Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Apostolidis, Evlampios"'
In this paper we introduce a new dataset for 360-degree video summarization: the transformation of 360-degree video content to concise 2D-video summaries that can be consumed via traditional devices, such as TV sets and smartphones. The dataset inclu
Externí odkaz:
http://arxiv.org/abs/2406.02991
In this paper, we propose an integrated framework for multi-granular explanation of video summarization. This framework integrates methods for producing explanations both at the fragment level (indicating which video fragments influenced the most the
Externí odkaz:
http://arxiv.org/abs/2405.10082
Autor:
Tsigos, Konstantinos, Apostolidis, Evlampios, Baxevanakis, Spyridon, Papadopoulos, Symeon, Mezaris, Vasileios
In this paper we propose a new framework for evaluating the performance of explanation methods on the decisions of a deepfake detector. This framework assesses the ability of an explanation method to spot the regions of a fake image with the biggest
Externí odkaz:
http://arxiv.org/abs/2404.18649
This paper presents a web-based tool that facilitates the production of tailored summaries for online sharing on social media. Through an interactive user interface, it supports a ``one-click'' video summarization process. Based on the integrated AI
Externí odkaz:
http://arxiv.org/abs/2312.02616
In this work, we present an integrated system for spatiotemporal summarization of 360-degrees videos. The video summary production mainly involves the detection of salient events and their synopsis into a concise summary. The analysis relies on state
Externí odkaz:
http://arxiv.org/abs/2312.02576
Autor:
Apostolidis, Evlampios, Adamantidou, Eleni, Metsai, Alexandros I., Mezaris, Vasileios, Patras, Ioannis
Video summarization technologies aim to create a concise and complete synopsis by selecting the most informative parts of the video content. Several approaches have been developed over the last couple of decades and the current state of the art is re
Externí odkaz:
http://arxiv.org/abs/2101.06072
Akademický článek
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Akademický článek
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Autor:
Nixon, Lyndon, Apostolidis, Evlampios, Markatopoulou, Foteini, Patras, Ioannis, Mezaris, Vasileios
This paper describes the combination of advanced technologies for social-media-based story detection, story-based video retrieval and concept-based video (fragment) labeling under a novel approach for multimodal video annotation. This approach involv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::a6afbfa1a8ef238ddad3edce58420563
https://zenodo.org/record/2539141
https://zenodo.org/record/2539141
Autor:
Apostolidis, Evlampios, Mezaris, Vasileios, Sahuguet, Mathilde, Huet, Benoit, Cervenková, Barbora, Stein, Daniel, Eickeler, Stefan, Redondo Garcia, José Luis, Troncy, Raphaël, Pikora, Lukas
Publikováno v:
ACMMM 2014, 22nd ACM International Conference on Multimedia, November 3-7, 2014, Orlando, Florida, USA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::4fcae723f85b681010eb5b9c74c59652
http://www.eurecom.fr/publication/4398
http://www.eurecom.fr/publication/4398