We describe a baseline system for the VideoCLEF Vid2RSS task. The system uses an unaltered off-the-shelf Information Retrieval system. ASR content is indexed using default stemming and stopping methods. The subject categories are populated by using the category label as a query on the collection, and assigning the retrieved items to that particular category. We describe the results of the system and provide some high-level analysis of its performance. General Terms ASR, IR, Classification Keywords Classification, Information Retrieval, Automatic Speech Recognition
Eamonn Newman, Gareth J. F. Jones