A new paradigm for analysis of MPEG compressed videos
Journal of Network and Computer Applications
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The increasing use of multimedia streams nowadays necessitates the development of efficient and effective methodologies for manipulating databases storing these streams. Content-based access to multimedia databases requires in its first stage to parse the video stream into separate shots. This work proposes a new paradigm capable of detecting scene changes on compressed MPEG video data directly. At first, an abstract representation of the compressed video stream is extracted then it is used as input to a Neural Network Module that performs the shot detection task. Experimental results show the efficiency and robustness of the proposed system in detecting shot boundaries and flashlights occurring within shots