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Video indexing and retrieval systems allow users to find relevant video segments for a given information need. A multimodal video index may include speech indices, a text-from-screen (OCR) index, semantic visual concepts, content-based image features, audio features and more. Formulating an efficient multimodal query for a given information need is much less intuitive and more challenging for the user than of composing a text query in document search. This paper describes a video retrievaldoi:10.1145/1101826.1101832 dblp:conf/mir/AmirBP05 fatcat:2qjf3x2xzbfyjii552ceuxu4dm