COGNIMUSE: a multimodal video database annotated with saliency, events, semantics and emotion with application to summarization

COGNIMUSE: a multimodal video database annotated with saliency, events, semantics and emotion with application to summarization

Abstract: Research related to computational modeling for machine-based understanding requires ground truth data for training, content analysis, and evaluation. In this paper, we present a multimodal video database, namely COGNIMUSE, annotated with sensory and semantic saliency, events, cross-media s...

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Bibliographic Details
Main Authors: Zlatintsi, Athanasia, Koutras, Petros, Malandrakis, Nikolaos, Efthymiou, Niki, Pastra, Katerina, Potamianos, Alexandros, Maragos, Petros, Evangelopoulos, Georgios
Other Authors: McGovern Institute for Brain Research at MIT
Format: Article
Language:English
Published: Springer International Publishing 2018
Online Access:http://hdl.handle.net/1721.1/113872
https://orcid.org/0000-0003-2240-1801

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http://hdl.handle.net/1721.1/113872
https://orcid.org/0000-0003-2240-1801

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