CMU mocap: Subject 86

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}
}

Contents

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)

Usage

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.

License

The code may be redistributed under BSD license.