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ICASSP
2010
IEEE
15 years 4 months ago
On-the-fly video genre classification by combination of audio features
Video genre identification methods are frequently based on image or motion analysis, which are relatively timeconsuming processes. Since such approaches are tractable by batch pro...
Mickael Rouvier, Georges Linares, Driss Matrouf
ICCV
2009
IEEE
15 years 4 months ago
A prism-based system for multispectral video acquisition
In this paper, we propose a prism-based system for capturing multispectral videos. The system consists of a triangular prism, a monochrome camera, and an occlusion mask. Incoming ...
Hao Du, Xin Tong, Xun Cao, Stephen Lin
CVPR
2004
IEEE
16 years 8 months ago
Video Data Mining Using Configurations of Viewpoint Invariant Regions
We describe a method for obtaining the principal objects, characters and scenes in a video by measuring the reoccurrence of spatial configurations of viewpoint invariant features....
Josef Sivic, Andrew Zisserman
ICIP
2007
IEEE
16 years 8 months ago
Finding Regions of Interest in Home Videos Based on Camera Motion
In this paper, we propose an algorithm for identifying regions of interest (ROIs) in video, particularly for the keyframes extracted from a home video. The camera motion is introd...
Golnaz Abdollahian, Edward J. Delp
ICIP
2005
IEEE
16 years 8 months ago
Homogeneity-based directional sigma filtering of video noise
This paper proposes a real-time method for the reduction of white Gaussian video noise. The method achieves a maximum gain of 4.8 dB and is capable of preserving image content. It...
Mohammed Ghazal, Aishy Amer, Ali Ghrayeb