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Large video sets often contain a vast number of near-duplicate video sequences (e.g. recordings of music concerts, sport and social events). Various approaches exist that make use of low-level features and compact signature representations.
The aim of this work is to compare state-of-the art methods for near-duplicate video detection and to explore the degree of supported visual similarity (e.g. different view angle, editing). Platform: MATLAB.