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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...
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PraK Tool: An Interactive Search Tool Based on Video Data Services
This paper presents a tool relying on data service architecture, where technical details of all VBS datasets are completely hidden behind an abstract...
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Using Saliency and Crop** to Improve Video Memorability
Video memorability is a measure of how likely a particular video is to be remembered by a viewer when that viewer has no emotional connection with...
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From Skulls to Faces: A Deep Generative Framework for Realistic 3D Craniofacial Reconstruction
The shape of the human face is largely determined by the underlying skull morphology. Craniofacial reconstruction (CfR), or the process of...
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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...
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A Detail-Guided Multi-source Fusion Network for Remote Sensing Object Detection
Optical and synthetic aperture radar (SAR) remote sensing have established themselves as valuable tools for object detection. Optical images exhibit...
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Book Summary
This chapter presents the overall summary of the book. It highlights the characteristics, importance, and key points of the book.
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Aragón Open Data Assistant, Lesson Learned of an Intelligent Assistant for Open Data Access
Chatbots are becoming more popular on websites. To ensure their widespread adoption and effectiveness, it is crucial that the development of these...
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Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational Thinking
Computational thinking, and by extension, computer programming, is notoriously challenging to learn. Conversational agents and generative artificial...
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Voting Assistant Chatbot for Increasing Voter Turnout at Local Elections: An Exploratory Study
Local Dutch elections suffer from a voter turnout decrease with 23% between 1986 and 2022. This raises general quality concerns about the local...
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Systeme für skalierbares Datenmanagement
Unabhängig von der serverseitigen Architektur ist das skalierbare Datenmanagement die primäre Herausforderung für hohe Leistung. Geschäfts- und...
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HTTP für global verteilte Anwendungen
Für jede verteilte Anwendung spielt das Netzwerk eine bedeutende Rolle für die Leistung. Im Web ist das zentrale Protokoll HTTP (Hypertext Transfer...
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A Novel Semi-supervised IoT Time Series Anomaly Detection Model Using Graph Structure Learning
Internet of Things (IoT) is an evolving paradigm for building smart cross-industry. The data gathered from IoT devices may have anomalies or other...
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A Multi-Agent Deep Reinforcement Learning-Based Approach to Mobility-Aware Caching
Mobile Edge Computing (MEC) is a technology that enables on-demand the provision of computing and storage services as close to the user as possible....
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FedECCR: Federated Learning Method with Encoding Comparison and Classification Rectification
Federated learning is a distributed training method that integrates multi-party data information using privacy-preserving technologies through...
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A Novel Topology Metric for Indoor Point Cloud SLAM Based on Plane Detection Optimization
Accurate self-localization and navigation in complex indoor environments are essential functions for the intelligent robots. However, the existing...
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Handwritten Text Recognition and Browsing in Archive of Prisoners’ Letters from Smolensk Convict Prison
The task of creating a prototype navigation system for a small archive of historical documents (letters from prisoners of the Smo- lensk convict...
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Delay-Constrained Multicast Throughput Maximization in MEC Networks for High-Speed Railways
Multi-access Edge Computing presents a compelling solution for delivering seamless connectivity to computing services. In this study, we aim to...
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DT-MUSA: Dual Transfer Driven Multi-source Domain Adaptation for WEEE Reverse Logistics Return Prediction
Reverse logistics (RL) return prediction for Waste Electrical and Electronic Equipment (WEEE) has gained attention due to its potential to improve...
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Static, Dynamic, or Contextualized: What is the Best Approach for Discovering Semantic Shifts in Russian Media?
This paper is focused on discovering diachronic semantic shifts in Russian news and social media using different embedding methods. Namely, in our...