In this work, we aim at automatically labeling actors in a TV series. Rather than relying on transcripts and subtitles, as has been demonstrated in the past, we show how to achieve this goal starting from a set of example images of each of the main actors involved, collected from the Internet Movie Database (IMDB). The problem then becomes one of domain adaptation: actors’ IMDB photos are typic...

Tensor voting (TV) methods have been developed in a series of papers by Medioni and coworkers during the last years. The method has been proved efficient for feature extraction and grouping and has been applied successfully in a diversity of applications such as contour and surface inferences, motion analysis, etc. We present here two studies on improvements of the method. The first one consist...

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...

This study examines the content and presentation of food and drink on fictional, commercial television. It provides the first comparison of food and drink consumption across different television program genres designated for different age groups. Data originated with a random sample of 50 taped episodes of children's shows, 50 episodes of "tween" programs (shows targeted for 9- to 14-year-olds)...