This repository shares the features and matlab scripts for the following tasks:
- [1] "Video Co-summarization: Video Summarization by Visual Co-occurrence", ICCV 15.
- [2] "Unsupervised Temporal Commonality Discovery", ECCV 12.
More info:
- Contact: Please send comments to Wen-Sheng Chu (wschu@cmu.edu)
- Citation: If you use this code in your paper, please cite either of the following:
@InProceedings{chu2015video,
author = {Chu, Wen-Sheng and Song, Yale and Jaimes, Alejandro},
title = {Video Co-Summarization: Video Summarization by Visual Co-Occurrence},
booktitle = {CVPR},
year = {2015}
}
@inproceedings{chu2012unsupervised,
title={Unsupervised temporal commonality discovery},
author={Chu, Wen-Sheng and Zhou, Feng and {De la Torre}, Fernando},
booktitle={ECCV},
year={2012}
}
The project tree is organized as follows.
data/ directory of pre-computed data for 14 mocap sequences of Subject 86
func/ provided Matlab functions
README.md this file
demo_cosum_km_pair.m k-means results of Fig 6 in [1]
demo_cosum_km_batch.m k-means results of Sec 4.3 in [1]
result_km_16-Oct-2014.mat pre-computed k-means results reported in [1] (should be replicated from demo_cosum_km_batch.m)
In Matlab shell:
>> cd mocap
>> demo_cosum_km_pair
The script has been tested on Windows 8, Ubuntu 3.11.0 and Mac X 10.9.4 without problems. Please send your feedbacks to Wen-Sheng Chu regarding any issues, bugs and improvements.
The code may be redistributed under BSD license.