scholarly journals Content-Aware Video Editing in the Temporal Domain

2009 ◽  
pp. 490-499 ◽  
Author(s):  
Kristine Slot ◽  
René Truelsen ◽  
Jon Sporring
Keyword(s):  
Video Editing ◽  
Temporal Domain ◽  
Content Aware

Temporal Domain Difference Based Secondary Background Modeling Algorithm

2020 ◽  
Vol E103.A (2) ◽  
pp. 571-575
Author(s):  
Guowei TENG ◽  
Hao LI ◽  
Zhenglong YANG
Keyword(s):  
Background Modeling ◽  
Temporal Domain ◽  
Modeling Algorithm

Image Seam Carving Based On Content Aware Resizing By Gradient Method

2016 ◽  
pp. 25
Author(s):  
مثيل عماد الدين ◽  
رنا محمد حسن
Keyword(s):  
Gradient Method ◽  
Seam Carving ◽  
Content Aware

Content-Aware Image Resizing Based on Hybrid Energy

2010 ◽  
Vol 33 (10) ◽  
pp. 2015-2021
Author(s):  
Li-Xing LEI
Keyword(s):  
Image Resizing ◽  
Hybrid Energy ◽  
Content Aware

Context and Content Aware Routing of Managed Information Objects

2014 ◽  
Author(s):  
Sartaj Sahni
Keyword(s):  
Content Aware ◽  
Information Objects

Boosting Dark Images Using Content-Aware Algorithm through Channel Division

2013 ◽  
Author(s):  
M. Balasaraswathi ◽  
A. Yasmin ◽  
P. Vedasundaravinayagam ◽  
V. Nagarajan
Keyword(s):  
Content Aware

Aspect and space

2017 ◽  
Author(s):  
Lucas Champollion
Keyword(s):  
Spatial Domain ◽  
The Other ◽  
Alternative View ◽  
Temporal Domain ◽  
Spatial Aspect ◽  
Temporal Aspect ◽  
The Way

This chapter models the relation between temporal aspect (run for an hour vs. *run all the way to the store for an hour) and spatial aspect (meander for a mile vs. *end for a mile) previously discussed by Gawron (2009). The chapter shows that for-adverbials impose analogous conditions on the spatial domain and on the temporal domain, and that an event may satisfy stratified reference with respect to one of the domains without satisfying it with respect to the other one as well. This provides the means to extend the telic-atelic opposition to the spatial domain. The chapter argues in some detail that stratified reference is in this respect empirically superior to an alternative view of telicity based on divisive reference (Krifka 1998).

scholarly journals Echo chamber detection and analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giacomo Villa ◽  
Gabriella Pasi ◽  
Marco Viviani
Keyword(s):  
Social Media ◽  
Community Detection ◽  
Virtual Communities ◽  
Selective Exposure ◽  
Social Needs ◽  
News Sources ◽  
Detection Strategy ◽  
Echo Chambers ◽  
Echo Chamber ◽  
Content Aware

AbstractSocial media allow to fulfill perceived social needs such as connecting with friends or other individuals with similar interests into virtual communities; they have also become essential as news sources, microblogging platforms, in particular, in a variety of contexts including that of health. However, due to the homophily property and selective exposure to information, social media have the tendency to create distinct groups of individuals whose ideas are highly polarized around certain topics. In these groups, a.k.a. echo chambers, people only "hear their own voice,” and divergent visions are no longer taken into account. This article focuses on the study of the echo chamber phenomenon in the context of the COVID-19 pandemic, by considering both the relationships connecting individuals and semantic aspects related to the content they share over Twitter. To this aim, we propose an approach based on the application of a community detection strategy to distinct topology- and content-aware representations of the COVID-19 conversation graph. Then, we assess and analyze the controversy and homogeneity among the different polarized groups obtained. The evaluations of the approach are carried out on a dataset of tweets related to COVID-19 collected between January and March 2020.

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