MultiMedia Modeling
27th International Conference, MMM 2021, Prague, Czech Republic, June 22–24, 2021, Proceedings, Part II
Page
%P
-
Article
Open AccessAI and data-driven media analysis of TV content for optimised digital content marketing
To optimise digital content marketing for broadcasters, the Horizon 2020 funded ReTV project developed an end-to-end process termed “Trans-Vector Publishing” and made it accessible through a Web-based tool ter...
-
Chapter and Conference Paper
Exploiting LMM-Based Knowledge for Image Classification Tasks
In this paper we address image classification tasks leveraging knowledge encoded in Large Multimodal Models (LMMs). More specifically, we use the MiniGPT-4 model to extract semantic descriptions for the images...
-
Chapter and Conference Paper
VERGE in VBS 2024
This paper presents VERGE, an interactive video content retrieval system designed for browsing a collection of images extracted from videos and conducting targeted content searches. VERGE incorporates a variet...
-
Chapter and Conference Paper
Facilitating the Production of Well-Tailored Video Summaries for Sharing on Social Media
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 summarizati...
-
Chapter and Conference Paper
An Integrated System for Spatio-temporal Summarization of 360-Degrees Videos
In this work, we present an integrated system for spatio-temporal summarization of 360-degrees videos. The video summary production involves the detection of salient events in the 360-degrees videos, and their...
-
Chapter and Conference Paper
Exploring Multi-modal Fusion for Image Manipulation Detection and Localization
Recent image manipulation localization and detection techniques usually leverage forensic artifacts and traces that are produced by a noise-sensitive filter, such as SRM and Bayar convolution. In this paper, w...
-
Chapter and Conference Paper
VERGE in VBS 2023
This paper describes VERGE, an interactive video retrieval system for browsing a collection of images from videos and searching for specific content. The system utilizes many retrieval techniques as well as fu...
-
Chapter and Conference Paper
Are All Combinations Equal? Combining Textual and Visual Features with Multiple Space Learning for Text-Based Video Retrieval
In this paper we tackle the cross-modal video retrieval problem and, more specifically, we focus on text-to-video retrieval. We investigate how to optimally combine multiple diverse textual and visual features...
-
Chapter and Conference Paper
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism
In this paper two new learning-based eXplainable AI (XAI) methods for deep convolutional neural network (DCNN) image classifiers, called L-CAM-Fm and L-CAM-Img, are proposed. Both methods use an attention mech...
-
Article
Special issue on data-driven personalisation of television content
-
Article
Data-driven personalisation of television content: a survey
This survey considers the vision of TV broadcasting where content is personalised and personalisation is data-driven, looks at the AI and data technologies making this possible and surveys the current uptake a...
-
Chapter and Conference Paper
VERGE in VBS 2022
This paper presents VERGE, an interactive video search engine that integrates multiple retrieval methodologies and also combines them with reranking and fusion techniques. Moreover, a user interface, implement...
-
Book and Conference Proceedings
-
Chapter
MOVING: A User-Centric Platform for Online Literacy Training and Learning
In this paper, we present an overview of the MOVING platform, a user-driven approach that enables young researchers, decision makers, and public administrators to use machine learning and data mining tools to ...
-
Chapter and Conference Paper
VERGE in VBS 2021
This paper presents VERGE, an interactive video search engine that supports efficient browsing and searching into a collection of images or videos. The framework involves a variety of retrieval approaches as w...
-
Chapter and Conference Paper
Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content
Migration, and especially irregular migration, is a critical issue for border agencies and society in general. Migration-related situations and decisions are influenced by various factors, including the percep...
-
Chapter and Conference Paper
The AI4Media Project: Use of Next-Generation Artificial Intelligence Technologies for Media Sector Applications
Artificial Intelligence brings exciting innovations in all aspects of life and creates new opportunities across industry sectors. At the same time, it raises significant questions in terms of trust, ethics, an...
-
Book and Conference Proceedings
MultiMedia Modeling
27th International Conference, MMM 2021, Prague, Czech Republic, June 22–24, 2021, Proceedings, Part I
-
Chapter and Conference Paper
VERGE in VBS 2020
This paper demonstrates VERGE, an interactive video retrieval engine for browsing a collection of images or videos and searching for specific content. The engine integrates a multitude of retrieval methodologi...
-
Chapter and Conference Paper
Unsupervised Video Summarization via Attention-Driven Adversarial Learning
This paper presents a new video summarization approach that integrates an attention mechanism to identify the significant parts of the video, and is trained unsupervisingly via generative adversarial learning....
