Research on Fast Video Copy Detection for Copyright Protection Using Adjacent Pixel Intensity Difference Quantization

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In order to prevent unauthorized use of digital contents such as video on the Internet, fast and accurate techniques which can detect illegal video copies from large video databases are strongly required in recent years. In conventional algorithm, normalized intensity features of the frame image are used, so the results may be sensitive to small change of luminance and motion in the frame. In this research, we present a fast and robust search algorithm for copy detection using a new feature based on the Adjacent Pixel Intensity Difference Quantization (APIDQ)algorithm. Because such a feature is compatible with active search algorithm, fast search speed can also be achieved by combining APIDQ and active search. Experimental results show the proposed algorithm can detect the similar copy video clip more accurately and robust than conventional fast video search algorithm.