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ICASSP
2010
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CBCD based on color features and landmark MDS-assisted distance estimation

9 years 4 months ago
CBCD based on color features and landmark MDS-assisted distance estimation
Content-Based Copy Detection (CBCD) of digital videos is an important research field that aims at the identification of modified copies of an original clip, e.g., on the Internet. In this application, the video content is uniquely identified by the content itself, by extracting some compact features that are robust to a certain set of video transformations. Given the huge amount of data present in online video databases, the computational complexity of the feature extraction and comparison is a very important issue. In this paper, a landmark based multi-dimensional scaling technique is proposed to speed up the detection procedure which is based on exhaustive search and the MPEG-7 Dominant Color Descriptor. The method is evaluated under the MPEG Video Signature Core Experiment conditions, and simulation results show impressive time savings at the cost of a slightly reduced detection performance.
Marzia Corvaglia, Fabrizio Guerrini, Riccardo Leon
Added 26 Jan 2011
Updated 26 Jan 2011
Type Journal
Year 2010
Where ICASSP
Authors Marzia Corvaglia, Fabrizio Guerrini, Riccardo Leonardi, Pierangelo Migliorati, Eliana Rossi
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