1 citations · 1 across the 10 of their papers we have counts for
12 papers
Sens-VisualNews: A Benchmark Dataset for Sensational Image Detection
Andreas Goulas, Damianos Galanopoulos, Evlampios Apostolidis +1
The detection of sensational content in media items can be a critical filtering mechanism for identifying check-worthy content and flagging potential disinformation, since such con…
SD-MVSum: Script-Driven Multimodal Video Summarization Method and Datasets
Manolis Mylonas, Charalampia Zerva, Evlampios Apostolidis +1
In this work, we present a method and two large-scale datasets for Script-Driven Multimodal Video Summarization. The proposed method, SD-MVSum, builds on our earlier SD-VSum method…
An Experimental Study on Generating Plausible Textual Explanations for Video Summarization
Thomas Eleftheriadis, Evlampios Apostolidis, Vasileios Mezaris
In this paper, we present our experimental study on generating plausible textual explanations for the outcomes of video summarization. For the needs of this study, we extend an exi…
TSalV360: A Method and Dataset for Text-driven Saliency Detection in 360-Degrees Videos
Ioannis Kontostathis, Evlampios Apostolidis, Vasileios Mezaris
In this paper, we deal with the task of text-driven saliency detection in 360-degrees videos. For this, we introduce the TSV360 dataset which includes 16,000 triplets of ERP frames…
SD-VSum: A Method and Dataset for Script-Driven Video Summarization
Manolis Mylonas, Evlampios Apostolidis, Vasileios Mezaris
In this work, we introduce the task of script-driven video summarization, which aims to produce a summary of the full-length video by selecting the parts that are most relevant to…
Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples
Konstantinos Tsigos, Evlampios Apostolidis, Vasileios Mezaris
In this paper, we introduce the idea of using adversarially-generated samples of the input images that were classified as deepfakes by a detector, to form perturbation masks for in…
A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods
Ioannis Kontostathis, Evlampios Apostolidis, Vasileios Mezaris
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 t…
An Integrated Framework for Multi-Granular Explanation of Video Summarization
Konstantinos Tsigos, Evlampios Apostolidis, Vasileios Mezaris
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 fr…
Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
Konstantinos Tsigos, Evlampios Apostolidis, Spyridon Baxevanakis +2
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 ex…
Facilitating the Production of Well-tailored Video Summaries for Sharing on Social Media
Evlampios Apostolidis, Konstantinos Apostolidis, Vasileios Mezaris
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…
An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos
Ioannis Kontostathis, Evlampios Apostolidis, Vasileios Mezaris
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 a…
Video Summarization Using Deep Neural Networks: A Survey
Evlampios Apostolidis, Eleni Adamantidou, Alexandros I. Metsai +2
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…