We introduce a new dataset built around two TV series from different genres, The Big Bang Theory, a situation comedy and Game of Thrones, a fantasy drama. The dataset has multiple tracks extracted from diverse sources, including dialogue (manual and automatic transcripts, multilingual subtitles), crowd-sourced textual descriptions (brief episode summaries, longer episode outlines) and various m...

We propose a non-local cost aggregation algorithm to recognize the identity of face and person tracks in a TV-series. In our approach, the fundamental element for identification is a track node, which is built on top of face and person tracks. Track nodes with temporal dependency are grouped into a knot. These knots then serve as the basic units in the construction of a k-knot graph for explori...

Though radio and TV broadcast are highly structured documents, state-of-the-art speaker identification algorithms do not take advantage of this information to improve prediction performance: speech turns are usually identified independently from each other, using unstructured multi-class classification approaches. In this work, we propose to address speaker identification as a sequence labeling...

What is TV or television? My definition of TV is as follows. 1. Content is pushed to the audience based on the preference of channels. 2. Content is presented in an audiovisual form. 3. Content is presented as the series of programs in the form of time division rather than space division. TV, or television, literally means visual information sent from a remote station. The architecture of TV ha...

Abstract This article reports on a reality TV series, Sweden’s best employment service , broadcast Swedish public television in 2018. The purpose was to investigate ongoing political transformations the welfare model. series focuses not only unemployment, unemployed and their life situation but more specifically organisation of Public Employment Service (PES) as reflected at local PES office. I...

Many university lecturers have integrated feature films and television series (FF/TV) into their lessons to improve student engagement. Although film in teaching might seem like a well-established practice, it is reliant on range of fast-changing technologies effectively integrate FF/TV instruction, learning activities assessments. This study utilises the Technological Pedagogical Content Knowl...