|
|
|
| Ensemble Similarity-Blased Video Retrieval |
| Deng Li; Jin Li-zuo; Fei Shu-min |
| Department of Automatic Control Engineering, Southeast University, Nanjing 210096, China |
|
|
|
|
Abstract In this paper, a novel method is proposed to determine the similarity between shots. Firstly, a shot is treated as an ensemble that consists of a sequence of video frames. Shot similarity can be measured by ensemble similarity. Secondly, the original space is mapped to a high dimension space by a nonlinear mapping. In this space, distribution of the ensemble can be assumed as a normal distribution. Finally, by kernel method, the probability distance is computed directly. This distance is equivalent to the ensemble similarity. So, the shot similarity is also obtained. Experimental results show that this method achieves superior performance than the traditional Euclidean distance and histogram intersection methods.
|
|
Received: 20 February 2006
|
|
|
|
|
|
|
|
|
2007, Vol. 29 
