Searched for: contributor%3A%22Hanjalic%2C+A.+%28promotor%29%22
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Slokom, M. (author)
In the field of machine learning (ML), the goal is to leverage algorithmic models to generate predictions, transforming raw input data into valuable insights. However, the ML pipeline, consisting of input data, models, and output data, is susceptible to various vulnerabilities and attacks. These attacks include re-identification, attribute...
doctoral thesis 2024
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Zou, L. (author)
Communications networks such as opportunistic mobile networks, vehicle networks, and social contact networks can be represented as temporal networks, where two cars or individuals are connected at a discrete time step if they are close to each other or interact with each other at that time step. These networks facilitate the propagation of...
doctoral thesis 2024
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Ceria, A. (author)
The interconnected nature of our daily lives, both virtually and physically, highlights the importance of understanding temporal networks in the context of epidemic and information spread. This dissertation aims to address this challenge by proposing characterization methods for temporal networks. In Chapter 2, the analysis reveals that close...
doctoral thesis 2023
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Li, Roger Zhe (author)
doctoral thesis 2023
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Zhang, T. (author)
Fine-grained emotion recognition is the process of automatically identifying the emotions of users at a fine granularity level, typically in the time intervals of 0.5s to 4s according to the expected duration of emotions. Previous work mainly focused on developing algorithms to recognize only one emotion for a video based on the user feedback...
doctoral thesis 2022
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Kim, Jaehun (author)
Machine learning (ML) has become a core technology for many real-world applications. Modern ML models are applied to unprecedentedly complex and difficult challenges, including very large and subjective problems. For instance, applications towards multimedia understanding have been advanced substantially. Here, it is already prevalent that...
doctoral thesis 2021
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Zhan, X. (author)
As an important carrier of information diffusion, social media has experienced a huge increase in the number of users and also has a big effect on the way of how information diffuses. For example, Facebook and Youtube have attracted more than 1.6 and 1.3 billion users until 2020, respectively. The use of internet and online social network have...
doctoral thesis 2020
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Zhu, Y. (author)
Experience prediction is one key component in today’s multimedia delivery. Knowing user’s viewing experience allows online video service providers (e.g., Netflix, YouTube) to create value for their customers by providing personalized content and service. However, individual experience prediction is a challenging problem since viewing experience ...
doctoral thesis 2019
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Yadati, N.K. (author)
Music consumption has skyrocketed in the past few years with advancements in internet and streaming technologies. This has resulted in the rapid development of the inter-disciplinary field of Music Information Retrieval (MIR), which develops automatic methods to efficiently and effectively access the wealth of musical content. In general,...
doctoral thesis 2019
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Loni, B. (author)
Recommender Systems have become a crucial tool to serve personalized content and to promote online products and media, but also to recommend restaurants, events, news and dating profiles. The underlying algorithms have a significant impact on the quality of recommendations and have been the subject of many studies in the last two decades. In...
doctoral thesis 2018
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Siahaan, E. (author)
Multimedia systems are typically optimized in a way that maximizes users’ satisfaction of using the systems/services. This user satisfaction is what is commonly referred to as Quality of Experience (QoE). For visual media, such as images and videos, the optimization of QoE has meant reducing the visibility of artifacts (e.g. noise or other...
doctoral thesis 2018
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Bazzica, A. (author)
Digital music platforms have recently become the primary revenue stream for recorded music, making record labels and content owners increasingly interested in developing new digital features for their users.<br/>Besides listening to expert-curated playlists and automatically recommended music, users can also benefit from a more informative, non...
doctoral thesis 2017
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Vliegendhart, R. (author)
The twenty-first century has brought plentiful computational power and bandwidth to the masses and has opened up access to multimedia recording devices for everyone. With these developments, a shift in the landscape of multimedia took place: from traditional one-to-many programming (the paradigm of traditional television) to many-to-many...
doctoral thesis 2017
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Qu, B. (author)
In the recent decades, various dynamic process models on complex networks have been built to study the mechanisms by which an opinion, a disease or generally the information spreads in real-world networks. For example, opinion models are developed to illustrate the competition of opinions in a population, and epidemic models are used to describe...
doctoral thesis 2017
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Li, X. (author)
The geo-graphical location at which an image or video was taken is a key piece of multimedia information. Such geo-information has become an indispensable component of systems enabling personalized and context-aware multimedia services. The research reported in this thesis investigates how to automatically derive geo-information from multimedia...
doctoral thesis 2016
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Liem, C.C.S. (author)
Music is a multifaceted phenomenon: beyond addressing our auditory channel, the consumption of music triggers further senses. Also in creating and communicating music, multiple modalities are at play. Next to this, it allows for various ways of interpretation: the same musical piece can be performed in different valid ways, and audiences can in...
doctoral thesis 2015
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Kofler, C. (author)
Over the recent years, user expectations of the ability of video search engines have significantly risen. Users expect video search engines to be useful as an instrument that facilitates communication, education, entertainment and problem solving and, in relation to this, to satisfy diverse information needs. A user's information need is the...
doctoral thesis 2015
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Yang, L. (author)
doctoral thesis 2013
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Shi, Y. (author)
In this thesis we report the results of our research on recommender systems, which addresses some of the critical scientific challenges that still remain open in this domain. Collaborative filtering (CF) is the most common technique of predicting the interests of a user by collecting preference information from many users. In order to determine...
doctoral thesis 2013
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Rudinac, S. (author)
To facilitate finding of relevant information in ever-growing multimedia collections, a number of multimedia information retrieval solutions have been proposed over the past years. The essential element of any such solution is the relevance criterion deployed to select or rank the items from a multimedia collection to be presented to the user....
doctoral thesis 2013
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