Computing visual correspondence with occlusions using graph cuts

V Kolmogorov, R Zabih - Proceedings Eighth IEEE International …, 2001 - ieeexplore.ieee.org
Several new algorithms for visual correspondence based on graph cuts have recently been
developed. While these methods give very strong results in practice, they do not handle …

Second screen and participation: A content analysis on a full season dataset of tweets

F Giglietto, D Selva - Journal of communication, 2014 - academic.oup.com
The practice of using a “second screen” while following a television program is quickly
becoming a widespread phenomenon. When the secondary device is used for comments …

Leveraging big data for sustaining open innovation: The case of social TV

A Fortunato, M Gorgoglione… - Information Systems …, 2017 - Taylor & Francis
The concepts of open innovation and big data have been largely explored, but little research
focused on the use of big data for open innovation activities. We explore how big data …

Hybrid spaces of politics: The 2013 general elections in Italy, between talk shows and Twitter

L Iannelli, F Giglietto - Information, Communication & Society, 2015 - Taylor & Francis
This article analyses the relationship between mediated politics and participation, adopting
a hybrid approach that stresses the connections between older and newer media. The study …

Understanding engagement and willingness to speak up in social television: a full-season, cross-genre analysis of tv audience participation on Twitter

F Giglietto, GB Artieri, L Gemini, M Orefice - International Journal of …, 2016 - ijoc.org
The widespread use of digital platforms has changed the way people watch television.
Despite an abundance of empirical studies, full-season, cross-genre analyses of different TV …

Automatic labeling of training data for collecting tweets for ambiguous tv program titles

M Erdmann, E Ward, K Ikeda, G Hattori… - … on Social Computing, 2013 - ieeexplore.ieee.org
Twitter is a popular medium for sharing opinions on TV programs, and the analysis of TV
related tweets is attracting a lot of interest. However, when collecting all tweets containing a …

Detection of important scenes in baseball videos via bidirectional time lag aware deep multiset canonical correlation analysis

K Hirasawa, K Maeda, T Ogawa, M Haseyama - IEEE Access, 2021 - ieeexplore.ieee.org
A novel method for detection of important scenes in baseball videos based on correlation
maximization between heterogeneous modalities via bidirectional time lag aware deep …

Important scene detection of baseball videos via time-lag aware deep multiset canonical correlation maximization

K Hirasawa, K Maeda, T Ogawa… - … Conference on Image …, 2020 - ieeexplore.ieee.org
This paper presents a new important scene detection method of baseball videos based on
correlation maximization between heterogeneous modalities via time-lag aware deep …

Detecting tv program highlight scenes using twitter data classified by twitter user behavior and evaluating it to soccer game tv programs

T Hayama - IEICE TRANSACTIONS on Information and Systems, 2018 - search.ieice.org
This paper presents a novel TV event detection method for automatically generating TV
program digests by using Twitter data. Previous studies of TV program digest generation …

[HTML][HTML] Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder

K Hirasawa, K Maeda, T Ogawa, M Haseyama - Sensors, 2021 - mdpi.com
A new method for the detection of important scenes in baseball videos via a time-lag-aware
multimodal variational autoencoder (Tl-MVAE) is presented in this paper. Tl-MVAE estimates …