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Authors: Edoardo Ardizzone 1 ; Marco La Cascia 2 and Giuseppe Mazzola 1

Affiliations: 1 Università degli Studi di Palermo, Italy ; 2 Università degli studi di palermo, Italy

ISBN: 978-989-758-077-2

ISSN: 2184-4313

Keyword(s): Video Summarization, Keyframe Extraction, Automatic Speech Recognition, YouTube, Multimedia Collections.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Data Engineering ; Image and Video Analysis ; Image Understanding ; Information Retrieval ; Object Recognition ; Ontologies and the Semantic Web ; Pattern Recognition ; Software Engineering ; Video Analysis ; Web Applications

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. (More)


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Paper citation in several formats:
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, ISSN 2184-4313, pages 170-177. DOI: 10.5220/0005190001700177

author={Edoardo Ardizzone. and La Cascia, M. 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,},


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

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