comparison of Video Indexing Algorithms." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998. doi:10.1109/CVPR.1998.698661Markdown
[Gargi et al. "Performance Characterization and Comparison of Video Indexing Algorithms." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998.](https://mlanthology.org/cvpr/1998/gargi1998cvpr-performance/) doi:10.1109/CVPR.1998.698661BibTeX
@inproceedings{gargi1998cvpr-performance,
title = {{Performance Characterization and Comparison of Video Indexing Algorithms}},
author = {Gargi, Ullas and Kasturi, Rangachar and Antani, Sameer K.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1998},
pages = {559-565},
doi = {10.1109/CVPR.1998.698661},
url = {https://mlanthology.org/cvpr/1998/gargi1998cvpr-performance/}
}