HEVC-SVS Datasets

Proposed HEVC feature sets along with CNN features from GoogleNet, AlexNet, Inception-ResNet-V2, and VGG16 for TVSum, SumMe, OVP and VSUMM datasets. The new modified datasets names are "HEVC-SVS-TVSum", "HEVC-SVS-SumMe", "HEVC-SVS-OVP" and "HEVC-SVS-VSUMM", respecively.

The datasets contain the original ground truth data they came with, and these stayed unmodified.

The datasets can be downloaded from Google Drive here.

The following are the HEVC features with their descriptions:

Upon using any of these datasets, please do cite our publication where we proposed the HEVC feature set for the first time:

If you are using (HEVC-SVS-OVP) and/or (HEVC-SVS-VSUMM) datasets: Link

@article{issa_cnn_2022,
	title = {{CNN} and {HEVC} {Video} {Coding} {Features} for {Static} {Video} {Summarization}},
	volume = {10},
	copyright = {Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND)},
	issn = {2169-3536},
	url = {https://ieeexplore.ieee.org/document/9815254/},
	doi = {10.1109/ACCESS.2022.3188638},
	urldate = {2022-09-29},
	journal = {IEEE Access},
	author = {Issa, Obada and Shanableh, Tamer},
	year = {2022},
	pages = {72080--72091},
}

If you are using (HEVC-SVS-TVSum) and/or (HEVC-SVS-SumMe) datasets: Link

@article{issa_static_2023,
	title = {Static {Video} {Summarization} {Using} {Video} {Coding} {Features} with {Frame}-{Level} {Temporal} {Subsampling} and {Deep} {Learning}},
	volume = {13},
	copyright = {All rights reserved},
	issn = {2076-3417},
	url = {https://www.mdpi.com/2076-3417/13/10/6065},
	doi = {10.3390/app13106065},
	number = {10},
	journal = {Applied Sciences},
	author = {Issa, Obada and Shanableh, Tamer},
	month = may,
	year = {2023},
	pages = {6065},
}

Make sure to also cite the original authors for each of the datasets:

TVSum:

@INPROCEEDINGS{7299154,
  author = {Yale Song and Vallmitjana, Jordi and Stent, Amanda and Jaimes, Alejandro},
  booktitle = {2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, 
  title = {TVSum: Summarizing web videos using titles}, 
  year = {2015},
  volume = {},
  number = {},
  pages = {5179-5187},
  doi = {10.1109/CVPR.2015.7299154}
}

SumMe:

@inproceedings{GygliECCV14,
   author ={Gygli, Michael and Grabner, Helmut and Riemenschneider, Hayko and Van Gool, Luc},
   title = {Creating Summaries from User Videos},
   booktitle = {ECCV},
   year = {2014}
}

OVP and VSUMM:

@article{Avila,
    title = "VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method",
    journal = "Pattern Recognition Letters",
    volume = "32",
    number = "1",
    pages = "56 - 68",
    year = "2011",
    note = "<ce:title>Image Processing, Computer Vision and Pattern Recognition in Latin America</ce:title>",
    issn = "0167-8655",
    doi = "10.1016/j.patrec.2010.08.004",
    author = "Sandra Eliza Fontes de Avila and Ana Paula Brand„o Lopes and Antonio da Luz Jr. and Arnaldo de Albuquerque Ara˙jo",
}

Acknowledgement:

The work in this research project is supported by the American University of Sharjah under research grant number FRG22-E-E44. This research work represents the opinions of the author(s) and does not mean to represent the position or opinions of the American University of Sharjah.