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Exploring the news | Always multi-source, multimodal and personalized News Rover

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News Rover. Exploring the news | Always multi-source, multimodal and personalized. The News Today. The News Today. The News Today. The News Today. The News Today. The News Today. Trends and Statistics. News consumption is moving online Advantages: Access on any device - PowerPoint PPT Presentation

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Page 1: News Rover

Exploring the news | Always multi-source, multimodal and personalized

News Rover

Page 2: News Rover

The News Today

Page 3: News Rover

The News Today

Page 4: News Rover

The News Today

Page 5: News Rover

The News Today

Page 6: News Rover

The News Today

Page 7: News Rover

The News Today

Page 8: News Rover

Trends and StatisticsNews consumption is moving online

Advantages:• Access on any device• Available any time, any

place• Find related content

Where did you get your news yesterday?

Source: PEW RESEARCH CENTER 2012 News Consumption Survey

Page 9: News Rover

sportspoliticstechsports economicspolitics

Heterogeneous Large-scale Often Isolated

Page 10: News Rover

NewsRover Live Recording System

100 TV channels recorded continuouslyLinked to Online News and Twitter topics

Per day:• 110 hours video recorded• 1,380 video stories indexed• 460 Google News topics crawled• 550 Twitter topics crawled

• Total size:– 28,000 hours video

recorded– 464,000 video stories– 24,500 News topics– 80,000 Twitter topics

Page 11: News Rover

Navigating the News with StructureW

hen?

Who

?W

hat?

Whe

re?

‘Same-sex Marriage’ ‘France/Mali’ conflict

‘Debt Limit’

Topical Organization

‘Cong. Budget Office’ ‘Consumer Debt’

Coverage Trendline

Event Geo-visualization

Name Extraction & Normalization

Page 12: News Rover

Multimodal Topic Extraction & Linking

Page 13: News Rover

Who Said What? in VideoFe

atur

e M

odes

Audiotrack:

Segmentation:

Speech Segmentation

Visual Speaker Detection

Speaker Gender Classification

Face Tracking & Clustering

Segmented Audiotrack:

Text

Visu

al

Aud

io

Anchor Detection

Name Extraction from Aligned CC-ASR

Name Extraction from OCR

Name Gender Classification

Speaker Diarization

Edit

Dist

ance

Al

ignm

ent

Male GMM

Female GMM

MFC

C

Clas

sifier

Gend

er

Page 14: News Rover

New york times -> search

Shih-Fu Chang, 11/2011

Read, Tag and Search