Automatic Multimedia Fission, Categorizationand Fusion for Personalized Visualization in.pdf

Automatic Multimedia Fission, Categorizationand Fusion for Personalized Visualization in.pdf

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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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