Hierarchical motion analysis for fast summarisation of scalable coded video

Abstract

Due to a high demand for efficient video summarisation and video adaptation technologies, this paper focuses on utilisation of compressed domain feature extraction and hierarchical analysis of motion information in scalable video in order to generate intuitive visual summaries. By combining the analysis of inherently hierarchical motion activity measure and a fast geometrical curve simplification algorithm, a set of the most representative key-frames is generated in a very fast and robust manner. The experimental results show good subjective representation, while the method efficiency enables fast generation of summaries of large-scale video repositories.

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