منابع مشابه
TV or not TV? That is the Question
Iterative reconstruction methods with regularization become more and more popular. In the literature, amazing results are reported that are able to reconstruct images from very few views and from trajectories that do not acquire complete data sets such as would be required for analytical reconstruction methods. A large disadvantage of iterative methods is their high computational demand. Bruder...
متن کاملUnsupervised Text Recap Extraction for TV Series
Sequences found at the beginning of TV shows help the audience absorb the essence of previous episodes, and grab their attention with upcoming plots. In this paper, we propose a novel task, text recap extraction. Compared with conventional summarization, text recap extraction captures the duality of summarization and plot contingency between adjacent episodes. We present a new dataset, TVRecap,...
متن کاملTVD: A Reproducible and Multiply Aligned TV Series Dataset
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...
متن کاملModeling Periodic Impulsive Effects on Online TV Series Diffusion
BACKGROUND Online broadcasting substantially affects the production, distribution, and profit of TV series. In addition, online word-of-mouth significantly affects the diffusion of TV series. Because on-demand streaming rates are the most important factor that influences the earnings of online video suppliers, streaming statistics and forecasting trends are valuable. In this paper, we investiga...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: AM Journal of Art and Media Studies
سال: 2018
ISSN: 2406-1654,2217-9666
DOI: 10.25038/am.v0i17.282