Title :
CBCD based on color features and landmark MDS-assisted distance estimation
Author :
Corvaglia, M. ; Guerrini, F. ; Leonardi, R. ; Migliorati, P. ; Ross, E.
Author_Institution :
DEA-SCL, Univ. of Brescia, Brescia, Italy
Abstract :
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.
Keywords :
computational complexity; content-based retrieval; copy protection; feature extraction; image colour analysis; video databases; video signal processing; CBCD; MPEG video signature core experiment conditions; MPEG-7 dominant color descriptor; color features; computational complexity; content-based copy detection; digital videos; feature extraction; landmark MDS-assisted distance estimation; landmark based multidimensional scaling technique; online video databases; video transformations; Content based retrieval; Data mining; Discrete cosine transforms; Feature extraction; Fingerprint recognition; Internet; Robustness; Spatial databases; Videos; Watermarking; Content-Based Copy Detection; Dominant Color; Earth Mover´s Distance; Multi-Dimensional Scaling;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5496155