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Conference object . 2011
https://doi.org/10.1109/mmweb....
Article . 2011 . Peer-reviewed
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Conference object . 2023
Data sources: DBLP
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Hypervideo and Annotations on the Web

Authors: Sadallah, Madjid; Aubert, Olivier; Prié, Yannick;

Hypervideo and Annotations on the Web

Abstract

Effective video-based Web information system deployment is still challenging, while the recent widespread of multimedia further raises the demand for new online audiovisual document edition and presentation alternatives. Hyper video, a specialization of hypermedia focusing on video, can be used on the Web to provide a basis for video-centric documents and to allow more elaborated practices of online video. In this paper, we propose an annotation-driven model to conceptualize hyper videos, promoting a clear separation between video content/metadata and their various potential presentations. Using the proposed model, features of hyper video are grafted to wider video-based Web documents in a Web standards-compliant manner. The annotation-driven hyper video model and its implementation offer a general framework to experiment with new interaction modalities for video-based knowledge communication on the Web.

Country
France
Keywords

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM], [INFO.INFO-WB] Computer Science [cs]/Web

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green