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 se...

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Bibliographic Details
Main Authors: Athanasia Zlatintsi, Petros Koutras, Georgios Evangelopoulos, Nikolaos Malandrakis, Niki Efthymiou, Katerina Pastra, Alexandros Potamianos, Petros Maragos
Format: Article
Language:English
Published: SpringerOpen 2017-08-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Video database
Saliency
Cross-media relations
Emotion annotation
Audio-visual events
Video summarization
Online Access:http://link.springer.com/article/10.1186/s13640-017-0194-1

Internet

http://link.springer.com/article/10.1186/s13640-017-0194-1

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