Publication Type
Conference Paper
Version
submittedVersion
Publication Date
7-2003
Abstract
In this paper, a new two-phase scheme for video similarity detection is proposed. For each video sequence, we extract two kinds of signatures with different granularities: coarse and fine. Coarse signature is based on the Pyramid Density Histogram (PDH) technique and fine signature is based on the Nearest Feature Trajectory (NFT) technique. In the first phase, most of unrelated video data are filtered out with respect to the similarity measure of the coarse signature. In the second phase, the query video example is compared with the results of the first phase according to the similarity measure of the fine signature. Different from the conventional nearest neighbor comparison, our NFT based similarity measurement method well incorporates the temporal order of video sequences. Experimental results show that our scheme achieves better quality results than the conventional approach.
Discipline
Computer Sciences
Publication
In International Conference on Image and Video Retrieval (CIVR2003)
First Page
373
Last Page
382
Identifier
10.1007/3-540-45113-7_37
City or Country
Urbana-Champaign, Illinois
Citation
HOI, Steven; Wang, Wei; and Lyu, Michael R..
A Novel Scheme for Video Similarity Detection. (2003). In International Conference on Image and Video Retrieval (CIVR2003). 373-382.
Available at: https://ink.library.smu.edu.sg/sis_research/2401
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.