ML Anthology

Efficiently Constructing Mosaics from Video Collections

Frank Liu, Robin Hess, Alan Fern
WACV 2015 pp. 223-230
doi:10.1109/WACV.2015.37 /wacv/2015/liu2015wacv-efficiently/

Abstract

In this paper, we describe an efficient method for creating mosaics from collections of videos. Our method is based on a utility maximization formulation which we optimize greedily. We employ a function for quickly estimating mosaics without computing image features that allows us to efficiently take greedy steps while still achieving user definable goals for mosaic quality. Indeed, we demonstrate using a number of single- and multi-video experiments that our approach can construct high-quality mosaics in only a fraction of the time required to perform the operations undertaken by existing video mosaicing algorithms. While we focus in this work on the application of panorama construction, our method has a wide range of applications, such as super-resolution, summary, and indexing.

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Cite

Text

Liu et al. "Efficiently Constructing Mosaics from Video Collections." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015. doi:10.1109/WACV.2015.37

Markdown

[Liu et al. "Efficiently Constructing Mosaics from Video Collections." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015.](https://mlanthology.org/wacv/2015/liu2015wacv-efficiently/) doi:10.1109/WACV.2015.37

BibTeX

@inproceedings{liu2015wacv-efficiently,
  title     = {{Efficiently Constructing Mosaics from Video Collections}},
  author    = {Liu, Frank and Hess, Robin and Fern, Alan},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2015},
  pages     = {223-230},
  doi       = {10.1109/WACV.2015.37},
  url       = {https://mlanthology.org/wacv/2015/liu2015wacv-efficiently/}
}