how to view time left to download in news rover

#How to view time left to download in news rover tv

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#How to view time left to download in news rover tv

Experimental results with a dataset containing 960 annotated news videos from three Brazilian and one American TV newscasts show that our approach achieves an overall accuracy as high as 64.17% in the tension levels classification task. To achieve this goal, we combine audio and visual cues extracted from news participants (e.g., reporters and anchors), by using methods for: (1) emotion recognition from facial expressions, (2) field size estimation and (3) extraction of audio features (e.g., chroma and spectral features), as well as textual cues obtained from the (4) sentiment analysis of the speech transcriptions. To support such a study, our approach estimates tension levels (polarities) along the news narrative, revealing the communication patterns used.

In this context, it is important to study how the news industry affects human life and how it works. The news media constitute a particular type of discourse and has become a central part of the modern-day lives of millions of people. In this paper, we present a novel multimodal approach to estimate tension levels in news videos.