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|Type:||Artigo de evento|
|Title:||An Approach To Detect Video Transitions Based On Mathematical Morphology|
|Abstract:||The video segmentation problem can be regarded as a problem of detecting the fundamental video units (shots). Due to different ways of linking two consecutive shots this task turns out to be difficult. In this work, we propose a method to detect both cuts and gradual transitions by image segmentation tools instead of using dissimilarity measures or mathematical models. Firstly, the video is transformed into a 2D image, called visual rhythm by sub-sampling. After-wards, we apply image processing tools to detect all vertical aligned transitions in this image. The main operator applied here is the morphological multi-scale gradient. We also present some experimental results.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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