Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Digital Libraries for Open Knowledge |
| Untertitel | 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Proceedings |
| Herausgeber/-innen | Antoine Doucet, Antoine Isaac, Koraljka Golub, Trond Aalberg, Adam Jatowt |
| Herausgeber (Verlag) | Springer Verlag |
| Seiten | 327-335 |
| Seitenumfang | 9 |
| Auflage | 1. |
| ISBN (elektronisch) | 978-3-030-30760-8 |
| ISBN (Print) | 978-3-030-30759-2 |
| Publikationsstatus | Veröffentlicht - 30 Aug. 2019 |
| Veranstaltung | 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019 - Oslo, Norwegen Dauer: 9 Sept. 2019 → 12 Sept. 2019 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 11799 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
Effective learning with audiovisual content depends on many factors. Besides the quality of the learning resource’s content, it is essential to discover the most relevant and suitable video in order to support the learning process most effectively. Video summarization techniques facilitate this goal by providing a quick overview over the content. It is especially useful for longer recordings such as conference presentations or lectures. In this paper, we present a domain specific approach that generates a visual summary of video content using solely textual information. For this purpose, we exploit video annotations that are automatically generated by speech recognition and video OCR (optical character recognition). Textual information is represented by semantic word embeddings and extracted keyphrases. We demonstrate the feasibility of the proposed approach through its incorporation into the TIB AV-Portal (http://av.tib.eu/ ), which is a platform for scientific videos. The accuracy and usefulness of the generated video content visualizations is evaluated in a user study.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Digital Libraries for Open Knowledge: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Proceedings. Hrsg. / Antoine Doucet; Antoine Isaac; Koraljka Golub; Trond Aalberg; Adam Jatowt. 1. Aufl. Springer Verlag, 2019. S. 327-335 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11799 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Visual Summarization of Scholarly Videos Using Word Embeddings and Keyphrase Extraction
AU - Zhou, Hang
AU - Otto, Christian
AU - Ewerth, Ralph
N1 - Funding information: Part of this work is financially supported by the Leibniz Association, Germany (Leibniz Competition 2018, funding line “Collaborative Excellence”, project SALIENT [K68/2017]).
PY - 2019/8/30
Y1 - 2019/8/30
N2 - Effective learning with audiovisual content depends on many factors. Besides the quality of the learning resource’s content, it is essential to discover the most relevant and suitable video in order to support the learning process most effectively. Video summarization techniques facilitate this goal by providing a quick overview over the content. It is especially useful for longer recordings such as conference presentations or lectures. In this paper, we present a domain specific approach that generates a visual summary of video content using solely textual information. For this purpose, we exploit video annotations that are automatically generated by speech recognition and video OCR (optical character recognition). Textual information is represented by semantic word embeddings and extracted keyphrases. We demonstrate the feasibility of the proposed approach through its incorporation into the TIB AV-Portal (http://av.tib.eu/ ), which is a platform for scientific videos. The accuracy and usefulness of the generated video content visualizations is evaluated in a user study.
AB - Effective learning with audiovisual content depends on many factors. Besides the quality of the learning resource’s content, it is essential to discover the most relevant and suitable video in order to support the learning process most effectively. Video summarization techniques facilitate this goal by providing a quick overview over the content. It is especially useful for longer recordings such as conference presentations or lectures. In this paper, we present a domain specific approach that generates a visual summary of video content using solely textual information. For this purpose, we exploit video annotations that are automatically generated by speech recognition and video OCR (optical character recognition). Textual information is represented by semantic word embeddings and extracted keyphrases. We demonstrate the feasibility of the proposed approach through its incorporation into the TIB AV-Portal (http://av.tib.eu/ ), which is a platform for scientific videos. The accuracy and usefulness of the generated video content visualizations is evaluated in a user study.
KW - Scientific videos
KW - Video summarization
KW - Word embeddings
UR - http://www.scopus.com/inward/record.url?scp=85072865951&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30760-8_28
DO - 10.1007/978-3-030-30760-8_28
M3 - Conference contribution
AN - SCOPUS:85072865951
SN - 978-3-030-30759-2
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 327
EP - 335
BT - Digital Libraries for Open Knowledge
A2 - Doucet, Antoine
A2 - Isaac, Antoine
A2 - Golub, Koraljka
A2 - Aalberg, Trond
A2 - Jatowt, Adam
PB - Springer Verlag
T2 - 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019
Y2 - 9 September 2019 through 12 September 2019
ER -