Spectrum-based fault localization shortens the test-diagnose-repair cycle by reducing the
debugging effort. As a light-weight automated diagnosis technique it can easily be …

Interactive TV research spans across a rather diverse body of scientific subfields. Research
articles have appeared in several venues, such as multimedia, HCI, CSCW, UIST, user …

Many soccer fans prefer to watch a summary of football games as watching a whole soccer
match needs a lot of time. Traditionally, soccer videos were analyzed manually, however this …

In order to make good strategies, soccer coaches analyze the archives of matches, which
can be effectively considered as a set of trajectories. We can extract several useful …

This paper presents a machine learning (ML) based event detection and summarization
system for soccer matches. The proposed system is composed of six phases. Firstly, in the …

We propose an automatic soccer video summarization engine which relies on an improved
algorithm for the detection of replay shots which delineate interesting events. Video shots …

In this paper, we propose a system for soccer video summarization using support vector
machine (SVM). The proposed system initially segments the whole video stream into small …

More and more football fans prefer to watch football highlights because it takes too much
time to watch the entire football game. At the same time, many TV stations and sports …

The massive growth of audiences eager for sport content has substantially increased
workers' demand in this profitable segment. Highlight identification is vital for summarizing …

This doctoral dissertation aims to investigate user interface (UI) design, implementation and
evaluation for interactive television (ITV) applications. Computer mediated entertainment (eg …