Keyword based Keyframe Extraction in Online Video Collections

Edoardo Ardizzone, Marco La Cascia, Giuseppe Mazzola

2015

Abstract

Keyframe extraction methods aim to find in a video sequence the most significant frames, according to specific criteria. In this paper we propose a new method to search, in a video database, for frames that are related to a given keyword, and to extract the best ones, according to a proposed quality factor. We first exploit a speech to text algorithm to extract automatic captions from all the video in a specific domain database. Then we select only those sequences (clips), whose captions include a given keyword, thus discarding a lot of information that is useless for our purposes. Each retrieved clip is then divided into shots, using a video segmentation method, that is based on the SURF descriptors and keypoints. The sentence of the caption is projected onto the segmented clip, and we select the shot that includes the input keyword. The selected shot is further inspected to find good quality and stable parts, and the frame which maximizes a quality metric is selected as the best and the most significant frame. We compare the proposed algorithm with another keyframe extraction method based on local features, in terms of Significance and Quality.

Paper Citation

in Harvard Style

Ardizzone E., La Cascia M. and Mazzola G. (2015). Keyword based Keyframe Extraction in Online Video Collections . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 170-177. DOI: 10.5220/0005190001700177

in Bibtex Style

@conference{icpram15,
author={Edoardo Ardizzone and Marco La Cascia and Giuseppe Mazzola},
title={Keyword based Keyframe Extraction in Online Video Collections},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={170-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005190001700177},
isbn={978-989-758-077-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Keyword based Keyframe Extraction in Online Video Collections
SN - 978-989-758-077-2
AU - Ardizzone E.
AU - La Cascia M.
AU - Mazzola G.
PY - 2015
SP - 170
EP - 177
DO - 10.5220/0005190001700177