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

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

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Page 1: Exploring the news | Always multi- source, multimodal and personalized

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

News Rover

Page 2: Exploring the news | Always multi- source, multimodal and personalized

The News Today

Page 3: Exploring the news | Always multi- source, multimodal and personalized

The News Today

Page 4: Exploring the news | Always multi- source, multimodal and personalized

The News Today

Page 5: Exploring the news | Always multi- source, multimodal and personalized

The News Today

Page 6: Exploring the news | Always multi- source, multimodal and personalized

The News Today

Page 7: Exploring the news | Always multi- source, multimodal and personalized

The News Today

Page 8: Exploring the news | Always multi- source, multimodal and personalized

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

sportspoliticstechsports economicspolitics

Heterogeneous Large-scale Often Isolated

Page 10: Exploring the news | Always multi- source, multimodal and personalized

NewsRover Live Recording System

100 TV channels recorded continuously

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

Navigating the News with StructureW

hen

?W

ho

?W

hat

?W

her

e?

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

Multimodal Topic Extraction & Linking

Page 13: Exploring the news | Always multi- source, multimodal and personalized

Who Said What? in VideoFeatu

re

Mod

es

Audiotrack:

Segmentation:

Speech Segmentation

Visual Speaker Detection

Speaker Gender Classification

Face Tracking & Clustering

Segmented Audiotrack:

Text

Vis

ua

lA

ud

io

Anchor Detection

Name Extraction from Aligned CC-ASR

Name Extraction from OCR

Name Gender Classification

Speaker Diarization

Ed

it D

ista

nce

A

lign

men

t

Male GMM

Female GMM

MFC

C

Cla

ssifi

er

Gen

der

Page 14: Exploring the news | Always multi- source, multimodal and personalized

New york times -> search

Shih-Fu Chang, 11/2011

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