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Scene similarity measure for video content segmentation in the framework of a rough indexing paradigm

✍ Scribed by Petra Krämer; Jenny Benois-Pineau; Jean-Philippe Domenger


Publisher
John Wiley and Sons
Year
2006
Tongue
English
Weight
208 KB
Volume
21
Category
Article
ISSN
0884-8173

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✦ Synopsis


This article presents a scene similarity measure for video content segmentation. In the context of the rough indexing paradigm, we extract only partial information from MPEG compressed streams to measure the similarity of video frames through time. The similarity measure of I-Frames is defined based on motion compensation of DC images and local contrast computation. The method allows a real-time segmentation of the video content.