Overview of VideoCLEF 2009: New Perspectives on Speech-Based Multimedia Content Enrichment

VideoCLEF 2009 offered three tasks related to enriching video content for improved multimedia access in a multilingual environment. For each task, video data (Dutch-language television, predominantly documentaries) accompanied by speech recognition transcripts were provided. The Subject Classification Task involved automatic tagging of videos with subject theme labels. The best performance was achieved by approaching subject tagging as an information retrieval task and using both speech recognition transcripts and archival metadata. Alternatively, classifiers were trained using either the training data provided or data collected from Wikipedia or via general Web search. The Affect Task involved detecting narrative peaks, defined as points where viewers perceive heightened dramatic tension. The task was carried out on the "Beeldenstorm" collection containing 45 short-form documentaries on the visual arts. The best runs exploited affective vocabulary and audience directed spee...

• Type: Journal
• Year: 2009
• Where: CLEF
• Authors: Martha Larson, Eamonn Newman, Gareth J. F. Jones
• Keywords: CLEF 2009, Information Retrieval Task, Information Technology, Subject Classification Task, Subject Theme Labels