Research on Automatic Video indexing System Using Adjacent PixelIntensity Difference Quantization

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Video indexing has become an active area of research in recent years because video content becomes commonplace on the web and the size of video database quickly increases due to rapid developments of internet connection and disk storage technology. In this research, we sought to develop an automatic video indexing system for large video database. The adjacent pixel intensity difference quantization (APIDQ) histogram is used as the feature vector in this algorithm. Experimental results show the proposed algorithm can detect the similar video clip more accurately and robust against Gaussian noise than conventional fast video search algorithm.