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Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Personalized Video Summarization Based Exclusively on User Preferences

Authors : Costas Panagiotakis, Harris Papadakis, Paraskevi Fragopoulou

Published in: Advances in Information Retrieval

Publisher: Springer International Publishing

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Abstract

We propose a recommender system to detect personalized video summaries, that make visual content interesting for the subjective criteria of the user. In order to provide accurate video summarization, the video segmentation provided by the users and the features of the video segments’ duration are combined using a Synthetic Coordinate based Recommendation system.

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Metadata
Title
Personalized Video Summarization Based Exclusively on User Preferences
Authors
Costas Panagiotakis
Harris Papadakis
Paraskevi Fragopoulou
Copyright Year
2020
Book
Advances in Information Retrieval

Print ISBN: 978-3-030-45441-8

Electronic ISBN: 978-3-030-45442-5

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-45442-5_38