Vasileios Mezaris – författare

The two-volume set LNCS 11295 and 11296 constitutes the thoroughly refereed proceedings of the 25th International Conference on MultiMedia Modeling, MMM 2019, held in Thessaloniki, Greece, in January 2019.Of the 172 submitted full papers, 49 were selected for oral presentation and 47 for poster presentation; in addition, 6 demonstration papers, 5 industry papers, 6 workshop papers, and 6 papers for the Video Browser Showdown 2019 were accepted. All papers presented were carefully reviewed and selected from 204 submissions.

The two-volume set LNCS 11295 and 11296 constitutes the thoroughly refereed proceedings of the 25th International Conference on MultiMedia Modeling, MMM 2019, held in Thessaloniki, Greece, in January 2019.Of the 172 submitted full papers, 49 were selected for oral presentation and 47 for poster presentation; in addition, 6 demonstration papers, 5 industry papers, 6 workshop papers, and 6 papers for the Video Browser Showdown 2019 were accepted. All papers presented were carefully reviewed and selected from 204 submissions.

This unique text/reference advocates a novel forgetful approach to dealing with personal multimedia content in the long run, which is inspired by the effectiveness of human forgetting as a mechanism for helping us to stay focused on important things. The text presents theoretical foundations, technologies, applications, and case study results that help the reader to understand the problems and challenges associated with personal digital preservation, and the solutions that can be developed in response to these challenges.Topics and features: Highlights the value of an intelligent and selective approach to personal multimedia preservation, involving managed forgetting and contextualized remembering; considers how a conceptual understanding of human memory function can be used to inspire the design of digital managed preservation and forgetting; discusses methods that endow computers with capabilities to understand digital content, in order to support intelligent preservation decisions; examines the assessment of the importance of information items, introducing the concepts of memory buoyancy and preservation value; reviews methods for preserving the context associated with a digital item, and for assessing how this context evolves over time; proposes a reference model for the Preserve-or-Forget (PoF) approach which is integrative, value-driven, brain-inspired, forgetful, and evolution-aware; describes the integration of preservation functionalities in a Personal Information Management (PIM) application; presents a user study on a photo selection task, using the results to design methods for automatically selecting important photos from personal collections.This interdisciplinary volume provides significant insights from computer science, engineering and psychology that will be of great interest to researchers involved in multimedia and software engineering, multimedia preservation, cultural informatics, digital heritage, and the digital humanities.

The digital media revolution is bringing breaking news to online video platforms, and news organizations often rely on user-generated recordings of new and developing events shared in social media to illustrate the story.

The digital media revolution is bringing breaking news to online video platforms, and news organizations often rely on user-generated recordings of new and developing events shared in social media to illustrate the story.

The two-volume set LNCS 12572 and 1273 constitutes the thoroughly refereed proceedings of the 27th International Conference on MultiMedia Modeling, MMM 2021, held in Prague, Czech Republic, in June2021. Of the 211 submitted regular papers, 40 papers were selected for oral presentation and 33 for poster presentation;

The two-volume set LNCS 12572 and 1273 constitutes the thoroughly refereed proceedings of the 27th International Conference on MultiMedia Modeling, MMM 2021, held in Prague, Czech Republic, in June2021. Of the 211 submitted regular papers, 40 papers were selected for oral presentation and 33 for poster presentation;

This book offers a timely and comprehensive exploration of how generative AI technologies are reshaping the landscape of online disinformation, dramatically lowering the barriers to creating realistic synthetic text, imagery, and audio at scale. While online disinformation has long challenged societies and individuals, the acceleration of generative AI has intensified these risks, making traditional detection and protection measures increasingly inadequate. In response, researchers are developing advanced AI-driven tools and methods to detect, mitigate, and study the rapidly evolving tactics of disinformation campaigns, with emphasis on algorithmic detection, media verification, and the broader implications for information integrity.Countering Disinformation in the Era of Generative AI brings together leading experts to present both recent misuse cases — such as synthetic media in political manipulation and AI-generated false narratives — and state-of-the-art countermeasures, including trustworthy AI solutions co-created with media professionals. The book features thorough coverage of emerging methods for detecting disinformation and synthetic media and analyzing online information environments to. Drawing upon interdisciplinary research and large-scale initiatives such as the Horizon Europe vera.ai project, this volume addresses the needs of diverse stakeholders — from researchers and journalists to policymakers — offering not only technical depth for specialists, but also an accessible overview of the latest advances in AI-powered disinformation defense.