Identificação de transições em vídeo baseada na análise de imagens 2D

Abstract

The video segmentation problem consists in the identification of the boundary between consecutive shots in a video sequence. The common approach to solve this problem is based on the computation of dissimilarity measures between frames. In this work, the video segmentation problem is transformed into a problem of pattern detection, where each video event is represented by a dierent pattern on a 2D spatio-temporal image, called visual rhythm. To cope with this problem, we consider basically morphological and topological tools that we use in order to identify the specific patterns that are related to video events such as cuts, fades, dissolves and flashes. To compare dierent methodswe define two new measures, the robustness and the gamma measures. In general, the proposed methods present the quality measures better than the other methods used to comparison.