Аннотация

The detection of shot boundaries provides a base for nearly all video abstraction and high-level video segmentation approaches. Therefore solving the problem of shot boundary detection is one of the major prerequisites for revealing higher level video content structure. As a crucial step in video indexing and retrieval, accurate shot boundary detection plays an important role to organize and summarize video content into meaningful shots for further scene analysis. Many algorithms have been proposed for detecting video shot boundaries and classifying shots and shot transition types. In this paper we propose a novel technique for shot boundary detection using radon transform. We first removed the effect of illumination using DCT and DWT. Then shot boundary is detected using radon transform. Radon transform is based on projection of image intensity along a radial line oriented at a specific angle. Projection of image intensity for current frame is different than that of projection of the previous frame, where shot boundary is detected. In order to verify the performance of algorithm, experiments have been carried out with news, documentary and movie. Experimental result demonstrates efficiency of proposed shot boundary detection technique.

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