DocumentCode :
3177687
Title :
Spatio temporal key-point detection and video representation in 3D complex wavelet domain
Author :
Lakshmi, A. ; Rakshit, Subrata
Author_Institution :
Centre for Artificial Intell. & Robot., DRDO, Bangalore, India
fYear :
2012
fDate :
22-25 July 2012
Firstpage :
1
Lastpage :
5
Abstract :
Technology advances in information technology has been evolving for a long time. With this, the need for effective retrieval of video data has increased manifold. In this paper, we propose spatio temporal key-point based approach for content based video retrieval (CBVR). The proposed framework characterizes videos based on spatio temporal key-points. Most of the existing approaches extract key-points from static video frames, while little work has been done on spatio-temporal key-points. We present a new spatio temporal key-point detector and descriptor using 3D complex wavelet transform. Detected key-points are converted to spatio temporal features to represent videos. Results of empirical analysis are provided to substantiate the retrieving capability of the proposed framework.
Keywords :
content-based retrieval; feature extraction; stereo image processing; video signal processing; wavelet transforms; 3D complex wavelet domain; 3D complex wavelet transform; content based video retrieval; information technology; spatio temporal key-point detection; static video frames; video data retrieval; video representation; Accuracy; Discrete wavelet transforms; Feature extraction; Indexing; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications (SPCOM), 2012 International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4673-2013-9
Type :
conf
DOI :
10.1109/SPCOM.2012.6290008
Filename :
6290008
Link To Document :
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