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Automatic Multimedia Fission, Categorizationand Fusion for Personalized Visualization in
Automatic Multimedia Fission, Categorization
and Fusion for Personalized Visualization in
Multimedia Information Retrieval
供個人化資料撿索的自動化多媒體分拆、
歸類及融合技術
PI: Helen Meng
Progress Summary for
Shun Hing Institute for Advanced Engineering
The Chinese University of Hong Kong
March 7, 2006
2
Objectives
? Long-term challenge: Automatic organization of massive
amounts of multimedia content to facilitate browsing and
retrieval by users
? Research issues
– Multimedia fission – division / extraction of information
constituents at various levels of granularity, e.g. stories / topics
paragraphs, images, key terms, etc.
– Multimedia categorization – classification according to semantic
content
– Multimedia fusion – regroup information constituents to facilitate
information presentation to the user in relevant forms
3Progress to date
? Multimedia Fission
– Automatic story segmentation based on pause duration
– Automatic named entity extraction from Chinese speech
recognition transcripts
? Multimedia Fusion
– Web-derived answer patterns for fusing information constituents
? Multimedia data collection
– Web news text and television news broadcasts
– Automatic organization of online news text and images
Manpower: 1 research associate, 1 research assistant (part year),
1 research assistant professor (half year)
4
Automatic Audio News Story Segmentation
Story Boundary
Detection
Audio/video
News
Programs
Story
Segmentation
Audio
Extraction
Speech
Recognition
Segmented
Audio/video
News
Programs
Initial approach:
use of audio pauses
Multimedia Fission, Fusion, Data Collection
5Experimental Corpus
Oct – Dec May – JuneFeb – Apr Periodsumber of programs
EvaluationDevelopmentTraining
TDT3TDT2
Data Distribution
GB encoded Chinese charactersTranscription and ASR output
1998Published Year
Radio News BroadcastsNature
MandarinLanguage
Voice of America (VOA)Source
Topic Detection and Tracking Corpus (from Linguistic Data Consoritum)
Multimedia Fission, Fusion, Data Collect
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